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Three months of COVID-19 may mean 80,000 missed cancer diagnoses

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Thu, 12/15/2022 - 17:36

More than 80,000 diagnoses of five common cancers may be missed or delayed by early June because of disruptions to health care caused by the COVID-19 pandemic, according to a report by the IQVIA Institute for Human Data Science looking at trends in the United States.

Screening and monitoring tests for breast, prostate, colorectal, cervical, and lung cancer were down 39%-90% in early April, compared with the baseline month of February, according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

These findings are based on data from IQVIA’s medical claims database, which includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data suggest that, at current positivity rates, there could be 36,000 missed or delayed diagnoses of breast cancer during the 3-month period from early March through early June. Estimates for missed diagnoses of the four other cancers analyzed include 450 for lung cancer, 2,500 for cervical cancer, 18,800 for colorectal cancer, and 22,600 for prostate cancer.

The authors project a total of 22 million canceled or delayed tests for the five cancers over the 3-month period ending June 5, based on a comparison of claims data for early April with the February baseline. Catching up on this backlog will be problematic, according to the authors.

“Current excess health care capacity ... would require providers to shift priorities to make time and space in schedules and facilities as well as the cooperation of patients to return to health care providers,” the authors wrote. “Both of these could be further disrupted by economic factors or reintroduction of social distancing in a reemergence of the outbreak.”


The report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

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More than 80,000 diagnoses of five common cancers may be missed or delayed by early June because of disruptions to health care caused by the COVID-19 pandemic, according to a report by the IQVIA Institute for Human Data Science looking at trends in the United States.

Screening and monitoring tests for breast, prostate, colorectal, cervical, and lung cancer were down 39%-90% in early April, compared with the baseline month of February, according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

These findings are based on data from IQVIA’s medical claims database, which includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data suggest that, at current positivity rates, there could be 36,000 missed or delayed diagnoses of breast cancer during the 3-month period from early March through early June. Estimates for missed diagnoses of the four other cancers analyzed include 450 for lung cancer, 2,500 for cervical cancer, 18,800 for colorectal cancer, and 22,600 for prostate cancer.

The authors project a total of 22 million canceled or delayed tests for the five cancers over the 3-month period ending June 5, based on a comparison of claims data for early April with the February baseline. Catching up on this backlog will be problematic, according to the authors.

“Current excess health care capacity ... would require providers to shift priorities to make time and space in schedules and facilities as well as the cooperation of patients to return to health care providers,” the authors wrote. “Both of these could be further disrupted by economic factors or reintroduction of social distancing in a reemergence of the outbreak.”


The report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

More than 80,000 diagnoses of five common cancers may be missed or delayed by early June because of disruptions to health care caused by the COVID-19 pandemic, according to a report by the IQVIA Institute for Human Data Science looking at trends in the United States.

Screening and monitoring tests for breast, prostate, colorectal, cervical, and lung cancer were down 39%-90% in early April, compared with the baseline month of February, according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

These findings are based on data from IQVIA’s medical claims database, which includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data suggest that, at current positivity rates, there could be 36,000 missed or delayed diagnoses of breast cancer during the 3-month period from early March through early June. Estimates for missed diagnoses of the four other cancers analyzed include 450 for lung cancer, 2,500 for cervical cancer, 18,800 for colorectal cancer, and 22,600 for prostate cancer.

The authors project a total of 22 million canceled or delayed tests for the five cancers over the 3-month period ending June 5, based on a comparison of claims data for early April with the February baseline. Catching up on this backlog will be problematic, according to the authors.

“Current excess health care capacity ... would require providers to shift priorities to make time and space in schedules and facilities as well as the cooperation of patients to return to health care providers,” the authors wrote. “Both of these could be further disrupted by economic factors or reintroduction of social distancing in a reemergence of the outbreak.”


The report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

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Cancer screening, monitoring down during pandemic

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Thu, 12/15/2022 - 17:36

 

The use of some cancer screening and monitoring tests in the United States came to “a near standstill” in early April, according to a report by the IQVIA Institute for Human Data Science.

There were 90% fewer colonoscopies ordered during the week ending April 10, compared with the weekly average for Feb. 1-28, based on claims data analyzed by IQVIA.

IQVIA’s medical claims database includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data also showed an 87% reduction in mammograms and an 83% reduction in Pap smears during the week ending April 10. Prostate-specific antigen tests for prostate cancer decreased by 60%, and CT scans for lung cancer decreased by 39%.

The smaller decrease in CT scans for lung cancer “may reflect the generally more serious nature of those tumors or be due to concerns about ruling out COVID-related issues in some patients,” according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

The report also showed that overall patient interactions with oncologists were down by 20% through April 3, based on medical and pharmacy claims processed since February, but there was variation by tumor type.

The authors noted “little or no disruption” in oncologist visits in March for patients with aggressive tumors or those diagnosed at advanced stages, compared with February. However, for patients with skin cancer or prostate cancer, visit rates were down by 20%-50% in March.

“This may reflect that oncologists who are providing care across multiple tumor types are prioritizing their time and efforts to those patients with more advanced or aggressive tumors,” the authors wrote.

This report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

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The use of some cancer screening and monitoring tests in the United States came to “a near standstill” in early April, according to a report by the IQVIA Institute for Human Data Science.

There were 90% fewer colonoscopies ordered during the week ending April 10, compared with the weekly average for Feb. 1-28, based on claims data analyzed by IQVIA.

IQVIA’s medical claims database includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data also showed an 87% reduction in mammograms and an 83% reduction in Pap smears during the week ending April 10. Prostate-specific antigen tests for prostate cancer decreased by 60%, and CT scans for lung cancer decreased by 39%.

The smaller decrease in CT scans for lung cancer “may reflect the generally more serious nature of those tumors or be due to concerns about ruling out COVID-related issues in some patients,” according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

The report also showed that overall patient interactions with oncologists were down by 20% through April 3, based on medical and pharmacy claims processed since February, but there was variation by tumor type.

The authors noted “little or no disruption” in oncologist visits in March for patients with aggressive tumors or those diagnosed at advanced stages, compared with February. However, for patients with skin cancer or prostate cancer, visit rates were down by 20%-50% in March.

“This may reflect that oncologists who are providing care across multiple tumor types are prioritizing their time and efforts to those patients with more advanced or aggressive tumors,” the authors wrote.

This report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

 

The use of some cancer screening and monitoring tests in the United States came to “a near standstill” in early April, according to a report by the IQVIA Institute for Human Data Science.

There were 90% fewer colonoscopies ordered during the week ending April 10, compared with the weekly average for Feb. 1-28, based on claims data analyzed by IQVIA.

IQVIA’s medical claims database includes more than 205 million patients, over 1.7 billion claims, and 3 billion service records obtained annually.

The data also showed an 87% reduction in mammograms and an 83% reduction in Pap smears during the week ending April 10. Prostate-specific antigen tests for prostate cancer decreased by 60%, and CT scans for lung cancer decreased by 39%.

The smaller decrease in CT scans for lung cancer “may reflect the generally more serious nature of those tumors or be due to concerns about ruling out COVID-related issues in some patients,” according to report authors Murray Aitken and Michael Kleinrock, both of IQVIA.

The report also showed that overall patient interactions with oncologists were down by 20% through April 3, based on medical and pharmacy claims processed since February, but there was variation by tumor type.

The authors noted “little or no disruption” in oncologist visits in March for patients with aggressive tumors or those diagnosed at advanced stages, compared with February. However, for patients with skin cancer or prostate cancer, visit rates were down by 20%-50% in March.

“This may reflect that oncologists who are providing care across multiple tumor types are prioritizing their time and efforts to those patients with more advanced or aggressive tumors,” the authors wrote.

This report was produced by the IQVIA Institute for Human Data Science without industry or government funding.

SOURCE: Murray A and Kleinrock M. Shifts in healthcare demand, delivery and care during the COVID-19 era. IQVIA Institute for Human Data Science. April 2020.

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Cardiovascular Effects of Tyrosine Kinase Inhibitors in Patients With Advanced Renal Cell Carcinoma at the VA San Diego Healthcare System (FULL)

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Cardiovascular Effects of Tyrosine Kinase Inhibitors in Patients With Advanced Renal Cell Carcinoma at the VA San Diego Healthcare System

Patients who have or are at high risk for developing cardiovascular disease and who are taking tyrosine kinase inhibitors for renal cell carcinoma should receive routine cardiovascular event monitoring during the first 4 months of therapy.

Targeted therapies have transformed the treatment of many malignant diseases by inhibiting molecular pathways involved in tumor growth and oncogenesis. Although these therapies can prevent disease progression, toxicities often result. Renal cell carcinoma (RCC) is one of many cancers that responds well to these therapies.

RCC accounts for 2% to 3% of all malignancies in adults worldwide. About 30% of patients with RCC present with metastatic or advanced disease.1 Cytokine therapy was the standard of care until multitargeted tyrosine kinase inhibitors (TKIs) were developed. Over the past 12 years, the US Food and Drug Administration (FDA) has approved 6 TKIs for the treatment of RCC: axitinib, cabozantinib, lenvatinib, pazopanib, sorafenib, and sunitinib. Vascular endothelial growth factor receptor (VEGFR) is one of many tyrosine kinase receptors targeted by these medications. This mechanism prevents angiogenesis and consequently increases the risk for hypertension, bleeding, and clot formation.

Given these risks, many patients were excluded from the initial clinical trials of these medications if they had a history of uncontrolled hypertension, advanced heart failure (HF), or a significant cardiovascular (CV) event within 6 months prior to study enrollment. Many of these studies did not report the incidence of CV events (other than hypertension) that occurred during the early trials.2 The recommended monitoring for TKI therapies is focused mainly on blood pressure. For patients on pazopanib and sunitinib therapy, baseline and periodic electrocardiograms (ECGs) are recommended; echocardiograms are recommended only for patients with a history of cardiac disease.3,4 In patients on sorafenib therapy, ECG is recommended for those at risk for corrected QT (QTc) intervalprolongation.5

According to a meta-analysis of the literature published between 1966 and 2013,many studies reported a CV toxicity risk associated with the TKIs used in RCC treatment.6 However, some studies have found modest, not clinically significant changes in cardiac function in patients with advanced disease. In 2013, Hall and colleagues found 73% of patients they studied experienced some type of CV toxicity, whereas only 33% of patients had CV toxicity when hypertension was excluded.7 Interestingly, Rini and colleagues found that RCC patients receiving sunitinib had better response rates and progression-free survival when they developed hypertension compared with those who did not develop hypertension.8

A review of several studies revealed similar numbers in patients on TKI therapy presenting with symptomatic HF, but Hall and colleagues found that 27% of patients developed asymptomatic left ventricular dysfunction.7,9,10 These results suggest routine monitoring may allow for appropriate preventive interventions. In patients receiving TKI therapy, CV events, including QTc prolongation, left ventricular HF, myocardial infarction (MI), hypertension, pulmonary hypertension, and stroke, were commonly reported by investigators.7,9,10 Currently, there are no studies of the incidence of CV events for the 5 TKIs (axitinib, cabozantinib, pazopanib, sorafenib, sunitinib) in this patient population.

TKI therapy may require cardiac monitoring of all patients, as studies have associated TKIs with CV toxicity in varying degrees. Therefore, the authors set out to determine the incidence of CV events as well as time to first CV event in patients with and without a history of CV disease (CVD) who received a TKI for advanced RCC. More frequent monitoring for CV toxicity may present opportunities for clinical interventions for all patients on TKI therapy—especially for those with HF or other diseases in which the goal of therapy is to prevent disease progression. As TKIs have emerged as the standard treatment option for advanced RCC, many patients will continue therapy until disease progression or intolerable toxicity. Identifying and using appropriate monitoring parameters can lead to preventive interventions that allow patients to benefit from TKI therapy longer. At the US Department of Veterans Affairs (VA) San Diego Healthcare System (VASDHS), patients undergo routine cardiac monitoring at the discretion of the provider.

In this retrospective study, the authors wanted to determine the incidence of CV events in patients with and without a history of CVD who were receiving TKIs for advanced RCC. The authors also wanted to evaluate time to CV event from start of therapy in order to determine how often monitoring may be needed. The outcomes of this study may lead to a change in practice and development of monitoring parameters to ensure appropriate and adequate management of TKI therapy in RCC.

 

 

Methods

Each year, the VASDHS oncology team diagnose 5 to 10 patients with RCC who begin TKI therapy. When sorafenib was approved by the FDA in 2005, VASDHS estimated that about 100 of its patients had an RCC diagnosis and would be treated with a TKI between December 2005 and July 2017.

The authors identified VASDHS patients with a diagnosis of advanced RCC who received axitinib, cabozantinib, pazopanib, sorafenib, or sunitinib between December 1, 2005 and July 31, 2017. Patients were included if they had been on therapy for at least 30 days. The VASDHS pharmacy informatics team assisted in extracting a list of patients with an ICD-9 or ICD-10 diagnosis of RCC and using prescription fills for any of the 5 TKIs previously noted. Medical records were reviewed for frequency of prescription fills, age, sex, Eastern Cooperative Oncology Group (ECOG) performance status, TKI treatment duration, previous history of CVD, ethnicity, and smoking status. If documented, the incidence of CV events was reviewed for each patient at 0, 1, 3, 6, and 12 months. Patients who received medications (Appendix) for their CVD were assessed for adherence based on history of prescription refills from their medical records. Adherence was evaluated for the duration that patients were concurrently taking an oral TKI. The institutional review board at VASDHS approved the study design.

All patients included in this study started TKI therapy since the December 2005 FDA approval of sorafenib, the first oral TKI for treatment of RCC. Each new start was recorded as a separate event, regardless of previous oral TKI therapy. Albiges and colleagues found that the approximate median time from starting TKI therapy to complete response was 12.6 months, and the median duration of TKI therapy after complete response was 10.3 months.11 Based on these results, the follow-up period for patients in this study was 2 years after the start of each TKI therapy. For data analysis, patients were stratified by CVD history (yes or no). In addition, composite outcomes were evaluated to identify a potential cumulative increased risk for CV events for patients who had been on multiple TKI therapies.

For this study, CV toxicities were characterized using Common Terminology Criteria for Adverse Events (CTCAE) version 4.03; severity of adverse events (AEs) was graded 1 to 5. CTCAE commonly has been used to assess AEs in oncology clinical trials. The CV AEs selected for this study included QTc prolongation, hypertension, left ventricular dysfunction, stroke, myocardial infarction (MI), and pulmonary arterial hypertension. CTCAE was not used to assess left ventricular dysfunction, as the rating is based on symptomology. Instead, worsening left ventricular ejection fraction (LVEF) was based on comparisons of ECG results at baseline with results at 1, 3, 6, and 12 months. A normal ECG result was defined as no structural change in the left ventricle, or LVEF 55%, and an abnormal result was defined as structural changes in the left ventricle, or LVEF < 55%. Given updates in blood pressure (BP) guidelines and uncertainty regarding the clinical utility of prehypertension, grade 1 hypertension was excluded as an AE.

 

 

Primary outcomes included incidence of CV events and time to first CV event after initiation of TKI therapy. Secondary outcomes included changes in ECG or echocardiogram results at 0, 1, 3, 6, and 12 months. Secondary outcomes at scheduled time points were not readily available for every patient, but any available time points were gathered to aid in identifying an optimal period for cardiac monitoring. In addition, patients with a history of CVD were evaluated for adherence to common first-line therapies for each disease.

A Fischer exact test was used to compare the incidence of CV events in patients with and without a history of CVD (significance level, α = 0.05). A subgroup analysis was used to compare the incidence of CV events in patients who experienced a CV event (significance level, α = 0.05). A Kaplan-Meier survival curve was used to determine time to first CV event. A log-rank test with significance level set at α = 0.05 also was used.

Results

An initial database search identified 134 patients who received TKI therapy at VASDHS between December 1, 2005 and July 31, 2017. According to retrospective chart review, 54 patients met the inclusion criteria for the study (Table 1).

Patients without a history of CVD (17%) did not experience any CV events while on TKI therapy. Of the patients with a history of CVD, 9 (20%) experienced ≥ 1 CV event. Fifty-five percent of the events experienced were hypertension. One patient experienced QTc prolongation, and 2 patients experienced MI. As already noted, each new start of TKI was recorded as a separate event, regardless of previous TKI therapy. Among patients with a history of CVD, 2 experienced 2 CV events. Overall, 11 CV events occurred among patients who received ≥ 1 TKI, corresponding to an overall incidence of 24% (Table 2). 

Most CV events occurred within the first 6 months of therapy, with median time to first CV event of 2 months (Figures 1 and 2). Median duration of therapy for these patients was 6 months. All CV events occurred within the first year of therapy (Figures 3 and 4), except for 1 event that occurred at 28 months. 
 
  A review of the charts of the 11 patients who experienced a CV event revealed that 1 patient was adherent to prior CV therapy, 5 patients were not adherent, and 5 patients had not been on any prior CV therapy.

Of the 13 patients who were exposed to ≥ 2 TKI therapies, 2 experienced a CV event. Both patients were started on sunitinib and were switched to sorafenib. One of these used sunitinib for 7 months, experienced a partial response and was switched to sorafenib (with a 3-month break between therapies). The second patient was on sunitinib for 24 months, with multiple doses held because of low blood counts and diarrhea. While on sunitinib, this patient experienced a HF exacerbation, determined to be caused by the underlying disease. This event occurred 17 months after sunitinib was started, and therapy was continued for another 7 months. The patient was switched to sorafenib because of poor tolerability and disease progression. While on sorafenib, this patient experienced grade 1 QTc prolongation.

 

 

Discussion

Of the available oral TKI therapies for RCC, sunitinib and sorafenib have the most data associated with nonhypertensive CV toxicity.2,7-10,12 Instudies, the percentage of patients who experienced CV toxicity while on sunitinib or sorafenib has ranged widely, from 2.7% to 33.8%; the variance may be attributable to differences in how institutions report CV toxicities.7-9

According to the prescribing information for TKIs, hypertension is frequently reported as an AE for all 5 TKIs, and BP monitoring is recommended.3,4 However, the development of hypertension with these TKIs has been associated with response to therapy.7 With pazopanib, sorafenib, and sunitinib, there is a higher incidence of other AEs: edema, HF, MI, and QTc prolongation. Baseline ECG is recommended for all patients started on pazopanib and sunitinib and for patients with a history of CVD who are started on sorafenib. An ECG is recommended for patients with a history of CVD who are started on pazopanib and sunitinib.

Even with the medication prescribing information recommendations, it is unclear how frequently patients should be monitored. At VASDHS, CV monitoring for any patient started on a TKI remains at the discretion of the oncologist. There are concerns that ordering cardiac monitoring tests, which might be unnecessary, will change or guide therapy. In this study, data evaluation revealed 1 patient who experienced a CV event had a CVD history that was not documented in the patient’s medical history. It is important that providers obtain a detailed clinical assessment of patients CV history during each visit to determine whether CV monitoring should be considered. Patients also may benefit from additional counseling to emphasize the importance of adherence to CV medication therapy to reduce the incidence of these events.

Data from this study indicate that routine CV monitoring should be considered in patients with CVD, in keeping with current medication prescribing information recommendations. Of the patients who had a CV event, 54% experienced hypertension, 18% MI, and 28% stroke, QTc prolongation, or congestive HF. 

All these patients had a history of CVD, but many did not undergo baseline CV monitoring (Table 3) at the start of therapy. Thus, it was difficult to determine whether these patients’ CV events could have been prevented with baseline monitoring. However, baseline and routine cardiac monitoring within the first 4 months of therapy may help identify worsening CV function.

Limitations

This retrospective study had several limitations. Many patients did not have a baseline cardiac monitoring test or any monitoring during therapy. Often, a cardiac test was performed only when the patient was symptomatic or experiencing a CV event. In addition, because of intolerance or nonadherence to therapy, many patients discontinued treatment early, before completing 30 days. That axitinib and cabozantinib are newer therapies and not first-line at VASDHS during the data collection period accounts for the small number of patients on these therapies. Therapy was shorter for patients started on pazopanib, axitinib, and cabozantinib than it was for patients on sunitinib and sorafenib. Duration of therapy may affect treatment-related events, but the majority of patients in this study experienced an event within 4 months of therapy. About half of the patients who experienced an event were nonadherent to their CV medication regimen. Another potential limitation is that this study was conducted at VASDHS, where most patients are male (RCC incidence is 2:1 male:female).

 

 

Conclusion

In this study, CV events occurred in 24% of patients with a history of CVD; 11% of these events were nonhypertensive. Baseline cardiac monitoring was not performed for most patients started on TKI therapy, but tests were performed once patients became symptomatic. The study results suggest that high-risk patients should undergo routine cardiac monitoring during the first 4 months of TKI therapy, in keeping with medication package insert monitoring recommendations. Cardiac monitoring of high-risk patients will allow for earlier identification of cardiac decline and offer opportunities for interventions, such as pharmacist-driven protocols to start CV medications. Implementation of this study’s recommendations should be evaluated to determine whether outcomes improve with routine cardiac monitoring in these high-risk patients.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, FrontlineMedical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

References

1. Rini, BI, Escudier B, Tomczak P, et al. Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial. Lancet. 2011;378(9807):1931-1939.

2. Tolcher AW, Appleman LJ, Shapiro GI, et al. A phase I open-label study evaluating the cardiovascular safety of sorafenib in patients with advanced cancer. Cancer Chemother Pharmacol. 2011;67(4):751-764.

3. Votrient [package insert]. Research Triangle Park, NC: GlaxoSmithKline; 2017.

4. Sutent [package insert]. New York, NY: Pfizer Labs; 2018.

5. Nexavar [package insert]. Wayne, NJ; Bayer HealthCare Pharmaceuticals Inc; 2018.

6. Ghatalia P, Morgan CJ, Je Y, et al. Congestive heart failure with vascular endothelial growth factor receptor tyrosine kinase inhibitors. Crit Rev Oncol Hematol 2015;94:228–237.

7. Hall PS, Harshman LC, Srinivas S, Witteles RM. The frequency and severity of cardiovascular toxicity from targeted therapy in advanced renal cell carcinoma patients. JACC Heart Fail. 2013;1(1):72-78.

8. Rini BI, Cohen DP, Lu DR, et al. Hypertension as a biomarker of efficacy in patients with metastatic renal cell carcinoma treated with sunitinib. J Natl Cancer Inst. 2011;103(9):763-773.

9. Richards CJ, Je Y, Schutz FA, et al. Incidence and risk of congestive heart failure in patients with renal and nonrenal cell carcinoma treated with sunitinib. J Clin Oncol. 2011;29(25):3450-3456.

10. Schmidinger M, Zielinski CC, Vogl UM, et al. Cardiac toxicity of sunitinib and sorafenib in patients with metastatic renal cell carcinoma. J Clin Oncol. 2008;26(32):5204-5212.

11. Albiges L, Oudard S, Negrier S, et al. Complete remission with tyrosine kinase inhibitors in renal cell carcinoma. J Clin Oncol. 2012;30(5):482-487.

12. Jang S, Zheng C, Tsai HT, et al. Cardiovascular toxicity after antiangiogenic therapy in persons older than 65 years with advanced renal cell carcinoma. Cancer. 2016;122(1):124-130

13. James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507-520.

14. Yancy CW, Jessup M, Bozkurt B, et al. ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. JACC. 2017;70(6):776-803.

15. Kernan WN, Ovbiagele B, Black HR, et al; American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, and Council on Peripheral Vascular Disease. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):2160-2236.

16. O’Gara PT, Kushner FG, Ascheim DD, et al; American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. JACC. 2013;61(4):e78-e140.

17. Amsterdam EA, Wenger NK, Brindis RG, et al. 2014 AHA/ACC guideline for the management of patients with non–ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64(24):e139-e228.

18. Galiè N, Humbert M, Vachiery JL, et al; ESC Scientific Document Group. 2015 ESC/ERS guidelines for the diagnosis and treatment of pulmonary hypertension: the Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Heart J. 2016;37(1):67-119.

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Angela Yuen is a Clinical Infusion Pharmacist at University of California San Diego Health Moores Cancer Center, and Bailey Crandall is an Oncology Clinical Pharmacy Specialist at the VA San Diego Healthcare System.
Correspondence: Bailey Crandall ([email protected])

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Correspondence: Bailey Crandall ([email protected])

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Angela Yuen is a Clinical Infusion Pharmacist at University of California San Diego Health Moores Cancer Center, and Bailey Crandall is an Oncology Clinical Pharmacy Specialist at the VA San Diego Healthcare System.
Correspondence: Bailey Crandall ([email protected])

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Patients who have or are at high risk for developing cardiovascular disease and who are taking tyrosine kinase inhibitors for renal cell carcinoma should receive routine cardiovascular event monitoring during the first 4 months of therapy.

Patients who have or are at high risk for developing cardiovascular disease and who are taking tyrosine kinase inhibitors for renal cell carcinoma should receive routine cardiovascular event monitoring during the first 4 months of therapy.

Targeted therapies have transformed the treatment of many malignant diseases by inhibiting molecular pathways involved in tumor growth and oncogenesis. Although these therapies can prevent disease progression, toxicities often result. Renal cell carcinoma (RCC) is one of many cancers that responds well to these therapies.

RCC accounts for 2% to 3% of all malignancies in adults worldwide. About 30% of patients with RCC present with metastatic or advanced disease.1 Cytokine therapy was the standard of care until multitargeted tyrosine kinase inhibitors (TKIs) were developed. Over the past 12 years, the US Food and Drug Administration (FDA) has approved 6 TKIs for the treatment of RCC: axitinib, cabozantinib, lenvatinib, pazopanib, sorafenib, and sunitinib. Vascular endothelial growth factor receptor (VEGFR) is one of many tyrosine kinase receptors targeted by these medications. This mechanism prevents angiogenesis and consequently increases the risk for hypertension, bleeding, and clot formation.

Given these risks, many patients were excluded from the initial clinical trials of these medications if they had a history of uncontrolled hypertension, advanced heart failure (HF), or a significant cardiovascular (CV) event within 6 months prior to study enrollment. Many of these studies did not report the incidence of CV events (other than hypertension) that occurred during the early trials.2 The recommended monitoring for TKI therapies is focused mainly on blood pressure. For patients on pazopanib and sunitinib therapy, baseline and periodic electrocardiograms (ECGs) are recommended; echocardiograms are recommended only for patients with a history of cardiac disease.3,4 In patients on sorafenib therapy, ECG is recommended for those at risk for corrected QT (QTc) intervalprolongation.5

According to a meta-analysis of the literature published between 1966 and 2013,many studies reported a CV toxicity risk associated with the TKIs used in RCC treatment.6 However, some studies have found modest, not clinically significant changes in cardiac function in patients with advanced disease. In 2013, Hall and colleagues found 73% of patients they studied experienced some type of CV toxicity, whereas only 33% of patients had CV toxicity when hypertension was excluded.7 Interestingly, Rini and colleagues found that RCC patients receiving sunitinib had better response rates and progression-free survival when they developed hypertension compared with those who did not develop hypertension.8

A review of several studies revealed similar numbers in patients on TKI therapy presenting with symptomatic HF, but Hall and colleagues found that 27% of patients developed asymptomatic left ventricular dysfunction.7,9,10 These results suggest routine monitoring may allow for appropriate preventive interventions. In patients receiving TKI therapy, CV events, including QTc prolongation, left ventricular HF, myocardial infarction (MI), hypertension, pulmonary hypertension, and stroke, were commonly reported by investigators.7,9,10 Currently, there are no studies of the incidence of CV events for the 5 TKIs (axitinib, cabozantinib, pazopanib, sorafenib, sunitinib) in this patient population.

TKI therapy may require cardiac monitoring of all patients, as studies have associated TKIs with CV toxicity in varying degrees. Therefore, the authors set out to determine the incidence of CV events as well as time to first CV event in patients with and without a history of CV disease (CVD) who received a TKI for advanced RCC. More frequent monitoring for CV toxicity may present opportunities for clinical interventions for all patients on TKI therapy—especially for those with HF or other diseases in which the goal of therapy is to prevent disease progression. As TKIs have emerged as the standard treatment option for advanced RCC, many patients will continue therapy until disease progression or intolerable toxicity. Identifying and using appropriate monitoring parameters can lead to preventive interventions that allow patients to benefit from TKI therapy longer. At the US Department of Veterans Affairs (VA) San Diego Healthcare System (VASDHS), patients undergo routine cardiac monitoring at the discretion of the provider.

In this retrospective study, the authors wanted to determine the incidence of CV events in patients with and without a history of CVD who were receiving TKIs for advanced RCC. The authors also wanted to evaluate time to CV event from start of therapy in order to determine how often monitoring may be needed. The outcomes of this study may lead to a change in practice and development of monitoring parameters to ensure appropriate and adequate management of TKI therapy in RCC.

 

 

Methods

Each year, the VASDHS oncology team diagnose 5 to 10 patients with RCC who begin TKI therapy. When sorafenib was approved by the FDA in 2005, VASDHS estimated that about 100 of its patients had an RCC diagnosis and would be treated with a TKI between December 2005 and July 2017.

The authors identified VASDHS patients with a diagnosis of advanced RCC who received axitinib, cabozantinib, pazopanib, sorafenib, or sunitinib between December 1, 2005 and July 31, 2017. Patients were included if they had been on therapy for at least 30 days. The VASDHS pharmacy informatics team assisted in extracting a list of patients with an ICD-9 or ICD-10 diagnosis of RCC and using prescription fills for any of the 5 TKIs previously noted. Medical records were reviewed for frequency of prescription fills, age, sex, Eastern Cooperative Oncology Group (ECOG) performance status, TKI treatment duration, previous history of CVD, ethnicity, and smoking status. If documented, the incidence of CV events was reviewed for each patient at 0, 1, 3, 6, and 12 months. Patients who received medications (Appendix) for their CVD were assessed for adherence based on history of prescription refills from their medical records. Adherence was evaluated for the duration that patients were concurrently taking an oral TKI. The institutional review board at VASDHS approved the study design.

All patients included in this study started TKI therapy since the December 2005 FDA approval of sorafenib, the first oral TKI for treatment of RCC. Each new start was recorded as a separate event, regardless of previous oral TKI therapy. Albiges and colleagues found that the approximate median time from starting TKI therapy to complete response was 12.6 months, and the median duration of TKI therapy after complete response was 10.3 months.11 Based on these results, the follow-up period for patients in this study was 2 years after the start of each TKI therapy. For data analysis, patients were stratified by CVD history (yes or no). In addition, composite outcomes were evaluated to identify a potential cumulative increased risk for CV events for patients who had been on multiple TKI therapies.

For this study, CV toxicities were characterized using Common Terminology Criteria for Adverse Events (CTCAE) version 4.03; severity of adverse events (AEs) was graded 1 to 5. CTCAE commonly has been used to assess AEs in oncology clinical trials. The CV AEs selected for this study included QTc prolongation, hypertension, left ventricular dysfunction, stroke, myocardial infarction (MI), and pulmonary arterial hypertension. CTCAE was not used to assess left ventricular dysfunction, as the rating is based on symptomology. Instead, worsening left ventricular ejection fraction (LVEF) was based on comparisons of ECG results at baseline with results at 1, 3, 6, and 12 months. A normal ECG result was defined as no structural change in the left ventricle, or LVEF 55%, and an abnormal result was defined as structural changes in the left ventricle, or LVEF < 55%. Given updates in blood pressure (BP) guidelines and uncertainty regarding the clinical utility of prehypertension, grade 1 hypertension was excluded as an AE.

 

 

Primary outcomes included incidence of CV events and time to first CV event after initiation of TKI therapy. Secondary outcomes included changes in ECG or echocardiogram results at 0, 1, 3, 6, and 12 months. Secondary outcomes at scheduled time points were not readily available for every patient, but any available time points were gathered to aid in identifying an optimal period for cardiac monitoring. In addition, patients with a history of CVD were evaluated for adherence to common first-line therapies for each disease.

A Fischer exact test was used to compare the incidence of CV events in patients with and without a history of CVD (significance level, α = 0.05). A subgroup analysis was used to compare the incidence of CV events in patients who experienced a CV event (significance level, α = 0.05). A Kaplan-Meier survival curve was used to determine time to first CV event. A log-rank test with significance level set at α = 0.05 also was used.

Results

An initial database search identified 134 patients who received TKI therapy at VASDHS between December 1, 2005 and July 31, 2017. According to retrospective chart review, 54 patients met the inclusion criteria for the study (Table 1).

Patients without a history of CVD (17%) did not experience any CV events while on TKI therapy. Of the patients with a history of CVD, 9 (20%) experienced ≥ 1 CV event. Fifty-five percent of the events experienced were hypertension. One patient experienced QTc prolongation, and 2 patients experienced MI. As already noted, each new start of TKI was recorded as a separate event, regardless of previous TKI therapy. Among patients with a history of CVD, 2 experienced 2 CV events. Overall, 11 CV events occurred among patients who received ≥ 1 TKI, corresponding to an overall incidence of 24% (Table 2). 

Most CV events occurred within the first 6 months of therapy, with median time to first CV event of 2 months (Figures 1 and 2). Median duration of therapy for these patients was 6 months. All CV events occurred within the first year of therapy (Figures 3 and 4), except for 1 event that occurred at 28 months. 
 
  A review of the charts of the 11 patients who experienced a CV event revealed that 1 patient was adherent to prior CV therapy, 5 patients were not adherent, and 5 patients had not been on any prior CV therapy.

Of the 13 patients who were exposed to ≥ 2 TKI therapies, 2 experienced a CV event. Both patients were started on sunitinib and were switched to sorafenib. One of these used sunitinib for 7 months, experienced a partial response and was switched to sorafenib (with a 3-month break between therapies). The second patient was on sunitinib for 24 months, with multiple doses held because of low blood counts and diarrhea. While on sunitinib, this patient experienced a HF exacerbation, determined to be caused by the underlying disease. This event occurred 17 months after sunitinib was started, and therapy was continued for another 7 months. The patient was switched to sorafenib because of poor tolerability and disease progression. While on sorafenib, this patient experienced grade 1 QTc prolongation.

 

 

Discussion

Of the available oral TKI therapies for RCC, sunitinib and sorafenib have the most data associated with nonhypertensive CV toxicity.2,7-10,12 Instudies, the percentage of patients who experienced CV toxicity while on sunitinib or sorafenib has ranged widely, from 2.7% to 33.8%; the variance may be attributable to differences in how institutions report CV toxicities.7-9

According to the prescribing information for TKIs, hypertension is frequently reported as an AE for all 5 TKIs, and BP monitoring is recommended.3,4 However, the development of hypertension with these TKIs has been associated with response to therapy.7 With pazopanib, sorafenib, and sunitinib, there is a higher incidence of other AEs: edema, HF, MI, and QTc prolongation. Baseline ECG is recommended for all patients started on pazopanib and sunitinib and for patients with a history of CVD who are started on sorafenib. An ECG is recommended for patients with a history of CVD who are started on pazopanib and sunitinib.

Even with the medication prescribing information recommendations, it is unclear how frequently patients should be monitored. At VASDHS, CV monitoring for any patient started on a TKI remains at the discretion of the oncologist. There are concerns that ordering cardiac monitoring tests, which might be unnecessary, will change or guide therapy. In this study, data evaluation revealed 1 patient who experienced a CV event had a CVD history that was not documented in the patient’s medical history. It is important that providers obtain a detailed clinical assessment of patients CV history during each visit to determine whether CV monitoring should be considered. Patients also may benefit from additional counseling to emphasize the importance of adherence to CV medication therapy to reduce the incidence of these events.

Data from this study indicate that routine CV monitoring should be considered in patients with CVD, in keeping with current medication prescribing information recommendations. Of the patients who had a CV event, 54% experienced hypertension, 18% MI, and 28% stroke, QTc prolongation, or congestive HF. 

All these patients had a history of CVD, but many did not undergo baseline CV monitoring (Table 3) at the start of therapy. Thus, it was difficult to determine whether these patients’ CV events could have been prevented with baseline monitoring. However, baseline and routine cardiac monitoring within the first 4 months of therapy may help identify worsening CV function.

Limitations

This retrospective study had several limitations. Many patients did not have a baseline cardiac monitoring test or any monitoring during therapy. Often, a cardiac test was performed only when the patient was symptomatic or experiencing a CV event. In addition, because of intolerance or nonadherence to therapy, many patients discontinued treatment early, before completing 30 days. That axitinib and cabozantinib are newer therapies and not first-line at VASDHS during the data collection period accounts for the small number of patients on these therapies. Therapy was shorter for patients started on pazopanib, axitinib, and cabozantinib than it was for patients on sunitinib and sorafenib. Duration of therapy may affect treatment-related events, but the majority of patients in this study experienced an event within 4 months of therapy. About half of the patients who experienced an event were nonadherent to their CV medication regimen. Another potential limitation is that this study was conducted at VASDHS, where most patients are male (RCC incidence is 2:1 male:female).

 

 

Conclusion

In this study, CV events occurred in 24% of patients with a history of CVD; 11% of these events were nonhypertensive. Baseline cardiac monitoring was not performed for most patients started on TKI therapy, but tests were performed once patients became symptomatic. The study results suggest that high-risk patients should undergo routine cardiac monitoring during the first 4 months of TKI therapy, in keeping with medication package insert monitoring recommendations. Cardiac monitoring of high-risk patients will allow for earlier identification of cardiac decline and offer opportunities for interventions, such as pharmacist-driven protocols to start CV medications. Implementation of this study’s recommendations should be evaluated to determine whether outcomes improve with routine cardiac monitoring in these high-risk patients.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, FrontlineMedical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

Targeted therapies have transformed the treatment of many malignant diseases by inhibiting molecular pathways involved in tumor growth and oncogenesis. Although these therapies can prevent disease progression, toxicities often result. Renal cell carcinoma (RCC) is one of many cancers that responds well to these therapies.

RCC accounts for 2% to 3% of all malignancies in adults worldwide. About 30% of patients with RCC present with metastatic or advanced disease.1 Cytokine therapy was the standard of care until multitargeted tyrosine kinase inhibitors (TKIs) were developed. Over the past 12 years, the US Food and Drug Administration (FDA) has approved 6 TKIs for the treatment of RCC: axitinib, cabozantinib, lenvatinib, pazopanib, sorafenib, and sunitinib. Vascular endothelial growth factor receptor (VEGFR) is one of many tyrosine kinase receptors targeted by these medications. This mechanism prevents angiogenesis and consequently increases the risk for hypertension, bleeding, and clot formation.

Given these risks, many patients were excluded from the initial clinical trials of these medications if they had a history of uncontrolled hypertension, advanced heart failure (HF), or a significant cardiovascular (CV) event within 6 months prior to study enrollment. Many of these studies did not report the incidence of CV events (other than hypertension) that occurred during the early trials.2 The recommended monitoring for TKI therapies is focused mainly on blood pressure. For patients on pazopanib and sunitinib therapy, baseline and periodic electrocardiograms (ECGs) are recommended; echocardiograms are recommended only for patients with a history of cardiac disease.3,4 In patients on sorafenib therapy, ECG is recommended for those at risk for corrected QT (QTc) intervalprolongation.5

According to a meta-analysis of the literature published between 1966 and 2013,many studies reported a CV toxicity risk associated with the TKIs used in RCC treatment.6 However, some studies have found modest, not clinically significant changes in cardiac function in patients with advanced disease. In 2013, Hall and colleagues found 73% of patients they studied experienced some type of CV toxicity, whereas only 33% of patients had CV toxicity when hypertension was excluded.7 Interestingly, Rini and colleagues found that RCC patients receiving sunitinib had better response rates and progression-free survival when they developed hypertension compared with those who did not develop hypertension.8

A review of several studies revealed similar numbers in patients on TKI therapy presenting with symptomatic HF, but Hall and colleagues found that 27% of patients developed asymptomatic left ventricular dysfunction.7,9,10 These results suggest routine monitoring may allow for appropriate preventive interventions. In patients receiving TKI therapy, CV events, including QTc prolongation, left ventricular HF, myocardial infarction (MI), hypertension, pulmonary hypertension, and stroke, were commonly reported by investigators.7,9,10 Currently, there are no studies of the incidence of CV events for the 5 TKIs (axitinib, cabozantinib, pazopanib, sorafenib, sunitinib) in this patient population.

TKI therapy may require cardiac monitoring of all patients, as studies have associated TKIs with CV toxicity in varying degrees. Therefore, the authors set out to determine the incidence of CV events as well as time to first CV event in patients with and without a history of CV disease (CVD) who received a TKI for advanced RCC. More frequent monitoring for CV toxicity may present opportunities for clinical interventions for all patients on TKI therapy—especially for those with HF or other diseases in which the goal of therapy is to prevent disease progression. As TKIs have emerged as the standard treatment option for advanced RCC, many patients will continue therapy until disease progression or intolerable toxicity. Identifying and using appropriate monitoring parameters can lead to preventive interventions that allow patients to benefit from TKI therapy longer. At the US Department of Veterans Affairs (VA) San Diego Healthcare System (VASDHS), patients undergo routine cardiac monitoring at the discretion of the provider.

In this retrospective study, the authors wanted to determine the incidence of CV events in patients with and without a history of CVD who were receiving TKIs for advanced RCC. The authors also wanted to evaluate time to CV event from start of therapy in order to determine how often monitoring may be needed. The outcomes of this study may lead to a change in practice and development of monitoring parameters to ensure appropriate and adequate management of TKI therapy in RCC.

 

 

Methods

Each year, the VASDHS oncology team diagnose 5 to 10 patients with RCC who begin TKI therapy. When sorafenib was approved by the FDA in 2005, VASDHS estimated that about 100 of its patients had an RCC diagnosis and would be treated with a TKI between December 2005 and July 2017.

The authors identified VASDHS patients with a diagnosis of advanced RCC who received axitinib, cabozantinib, pazopanib, sorafenib, or sunitinib between December 1, 2005 and July 31, 2017. Patients were included if they had been on therapy for at least 30 days. The VASDHS pharmacy informatics team assisted in extracting a list of patients with an ICD-9 or ICD-10 diagnosis of RCC and using prescription fills for any of the 5 TKIs previously noted. Medical records were reviewed for frequency of prescription fills, age, sex, Eastern Cooperative Oncology Group (ECOG) performance status, TKI treatment duration, previous history of CVD, ethnicity, and smoking status. If documented, the incidence of CV events was reviewed for each patient at 0, 1, 3, 6, and 12 months. Patients who received medications (Appendix) for their CVD were assessed for adherence based on history of prescription refills from their medical records. Adherence was evaluated for the duration that patients were concurrently taking an oral TKI. The institutional review board at VASDHS approved the study design.

All patients included in this study started TKI therapy since the December 2005 FDA approval of sorafenib, the first oral TKI for treatment of RCC. Each new start was recorded as a separate event, regardless of previous oral TKI therapy. Albiges and colleagues found that the approximate median time from starting TKI therapy to complete response was 12.6 months, and the median duration of TKI therapy after complete response was 10.3 months.11 Based on these results, the follow-up period for patients in this study was 2 years after the start of each TKI therapy. For data analysis, patients were stratified by CVD history (yes or no). In addition, composite outcomes were evaluated to identify a potential cumulative increased risk for CV events for patients who had been on multiple TKI therapies.

For this study, CV toxicities were characterized using Common Terminology Criteria for Adverse Events (CTCAE) version 4.03; severity of adverse events (AEs) was graded 1 to 5. CTCAE commonly has been used to assess AEs in oncology clinical trials. The CV AEs selected for this study included QTc prolongation, hypertension, left ventricular dysfunction, stroke, myocardial infarction (MI), and pulmonary arterial hypertension. CTCAE was not used to assess left ventricular dysfunction, as the rating is based on symptomology. Instead, worsening left ventricular ejection fraction (LVEF) was based on comparisons of ECG results at baseline with results at 1, 3, 6, and 12 months. A normal ECG result was defined as no structural change in the left ventricle, or LVEF 55%, and an abnormal result was defined as structural changes in the left ventricle, or LVEF < 55%. Given updates in blood pressure (BP) guidelines and uncertainty regarding the clinical utility of prehypertension, grade 1 hypertension was excluded as an AE.

 

 

Primary outcomes included incidence of CV events and time to first CV event after initiation of TKI therapy. Secondary outcomes included changes in ECG or echocardiogram results at 0, 1, 3, 6, and 12 months. Secondary outcomes at scheduled time points were not readily available for every patient, but any available time points were gathered to aid in identifying an optimal period for cardiac monitoring. In addition, patients with a history of CVD were evaluated for adherence to common first-line therapies for each disease.

A Fischer exact test was used to compare the incidence of CV events in patients with and without a history of CVD (significance level, α = 0.05). A subgroup analysis was used to compare the incidence of CV events in patients who experienced a CV event (significance level, α = 0.05). A Kaplan-Meier survival curve was used to determine time to first CV event. A log-rank test with significance level set at α = 0.05 also was used.

Results

An initial database search identified 134 patients who received TKI therapy at VASDHS between December 1, 2005 and July 31, 2017. According to retrospective chart review, 54 patients met the inclusion criteria for the study (Table 1).

Patients without a history of CVD (17%) did not experience any CV events while on TKI therapy. Of the patients with a history of CVD, 9 (20%) experienced ≥ 1 CV event. Fifty-five percent of the events experienced were hypertension. One patient experienced QTc prolongation, and 2 patients experienced MI. As already noted, each new start of TKI was recorded as a separate event, regardless of previous TKI therapy. Among patients with a history of CVD, 2 experienced 2 CV events. Overall, 11 CV events occurred among patients who received ≥ 1 TKI, corresponding to an overall incidence of 24% (Table 2). 

Most CV events occurred within the first 6 months of therapy, with median time to first CV event of 2 months (Figures 1 and 2). Median duration of therapy for these patients was 6 months. All CV events occurred within the first year of therapy (Figures 3 and 4), except for 1 event that occurred at 28 months. 
 
  A review of the charts of the 11 patients who experienced a CV event revealed that 1 patient was adherent to prior CV therapy, 5 patients were not adherent, and 5 patients had not been on any prior CV therapy.

Of the 13 patients who were exposed to ≥ 2 TKI therapies, 2 experienced a CV event. Both patients were started on sunitinib and were switched to sorafenib. One of these used sunitinib for 7 months, experienced a partial response and was switched to sorafenib (with a 3-month break between therapies). The second patient was on sunitinib for 24 months, with multiple doses held because of low blood counts and diarrhea. While on sunitinib, this patient experienced a HF exacerbation, determined to be caused by the underlying disease. This event occurred 17 months after sunitinib was started, and therapy was continued for another 7 months. The patient was switched to sorafenib because of poor tolerability and disease progression. While on sorafenib, this patient experienced grade 1 QTc prolongation.

 

 

Discussion

Of the available oral TKI therapies for RCC, sunitinib and sorafenib have the most data associated with nonhypertensive CV toxicity.2,7-10,12 Instudies, the percentage of patients who experienced CV toxicity while on sunitinib or sorafenib has ranged widely, from 2.7% to 33.8%; the variance may be attributable to differences in how institutions report CV toxicities.7-9

According to the prescribing information for TKIs, hypertension is frequently reported as an AE for all 5 TKIs, and BP monitoring is recommended.3,4 However, the development of hypertension with these TKIs has been associated with response to therapy.7 With pazopanib, sorafenib, and sunitinib, there is a higher incidence of other AEs: edema, HF, MI, and QTc prolongation. Baseline ECG is recommended for all patients started on pazopanib and sunitinib and for patients with a history of CVD who are started on sorafenib. An ECG is recommended for patients with a history of CVD who are started on pazopanib and sunitinib.

Even with the medication prescribing information recommendations, it is unclear how frequently patients should be monitored. At VASDHS, CV monitoring for any patient started on a TKI remains at the discretion of the oncologist. There are concerns that ordering cardiac monitoring tests, which might be unnecessary, will change or guide therapy. In this study, data evaluation revealed 1 patient who experienced a CV event had a CVD history that was not documented in the patient’s medical history. It is important that providers obtain a detailed clinical assessment of patients CV history during each visit to determine whether CV monitoring should be considered. Patients also may benefit from additional counseling to emphasize the importance of adherence to CV medication therapy to reduce the incidence of these events.

Data from this study indicate that routine CV monitoring should be considered in patients with CVD, in keeping with current medication prescribing information recommendations. Of the patients who had a CV event, 54% experienced hypertension, 18% MI, and 28% stroke, QTc prolongation, or congestive HF. 

All these patients had a history of CVD, but many did not undergo baseline CV monitoring (Table 3) at the start of therapy. Thus, it was difficult to determine whether these patients’ CV events could have been prevented with baseline monitoring. However, baseline and routine cardiac monitoring within the first 4 months of therapy may help identify worsening CV function.

Limitations

This retrospective study had several limitations. Many patients did not have a baseline cardiac monitoring test or any monitoring during therapy. Often, a cardiac test was performed only when the patient was symptomatic or experiencing a CV event. In addition, because of intolerance or nonadherence to therapy, many patients discontinued treatment early, before completing 30 days. That axitinib and cabozantinib are newer therapies and not first-line at VASDHS during the data collection period accounts for the small number of patients on these therapies. Therapy was shorter for patients started on pazopanib, axitinib, and cabozantinib than it was for patients on sunitinib and sorafenib. Duration of therapy may affect treatment-related events, but the majority of patients in this study experienced an event within 4 months of therapy. About half of the patients who experienced an event were nonadherent to their CV medication regimen. Another potential limitation is that this study was conducted at VASDHS, where most patients are male (RCC incidence is 2:1 male:female).

 

 

Conclusion

In this study, CV events occurred in 24% of patients with a history of CVD; 11% of these events were nonhypertensive. Baseline cardiac monitoring was not performed for most patients started on TKI therapy, but tests were performed once patients became symptomatic. The study results suggest that high-risk patients should undergo routine cardiac monitoring during the first 4 months of TKI therapy, in keeping with medication package insert monitoring recommendations. Cardiac monitoring of high-risk patients will allow for earlier identification of cardiac decline and offer opportunities for interventions, such as pharmacist-driven protocols to start CV medications. Implementation of this study’s recommendations should be evaluated to determine whether outcomes improve with routine cardiac monitoring in these high-risk patients.

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, FrontlineMedical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

References

1. Rini, BI, Escudier B, Tomczak P, et al. Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial. Lancet. 2011;378(9807):1931-1939.

2. Tolcher AW, Appleman LJ, Shapiro GI, et al. A phase I open-label study evaluating the cardiovascular safety of sorafenib in patients with advanced cancer. Cancer Chemother Pharmacol. 2011;67(4):751-764.

3. Votrient [package insert]. Research Triangle Park, NC: GlaxoSmithKline; 2017.

4. Sutent [package insert]. New York, NY: Pfizer Labs; 2018.

5. Nexavar [package insert]. Wayne, NJ; Bayer HealthCare Pharmaceuticals Inc; 2018.

6. Ghatalia P, Morgan CJ, Je Y, et al. Congestive heart failure with vascular endothelial growth factor receptor tyrosine kinase inhibitors. Crit Rev Oncol Hematol 2015;94:228–237.

7. Hall PS, Harshman LC, Srinivas S, Witteles RM. The frequency and severity of cardiovascular toxicity from targeted therapy in advanced renal cell carcinoma patients. JACC Heart Fail. 2013;1(1):72-78.

8. Rini BI, Cohen DP, Lu DR, et al. Hypertension as a biomarker of efficacy in patients with metastatic renal cell carcinoma treated with sunitinib. J Natl Cancer Inst. 2011;103(9):763-773.

9. Richards CJ, Je Y, Schutz FA, et al. Incidence and risk of congestive heart failure in patients with renal and nonrenal cell carcinoma treated with sunitinib. J Clin Oncol. 2011;29(25):3450-3456.

10. Schmidinger M, Zielinski CC, Vogl UM, et al. Cardiac toxicity of sunitinib and sorafenib in patients with metastatic renal cell carcinoma. J Clin Oncol. 2008;26(32):5204-5212.

11. Albiges L, Oudard S, Negrier S, et al. Complete remission with tyrosine kinase inhibitors in renal cell carcinoma. J Clin Oncol. 2012;30(5):482-487.

12. Jang S, Zheng C, Tsai HT, et al. Cardiovascular toxicity after antiangiogenic therapy in persons older than 65 years with advanced renal cell carcinoma. Cancer. 2016;122(1):124-130

13. James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507-520.

14. Yancy CW, Jessup M, Bozkurt B, et al. ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. JACC. 2017;70(6):776-803.

15. Kernan WN, Ovbiagele B, Black HR, et al; American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, and Council on Peripheral Vascular Disease. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):2160-2236.

16. O’Gara PT, Kushner FG, Ascheim DD, et al; American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. JACC. 2013;61(4):e78-e140.

17. Amsterdam EA, Wenger NK, Brindis RG, et al. 2014 AHA/ACC guideline for the management of patients with non–ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64(24):e139-e228.

18. Galiè N, Humbert M, Vachiery JL, et al; ESC Scientific Document Group. 2015 ESC/ERS guidelines for the diagnosis and treatment of pulmonary hypertension: the Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Heart J. 2016;37(1):67-119.

References

1. Rini, BI, Escudier B, Tomczak P, et al. Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial. Lancet. 2011;378(9807):1931-1939.

2. Tolcher AW, Appleman LJ, Shapiro GI, et al. A phase I open-label study evaluating the cardiovascular safety of sorafenib in patients with advanced cancer. Cancer Chemother Pharmacol. 2011;67(4):751-764.

3. Votrient [package insert]. Research Triangle Park, NC: GlaxoSmithKline; 2017.

4. Sutent [package insert]. New York, NY: Pfizer Labs; 2018.

5. Nexavar [package insert]. Wayne, NJ; Bayer HealthCare Pharmaceuticals Inc; 2018.

6. Ghatalia P, Morgan CJ, Je Y, et al. Congestive heart failure with vascular endothelial growth factor receptor tyrosine kinase inhibitors. Crit Rev Oncol Hematol 2015;94:228–237.

7. Hall PS, Harshman LC, Srinivas S, Witteles RM. The frequency and severity of cardiovascular toxicity from targeted therapy in advanced renal cell carcinoma patients. JACC Heart Fail. 2013;1(1):72-78.

8. Rini BI, Cohen DP, Lu DR, et al. Hypertension as a biomarker of efficacy in patients with metastatic renal cell carcinoma treated with sunitinib. J Natl Cancer Inst. 2011;103(9):763-773.

9. Richards CJ, Je Y, Schutz FA, et al. Incidence and risk of congestive heart failure in patients with renal and nonrenal cell carcinoma treated with sunitinib. J Clin Oncol. 2011;29(25):3450-3456.

10. Schmidinger M, Zielinski CC, Vogl UM, et al. Cardiac toxicity of sunitinib and sorafenib in patients with metastatic renal cell carcinoma. J Clin Oncol. 2008;26(32):5204-5212.

11. Albiges L, Oudard S, Negrier S, et al. Complete remission with tyrosine kinase inhibitors in renal cell carcinoma. J Clin Oncol. 2012;30(5):482-487.

12. Jang S, Zheng C, Tsai HT, et al. Cardiovascular toxicity after antiangiogenic therapy in persons older than 65 years with advanced renal cell carcinoma. Cancer. 2016;122(1):124-130

13. James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507-520.

14. Yancy CW, Jessup M, Bozkurt B, et al. ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. JACC. 2017;70(6):776-803.

15. Kernan WN, Ovbiagele B, Black HR, et al; American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, and Council on Peripheral Vascular Disease. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):2160-2236.

16. O’Gara PT, Kushner FG, Ascheim DD, et al; American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. JACC. 2013;61(4):e78-e140.

17. Amsterdam EA, Wenger NK, Brindis RG, et al. 2014 AHA/ACC guideline for the management of patients with non–ST-elevation acute coronary syndromes: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;64(24):e139-e228.

18. Galiè N, Humbert M, Vachiery JL, et al; ESC Scientific Document Group. 2015 ESC/ERS guidelines for the diagnosis and treatment of pulmonary hypertension: the Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Heart J. 2016;37(1):67-119.

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Sharing Cancer Care Information Across VA Health Care Systems (FULL)

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Sharing Cancer Care Information Across VA Health Care Systems

A telementoring program based on the Specialty Care Access Network Extension for Community Healthcare Outcomes model shared information about cancer care across VA health Care systems.

In 2016, the Cancer Care Coordinator at the US Department of Veterans Affairs (VA) Connecticut Healthcare System (VACT) in West Haven partnered with the VA New England Healthcare System to use its telementoring program. The VA Specialty Care Access Network Extension for Community Healthcare Outcomes (VA ECHO) was used to present a series of educational conferences on cancer care. This article describes our experience implementing the program and reviews participant feedback gathered from voluntary surveys.

Background

In 2011, the Veterans Health Administration (VHA) Office of Healthcare Transformation launched VA ECHO, a telementoring program for primary care providers (PCPs) and patient-aligned care team staff. VACT was selected as 1 of 7 hub sites across the US. The VA ECHO system uses video and online technology to provide PCPs with case-based specialist consultation and didactic education. The system enables providers at any VA location to participate in online and telephone conferences in real time. The presentations are recorded and made available online to VA providers through a secure site.

VA ECHO is based on the highly successful Project ECHO model established by Sanjeev Arora and the University of New Mexico in 2007.1 The rationale for Project ECHO was that patient care could be improved by increasing the competence of PCPs in the management of complex diseases by providing access to disease specialists through a case-based learning approach that used technology, which it termed knowledge networks, to connect the PCPs to specialists.

The original model addressed management of hepatitis C in a medically underserved area where half of the population was widely geographically dispersed, making the provision of specialty care challenging. Developers identified 6 characteristics that make a disease appropriate for treatment using the Project ECHO knowledge network model:

  • The disease is common;
  • Management of the disease is complex;
  • Treatment for the disease is evolving;
  • The disease has a high societal impact;
  • There are serious outcomes if the disease is not treated; and
  • Disease management improves outcomes.1

VA ECHO conferences are available to all VA personnel. Staff can subscribe to an e-mail group list to be alerted to conference times and topics. Participants can connect directly to the conference using Microsoft Outlook Lync or Skype (Redmond, WA) and see the slides in real time on their computer as they listen to the presentation. The presentations are recorded, and the slides with audio can be accessed easily on the VA ECHO SharePoint site for download, enabling VA staff to listen to conferences at their convenience (Figure).

VA Cancer ECHO

The impetus to create a series of talks related to cancer care using VA ECHO was the frequent and often time-consuming requests we received from colleagues at other VA sites for information about areas of cancer care, such as survivorship and cancer care coordination. It was felt that presenting cancer care information as a VA ECHO series would make this information available to a large group of providers at one time, making the method more time effective than sharing the information via one-on-one conversations.

 

 

The cancer care coordinator originally conceived this as a 3-part, 1-time series to present work done at VACT in the areas of survivorship, psychosocial distress monitoring, and coordination of cancer care using the VA Cancer Care Tracking System, an online tracking tool. Information about the series was disseminated via VA group e-mail lists for oncology providers and via the existing VA ECHO subscriber invitation process. The 3-presentation series garnered positive feedback and had attendance that ranged from 49 to 75 participants (mean, 60). Participants expressed enthusiasm for the format via e-mail and phone feedback directly to the West Haven staff.

Expansion

The success of this original 3-part series led to a trial of an ongoing Cancer Care Conference series (Conference) using VA ECHO. This was a novel use of VA ECHO and was outside its traditional format, which is geared to discussion of individual cases and clinical knowledge. Nevertheless, this new style of communication has been embraced by a wide range of VA cancer care professionals.

One reason we considered expanding the program was that oncology fit the framework of the original Project ECHO knowledge network model. Cancer is common at the VA, which cares for 175,000 patients with cancer annually.2 The management of cancer is complex involving many disciplines working together, and treatments are constantly changing. In addition, cancer has a high societal impact; there are serious outcomes both in terms of patient survival and patient symptom burden. And lastly, outcomes are improved with proactive disease management that is informed by the most current, evidence-based medicine.

The Conference was conceived as a forum for providers across disciplines to share best practices and discuss common challenges in caring for veterans with cancer. We invited participants to submit proposals for presentations related to cancer care initiatives at their VA sites. Potential speakers across all areas of care for veterans with cancer were invited to submit possible topics for the conference. The submissions were reviewed by the moderators in an effort to create a series of talks on a variety of topics across all aspects of care for oncology patients in the VA. This process of effectively crowd-sourcing educational content inspires providers to think more creatively about their practice and quality improvement projects and has sparked an ongoing dialogue about quality initiatives among VA oncology providers across disciplines and geographic locations. As a result, this approach also has enabled participants to learn from colleagues who work at a wide range of rural and urban VA locations throughout the country and to network with colleagues who are working on similar quality initiatives and challenges related to caring for veterans with cancer.

Program

The first Conference talk was in October 2016. It encompassed ten 1-hour talks during the 2016 to 2017 academic year. Speakers were recruited from the VACT West Haven campus and from several other VA sites nationwide. Topics included survivorship, psychosocial distress, palliative care, cancer navigation, and establishing a clinical trials program.

In its first year, the Conference series had 260 unique attendees representing such disciplines as medicine, nursing, social work, pharmacy, psychology, and clinic administration and representing all 21 Veterans Integrated Services Networks (VISNs). Speakers including oncologists, hepatologists, cancer care coordinators, health psychologists, and a research coordinator gave presentations on psychosocial distress screening and issues, cognitive behavioral therapy for cancer pain, cancer navigation, cancer case tracking, VISN-based liver cancer tumor tracker and liver tumor board, starting a VA-based clinical trial, palliative care, and survivorship.

The Conference accounted for 508 continuing medical education (CME) hours, which accounted for one-third of the total CME hours generated by the VACT West Haven VA ECHO program. Highlights of the talks were presented at the 2017 Association of VA Hematology/Oncology annual meeting in Denver, Colorado.

During the second year of the Conference, speakers were recruited to address new American College of Surgeons Commission on Cancer (CoC) requirements regarding survivorship treatment summaries for a subset of cancer survivors.3 The focus on survivorship was driven by ongoing feedback from participants who were working on initiatives to implement this process at their VA sites and wanted to learn from peers involved in this process throughout the VA system. Several speakers gave talks on implementing survivorship care at their VA and specifically on the use of computerized patient record system templates to create survivorship treatment summaries for veterans in accordance with CoC standards.

Since the first Conference in 2016, the number of unique attendees grew by 20% to 327 in 2018. During its first 2 years, participants have earned a total of 1,095 CME credits through Yale University CME. Conferences are usually broadcast at noon eastern time so that providers can take advantage of sessions during lunch breaks.

 

 

Participant Surveys

Attendees were invited to participate in voluntary, anonymous surveys to obtain feedback on and to receive input on topics of interest for future talks. Participants also were asked to comment on resources that they utilized to be updated on practice changes (Table 1). 

Web-based VA conferences such as VA ECHO were cited by > 50% of the survey participants as a resource. Survey participants were most interested in presentations on case management, coordinating cancer care, and learning how to use technology to improve cancer care, survivorship, palliative care, clinical trials, and oncology pharmacology.

The Conference has led to increased awareness of other continuing education opportunities available through VA ECHO-Connecticut. Of survey participants, 20% reported that they had attended other VA ECHO conferences.

The survey samples are self-selecting and may not necessarily be representative of the Conference participants or of the VA oncology interdisciplinary team as a whole; however, the relatively large number of survey participants provides some confidence that these survey results can help inform future planning for this and other continuing education opportunities for VA oncology providers.

An additional online survey was designed to elucidate whether participants were incorporating knowledge gained from the Conference in their cancer care practice. Half of the 32 participants strongly agreed with the following statement: “Participation in the VA Cancer Care Conference has added to my knowledge of information relevant to my practice,” and 13 more agreed with the statement for a total of 90.6% of those surveyed responding affirmatively. Only 3 participants neither agreed nor disagreed, and none disagreed with the statement. More than half of the participants reported that they made changes to their practice or plan to make changes as a result of the Conference.

Conculsion

The VA ECHO program established at the VACT West Haven campus in 2012 now offers regular monthly or bimonthly conferences in 9 specialties: pain, liver/hepatitis C, neurology, nephrology, cardiology, diabetes/endocrinology, mental health and addiction, nursing grand rounds, and cancer care. The VACT ECHO program is led by a medical director, and each specialty has a clinical director who conducts sessions and recruits other specialists from their department.

Teleconferencing can provide opportunities for colleagues living in distant locations to connect; share best practices, common goals, and challenges; and initiate ongoing and lasting relationships. The Conference draws the most diverse audience by discipline of all the VA ECHO conferences hosted at VACT (Table 2). 

While this is a relatively large conference with participation ranging from 50 to > 80 individuals for each talk, > 40% of survey participants reported that they have established relationships with new colleagues through the Conference. The Conference has broken out of the narrow clinical model traditionally addressed by VA ECHO technology and has expanded it to a variety of new topics and subject areas of interest to a diverse audience of VA personnel.

Traditionally, the national VA ECHO program has been a forum for specialists to discuss clinical case presentations for the benefit of primary care providers and to deliver didactics about chronic clinical conditions. Our Cancer Care Management VA ECHO has explored new ground by discussing material that has helped sites set up and enhance cancer care clinics and disseminate best practices for cancer survivorship and other aspects of cancer care. As a result, this conference has attracted and provided a forum for the most diverse audience of staff among VA ECHO clinics, with participation from clinic administrators to social workers to primary care providers to tumor registrars.

Through the creation of the Conference, > 300 individuals who care for veterans with cancer have been provided with a regular forum at which to connect with colleagues, receive updates on new treatment options for their patients, and learn about and share best practices specific to VA oncology patients. The VA ECHO technology creates a resource that can be accessed by all VA staff from their desktop computer. The VA ECHO SharePoint saves the slides of the Conference presentations both with and without audio to enable staff who can’t participate in real time to access the information at their convenience.

The Conference has facilitated networking among VA oncology providers who have common interests. Conference participants also have participated in other VA ECHO conferences in disciplines beyond oncology. Participants in the Conference also are encouraged to participate as speakers by presenting quality improvement initiatives at their VA site. This novel approach to generating content for this educational series has led to a dynamic interchange of ideas and increased networking among VA providers related to their practice and quality improvement initiatives at their VA sites. The Conference provides a regular forum for VA staff across a wide range of disciplines to share personal experiences, successes, and frustrations and to get feedback from colleagues.

The Conference combines a structured approach to presenting VA-specific educational content related to cancer care and multiple mechanisms that encourage staff to participate in an ongoing dialogue related to quality initiatives both on the phone during the Conference, online using Outlook LYNC or Skype to ask questions during the Conference, and during conversations on group e-mail. The Conference promotes staff engagement at little or no extra cost to the VA. For more information about the VA ECHO Cancer Care Conference or to submit a presentation for consideration for a future session, please contact [email protected] or [email protected].

References

1. Arora S, Geppert CM, Kalishman S, et al. Academic health center management of chronic diseases through knowledge networks: Project ECHO. Acad Med. 2007;82(2):154-160.

2. Hematology and oncology federal health care data trends. Fed Pract. 2017;33(suppl 5):S12-S15.

3. American College of Surgeons Commission on Cancer. Cancer Program Standards: Ensuring Patient Centered Care, 2016 Edition. https://www.facs.org/quality-programs/cancer/coc/standards. Accessed March 14, 2018.

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Correspondence: Julie Beck ([email protected])

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A telementoring program based on the Specialty Care Access Network Extension for Community Healthcare Outcomes model shared information about cancer care across VA health Care systems.

A telementoring program based on the Specialty Care Access Network Extension for Community Healthcare Outcomes model shared information about cancer care across VA health Care systems.

In 2016, the Cancer Care Coordinator at the US Department of Veterans Affairs (VA) Connecticut Healthcare System (VACT) in West Haven partnered with the VA New England Healthcare System to use its telementoring program. The VA Specialty Care Access Network Extension for Community Healthcare Outcomes (VA ECHO) was used to present a series of educational conferences on cancer care. This article describes our experience implementing the program and reviews participant feedback gathered from voluntary surveys.

Background

In 2011, the Veterans Health Administration (VHA) Office of Healthcare Transformation launched VA ECHO, a telementoring program for primary care providers (PCPs) and patient-aligned care team staff. VACT was selected as 1 of 7 hub sites across the US. The VA ECHO system uses video and online technology to provide PCPs with case-based specialist consultation and didactic education. The system enables providers at any VA location to participate in online and telephone conferences in real time. The presentations are recorded and made available online to VA providers through a secure site.

VA ECHO is based on the highly successful Project ECHO model established by Sanjeev Arora and the University of New Mexico in 2007.1 The rationale for Project ECHO was that patient care could be improved by increasing the competence of PCPs in the management of complex diseases by providing access to disease specialists through a case-based learning approach that used technology, which it termed knowledge networks, to connect the PCPs to specialists.

The original model addressed management of hepatitis C in a medically underserved area where half of the population was widely geographically dispersed, making the provision of specialty care challenging. Developers identified 6 characteristics that make a disease appropriate for treatment using the Project ECHO knowledge network model:

  • The disease is common;
  • Management of the disease is complex;
  • Treatment for the disease is evolving;
  • The disease has a high societal impact;
  • There are serious outcomes if the disease is not treated; and
  • Disease management improves outcomes.1

VA ECHO conferences are available to all VA personnel. Staff can subscribe to an e-mail group list to be alerted to conference times and topics. Participants can connect directly to the conference using Microsoft Outlook Lync or Skype (Redmond, WA) and see the slides in real time on their computer as they listen to the presentation. The presentations are recorded, and the slides with audio can be accessed easily on the VA ECHO SharePoint site for download, enabling VA staff to listen to conferences at their convenience (Figure).

VA Cancer ECHO

The impetus to create a series of talks related to cancer care using VA ECHO was the frequent and often time-consuming requests we received from colleagues at other VA sites for information about areas of cancer care, such as survivorship and cancer care coordination. It was felt that presenting cancer care information as a VA ECHO series would make this information available to a large group of providers at one time, making the method more time effective than sharing the information via one-on-one conversations.

 

 

The cancer care coordinator originally conceived this as a 3-part, 1-time series to present work done at VACT in the areas of survivorship, psychosocial distress monitoring, and coordination of cancer care using the VA Cancer Care Tracking System, an online tracking tool. Information about the series was disseminated via VA group e-mail lists for oncology providers and via the existing VA ECHO subscriber invitation process. The 3-presentation series garnered positive feedback and had attendance that ranged from 49 to 75 participants (mean, 60). Participants expressed enthusiasm for the format via e-mail and phone feedback directly to the West Haven staff.

Expansion

The success of this original 3-part series led to a trial of an ongoing Cancer Care Conference series (Conference) using VA ECHO. This was a novel use of VA ECHO and was outside its traditional format, which is geared to discussion of individual cases and clinical knowledge. Nevertheless, this new style of communication has been embraced by a wide range of VA cancer care professionals.

One reason we considered expanding the program was that oncology fit the framework of the original Project ECHO knowledge network model. Cancer is common at the VA, which cares for 175,000 patients with cancer annually.2 The management of cancer is complex involving many disciplines working together, and treatments are constantly changing. In addition, cancer has a high societal impact; there are serious outcomes both in terms of patient survival and patient symptom burden. And lastly, outcomes are improved with proactive disease management that is informed by the most current, evidence-based medicine.

The Conference was conceived as a forum for providers across disciplines to share best practices and discuss common challenges in caring for veterans with cancer. We invited participants to submit proposals for presentations related to cancer care initiatives at their VA sites. Potential speakers across all areas of care for veterans with cancer were invited to submit possible topics for the conference. The submissions were reviewed by the moderators in an effort to create a series of talks on a variety of topics across all aspects of care for oncology patients in the VA. This process of effectively crowd-sourcing educational content inspires providers to think more creatively about their practice and quality improvement projects and has sparked an ongoing dialogue about quality initiatives among VA oncology providers across disciplines and geographic locations. As a result, this approach also has enabled participants to learn from colleagues who work at a wide range of rural and urban VA locations throughout the country and to network with colleagues who are working on similar quality initiatives and challenges related to caring for veterans with cancer.

Program

The first Conference talk was in October 2016. It encompassed ten 1-hour talks during the 2016 to 2017 academic year. Speakers were recruited from the VACT West Haven campus and from several other VA sites nationwide. Topics included survivorship, psychosocial distress, palliative care, cancer navigation, and establishing a clinical trials program.

In its first year, the Conference series had 260 unique attendees representing such disciplines as medicine, nursing, social work, pharmacy, psychology, and clinic administration and representing all 21 Veterans Integrated Services Networks (VISNs). Speakers including oncologists, hepatologists, cancer care coordinators, health psychologists, and a research coordinator gave presentations on psychosocial distress screening and issues, cognitive behavioral therapy for cancer pain, cancer navigation, cancer case tracking, VISN-based liver cancer tumor tracker and liver tumor board, starting a VA-based clinical trial, palliative care, and survivorship.

The Conference accounted for 508 continuing medical education (CME) hours, which accounted for one-third of the total CME hours generated by the VACT West Haven VA ECHO program. Highlights of the talks were presented at the 2017 Association of VA Hematology/Oncology annual meeting in Denver, Colorado.

During the second year of the Conference, speakers were recruited to address new American College of Surgeons Commission on Cancer (CoC) requirements regarding survivorship treatment summaries for a subset of cancer survivors.3 The focus on survivorship was driven by ongoing feedback from participants who were working on initiatives to implement this process at their VA sites and wanted to learn from peers involved in this process throughout the VA system. Several speakers gave talks on implementing survivorship care at their VA and specifically on the use of computerized patient record system templates to create survivorship treatment summaries for veterans in accordance with CoC standards.

Since the first Conference in 2016, the number of unique attendees grew by 20% to 327 in 2018. During its first 2 years, participants have earned a total of 1,095 CME credits through Yale University CME. Conferences are usually broadcast at noon eastern time so that providers can take advantage of sessions during lunch breaks.

 

 

Participant Surveys

Attendees were invited to participate in voluntary, anonymous surveys to obtain feedback on and to receive input on topics of interest for future talks. Participants also were asked to comment on resources that they utilized to be updated on practice changes (Table 1). 

Web-based VA conferences such as VA ECHO were cited by > 50% of the survey participants as a resource. Survey participants were most interested in presentations on case management, coordinating cancer care, and learning how to use technology to improve cancer care, survivorship, palliative care, clinical trials, and oncology pharmacology.

The Conference has led to increased awareness of other continuing education opportunities available through VA ECHO-Connecticut. Of survey participants, 20% reported that they had attended other VA ECHO conferences.

The survey samples are self-selecting and may not necessarily be representative of the Conference participants or of the VA oncology interdisciplinary team as a whole; however, the relatively large number of survey participants provides some confidence that these survey results can help inform future planning for this and other continuing education opportunities for VA oncology providers.

An additional online survey was designed to elucidate whether participants were incorporating knowledge gained from the Conference in their cancer care practice. Half of the 32 participants strongly agreed with the following statement: “Participation in the VA Cancer Care Conference has added to my knowledge of information relevant to my practice,” and 13 more agreed with the statement for a total of 90.6% of those surveyed responding affirmatively. Only 3 participants neither agreed nor disagreed, and none disagreed with the statement. More than half of the participants reported that they made changes to their practice or plan to make changes as a result of the Conference.

Conculsion

The VA ECHO program established at the VACT West Haven campus in 2012 now offers regular monthly or bimonthly conferences in 9 specialties: pain, liver/hepatitis C, neurology, nephrology, cardiology, diabetes/endocrinology, mental health and addiction, nursing grand rounds, and cancer care. The VACT ECHO program is led by a medical director, and each specialty has a clinical director who conducts sessions and recruits other specialists from their department.

Teleconferencing can provide opportunities for colleagues living in distant locations to connect; share best practices, common goals, and challenges; and initiate ongoing and lasting relationships. The Conference draws the most diverse audience by discipline of all the VA ECHO conferences hosted at VACT (Table 2). 

While this is a relatively large conference with participation ranging from 50 to > 80 individuals for each talk, > 40% of survey participants reported that they have established relationships with new colleagues through the Conference. The Conference has broken out of the narrow clinical model traditionally addressed by VA ECHO technology and has expanded it to a variety of new topics and subject areas of interest to a diverse audience of VA personnel.

Traditionally, the national VA ECHO program has been a forum for specialists to discuss clinical case presentations for the benefit of primary care providers and to deliver didactics about chronic clinical conditions. Our Cancer Care Management VA ECHO has explored new ground by discussing material that has helped sites set up and enhance cancer care clinics and disseminate best practices for cancer survivorship and other aspects of cancer care. As a result, this conference has attracted and provided a forum for the most diverse audience of staff among VA ECHO clinics, with participation from clinic administrators to social workers to primary care providers to tumor registrars.

Through the creation of the Conference, > 300 individuals who care for veterans with cancer have been provided with a regular forum at which to connect with colleagues, receive updates on new treatment options for their patients, and learn about and share best practices specific to VA oncology patients. The VA ECHO technology creates a resource that can be accessed by all VA staff from their desktop computer. The VA ECHO SharePoint saves the slides of the Conference presentations both with and without audio to enable staff who can’t participate in real time to access the information at their convenience.

The Conference has facilitated networking among VA oncology providers who have common interests. Conference participants also have participated in other VA ECHO conferences in disciplines beyond oncology. Participants in the Conference also are encouraged to participate as speakers by presenting quality improvement initiatives at their VA site. This novel approach to generating content for this educational series has led to a dynamic interchange of ideas and increased networking among VA providers related to their practice and quality improvement initiatives at their VA sites. The Conference provides a regular forum for VA staff across a wide range of disciplines to share personal experiences, successes, and frustrations and to get feedback from colleagues.

The Conference combines a structured approach to presenting VA-specific educational content related to cancer care and multiple mechanisms that encourage staff to participate in an ongoing dialogue related to quality initiatives both on the phone during the Conference, online using Outlook LYNC or Skype to ask questions during the Conference, and during conversations on group e-mail. The Conference promotes staff engagement at little or no extra cost to the VA. For more information about the VA ECHO Cancer Care Conference or to submit a presentation for consideration for a future session, please contact [email protected] or [email protected].

In 2016, the Cancer Care Coordinator at the US Department of Veterans Affairs (VA) Connecticut Healthcare System (VACT) in West Haven partnered with the VA New England Healthcare System to use its telementoring program. The VA Specialty Care Access Network Extension for Community Healthcare Outcomes (VA ECHO) was used to present a series of educational conferences on cancer care. This article describes our experience implementing the program and reviews participant feedback gathered from voluntary surveys.

Background

In 2011, the Veterans Health Administration (VHA) Office of Healthcare Transformation launched VA ECHO, a telementoring program for primary care providers (PCPs) and patient-aligned care team staff. VACT was selected as 1 of 7 hub sites across the US. The VA ECHO system uses video and online technology to provide PCPs with case-based specialist consultation and didactic education. The system enables providers at any VA location to participate in online and telephone conferences in real time. The presentations are recorded and made available online to VA providers through a secure site.

VA ECHO is based on the highly successful Project ECHO model established by Sanjeev Arora and the University of New Mexico in 2007.1 The rationale for Project ECHO was that patient care could be improved by increasing the competence of PCPs in the management of complex diseases by providing access to disease specialists through a case-based learning approach that used technology, which it termed knowledge networks, to connect the PCPs to specialists.

The original model addressed management of hepatitis C in a medically underserved area where half of the population was widely geographically dispersed, making the provision of specialty care challenging. Developers identified 6 characteristics that make a disease appropriate for treatment using the Project ECHO knowledge network model:

  • The disease is common;
  • Management of the disease is complex;
  • Treatment for the disease is evolving;
  • The disease has a high societal impact;
  • There are serious outcomes if the disease is not treated; and
  • Disease management improves outcomes.1

VA ECHO conferences are available to all VA personnel. Staff can subscribe to an e-mail group list to be alerted to conference times and topics. Participants can connect directly to the conference using Microsoft Outlook Lync or Skype (Redmond, WA) and see the slides in real time on their computer as they listen to the presentation. The presentations are recorded, and the slides with audio can be accessed easily on the VA ECHO SharePoint site for download, enabling VA staff to listen to conferences at their convenience (Figure).

VA Cancer ECHO

The impetus to create a series of talks related to cancer care using VA ECHO was the frequent and often time-consuming requests we received from colleagues at other VA sites for information about areas of cancer care, such as survivorship and cancer care coordination. It was felt that presenting cancer care information as a VA ECHO series would make this information available to a large group of providers at one time, making the method more time effective than sharing the information via one-on-one conversations.

 

 

The cancer care coordinator originally conceived this as a 3-part, 1-time series to present work done at VACT in the areas of survivorship, psychosocial distress monitoring, and coordination of cancer care using the VA Cancer Care Tracking System, an online tracking tool. Information about the series was disseminated via VA group e-mail lists for oncology providers and via the existing VA ECHO subscriber invitation process. The 3-presentation series garnered positive feedback and had attendance that ranged from 49 to 75 participants (mean, 60). Participants expressed enthusiasm for the format via e-mail and phone feedback directly to the West Haven staff.

Expansion

The success of this original 3-part series led to a trial of an ongoing Cancer Care Conference series (Conference) using VA ECHO. This was a novel use of VA ECHO and was outside its traditional format, which is geared to discussion of individual cases and clinical knowledge. Nevertheless, this new style of communication has been embraced by a wide range of VA cancer care professionals.

One reason we considered expanding the program was that oncology fit the framework of the original Project ECHO knowledge network model. Cancer is common at the VA, which cares for 175,000 patients with cancer annually.2 The management of cancer is complex involving many disciplines working together, and treatments are constantly changing. In addition, cancer has a high societal impact; there are serious outcomes both in terms of patient survival and patient symptom burden. And lastly, outcomes are improved with proactive disease management that is informed by the most current, evidence-based medicine.

The Conference was conceived as a forum for providers across disciplines to share best practices and discuss common challenges in caring for veterans with cancer. We invited participants to submit proposals for presentations related to cancer care initiatives at their VA sites. Potential speakers across all areas of care for veterans with cancer were invited to submit possible topics for the conference. The submissions were reviewed by the moderators in an effort to create a series of talks on a variety of topics across all aspects of care for oncology patients in the VA. This process of effectively crowd-sourcing educational content inspires providers to think more creatively about their practice and quality improvement projects and has sparked an ongoing dialogue about quality initiatives among VA oncology providers across disciplines and geographic locations. As a result, this approach also has enabled participants to learn from colleagues who work at a wide range of rural and urban VA locations throughout the country and to network with colleagues who are working on similar quality initiatives and challenges related to caring for veterans with cancer.

Program

The first Conference talk was in October 2016. It encompassed ten 1-hour talks during the 2016 to 2017 academic year. Speakers were recruited from the VACT West Haven campus and from several other VA sites nationwide. Topics included survivorship, psychosocial distress, palliative care, cancer navigation, and establishing a clinical trials program.

In its first year, the Conference series had 260 unique attendees representing such disciplines as medicine, nursing, social work, pharmacy, psychology, and clinic administration and representing all 21 Veterans Integrated Services Networks (VISNs). Speakers including oncologists, hepatologists, cancer care coordinators, health psychologists, and a research coordinator gave presentations on psychosocial distress screening and issues, cognitive behavioral therapy for cancer pain, cancer navigation, cancer case tracking, VISN-based liver cancer tumor tracker and liver tumor board, starting a VA-based clinical trial, palliative care, and survivorship.

The Conference accounted for 508 continuing medical education (CME) hours, which accounted for one-third of the total CME hours generated by the VACT West Haven VA ECHO program. Highlights of the talks were presented at the 2017 Association of VA Hematology/Oncology annual meeting in Denver, Colorado.

During the second year of the Conference, speakers were recruited to address new American College of Surgeons Commission on Cancer (CoC) requirements regarding survivorship treatment summaries for a subset of cancer survivors.3 The focus on survivorship was driven by ongoing feedback from participants who were working on initiatives to implement this process at their VA sites and wanted to learn from peers involved in this process throughout the VA system. Several speakers gave talks on implementing survivorship care at their VA and specifically on the use of computerized patient record system templates to create survivorship treatment summaries for veterans in accordance with CoC standards.

Since the first Conference in 2016, the number of unique attendees grew by 20% to 327 in 2018. During its first 2 years, participants have earned a total of 1,095 CME credits through Yale University CME. Conferences are usually broadcast at noon eastern time so that providers can take advantage of sessions during lunch breaks.

 

 

Participant Surveys

Attendees were invited to participate in voluntary, anonymous surveys to obtain feedback on and to receive input on topics of interest for future talks. Participants also were asked to comment on resources that they utilized to be updated on practice changes (Table 1). 

Web-based VA conferences such as VA ECHO were cited by > 50% of the survey participants as a resource. Survey participants were most interested in presentations on case management, coordinating cancer care, and learning how to use technology to improve cancer care, survivorship, palliative care, clinical trials, and oncology pharmacology.

The Conference has led to increased awareness of other continuing education opportunities available through VA ECHO-Connecticut. Of survey participants, 20% reported that they had attended other VA ECHO conferences.

The survey samples are self-selecting and may not necessarily be representative of the Conference participants or of the VA oncology interdisciplinary team as a whole; however, the relatively large number of survey participants provides some confidence that these survey results can help inform future planning for this and other continuing education opportunities for VA oncology providers.

An additional online survey was designed to elucidate whether participants were incorporating knowledge gained from the Conference in their cancer care practice. Half of the 32 participants strongly agreed with the following statement: “Participation in the VA Cancer Care Conference has added to my knowledge of information relevant to my practice,” and 13 more agreed with the statement for a total of 90.6% of those surveyed responding affirmatively. Only 3 participants neither agreed nor disagreed, and none disagreed with the statement. More than half of the participants reported that they made changes to their practice or plan to make changes as a result of the Conference.

Conculsion

The VA ECHO program established at the VACT West Haven campus in 2012 now offers regular monthly or bimonthly conferences in 9 specialties: pain, liver/hepatitis C, neurology, nephrology, cardiology, diabetes/endocrinology, mental health and addiction, nursing grand rounds, and cancer care. The VACT ECHO program is led by a medical director, and each specialty has a clinical director who conducts sessions and recruits other specialists from their department.

Teleconferencing can provide opportunities for colleagues living in distant locations to connect; share best practices, common goals, and challenges; and initiate ongoing and lasting relationships. The Conference draws the most diverse audience by discipline of all the VA ECHO conferences hosted at VACT (Table 2). 

While this is a relatively large conference with participation ranging from 50 to > 80 individuals for each talk, > 40% of survey participants reported that they have established relationships with new colleagues through the Conference. The Conference has broken out of the narrow clinical model traditionally addressed by VA ECHO technology and has expanded it to a variety of new topics and subject areas of interest to a diverse audience of VA personnel.

Traditionally, the national VA ECHO program has been a forum for specialists to discuss clinical case presentations for the benefit of primary care providers and to deliver didactics about chronic clinical conditions. Our Cancer Care Management VA ECHO has explored new ground by discussing material that has helped sites set up and enhance cancer care clinics and disseminate best practices for cancer survivorship and other aspects of cancer care. As a result, this conference has attracted and provided a forum for the most diverse audience of staff among VA ECHO clinics, with participation from clinic administrators to social workers to primary care providers to tumor registrars.

Through the creation of the Conference, > 300 individuals who care for veterans with cancer have been provided with a regular forum at which to connect with colleagues, receive updates on new treatment options for their patients, and learn about and share best practices specific to VA oncology patients. The VA ECHO technology creates a resource that can be accessed by all VA staff from their desktop computer. The VA ECHO SharePoint saves the slides of the Conference presentations both with and without audio to enable staff who can’t participate in real time to access the information at their convenience.

The Conference has facilitated networking among VA oncology providers who have common interests. Conference participants also have participated in other VA ECHO conferences in disciplines beyond oncology. Participants in the Conference also are encouraged to participate as speakers by presenting quality improvement initiatives at their VA site. This novel approach to generating content for this educational series has led to a dynamic interchange of ideas and increased networking among VA providers related to their practice and quality improvement initiatives at their VA sites. The Conference provides a regular forum for VA staff across a wide range of disciplines to share personal experiences, successes, and frustrations and to get feedback from colleagues.

The Conference combines a structured approach to presenting VA-specific educational content related to cancer care and multiple mechanisms that encourage staff to participate in an ongoing dialogue related to quality initiatives both on the phone during the Conference, online using Outlook LYNC or Skype to ask questions during the Conference, and during conversations on group e-mail. The Conference promotes staff engagement at little or no extra cost to the VA. For more information about the VA ECHO Cancer Care Conference or to submit a presentation for consideration for a future session, please contact [email protected] or [email protected].

References

1. Arora S, Geppert CM, Kalishman S, et al. Academic health center management of chronic diseases through knowledge networks: Project ECHO. Acad Med. 2007;82(2):154-160.

2. Hematology and oncology federal health care data trends. Fed Pract. 2017;33(suppl 5):S12-S15.

3. American College of Surgeons Commission on Cancer. Cancer Program Standards: Ensuring Patient Centered Care, 2016 Edition. https://www.facs.org/quality-programs/cancer/coc/standards. Accessed March 14, 2018.

References

1. Arora S, Geppert CM, Kalishman S, et al. Academic health center management of chronic diseases through knowledge networks: Project ECHO. Acad Med. 2007;82(2):154-160.

2. Hematology and oncology federal health care data trends. Fed Pract. 2017;33(suppl 5):S12-S15.

3. American College of Surgeons Commission on Cancer. Cancer Program Standards: Ensuring Patient Centered Care, 2016 Edition. https://www.facs.org/quality-programs/cancer/coc/standards. Accessed March 14, 2018.

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Liver Imaging Reporting and Data System in Patients at High Risk for Hepatocellular Carcinoma in the Memphis Veterans Affairs Population (FULL)

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Liver Imaging Reporting and Data System in Patients at High Risk for Hepatocellular Carcinoma in the Memphis Veterans Affairs Population

Although hepatocellular carcinoma can be difficult to detect, use of the LI-RADS algorithm could lead to earlier identification in at-risk patients.

Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer worldwide.1 Liver cancer is the fifth most common cancer in men and the seventh in women.2 The highest incidence rates are in sub-Saharan Africa and Southeast Asia where hepatitis B virus is endemic. The incidence of HCC in western countries is increasing, particularly due to the rise of hepatitis C virus (HCV) as well as alcoholic liver disease and nonalcoholic fatty liver disease. The incidence of HCC has tripled in the US in the past 2 decades.1-3

HCC can be diagnosed by radiographic images without the need for biopsy if the typical imaging features are present.3 The European Association for the Study of Liver Disease (EASL) and the American Association for the Study of Liver Diseases (AASLD) recommend screening abdominal ultrasonography at 6-month intervals for high-risk patients.3,4 High-risk patients include patients with cirrhosis, especially those with hepatitis B or C.3

If screening ultrasonography detects a nodule, size determines whether a follow-up ultrasound is needed vs obtaining a contrast-enhanced dynamic computed tomography (CT) scan or a magnetic resonance image (MRI).3 If ultrasonography detects a nodule > 1 cm in diameter, then a dynamic CT or MRI is performed. Characteristic hyperenhancement during later arterial phase and washout during the venous or delayed phase is associated with a nearly 100% specificity for HCC diagnosis.5 Arterial-enhancing contrast is required when using CT and MRI because HCC is a hypervascular lesion.6 The portal venous blood dilutes the majority of the liver’s arterial blood; therefore, the liver does not enhance during the arterial phase, while HCC will show maximum enhancement.7 Furthermore, HCC should demonstrate a “washout” of contrast during the venous phase on CT and MRI.4 Standard imaging protocol dictates that 4 phases are needed to properly diagnose HCC including unenhanced, arterial, venous, and delayed.4

Regular surveillance increases the likelihood of detecting HCC before the presentation of clinical symptoms and facilitates receipt of curative therapy.8-10 Patients with viral hepatitis and cirrhosis with HCC found on screening are more likely to have earlier-stage disease and survive longer from the time of diagnosis.11 Furthermore, it has been observed that HCC detected by surveillance is significantly more likely to undergo curative therapy compared with incidental or symptomatic detection of HCC.9

Technical improvements in imaging techniques include advancement in contrast agents, multidetector row helical CT, and the flexibility/range of pulse sequences available in MRI.7 Even with technical improvements in all modalities used in HCC imaging, detecting HCC remains difficult, especially when detecting the small (< 2 cm) lesions in a cirrhotic liver.7 Interpretation of imaging also remains a challenge as HCC does not always fit strict criteria: lack of “washout” in a hypervascular lesion, determining small HCC lesions from benign nodules, and hypovascular/isovascular HCC.5 Radiologic differentials in the diagnosis of HCC include transient hepatic intensity difference (THID)/transient hepatic attenuation difference (THAD), arterio-portal shunt, and regenerative nodules.12 In the common clinical setting, patients undergo multiple imaging studies that are interpreted by multiple radiologists, which can add to the difficulty in the diagnosis of HCC.13

The radiology community recognized the inconsistencies and complexities of HCC imaging. Therefore, the American College of Radiology endorsed the Liver Imaging Reporting and Data System (LI-RADS), which had the goal of reducing variability in lesion interpretation through standardization and improving communication with clinicians.14 LI-RADS uses a diagnostic algorithm for CT and MRI that categorizes observed liver findings in high-risk individuals based on the probability or relative risk of HCC without assigning a formal diagnosis.14 LI-RADS takes into account arterial phase enhancement, tumor size, washout appearance, the presence and nature of a capsule, and threshold growth.15 LI-RADS categorizes an observed liver finding on a scale of 1 to 5, with 1 corresponding to a definitely benign finding and 5 with definitive HCC.14 Furthermore, LI-RADS sought to limit the technical variabilities among institutions.

LI-RADS was launched in 2011 and has been utilized by many clinical practices while continuing to be expanded and updated.16 Recent studies examined the specificity of LI-RADS as well as interreader variability.17,18 For nodules viewed on MRI, both LI-RADS categories 4 and 5 had high specificity for HCC.17 When looking at interreader repeatability, LI-RADS showed moderate agreement among experts using the diagnostic algorithm.19 Further studies have compared LI-RADS with the AASLD guidelines and the Organ Procurement and Transplantation Network (OPTN) guidelines.16 When compared with other guidelines, LI-RADS expands the definition of indeterminate findings into probably benign, intermediate probability of HCC, and probably HCC, which corresponds to LI-RADS categories 2, 3, and 4.16

We looked retrospectively at a group of patients previously diagnosed with HCC to see whether utilizing the LI-RADS scoring system within our screening system might have allowed an earlier prediction of HCC and a timelier intervention. Prior to this investigation the LI-RADS system was not used for HCC screening at our US Department of Veterans Affairs (VA) facility. We examined screened patients at the Memphis VA Medical Center (MVAMC) in Tennessee who were subsequently diagnosed with HCC to see which LI-RADS category the last surveillance CT prior to diagnosis would fall into, 6 months to a year prior to the diagnosis of HCC. Our control population was a group of patients screened with CT for their liver nodules who were found not to have HCC.

 

 

Methods

Patients at MVAMC with cirrhosis and patients with chronic hepatitis B are routinely screened with ultrasound, CT, or MRI in accordance with the AASLD, EASL, and VA guidelines. Of 303 patients with HCV and cirrhosis under care in 2015, 242 (81%) received imaging to screen for HCC according to the VA National Hepatitis C Registry 2015 (Personal Communication, Population Health Service, Office of Patient Care Services).The LI-RADS scoring system was not applied as a standard screening methodology.

Under an institutional review board-approved protocol, we reviewed the charts of all patients diagnosed with HCC at MVAMC from 2009 to 2014, utilizing ICD-9 code of 155.0 for HCC. We identified within these charts patients who had a surveillance CT image performed within a 6- to 13-month period prior to the CTs that diagnosed HCC (prediagnostic HCC CT). Furthermore, we reviewed the charts of all patients diagnosed with benign liver nodules at MVAMC from 2009 to 2014, utilizing the ICD-9 code of 573.8 for other specified disorders of the liver.

Within these charts, we found patients who had a surveillance CT image performed and who were followed after that image with additional imaging for ≥ 2 years or who had a liver biopsy negative for HCC (benign surveillance CT). We compared these 2 sets of CTs utilizing LI-RADS criteria. Once these patients were identified, a list of the CTs to be examined were given to 2 MVAMC radiologists who specialize in CT.

No identifying information of the patients was included, and a 13-digit number unique to each CT exam identified the CTs to be reviewed. Radiologist 1 and 2 examined the CTs on the MVAMC Picture Archiving and Communication System (PACS). Both radiologists were asked to give each nodule a score according to LI-RADS v2014 diagnostic algorithm (Figure).

We hypothesized that the prediagnostic CT images of patients eventually determined to have HCC would have a LI-RADS score of 4 (LR4) or LR5. Furthermore, we hypothesized that the CT images of the benign liver nodule patients would have a score ≤ LR3. If there was a disagreement between the radiologists in terms of a malignant score (LR4 or LR5) vs a benign score (≤ LR3), then a third radiologist (radiologist 3) provided a score for these nodules. The third, tiebreaker radiologist was given the scores of both prior radiologists and asked to choose which score was correct.

Statistical analysis was then applied to the data to determine the sensitivity, specificity, and diagnostic accuracy in diagnosing eventual HCC, as well as the false-negative and false-positive rates of radiologists 1 and 2. Raw data also were used to determine the agreement between raters by calculating the κ statistic with a 95% CI.

Results

A total of 70 nodules were examined by radiologists 1 and 2 with 42 of the nodules in the prediagnostic HCC CTs and 28 of the nodules in the benign surveillance CTs. 

Radiologists 1 and 2 found 27 and 29 patients, respectively, that had HCC that might have been predicted in an earlier scan if LI-RADS had been utilized, while5 patients for radiologist 1 and 7 patients for radiologist 2 were determined to have benign disease that would have been incorrectly identified as likely HCC with LR4 or LR5 (Table 1).

 

 

Radiologist 1 identified 11 patients with LR4 and 21 patients with LR5. His scores showed a sensitivity of 64.3% and specificity of 82.1% with accuracy of 71.4% for LI-RADS in identifying eventual HCC. The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 1 was 35.7% and the false-positive rate was 17.9%. Radiologist 2 identified 17 patients LR4 and 19 patients with LR5. Radiologist 2’s scores showed a sensitivity of 69.0% and specificity of 75.0% with accuracy of 71.4% for LI-RADS in identifying eventual HCC.The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 2 was 31.0% and false-positive rate of 25.0%. The κ statistic was calculated to determine the interrater agreement. The radiologists agreed on 58 of 70 samples; 15 without HCC and 43 with HCC. The κ statistic was 0.592, which indicates moderate agreement (Table 2). 

Radiologist 3 scored the 12 samples that showed discrepancies. Radiologist 3 increased the false-negative rate as he incorrectly identified 5 malignancies as benign with a score ≤ LR3.   

Discussion

If HCC is diagnosed late in the disease process based on symptomatology and not on surveillance imaging, the likelihood of receiving early and potential curative therapy greatly declines as was shown in a systemic literature review.9 Surveillance imaging and lesion interpretation by various radiologists has been difficult to standardize as new technologic advances continue to occur in the imaging of HCC.14 LI-RADS was initiated to help standardize CT and MRI interpretation and reporting of hepatic nodules. As a dynamic algorithm, it continues to adjust with new advances in imaging techniques with the most recent updates being made to the algorithm in 2014.14,19 LI-RADS applies to patients at high risk for HCC most often who are already enrolled in a surveillance program.19 The MVAMC has a high incidence of patients with cirrhosis who are at risk for HCC, which is why we chose it as our study population.

LI-RADS can be applied to both MRI and CT imaging. Much of the recent literature have looked at LI-RADS in terms of MRI. A group in China looked at 100 pathologically confirmed patients and assigned a LI-RADS score to the MRI at the time of diagnosis and showed that MRI LI-RADS scoring was highly sensitive and specific in the diagnosis of HCC.20 This study did note a numeric difference in the specificity of LI-RADS algorithm depending on how LR3 scores were viewed. If a LR3 score was considered negative rather than positive for HCC, then the specificity increased by almost 20%.20

Another study looked at patients with liver nodules ≤ 20 mm found on ultrasound and obtained MRIs and biopsies on these patients, assigning the MRI a LI-RADs score.17 Darnell and colleagues found that MRI LR4 and LR5 have a high specificity for HCC. However, 29 of the 42 LR3 lesions examined were found to be HCC.17 Furthermore, Choi and colleagues retrospectively looked at patients in a HCC surveillance program who had undergone MRI as part of the program and assigned LI-RADS scores to these MRIs.21 Their study showed that LR5 criteria on gadoxetate disodium-enhanced MRI has excellent positive predictive value (PPV) for diagnosing HCC, and LR4 showed good PPV.21

In our study, we chose to look at LI-RADS in terms of surveillance CT scans 6 to 13 months prior to the diagnosis of HCC to see whether this method would allow us to intervene earlier with more aggressive diagnostics or therapy in those suspected of having HCC. Although Choi and colleagues looked retrospectively at MRI surveillance imaging, most of the prior studies have looked at LI-RADS scoring in imaging at the time of diagnosis.17,20,21 By looking at surveillance CT scans, we sought to determine LI-RADS sensitivity, specificity, and diagnostic accuracy as a screening tool compared with CT evaluations without LI-RADS scoring.

We also chose to look at CT scans since most of the prior studies have looked at the more detailed and often more expensive MRIs. For both radiologists 1 and 2, the sensitivity was > 60% and specificity was > 70% with a diagnostic accuracy of 71.4% in predicting a diagnosis of HCC in future scans. Although there was high false negative of > 30% for both radiologists, we did consider LR3 as negative for HCC. As Darnell and colleagues’ study of MRI LI-RADS shows, LR3 may need to be revised in the future as its ambiguity can lead to false-negatives.17 Our results also showed moderate interreader agreement, which has been seen in previous studies with LI-RADS.18

Some studies have compared MRI with CT imaging in terms of LI-RADs classification of hepatic nodules to find out whether concordance was seen.22,23 Both studies found that there was substantial discordance between MRI and CT with CT often underscoring hepatic nodules.22,23 In Zhang and colleagues, interclass agreement between CT and MRI varied the most in terms of arterial enhancement with CT producing false-negative findings.22 CT also underestimated LI-RADS score by 16.9% for LR3, 37.3% for LR4, and 8.5% for LR5 in this study.22 Furthermore, Corwin and colleagues found a significant upgrade in terms of LI-RADS categorization with MRI for 42.5% of observations.23 In this study, upgraded LI-RADS scores on MRI included 2 upgraded to LR5V (Figure), 15 upgraded to LR5, and 12 upgraded to LR4.23 

The underscoring on CT often happened due to nonvisualization.23 In both studies, imaging that was performed on patients at risk for HCC was retrospectively reviewed by multiple radiologists, and the CTs and MRIs occurred within 1 month.22,23

Our study shows that the LI-RADS algorithm has a good sensitivity, specificity, and diagnostic accuracy as a screening tool, predicting HCC in scans earlier than standard CT evaluation. In our study, the patients with HCC were shown to have higher LI-RADS scores on prediagnostic imaging, while the benign liver nodule patients were shown to have lower LI-RADS scores. This data would suggest that a LI-RADS score given to surveillance CT of LR4 or higher should recommend either a biopsy or follow-up imaging after a short interval. If LI-RADS is applied to surveillance CTs in patients at risk for HCC, a diagnosis of HCC may be arrived at earlier as compared with not using the LI-RADS algorithm. Earlier detection may lead to earlier intervention and improved treatment outcomes.

 

 

Limitations

Limitations to our study occurred because radiologist 3 did not review all of the images nor score them. Radiologist 3 was limited to 12 images where there was disagreement and was limited to 2 scores to choose from for each image. Further limitations include that this study was performed at a single center. Our study focused on one imaging modality and did not include ultrasounds or MRIs. We did not compare the demographics of our patients with those of other VA hospitals. The radiologists interpreted the images individually, and their subjectivity was another limitation.

Conclusion

In the MVAMC population, LI-RADS showed a good sensitivity, specificity, and diagnostic accuracy for CT surveillance scans in patient at high risk for HCC at an earlier time point than did standard evaluation by very experienced CT radiologists. Higher LI-RADS scores on surveillance CTs had good diagnostic accuracy for the probable future diagnosis of HCC, whereas lower LI-RADS scores had a good diagnostic accuracy for probable benign nodules. Utilizing the LI-RADS algorithm on all surveillance CTs in patients at high risk for HCC may lead to obtaining MRIs or follow-up CTs sooner for suspicious nodules, leading to an earlier diagnosis of HCC and possible earlier and more effective intervention.

References

1. El–Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132(7):2557-2576.

2. El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011;365(12):1118-1127.

3. Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020-1022.

4. Selvapatt N, House H, Brown A. Hepatocellular carcinoma surveillance: are we utilizing it? J Clin Gastroenterol. 2016;50(1):e8-e12.

5. Lee JM, Yoon JH, Joo I, Woo HS. Recent advances in CT and MR imaging for evaluation of hepatocellular carcinoma. Liver Cancer. 2012;1(1):22-40.

6. Chou R, Cuevas C, Fu R, et al. Imaging techniques for the diagnosis of hepatocellular carcinoma: a systemic review and meta-analysis. Ann Intern Med. 2015;162(10):697-711.

7. Ariff B, Lloyd CR, Khan S, et al. Imaging of liver cancer. World J Gastroenterol. 2009;15(11):1289-1300.

8. Yuen MF, Cheng CC, Lauder IJ, Lam SK, Ooi CG, Lai CL. Early detection of hepatocellular carcinoma increases the chance of treatment: Hong Kong experience. Hepatology. 2000;31(2):330-335.

9. Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med. 2014;11(4):e1001624.

10. Nusbaum, JD, Smirniotopoulos J, Wright HC, et al. The effect of hepatocellular carcinoma surveillance in an urban population with liver cirrhosis. J Clin Gastroenterol. 2015;49(10):e91-e95.

11. Kansagara D, Papak J, Pasha AS, et al. Screening for hepatocellular carcinoma in chronic liver disease: a systemic review. Ann Intern Med. 2014;161(4):261-269.

12. Shah S, Shukla A, Paunipagar B. Radiological features of hepatocellular carcinoma. J Clin Exp Hepatol. 2014;4(suppl 3):S63-S66.

13. You MW, Kim SY, Kim KW, et al. Recent advances in the imaging of hepatocellular carcinoma. Clin Mol Hepatol. 2015;21(1):95-103.

14. American College of Radiology. Liver reporting and data system (LI-RADS). https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS. Accessed April 10, 2018.

15. Anis M. Imaging of hepatocellular carcinoma: new approaches to diagnosis. Clin Liver Dis. 2015;19(2):325-340.

16. Mitchell D, Bruix J, Sherman M, Sirlin CB. LI-RADS (Liver Imaging Reporting and Data System): summary, discussion, and consensus of the LI-RADS Management Working Group and future directions. Hepatology. 2015;61(3):1056-1065.

17. Darnell A, Forner A, Rimola J, et al. Liver imaging reporting and data system with MR imaging: evaluation in nodules 20 mm or smaller detected in cirrhosis at screening US. Radiology. 2015; 275(3):698-707.

18. Davenport MS, Khalatbari S, Liu PS, et al. Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging. Radiology. 2014;272(1):132-142.

19. An C, Rakhmonova G, Choi JY, Kim MJ. Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm. Clin Mol Hepatol. 2016;22(2):296-307.

20. Zhao W, Li W, Yi X, et al. [Diagnostic value of liver imaging reporting and data system on primary hepatocellular carcinoma] [in Chinese]. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2016;41(4):380-387.

21. Choi SH, Byun JH, Kim SY, et al. Liver imaging reporting and data system v2014 with gadoxetate disodium-enhanced magnetic resonance imaging: validation of LIRADS category 4 and 5 criteria. Invest Radiol. 2016;51(8):483-490.

22. Zhang YD, Zhu FP, Xu X, et al. Liver imaging reporting and data system: substantial discordance between CT and MR for imaging classification of hepatic nodules. Acad Radiol. 2016;23(3):344-352.

23. Corwin MT, Fananapazir G, Jin M, Lamba R, Bashir MR. Difference in liver imaging and reporting data system categorization between MRI and CT. Am J Roentgenol. 2016;206(2):307-312.

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Brennan McCullar is a Hospitalist at Baptist Medical Group in Memphis, Tennessee. Bradford Waters is a Hepatologist, John Phillips is a Radiologist, Alan Appelbaum is a Radiologist, David Archie is a Radiologist, and Alva Weir is an Oncologist, all at Memphis Veterans Affairs Medical Center in Tennessee. Vikki Nolan is an Assistant Professor of epidemiology and Alva Weir is the Director of the hematology-oncology fellowship program, both at University of Tennessee Health Science Center in Memphis.
Correspondence: Brennan McCullar ([email protected])

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The authors report no actual or potential conflicts of interest with regard to this article.

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Brennan McCullar is a Hospitalist at Baptist Medical Group in Memphis, Tennessee. Bradford Waters is a Hepatologist, John Phillips is a Radiologist, Alan Appelbaum is a Radiologist, David Archie is a Radiologist, and Alva Weir is an Oncologist, all at Memphis Veterans Affairs Medical Center in Tennessee. Vikki Nolan is an Assistant Professor of epidemiology and Alva Weir is the Director of the hematology-oncology fellowship program, both at University of Tennessee Health Science Center in Memphis.
Correspondence: Brennan McCullar ([email protected])

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Brennan McCullar is a Hospitalist at Baptist Medical Group in Memphis, Tennessee. Bradford Waters is a Hepatologist, John Phillips is a Radiologist, Alan Appelbaum is a Radiologist, David Archie is a Radiologist, and Alva Weir is an Oncologist, all at Memphis Veterans Affairs Medical Center in Tennessee. Vikki Nolan is an Assistant Professor of epidemiology and Alva Weir is the Director of the hematology-oncology fellowship program, both at University of Tennessee Health Science Center in Memphis.
Correspondence: Brennan McCullar ([email protected])

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The authors report no actual or potential conflicts of interest with regard to this article.

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

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Related Articles

Although hepatocellular carcinoma can be difficult to detect, use of the LI-RADS algorithm could lead to earlier identification in at-risk patients.

Although hepatocellular carcinoma can be difficult to detect, use of the LI-RADS algorithm could lead to earlier identification in at-risk patients.

Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer worldwide.1 Liver cancer is the fifth most common cancer in men and the seventh in women.2 The highest incidence rates are in sub-Saharan Africa and Southeast Asia where hepatitis B virus is endemic. The incidence of HCC in western countries is increasing, particularly due to the rise of hepatitis C virus (HCV) as well as alcoholic liver disease and nonalcoholic fatty liver disease. The incidence of HCC has tripled in the US in the past 2 decades.1-3

HCC can be diagnosed by radiographic images without the need for biopsy if the typical imaging features are present.3 The European Association for the Study of Liver Disease (EASL) and the American Association for the Study of Liver Diseases (AASLD) recommend screening abdominal ultrasonography at 6-month intervals for high-risk patients.3,4 High-risk patients include patients with cirrhosis, especially those with hepatitis B or C.3

If screening ultrasonography detects a nodule, size determines whether a follow-up ultrasound is needed vs obtaining a contrast-enhanced dynamic computed tomography (CT) scan or a magnetic resonance image (MRI).3 If ultrasonography detects a nodule > 1 cm in diameter, then a dynamic CT or MRI is performed. Characteristic hyperenhancement during later arterial phase and washout during the venous or delayed phase is associated with a nearly 100% specificity for HCC diagnosis.5 Arterial-enhancing contrast is required when using CT and MRI because HCC is a hypervascular lesion.6 The portal venous blood dilutes the majority of the liver’s arterial blood; therefore, the liver does not enhance during the arterial phase, while HCC will show maximum enhancement.7 Furthermore, HCC should demonstrate a “washout” of contrast during the venous phase on CT and MRI.4 Standard imaging protocol dictates that 4 phases are needed to properly diagnose HCC including unenhanced, arterial, venous, and delayed.4

Regular surveillance increases the likelihood of detecting HCC before the presentation of clinical symptoms and facilitates receipt of curative therapy.8-10 Patients with viral hepatitis and cirrhosis with HCC found on screening are more likely to have earlier-stage disease and survive longer from the time of diagnosis.11 Furthermore, it has been observed that HCC detected by surveillance is significantly more likely to undergo curative therapy compared with incidental or symptomatic detection of HCC.9

Technical improvements in imaging techniques include advancement in contrast agents, multidetector row helical CT, and the flexibility/range of pulse sequences available in MRI.7 Even with technical improvements in all modalities used in HCC imaging, detecting HCC remains difficult, especially when detecting the small (< 2 cm) lesions in a cirrhotic liver.7 Interpretation of imaging also remains a challenge as HCC does not always fit strict criteria: lack of “washout” in a hypervascular lesion, determining small HCC lesions from benign nodules, and hypovascular/isovascular HCC.5 Radiologic differentials in the diagnosis of HCC include transient hepatic intensity difference (THID)/transient hepatic attenuation difference (THAD), arterio-portal shunt, and regenerative nodules.12 In the common clinical setting, patients undergo multiple imaging studies that are interpreted by multiple radiologists, which can add to the difficulty in the diagnosis of HCC.13

The radiology community recognized the inconsistencies and complexities of HCC imaging. Therefore, the American College of Radiology endorsed the Liver Imaging Reporting and Data System (LI-RADS), which had the goal of reducing variability in lesion interpretation through standardization and improving communication with clinicians.14 LI-RADS uses a diagnostic algorithm for CT and MRI that categorizes observed liver findings in high-risk individuals based on the probability or relative risk of HCC without assigning a formal diagnosis.14 LI-RADS takes into account arterial phase enhancement, tumor size, washout appearance, the presence and nature of a capsule, and threshold growth.15 LI-RADS categorizes an observed liver finding on a scale of 1 to 5, with 1 corresponding to a definitely benign finding and 5 with definitive HCC.14 Furthermore, LI-RADS sought to limit the technical variabilities among institutions.

LI-RADS was launched in 2011 and has been utilized by many clinical practices while continuing to be expanded and updated.16 Recent studies examined the specificity of LI-RADS as well as interreader variability.17,18 For nodules viewed on MRI, both LI-RADS categories 4 and 5 had high specificity for HCC.17 When looking at interreader repeatability, LI-RADS showed moderate agreement among experts using the diagnostic algorithm.19 Further studies have compared LI-RADS with the AASLD guidelines and the Organ Procurement and Transplantation Network (OPTN) guidelines.16 When compared with other guidelines, LI-RADS expands the definition of indeterminate findings into probably benign, intermediate probability of HCC, and probably HCC, which corresponds to LI-RADS categories 2, 3, and 4.16

We looked retrospectively at a group of patients previously diagnosed with HCC to see whether utilizing the LI-RADS scoring system within our screening system might have allowed an earlier prediction of HCC and a timelier intervention. Prior to this investigation the LI-RADS system was not used for HCC screening at our US Department of Veterans Affairs (VA) facility. We examined screened patients at the Memphis VA Medical Center (MVAMC) in Tennessee who were subsequently diagnosed with HCC to see which LI-RADS category the last surveillance CT prior to diagnosis would fall into, 6 months to a year prior to the diagnosis of HCC. Our control population was a group of patients screened with CT for their liver nodules who were found not to have HCC.

 

 

Methods

Patients at MVAMC with cirrhosis and patients with chronic hepatitis B are routinely screened with ultrasound, CT, or MRI in accordance with the AASLD, EASL, and VA guidelines. Of 303 patients with HCV and cirrhosis under care in 2015, 242 (81%) received imaging to screen for HCC according to the VA National Hepatitis C Registry 2015 (Personal Communication, Population Health Service, Office of Patient Care Services).The LI-RADS scoring system was not applied as a standard screening methodology.

Under an institutional review board-approved protocol, we reviewed the charts of all patients diagnosed with HCC at MVAMC from 2009 to 2014, utilizing ICD-9 code of 155.0 for HCC. We identified within these charts patients who had a surveillance CT image performed within a 6- to 13-month period prior to the CTs that diagnosed HCC (prediagnostic HCC CT). Furthermore, we reviewed the charts of all patients diagnosed with benign liver nodules at MVAMC from 2009 to 2014, utilizing the ICD-9 code of 573.8 for other specified disorders of the liver.

Within these charts, we found patients who had a surveillance CT image performed and who were followed after that image with additional imaging for ≥ 2 years or who had a liver biopsy negative for HCC (benign surveillance CT). We compared these 2 sets of CTs utilizing LI-RADS criteria. Once these patients were identified, a list of the CTs to be examined were given to 2 MVAMC radiologists who specialize in CT.

No identifying information of the patients was included, and a 13-digit number unique to each CT exam identified the CTs to be reviewed. Radiologist 1 and 2 examined the CTs on the MVAMC Picture Archiving and Communication System (PACS). Both radiologists were asked to give each nodule a score according to LI-RADS v2014 diagnostic algorithm (Figure).

We hypothesized that the prediagnostic CT images of patients eventually determined to have HCC would have a LI-RADS score of 4 (LR4) or LR5. Furthermore, we hypothesized that the CT images of the benign liver nodule patients would have a score ≤ LR3. If there was a disagreement between the radiologists in terms of a malignant score (LR4 or LR5) vs a benign score (≤ LR3), then a third radiologist (radiologist 3) provided a score for these nodules. The third, tiebreaker radiologist was given the scores of both prior radiologists and asked to choose which score was correct.

Statistical analysis was then applied to the data to determine the sensitivity, specificity, and diagnostic accuracy in diagnosing eventual HCC, as well as the false-negative and false-positive rates of radiologists 1 and 2. Raw data also were used to determine the agreement between raters by calculating the κ statistic with a 95% CI.

Results

A total of 70 nodules were examined by radiologists 1 and 2 with 42 of the nodules in the prediagnostic HCC CTs and 28 of the nodules in the benign surveillance CTs. 

Radiologists 1 and 2 found 27 and 29 patients, respectively, that had HCC that might have been predicted in an earlier scan if LI-RADS had been utilized, while5 patients for radiologist 1 and 7 patients for radiologist 2 were determined to have benign disease that would have been incorrectly identified as likely HCC with LR4 or LR5 (Table 1).

 

 

Radiologist 1 identified 11 patients with LR4 and 21 patients with LR5. His scores showed a sensitivity of 64.3% and specificity of 82.1% with accuracy of 71.4% for LI-RADS in identifying eventual HCC. The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 1 was 35.7% and the false-positive rate was 17.9%. Radiologist 2 identified 17 patients LR4 and 19 patients with LR5. Radiologist 2’s scores showed a sensitivity of 69.0% and specificity of 75.0% with accuracy of 71.4% for LI-RADS in identifying eventual HCC.The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 2 was 31.0% and false-positive rate of 25.0%. The κ statistic was calculated to determine the interrater agreement. The radiologists agreed on 58 of 70 samples; 15 without HCC and 43 with HCC. The κ statistic was 0.592, which indicates moderate agreement (Table 2). 

Radiologist 3 scored the 12 samples that showed discrepancies. Radiologist 3 increased the false-negative rate as he incorrectly identified 5 malignancies as benign with a score ≤ LR3.   

Discussion

If HCC is diagnosed late in the disease process based on symptomatology and not on surveillance imaging, the likelihood of receiving early and potential curative therapy greatly declines as was shown in a systemic literature review.9 Surveillance imaging and lesion interpretation by various radiologists has been difficult to standardize as new technologic advances continue to occur in the imaging of HCC.14 LI-RADS was initiated to help standardize CT and MRI interpretation and reporting of hepatic nodules. As a dynamic algorithm, it continues to adjust with new advances in imaging techniques with the most recent updates being made to the algorithm in 2014.14,19 LI-RADS applies to patients at high risk for HCC most often who are already enrolled in a surveillance program.19 The MVAMC has a high incidence of patients with cirrhosis who are at risk for HCC, which is why we chose it as our study population.

LI-RADS can be applied to both MRI and CT imaging. Much of the recent literature have looked at LI-RADS in terms of MRI. A group in China looked at 100 pathologically confirmed patients and assigned a LI-RADS score to the MRI at the time of diagnosis and showed that MRI LI-RADS scoring was highly sensitive and specific in the diagnosis of HCC.20 This study did note a numeric difference in the specificity of LI-RADS algorithm depending on how LR3 scores were viewed. If a LR3 score was considered negative rather than positive for HCC, then the specificity increased by almost 20%.20

Another study looked at patients with liver nodules ≤ 20 mm found on ultrasound and obtained MRIs and biopsies on these patients, assigning the MRI a LI-RADs score.17 Darnell and colleagues found that MRI LR4 and LR5 have a high specificity for HCC. However, 29 of the 42 LR3 lesions examined were found to be HCC.17 Furthermore, Choi and colleagues retrospectively looked at patients in a HCC surveillance program who had undergone MRI as part of the program and assigned LI-RADS scores to these MRIs.21 Their study showed that LR5 criteria on gadoxetate disodium-enhanced MRI has excellent positive predictive value (PPV) for diagnosing HCC, and LR4 showed good PPV.21

In our study, we chose to look at LI-RADS in terms of surveillance CT scans 6 to 13 months prior to the diagnosis of HCC to see whether this method would allow us to intervene earlier with more aggressive diagnostics or therapy in those suspected of having HCC. Although Choi and colleagues looked retrospectively at MRI surveillance imaging, most of the prior studies have looked at LI-RADS scoring in imaging at the time of diagnosis.17,20,21 By looking at surveillance CT scans, we sought to determine LI-RADS sensitivity, specificity, and diagnostic accuracy as a screening tool compared with CT evaluations without LI-RADS scoring.

We also chose to look at CT scans since most of the prior studies have looked at the more detailed and often more expensive MRIs. For both radiologists 1 and 2, the sensitivity was > 60% and specificity was > 70% with a diagnostic accuracy of 71.4% in predicting a diagnosis of HCC in future scans. Although there was high false negative of > 30% for both radiologists, we did consider LR3 as negative for HCC. As Darnell and colleagues’ study of MRI LI-RADS shows, LR3 may need to be revised in the future as its ambiguity can lead to false-negatives.17 Our results also showed moderate interreader agreement, which has been seen in previous studies with LI-RADS.18

Some studies have compared MRI with CT imaging in terms of LI-RADs classification of hepatic nodules to find out whether concordance was seen.22,23 Both studies found that there was substantial discordance between MRI and CT with CT often underscoring hepatic nodules.22,23 In Zhang and colleagues, interclass agreement between CT and MRI varied the most in terms of arterial enhancement with CT producing false-negative findings.22 CT also underestimated LI-RADS score by 16.9% for LR3, 37.3% for LR4, and 8.5% for LR5 in this study.22 Furthermore, Corwin and colleagues found a significant upgrade in terms of LI-RADS categorization with MRI for 42.5% of observations.23 In this study, upgraded LI-RADS scores on MRI included 2 upgraded to LR5V (Figure), 15 upgraded to LR5, and 12 upgraded to LR4.23 

The underscoring on CT often happened due to nonvisualization.23 In both studies, imaging that was performed on patients at risk for HCC was retrospectively reviewed by multiple radiologists, and the CTs and MRIs occurred within 1 month.22,23

Our study shows that the LI-RADS algorithm has a good sensitivity, specificity, and diagnostic accuracy as a screening tool, predicting HCC in scans earlier than standard CT evaluation. In our study, the patients with HCC were shown to have higher LI-RADS scores on prediagnostic imaging, while the benign liver nodule patients were shown to have lower LI-RADS scores. This data would suggest that a LI-RADS score given to surveillance CT of LR4 or higher should recommend either a biopsy or follow-up imaging after a short interval. If LI-RADS is applied to surveillance CTs in patients at risk for HCC, a diagnosis of HCC may be arrived at earlier as compared with not using the LI-RADS algorithm. Earlier detection may lead to earlier intervention and improved treatment outcomes.

 

 

Limitations

Limitations to our study occurred because radiologist 3 did not review all of the images nor score them. Radiologist 3 was limited to 12 images where there was disagreement and was limited to 2 scores to choose from for each image. Further limitations include that this study was performed at a single center. Our study focused on one imaging modality and did not include ultrasounds or MRIs. We did not compare the demographics of our patients with those of other VA hospitals. The radiologists interpreted the images individually, and their subjectivity was another limitation.

Conclusion

In the MVAMC population, LI-RADS showed a good sensitivity, specificity, and diagnostic accuracy for CT surveillance scans in patient at high risk for HCC at an earlier time point than did standard evaluation by very experienced CT radiologists. Higher LI-RADS scores on surveillance CTs had good diagnostic accuracy for the probable future diagnosis of HCC, whereas lower LI-RADS scores had a good diagnostic accuracy for probable benign nodules. Utilizing the LI-RADS algorithm on all surveillance CTs in patients at high risk for HCC may lead to obtaining MRIs or follow-up CTs sooner for suspicious nodules, leading to an earlier diagnosis of HCC and possible earlier and more effective intervention.

Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer worldwide.1 Liver cancer is the fifth most common cancer in men and the seventh in women.2 The highest incidence rates are in sub-Saharan Africa and Southeast Asia where hepatitis B virus is endemic. The incidence of HCC in western countries is increasing, particularly due to the rise of hepatitis C virus (HCV) as well as alcoholic liver disease and nonalcoholic fatty liver disease. The incidence of HCC has tripled in the US in the past 2 decades.1-3

HCC can be diagnosed by radiographic images without the need for biopsy if the typical imaging features are present.3 The European Association for the Study of Liver Disease (EASL) and the American Association for the Study of Liver Diseases (AASLD) recommend screening abdominal ultrasonography at 6-month intervals for high-risk patients.3,4 High-risk patients include patients with cirrhosis, especially those with hepatitis B or C.3

If screening ultrasonography detects a nodule, size determines whether a follow-up ultrasound is needed vs obtaining a contrast-enhanced dynamic computed tomography (CT) scan or a magnetic resonance image (MRI).3 If ultrasonography detects a nodule > 1 cm in diameter, then a dynamic CT or MRI is performed. Characteristic hyperenhancement during later arterial phase and washout during the venous or delayed phase is associated with a nearly 100% specificity for HCC diagnosis.5 Arterial-enhancing contrast is required when using CT and MRI because HCC is a hypervascular lesion.6 The portal venous blood dilutes the majority of the liver’s arterial blood; therefore, the liver does not enhance during the arterial phase, while HCC will show maximum enhancement.7 Furthermore, HCC should demonstrate a “washout” of contrast during the venous phase on CT and MRI.4 Standard imaging protocol dictates that 4 phases are needed to properly diagnose HCC including unenhanced, arterial, venous, and delayed.4

Regular surveillance increases the likelihood of detecting HCC before the presentation of clinical symptoms and facilitates receipt of curative therapy.8-10 Patients with viral hepatitis and cirrhosis with HCC found on screening are more likely to have earlier-stage disease and survive longer from the time of diagnosis.11 Furthermore, it has been observed that HCC detected by surveillance is significantly more likely to undergo curative therapy compared with incidental or symptomatic detection of HCC.9

Technical improvements in imaging techniques include advancement in contrast agents, multidetector row helical CT, and the flexibility/range of pulse sequences available in MRI.7 Even with technical improvements in all modalities used in HCC imaging, detecting HCC remains difficult, especially when detecting the small (< 2 cm) lesions in a cirrhotic liver.7 Interpretation of imaging also remains a challenge as HCC does not always fit strict criteria: lack of “washout” in a hypervascular lesion, determining small HCC lesions from benign nodules, and hypovascular/isovascular HCC.5 Radiologic differentials in the diagnosis of HCC include transient hepatic intensity difference (THID)/transient hepatic attenuation difference (THAD), arterio-portal shunt, and regenerative nodules.12 In the common clinical setting, patients undergo multiple imaging studies that are interpreted by multiple radiologists, which can add to the difficulty in the diagnosis of HCC.13

The radiology community recognized the inconsistencies and complexities of HCC imaging. Therefore, the American College of Radiology endorsed the Liver Imaging Reporting and Data System (LI-RADS), which had the goal of reducing variability in lesion interpretation through standardization and improving communication with clinicians.14 LI-RADS uses a diagnostic algorithm for CT and MRI that categorizes observed liver findings in high-risk individuals based on the probability or relative risk of HCC without assigning a formal diagnosis.14 LI-RADS takes into account arterial phase enhancement, tumor size, washout appearance, the presence and nature of a capsule, and threshold growth.15 LI-RADS categorizes an observed liver finding on a scale of 1 to 5, with 1 corresponding to a definitely benign finding and 5 with definitive HCC.14 Furthermore, LI-RADS sought to limit the technical variabilities among institutions.

LI-RADS was launched in 2011 and has been utilized by many clinical practices while continuing to be expanded and updated.16 Recent studies examined the specificity of LI-RADS as well as interreader variability.17,18 For nodules viewed on MRI, both LI-RADS categories 4 and 5 had high specificity for HCC.17 When looking at interreader repeatability, LI-RADS showed moderate agreement among experts using the diagnostic algorithm.19 Further studies have compared LI-RADS with the AASLD guidelines and the Organ Procurement and Transplantation Network (OPTN) guidelines.16 When compared with other guidelines, LI-RADS expands the definition of indeterminate findings into probably benign, intermediate probability of HCC, and probably HCC, which corresponds to LI-RADS categories 2, 3, and 4.16

We looked retrospectively at a group of patients previously diagnosed with HCC to see whether utilizing the LI-RADS scoring system within our screening system might have allowed an earlier prediction of HCC and a timelier intervention. Prior to this investigation the LI-RADS system was not used for HCC screening at our US Department of Veterans Affairs (VA) facility. We examined screened patients at the Memphis VA Medical Center (MVAMC) in Tennessee who were subsequently diagnosed with HCC to see which LI-RADS category the last surveillance CT prior to diagnosis would fall into, 6 months to a year prior to the diagnosis of HCC. Our control population was a group of patients screened with CT for their liver nodules who were found not to have HCC.

 

 

Methods

Patients at MVAMC with cirrhosis and patients with chronic hepatitis B are routinely screened with ultrasound, CT, or MRI in accordance with the AASLD, EASL, and VA guidelines. Of 303 patients with HCV and cirrhosis under care in 2015, 242 (81%) received imaging to screen for HCC according to the VA National Hepatitis C Registry 2015 (Personal Communication, Population Health Service, Office of Patient Care Services).The LI-RADS scoring system was not applied as a standard screening methodology.

Under an institutional review board-approved protocol, we reviewed the charts of all patients diagnosed with HCC at MVAMC from 2009 to 2014, utilizing ICD-9 code of 155.0 for HCC. We identified within these charts patients who had a surveillance CT image performed within a 6- to 13-month period prior to the CTs that diagnosed HCC (prediagnostic HCC CT). Furthermore, we reviewed the charts of all patients diagnosed with benign liver nodules at MVAMC from 2009 to 2014, utilizing the ICD-9 code of 573.8 for other specified disorders of the liver.

Within these charts, we found patients who had a surveillance CT image performed and who were followed after that image with additional imaging for ≥ 2 years or who had a liver biopsy negative for HCC (benign surveillance CT). We compared these 2 sets of CTs utilizing LI-RADS criteria. Once these patients were identified, a list of the CTs to be examined were given to 2 MVAMC radiologists who specialize in CT.

No identifying information of the patients was included, and a 13-digit number unique to each CT exam identified the CTs to be reviewed. Radiologist 1 and 2 examined the CTs on the MVAMC Picture Archiving and Communication System (PACS). Both radiologists were asked to give each nodule a score according to LI-RADS v2014 diagnostic algorithm (Figure).

We hypothesized that the prediagnostic CT images of patients eventually determined to have HCC would have a LI-RADS score of 4 (LR4) or LR5. Furthermore, we hypothesized that the CT images of the benign liver nodule patients would have a score ≤ LR3. If there was a disagreement between the radiologists in terms of a malignant score (LR4 or LR5) vs a benign score (≤ LR3), then a third radiologist (radiologist 3) provided a score for these nodules. The third, tiebreaker radiologist was given the scores of both prior radiologists and asked to choose which score was correct.

Statistical analysis was then applied to the data to determine the sensitivity, specificity, and diagnostic accuracy in diagnosing eventual HCC, as well as the false-negative and false-positive rates of radiologists 1 and 2. Raw data also were used to determine the agreement between raters by calculating the κ statistic with a 95% CI.

Results

A total of 70 nodules were examined by radiologists 1 and 2 with 42 of the nodules in the prediagnostic HCC CTs and 28 of the nodules in the benign surveillance CTs. 

Radiologists 1 and 2 found 27 and 29 patients, respectively, that had HCC that might have been predicted in an earlier scan if LI-RADS had been utilized, while5 patients for radiologist 1 and 7 patients for radiologist 2 were determined to have benign disease that would have been incorrectly identified as likely HCC with LR4 or LR5 (Table 1).

 

 

Radiologist 1 identified 11 patients with LR4 and 21 patients with LR5. His scores showed a sensitivity of 64.3% and specificity of 82.1% with accuracy of 71.4% for LI-RADS in identifying eventual HCC. The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 1 was 35.7% and the false-positive rate was 17.9%. Radiologist 2 identified 17 patients LR4 and 19 patients with LR5. Radiologist 2’s scores showed a sensitivity of 69.0% and specificity of 75.0% with accuracy of 71.4% for LI-RADS in identifying eventual HCC.The false-negative rate of the LI-RADS diagnostic algorithm for radiologist 2 was 31.0% and false-positive rate of 25.0%. The κ statistic was calculated to determine the interrater agreement. The radiologists agreed on 58 of 70 samples; 15 without HCC and 43 with HCC. The κ statistic was 0.592, which indicates moderate agreement (Table 2). 

Radiologist 3 scored the 12 samples that showed discrepancies. Radiologist 3 increased the false-negative rate as he incorrectly identified 5 malignancies as benign with a score ≤ LR3.   

Discussion

If HCC is diagnosed late in the disease process based on symptomatology and not on surveillance imaging, the likelihood of receiving early and potential curative therapy greatly declines as was shown in a systemic literature review.9 Surveillance imaging and lesion interpretation by various radiologists has been difficult to standardize as new technologic advances continue to occur in the imaging of HCC.14 LI-RADS was initiated to help standardize CT and MRI interpretation and reporting of hepatic nodules. As a dynamic algorithm, it continues to adjust with new advances in imaging techniques with the most recent updates being made to the algorithm in 2014.14,19 LI-RADS applies to patients at high risk for HCC most often who are already enrolled in a surveillance program.19 The MVAMC has a high incidence of patients with cirrhosis who are at risk for HCC, which is why we chose it as our study population.

LI-RADS can be applied to both MRI and CT imaging. Much of the recent literature have looked at LI-RADS in terms of MRI. A group in China looked at 100 pathologically confirmed patients and assigned a LI-RADS score to the MRI at the time of diagnosis and showed that MRI LI-RADS scoring was highly sensitive and specific in the diagnosis of HCC.20 This study did note a numeric difference in the specificity of LI-RADS algorithm depending on how LR3 scores were viewed. If a LR3 score was considered negative rather than positive for HCC, then the specificity increased by almost 20%.20

Another study looked at patients with liver nodules ≤ 20 mm found on ultrasound and obtained MRIs and biopsies on these patients, assigning the MRI a LI-RADs score.17 Darnell and colleagues found that MRI LR4 and LR5 have a high specificity for HCC. However, 29 of the 42 LR3 lesions examined were found to be HCC.17 Furthermore, Choi and colleagues retrospectively looked at patients in a HCC surveillance program who had undergone MRI as part of the program and assigned LI-RADS scores to these MRIs.21 Their study showed that LR5 criteria on gadoxetate disodium-enhanced MRI has excellent positive predictive value (PPV) for diagnosing HCC, and LR4 showed good PPV.21

In our study, we chose to look at LI-RADS in terms of surveillance CT scans 6 to 13 months prior to the diagnosis of HCC to see whether this method would allow us to intervene earlier with more aggressive diagnostics or therapy in those suspected of having HCC. Although Choi and colleagues looked retrospectively at MRI surveillance imaging, most of the prior studies have looked at LI-RADS scoring in imaging at the time of diagnosis.17,20,21 By looking at surveillance CT scans, we sought to determine LI-RADS sensitivity, specificity, and diagnostic accuracy as a screening tool compared with CT evaluations without LI-RADS scoring.

We also chose to look at CT scans since most of the prior studies have looked at the more detailed and often more expensive MRIs. For both radiologists 1 and 2, the sensitivity was > 60% and specificity was > 70% with a diagnostic accuracy of 71.4% in predicting a diagnosis of HCC in future scans. Although there was high false negative of > 30% for both radiologists, we did consider LR3 as negative for HCC. As Darnell and colleagues’ study of MRI LI-RADS shows, LR3 may need to be revised in the future as its ambiguity can lead to false-negatives.17 Our results also showed moderate interreader agreement, which has been seen in previous studies with LI-RADS.18

Some studies have compared MRI with CT imaging in terms of LI-RADs classification of hepatic nodules to find out whether concordance was seen.22,23 Both studies found that there was substantial discordance between MRI and CT with CT often underscoring hepatic nodules.22,23 In Zhang and colleagues, interclass agreement between CT and MRI varied the most in terms of arterial enhancement with CT producing false-negative findings.22 CT also underestimated LI-RADS score by 16.9% for LR3, 37.3% for LR4, and 8.5% for LR5 in this study.22 Furthermore, Corwin and colleagues found a significant upgrade in terms of LI-RADS categorization with MRI for 42.5% of observations.23 In this study, upgraded LI-RADS scores on MRI included 2 upgraded to LR5V (Figure), 15 upgraded to LR5, and 12 upgraded to LR4.23 

The underscoring on CT often happened due to nonvisualization.23 In both studies, imaging that was performed on patients at risk for HCC was retrospectively reviewed by multiple radiologists, and the CTs and MRIs occurred within 1 month.22,23

Our study shows that the LI-RADS algorithm has a good sensitivity, specificity, and diagnostic accuracy as a screening tool, predicting HCC in scans earlier than standard CT evaluation. In our study, the patients with HCC were shown to have higher LI-RADS scores on prediagnostic imaging, while the benign liver nodule patients were shown to have lower LI-RADS scores. This data would suggest that a LI-RADS score given to surveillance CT of LR4 or higher should recommend either a biopsy or follow-up imaging after a short interval. If LI-RADS is applied to surveillance CTs in patients at risk for HCC, a diagnosis of HCC may be arrived at earlier as compared with not using the LI-RADS algorithm. Earlier detection may lead to earlier intervention and improved treatment outcomes.

 

 

Limitations

Limitations to our study occurred because radiologist 3 did not review all of the images nor score them. Radiologist 3 was limited to 12 images where there was disagreement and was limited to 2 scores to choose from for each image. Further limitations include that this study was performed at a single center. Our study focused on one imaging modality and did not include ultrasounds or MRIs. We did not compare the demographics of our patients with those of other VA hospitals. The radiologists interpreted the images individually, and their subjectivity was another limitation.

Conclusion

In the MVAMC population, LI-RADS showed a good sensitivity, specificity, and diagnostic accuracy for CT surveillance scans in patient at high risk for HCC at an earlier time point than did standard evaluation by very experienced CT radiologists. Higher LI-RADS scores on surveillance CTs had good diagnostic accuracy for the probable future diagnosis of HCC, whereas lower LI-RADS scores had a good diagnostic accuracy for probable benign nodules. Utilizing the LI-RADS algorithm on all surveillance CTs in patients at high risk for HCC may lead to obtaining MRIs or follow-up CTs sooner for suspicious nodules, leading to an earlier diagnosis of HCC and possible earlier and more effective intervention.

References

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2. El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011;365(12):1118-1127.

3. Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020-1022.

4. Selvapatt N, House H, Brown A. Hepatocellular carcinoma surveillance: are we utilizing it? J Clin Gastroenterol. 2016;50(1):e8-e12.

5. Lee JM, Yoon JH, Joo I, Woo HS. Recent advances in CT and MR imaging for evaluation of hepatocellular carcinoma. Liver Cancer. 2012;1(1):22-40.

6. Chou R, Cuevas C, Fu R, et al. Imaging techniques for the diagnosis of hepatocellular carcinoma: a systemic review and meta-analysis. Ann Intern Med. 2015;162(10):697-711.

7. Ariff B, Lloyd CR, Khan S, et al. Imaging of liver cancer. World J Gastroenterol. 2009;15(11):1289-1300.

8. Yuen MF, Cheng CC, Lauder IJ, Lam SK, Ooi CG, Lai CL. Early detection of hepatocellular carcinoma increases the chance of treatment: Hong Kong experience. Hepatology. 2000;31(2):330-335.

9. Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med. 2014;11(4):e1001624.

10. Nusbaum, JD, Smirniotopoulos J, Wright HC, et al. The effect of hepatocellular carcinoma surveillance in an urban population with liver cirrhosis. J Clin Gastroenterol. 2015;49(10):e91-e95.

11. Kansagara D, Papak J, Pasha AS, et al. Screening for hepatocellular carcinoma in chronic liver disease: a systemic review. Ann Intern Med. 2014;161(4):261-269.

12. Shah S, Shukla A, Paunipagar B. Radiological features of hepatocellular carcinoma. J Clin Exp Hepatol. 2014;4(suppl 3):S63-S66.

13. You MW, Kim SY, Kim KW, et al. Recent advances in the imaging of hepatocellular carcinoma. Clin Mol Hepatol. 2015;21(1):95-103.

14. American College of Radiology. Liver reporting and data system (LI-RADS). https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS. Accessed April 10, 2018.

15. Anis M. Imaging of hepatocellular carcinoma: new approaches to diagnosis. Clin Liver Dis. 2015;19(2):325-340.

16. Mitchell D, Bruix J, Sherman M, Sirlin CB. LI-RADS (Liver Imaging Reporting and Data System): summary, discussion, and consensus of the LI-RADS Management Working Group and future directions. Hepatology. 2015;61(3):1056-1065.

17. Darnell A, Forner A, Rimola J, et al. Liver imaging reporting and data system with MR imaging: evaluation in nodules 20 mm or smaller detected in cirrhosis at screening US. Radiology. 2015; 275(3):698-707.

18. Davenport MS, Khalatbari S, Liu PS, et al. Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging. Radiology. 2014;272(1):132-142.

19. An C, Rakhmonova G, Choi JY, Kim MJ. Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm. Clin Mol Hepatol. 2016;22(2):296-307.

20. Zhao W, Li W, Yi X, et al. [Diagnostic value of liver imaging reporting and data system on primary hepatocellular carcinoma] [in Chinese]. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2016;41(4):380-387.

21. Choi SH, Byun JH, Kim SY, et al. Liver imaging reporting and data system v2014 with gadoxetate disodium-enhanced magnetic resonance imaging: validation of LIRADS category 4 and 5 criteria. Invest Radiol. 2016;51(8):483-490.

22. Zhang YD, Zhu FP, Xu X, et al. Liver imaging reporting and data system: substantial discordance between CT and MR for imaging classification of hepatic nodules. Acad Radiol. 2016;23(3):344-352.

23. Corwin MT, Fananapazir G, Jin M, Lamba R, Bashir MR. Difference in liver imaging and reporting data system categorization between MRI and CT. Am J Roentgenol. 2016;206(2):307-312.

References

1. El–Serag HB, Rudolph KL. Hepatocellular carcinoma: epidemiology and molecular carcinogenesis. Gastroenterology. 2007;132(7):2557-2576.

2. El-Serag HB. Hepatocellular carcinoma. N Engl J Med. 2011;365(12):1118-1127.

3. Bruix J, Sherman M; American Association for the Study of Liver Diseases. Management of hepatocellular carcinoma: an update. Hepatology. 2011;53(3):1020-1022.

4. Selvapatt N, House H, Brown A. Hepatocellular carcinoma surveillance: are we utilizing it? J Clin Gastroenterol. 2016;50(1):e8-e12.

5. Lee JM, Yoon JH, Joo I, Woo HS. Recent advances in CT and MR imaging for evaluation of hepatocellular carcinoma. Liver Cancer. 2012;1(1):22-40.

6. Chou R, Cuevas C, Fu R, et al. Imaging techniques for the diagnosis of hepatocellular carcinoma: a systemic review and meta-analysis. Ann Intern Med. 2015;162(10):697-711.

7. Ariff B, Lloyd CR, Khan S, et al. Imaging of liver cancer. World J Gastroenterol. 2009;15(11):1289-1300.

8. Yuen MF, Cheng CC, Lauder IJ, Lam SK, Ooi CG, Lai CL. Early detection of hepatocellular carcinoma increases the chance of treatment: Hong Kong experience. Hepatology. 2000;31(2):330-335.

9. Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med. 2014;11(4):e1001624.

10. Nusbaum, JD, Smirniotopoulos J, Wright HC, et al. The effect of hepatocellular carcinoma surveillance in an urban population with liver cirrhosis. J Clin Gastroenterol. 2015;49(10):e91-e95.

11. Kansagara D, Papak J, Pasha AS, et al. Screening for hepatocellular carcinoma in chronic liver disease: a systemic review. Ann Intern Med. 2014;161(4):261-269.

12. Shah S, Shukla A, Paunipagar B. Radiological features of hepatocellular carcinoma. J Clin Exp Hepatol. 2014;4(suppl 3):S63-S66.

13. You MW, Kim SY, Kim KW, et al. Recent advances in the imaging of hepatocellular carcinoma. Clin Mol Hepatol. 2015;21(1):95-103.

14. American College of Radiology. Liver reporting and data system (LI-RADS). https://www.acr.org/Clinical-Resources/Reporting-and-Data-Systems/LI-RADS. Accessed April 10, 2018.

15. Anis M. Imaging of hepatocellular carcinoma: new approaches to diagnosis. Clin Liver Dis. 2015;19(2):325-340.

16. Mitchell D, Bruix J, Sherman M, Sirlin CB. LI-RADS (Liver Imaging Reporting and Data System): summary, discussion, and consensus of the LI-RADS Management Working Group and future directions. Hepatology. 2015;61(3):1056-1065.

17. Darnell A, Forner A, Rimola J, et al. Liver imaging reporting and data system with MR imaging: evaluation in nodules 20 mm or smaller detected in cirrhosis at screening US. Radiology. 2015; 275(3):698-707.

18. Davenport MS, Khalatbari S, Liu PS, et al. Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging. Radiology. 2014;272(1):132-142.

19. An C, Rakhmonova G, Choi JY, Kim MJ. Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm. Clin Mol Hepatol. 2016;22(2):296-307.

20. Zhao W, Li W, Yi X, et al. [Diagnostic value of liver imaging reporting and data system on primary hepatocellular carcinoma] [in Chinese]. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2016;41(4):380-387.

21. Choi SH, Byun JH, Kim SY, et al. Liver imaging reporting and data system v2014 with gadoxetate disodium-enhanced magnetic resonance imaging: validation of LIRADS category 4 and 5 criteria. Invest Radiol. 2016;51(8):483-490.

22. Zhang YD, Zhu FP, Xu X, et al. Liver imaging reporting and data system: substantial discordance between CT and MR for imaging classification of hepatic nodules. Acad Radiol. 2016;23(3):344-352.

23. Corwin MT, Fananapazir G, Jin M, Lamba R, Bashir MR. Difference in liver imaging and reporting data system categorization between MRI and CT. Am J Roentgenol. 2016;206(2):307-312.

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Adding a blood test to standard screening may improve early cancer detection

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A minimally invasive multicancer blood test used with standard-of-care screening is safe, effective, and feasible for use in routine clinical care, according to interim findings from a large, prospective study.

The DETECT-A blood test, an early version of the CancerSEEK test currently in development, effectively guided patient management in real time, in some cases leading to diagnosis of early cancer and potentially curative surgery in asymptomatic women with no history of cancer.

Nickolas Papadopoulos, PhD, of Johns Hopkins Medicine in Baltimore, reported these findings at the AACR virtual meeting I. The findings were simultaneously published in Science.

The study enrolled 10,006 women, aged 65-75 years, with no prior cancer diagnosis. After exclusion and loss to follow-up, 9,911 women remained.

There were 26 patients who had cancer detected by the DETECT-A blood test, 15 of whom underwent follow-up PET-CT imaging and 9 of whom underwent surgical excision. An additional 24 cancers were detected by standard screening, and 46 were detected by other means.

The positive predictive value of the blood test was 19%. When the blood test was combined with imaging, the positive predictive value was 41%.
 

Improving upon standard screening

“Standard-of-care screening [was used] for three different organs: breast, lung, and colon. It was more sensitive for breast cancer,” Dr. Papadopoulos noted. “Blood testing, though, identified cancer in 10 different organs.”

In fact, the DETECT-A blood test detected 14 of 45 cancers in 7 organs for which no standard screening test is available.

In addition, 12 cancers in 3 organs (breast, lung, and colon) were first detected by DETECT-A rather than by standard screening. This increased the sensitivity of cancer detection from 47% with standard screening alone to 71% with standard screening plus blood testing.

“More important, 65% [of the cancers detected by blood test] were localized or regional, which have higher chance of successful treatment with intent to cure,” Dr. Papadopoulos said.

DETECT-A covers regions of 16 commonly mutated genes and 9 proteins known to be associated with cancer. In this study, 57% of cancers were detected by mutations.
 

Safety and additional screening

DETECT-A also proved safe, “without incurring a large number of futile invasive follow-up tests,” Dr. Papadopoulos said.

In fact, only 1% of patients without cancer underwent PET-CT imaging, and only 0.22% underwent a “futile” invasive follow-up procedure.

Three surgeries occurred in patients who were counted as false-positives, but the surgeries were determined to be indicated, Dr. Papadopoulos said. He explained that one was for large colonic polyps with high-grade dysplasia that could not be removed endoscopically, one was for an in situ carcinoma of the appendix, and one was for a 10-cm ovarian lesion that was found to be a mucinous cystadenoma.

The investigators also analyzed whether the availability of a “liquid biopsy” test like DETECT-A would inadvertently reduce patients’ use of standard screening and found that it did not. Mammography screening habits after receiving the baseline DETECT-A blood test did not differ significantly from those prior to study enrollment.

These findings are important because early detection is a key factor in reducing cancer-specific morbidity and mortality, and although minimally invasive screening tests, including liquid biopsies like DETECT-A, hold great promise, prospective clinical studies of these new methods are needed to ensure that the anticipated benefits outweigh the potential risks, Dr. Papadopoulos explained.

“The problem is that most cancers are detected at advanced stages when they are difficult to treat,” he said. “The earlier cancer is detected, the greater the chance of successful treatment.”
 

 

 

Unanswered questions and future studies

This study demonstrates that it is feasible for a minimally invasive blood test to safely detect multiple cancer types in patients without a history of cancer and to enable treatment with curative intent, at least in a subset of individuals, Dr. Papadopoulos said. He added that the findings also inform the design of future randomized trials “to establish clinical utility, cost-effectiveness, and benefit-to-risk ratio of future tests.”

Further studies will also be required to determine the clinical validity and utility of the strategy of using liquid biopsy as a complement to standard-of-care screening, Dr. Papadopoulos said.

Invited discussant David G. Huntsman, MD, of the University of British Columbia in Vancouver, applauded the investigators, saying this study serves to “move the field forward.” However, it still isn’t clear how sensitivity and negative predictive value will be determined and what the optimal testing schedule is.

“This is a prospective study that will provide the data on how this assay will be used [and] whether it should be used going forward,” Dr. Huntsman said, noting that the “much bigger and more important question” is whether it improves survival.

Cost-effectiveness will also be critical, he said.

This research was supported by The Marcus Foundation, Lustgarten Foundation for Pancreatic Cancer Research, The Virginia and D.K. Ludwig Fund for Cancer Research, The Sol Goldman Center for Pancreatic Cancer Research, Susan Wojcicki and Dennis Troper, the Rolfe Foundation, The Conrad R. Hilton Foundation, The John Templeton Foundation, Burroughs Wellcome Career Award For Medical Scientists, and grants/contracts from the National Institutes of Health.

Dr. Papadopoulos disclosed relationships with Thrive Earlier Detection Inc., PGDx Inc., NeoPhore, Cage Pharma, and other companies. Dr. Huntsman is a founder, shareholder, and chief medical officer for Contextual Genomics.

SOURCE: Papadopoulos N et al. AACR 2020, Abstract CT022; Lennon AM et al. Science. 2020 Apr 28. pii: eabb9601. doi: 10.1126/science.abb9601.

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A minimally invasive multicancer blood test used with standard-of-care screening is safe, effective, and feasible for use in routine clinical care, according to interim findings from a large, prospective study.

The DETECT-A blood test, an early version of the CancerSEEK test currently in development, effectively guided patient management in real time, in some cases leading to diagnosis of early cancer and potentially curative surgery in asymptomatic women with no history of cancer.

Nickolas Papadopoulos, PhD, of Johns Hopkins Medicine in Baltimore, reported these findings at the AACR virtual meeting I. The findings were simultaneously published in Science.

The study enrolled 10,006 women, aged 65-75 years, with no prior cancer diagnosis. After exclusion and loss to follow-up, 9,911 women remained.

There were 26 patients who had cancer detected by the DETECT-A blood test, 15 of whom underwent follow-up PET-CT imaging and 9 of whom underwent surgical excision. An additional 24 cancers were detected by standard screening, and 46 were detected by other means.

The positive predictive value of the blood test was 19%. When the blood test was combined with imaging, the positive predictive value was 41%.
 

Improving upon standard screening

“Standard-of-care screening [was used] for three different organs: breast, lung, and colon. It was more sensitive for breast cancer,” Dr. Papadopoulos noted. “Blood testing, though, identified cancer in 10 different organs.”

In fact, the DETECT-A blood test detected 14 of 45 cancers in 7 organs for which no standard screening test is available.

In addition, 12 cancers in 3 organs (breast, lung, and colon) were first detected by DETECT-A rather than by standard screening. This increased the sensitivity of cancer detection from 47% with standard screening alone to 71% with standard screening plus blood testing.

“More important, 65% [of the cancers detected by blood test] were localized or regional, which have higher chance of successful treatment with intent to cure,” Dr. Papadopoulos said.

DETECT-A covers regions of 16 commonly mutated genes and 9 proteins known to be associated with cancer. In this study, 57% of cancers were detected by mutations.
 

Safety and additional screening

DETECT-A also proved safe, “without incurring a large number of futile invasive follow-up tests,” Dr. Papadopoulos said.

In fact, only 1% of patients without cancer underwent PET-CT imaging, and only 0.22% underwent a “futile” invasive follow-up procedure.

Three surgeries occurred in patients who were counted as false-positives, but the surgeries were determined to be indicated, Dr. Papadopoulos said. He explained that one was for large colonic polyps with high-grade dysplasia that could not be removed endoscopically, one was for an in situ carcinoma of the appendix, and one was for a 10-cm ovarian lesion that was found to be a mucinous cystadenoma.

The investigators also analyzed whether the availability of a “liquid biopsy” test like DETECT-A would inadvertently reduce patients’ use of standard screening and found that it did not. Mammography screening habits after receiving the baseline DETECT-A blood test did not differ significantly from those prior to study enrollment.

These findings are important because early detection is a key factor in reducing cancer-specific morbidity and mortality, and although minimally invasive screening tests, including liquid biopsies like DETECT-A, hold great promise, prospective clinical studies of these new methods are needed to ensure that the anticipated benefits outweigh the potential risks, Dr. Papadopoulos explained.

“The problem is that most cancers are detected at advanced stages when they are difficult to treat,” he said. “The earlier cancer is detected, the greater the chance of successful treatment.”
 

 

 

Unanswered questions and future studies

This study demonstrates that it is feasible for a minimally invasive blood test to safely detect multiple cancer types in patients without a history of cancer and to enable treatment with curative intent, at least in a subset of individuals, Dr. Papadopoulos said. He added that the findings also inform the design of future randomized trials “to establish clinical utility, cost-effectiveness, and benefit-to-risk ratio of future tests.”

Further studies will also be required to determine the clinical validity and utility of the strategy of using liquid biopsy as a complement to standard-of-care screening, Dr. Papadopoulos said.

Invited discussant David G. Huntsman, MD, of the University of British Columbia in Vancouver, applauded the investigators, saying this study serves to “move the field forward.” However, it still isn’t clear how sensitivity and negative predictive value will be determined and what the optimal testing schedule is.

“This is a prospective study that will provide the data on how this assay will be used [and] whether it should be used going forward,” Dr. Huntsman said, noting that the “much bigger and more important question” is whether it improves survival.

Cost-effectiveness will also be critical, he said.

This research was supported by The Marcus Foundation, Lustgarten Foundation for Pancreatic Cancer Research, The Virginia and D.K. Ludwig Fund for Cancer Research, The Sol Goldman Center for Pancreatic Cancer Research, Susan Wojcicki and Dennis Troper, the Rolfe Foundation, The Conrad R. Hilton Foundation, The John Templeton Foundation, Burroughs Wellcome Career Award For Medical Scientists, and grants/contracts from the National Institutes of Health.

Dr. Papadopoulos disclosed relationships with Thrive Earlier Detection Inc., PGDx Inc., NeoPhore, Cage Pharma, and other companies. Dr. Huntsman is a founder, shareholder, and chief medical officer for Contextual Genomics.

SOURCE: Papadopoulos N et al. AACR 2020, Abstract CT022; Lennon AM et al. Science. 2020 Apr 28. pii: eabb9601. doi: 10.1126/science.abb9601.

A minimally invasive multicancer blood test used with standard-of-care screening is safe, effective, and feasible for use in routine clinical care, according to interim findings from a large, prospective study.

The DETECT-A blood test, an early version of the CancerSEEK test currently in development, effectively guided patient management in real time, in some cases leading to diagnosis of early cancer and potentially curative surgery in asymptomatic women with no history of cancer.

Nickolas Papadopoulos, PhD, of Johns Hopkins Medicine in Baltimore, reported these findings at the AACR virtual meeting I. The findings were simultaneously published in Science.

The study enrolled 10,006 women, aged 65-75 years, with no prior cancer diagnosis. After exclusion and loss to follow-up, 9,911 women remained.

There were 26 patients who had cancer detected by the DETECT-A blood test, 15 of whom underwent follow-up PET-CT imaging and 9 of whom underwent surgical excision. An additional 24 cancers were detected by standard screening, and 46 were detected by other means.

The positive predictive value of the blood test was 19%. When the blood test was combined with imaging, the positive predictive value was 41%.
 

Improving upon standard screening

“Standard-of-care screening [was used] for three different organs: breast, lung, and colon. It was more sensitive for breast cancer,” Dr. Papadopoulos noted. “Blood testing, though, identified cancer in 10 different organs.”

In fact, the DETECT-A blood test detected 14 of 45 cancers in 7 organs for which no standard screening test is available.

In addition, 12 cancers in 3 organs (breast, lung, and colon) were first detected by DETECT-A rather than by standard screening. This increased the sensitivity of cancer detection from 47% with standard screening alone to 71% with standard screening plus blood testing.

“More important, 65% [of the cancers detected by blood test] were localized or regional, which have higher chance of successful treatment with intent to cure,” Dr. Papadopoulos said.

DETECT-A covers regions of 16 commonly mutated genes and 9 proteins known to be associated with cancer. In this study, 57% of cancers were detected by mutations.
 

Safety and additional screening

DETECT-A also proved safe, “without incurring a large number of futile invasive follow-up tests,” Dr. Papadopoulos said.

In fact, only 1% of patients without cancer underwent PET-CT imaging, and only 0.22% underwent a “futile” invasive follow-up procedure.

Three surgeries occurred in patients who were counted as false-positives, but the surgeries were determined to be indicated, Dr. Papadopoulos said. He explained that one was for large colonic polyps with high-grade dysplasia that could not be removed endoscopically, one was for an in situ carcinoma of the appendix, and one was for a 10-cm ovarian lesion that was found to be a mucinous cystadenoma.

The investigators also analyzed whether the availability of a “liquid biopsy” test like DETECT-A would inadvertently reduce patients’ use of standard screening and found that it did not. Mammography screening habits after receiving the baseline DETECT-A blood test did not differ significantly from those prior to study enrollment.

These findings are important because early detection is a key factor in reducing cancer-specific morbidity and mortality, and although minimally invasive screening tests, including liquid biopsies like DETECT-A, hold great promise, prospective clinical studies of these new methods are needed to ensure that the anticipated benefits outweigh the potential risks, Dr. Papadopoulos explained.

“The problem is that most cancers are detected at advanced stages when they are difficult to treat,” he said. “The earlier cancer is detected, the greater the chance of successful treatment.”
 

 

 

Unanswered questions and future studies

This study demonstrates that it is feasible for a minimally invasive blood test to safely detect multiple cancer types in patients without a history of cancer and to enable treatment with curative intent, at least in a subset of individuals, Dr. Papadopoulos said. He added that the findings also inform the design of future randomized trials “to establish clinical utility, cost-effectiveness, and benefit-to-risk ratio of future tests.”

Further studies will also be required to determine the clinical validity and utility of the strategy of using liquid biopsy as a complement to standard-of-care screening, Dr. Papadopoulos said.

Invited discussant David G. Huntsman, MD, of the University of British Columbia in Vancouver, applauded the investigators, saying this study serves to “move the field forward.” However, it still isn’t clear how sensitivity and negative predictive value will be determined and what the optimal testing schedule is.

“This is a prospective study that will provide the data on how this assay will be used [and] whether it should be used going forward,” Dr. Huntsman said, noting that the “much bigger and more important question” is whether it improves survival.

Cost-effectiveness will also be critical, he said.

This research was supported by The Marcus Foundation, Lustgarten Foundation for Pancreatic Cancer Research, The Virginia and D.K. Ludwig Fund for Cancer Research, The Sol Goldman Center for Pancreatic Cancer Research, Susan Wojcicki and Dennis Troper, the Rolfe Foundation, The Conrad R. Hilton Foundation, The John Templeton Foundation, Burroughs Wellcome Career Award For Medical Scientists, and grants/contracts from the National Institutes of Health.

Dr. Papadopoulos disclosed relationships with Thrive Earlier Detection Inc., PGDx Inc., NeoPhore, Cage Pharma, and other companies. Dr. Huntsman is a founder, shareholder, and chief medical officer for Contextual Genomics.

SOURCE: Papadopoulos N et al. AACR 2020, Abstract CT022; Lennon AM et al. Science. 2020 Apr 28. pii: eabb9601. doi: 10.1126/science.abb9601.

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Novel immune activator boosts immunotherapy benefit in TNBC

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Triple-negative breast cancer (TNBC) is a particularly aggressive form of this disease, with a poor prognosis, so there is great interest in any new treatment approach. Immunotherapy has raised hopes in TNBC, but more recently, studies have produced conflicting results.

New results show that adding a novel immune activator, Imprime PGG (Biothera), to immunotherapy with pembrolizumab (Keytruda, Merck) appears to improve the clinical benefit. The overall survival seen with the combination was twice that seen in a separate trial with pembrolizumab alone.

The new results were presented during the American Association for Cancer Research (AACR) virtual annual meeting I.

They come from the IMPRIME 1 trial, conducted in 44 women with metastatic TNBC who had anti-glucan antibodies.

“These were patients who had had prior chemotherapy and had extensive disease, including the majority with visceral disease and even liver metastasis,” said investigator Steven O’Day, MD, from the John Wayne Cancer Institute in Santa Monica, California.

All patients were treated with the combination. “We see encouraging clinical benefit evidence across all of our clinical measurements: response, durable response, and median and overall survival compared to historical single-agent [anti] PD-1 in a similar metastatic triple-negative breast cancer population,” he said.

At a median follow-up of 22.5 months, median overall survival with the combination among the 44 patients treated was 16.4 months.

In contrast, in the Keynote-086 trial of pembrolizumab monotherapy in patients with TNBC, median overall survival was 9 months, O’Day said.

He emphasized, however, that the IMPRIME 1 trial was not designed or powered to directly compare the combination therapy with pembrolizumab monotherapy.

Clinical benefit with the combination was particularly pronounced for patients who were so-called TNBC “converters” — that is, they originally had estrogen receptor (ER)-positive tumors that had progressed on endocrine therapy and, prior to starting treatment with Imprime PGG and pembrolizumab, they had biopsy results confirming TNBC, O’Day said.

The overall response rate (ORR) for all 44 patients included in the efficacy analysis was 15.9%. But among the 12 patients whose disease converted from ER-positive to TNBC after endocrine therapy, six had a response, for an ORR of 50% and a median overall survival of 17.1 months.

“It is not clear whether hormone resistance may have led to the increased responses versus secondary triple-negative status, but it is of great interest to us,” O’Day said.
 

Why This Special Benefit?

Invited discussant Ben Ho Park, MD, PhD, from Vanderbilt University Medical Center in Nashville, Tennessee, commented that the finding of special benefit among TNBC converters raises the question of biomarkers to determine which patients might most benefit from the combination.

“We already know that anti-beta-glucan antibodies were required to be actually eligible for this study, but is it that, in combination with immune activation, or prior ER-positive disease?” he said. “What about the role of PD-L1 staining? Can we actually combine all this data to come up with some sort of predictive score for whether or not a patient is more or less likely to respond, and more or less likely to have toxicities?”

Yeast-Derived Compound

Imprime PGG is a novel beta-glucan isolated from the cell walls of saccharomyces yeast that binds to endogenous anti-beta-glucan antibodies to form an immune complex.

The immune complex, which is the active drug, binds to a receptor known as dectin-1 to activate innate immunity and reprogram the immunosuppressive tumor microenvironment, enhance antigen presentation, and trigger T-cell activation to improve the efficacy of immune checkpoint inhibitor therapy, O’Day explained.

The complex has been administered to date to approximately 600 healthy volunteers and patients. In these studies, it was administered intravenously at doses of 2 mg/kg to 6 mg/kg weekly as monotherapy or in combination with anti-angiogenic antibodies or tumor-targeting antibodies, with or without chemotherapy.

Studies in volunteers showed that the complex activated innate immunity. Patients have tolerated it well, with no significant safety signals in either monotherapy or combination, with grade 1 or 2 infusion-related reactions being the most common adverse events to date, O’Day reported.

Study Details

Imprime 1 was a single-arm phase 2 trial enrolling 44 women with TNBC who had received at least one prior line of treatment, but not with an immune checkpoint inhibitor. They were all required to have anti-beta-glucan antibody levels of at least 20 mcg/mL.

All patients received the combination, which comprised Imprime PGG 4 mg/kg weekly plus pembrolizumab 200 mg IV every 3 weeks.

Twenty one patients were under age 50 years, and 23 were 50 years old and older. Seventeen patients were premenopausal, and 27 were postmenopausal. In all, 15 patients had more than three prior lines of therapy for metastatic disease, 30 had visceral disease, and 12 had liver metastases; only four had metastases confined to lymph nodes.

As noted above, median overall survival for all patients was 16.4 months. The ORR was 15.9%, and the disease control rate (a combination of complete and partial responses plus stable disease) was 25%. The median progression-free survival was 2.7 months (vs 2 months in Keynote-086).

In all, 39 of the 44 patients had treatment-related adverse events, with the most common being nausea, back pain, chills, fatigue, diarrhea, arthralgia, and headache. Four patients had grade 3 or 4 events, which included an infusion-related reaction, hyperglycemia, pericarditis, and pancreatitis.

Infusion-related reactions were seen in 27 patients, but only one of these reactions was grade 3 or 4.

The most common immune-mediated events were grade 1 or 2 thyroid dysfunction, which is commonly seen with PD-1 inhibitors, and there were single low-grade events of pancreatitis, pneumonitis, and pericarditis “most likely related to PD-1 inhibitor therapy,” O’Day said.

Translational data showed that innate and adaptive immunity in peripheral blood correlates with clinical benefit, with longer overall survival among patients with either monocyte activation (P = .0045) or T-cell activation (P = .012) compared with patients without activation of those components.

Taken together, the findings suggest that larger controlled studies of the combination are warranted, O’Day said.

The study was sponsored by Biothera and Merck. O’Day disclosed advisory board activities and research funding from both companies and others, and consulting for Biothera. Park disclosed royalties and consulting activities from several companies, not including the Imprime 1 sponsors.
 

This article first appeared on Medscape.com.

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Triple-negative breast cancer (TNBC) is a particularly aggressive form of this disease, with a poor prognosis, so there is great interest in any new treatment approach. Immunotherapy has raised hopes in TNBC, but more recently, studies have produced conflicting results.

New results show that adding a novel immune activator, Imprime PGG (Biothera), to immunotherapy with pembrolizumab (Keytruda, Merck) appears to improve the clinical benefit. The overall survival seen with the combination was twice that seen in a separate trial with pembrolizumab alone.

The new results were presented during the American Association for Cancer Research (AACR) virtual annual meeting I.

They come from the IMPRIME 1 trial, conducted in 44 women with metastatic TNBC who had anti-glucan antibodies.

“These were patients who had had prior chemotherapy and had extensive disease, including the majority with visceral disease and even liver metastasis,” said investigator Steven O’Day, MD, from the John Wayne Cancer Institute in Santa Monica, California.

All patients were treated with the combination. “We see encouraging clinical benefit evidence across all of our clinical measurements: response, durable response, and median and overall survival compared to historical single-agent [anti] PD-1 in a similar metastatic triple-negative breast cancer population,” he said.

At a median follow-up of 22.5 months, median overall survival with the combination among the 44 patients treated was 16.4 months.

In contrast, in the Keynote-086 trial of pembrolizumab monotherapy in patients with TNBC, median overall survival was 9 months, O’Day said.

He emphasized, however, that the IMPRIME 1 trial was not designed or powered to directly compare the combination therapy with pembrolizumab monotherapy.

Clinical benefit with the combination was particularly pronounced for patients who were so-called TNBC “converters” — that is, they originally had estrogen receptor (ER)-positive tumors that had progressed on endocrine therapy and, prior to starting treatment with Imprime PGG and pembrolizumab, they had biopsy results confirming TNBC, O’Day said.

The overall response rate (ORR) for all 44 patients included in the efficacy analysis was 15.9%. But among the 12 patients whose disease converted from ER-positive to TNBC after endocrine therapy, six had a response, for an ORR of 50% and a median overall survival of 17.1 months.

“It is not clear whether hormone resistance may have led to the increased responses versus secondary triple-negative status, but it is of great interest to us,” O’Day said.
 

Why This Special Benefit?

Invited discussant Ben Ho Park, MD, PhD, from Vanderbilt University Medical Center in Nashville, Tennessee, commented that the finding of special benefit among TNBC converters raises the question of biomarkers to determine which patients might most benefit from the combination.

“We already know that anti-beta-glucan antibodies were required to be actually eligible for this study, but is it that, in combination with immune activation, or prior ER-positive disease?” he said. “What about the role of PD-L1 staining? Can we actually combine all this data to come up with some sort of predictive score for whether or not a patient is more or less likely to respond, and more or less likely to have toxicities?”

Yeast-Derived Compound

Imprime PGG is a novel beta-glucan isolated from the cell walls of saccharomyces yeast that binds to endogenous anti-beta-glucan antibodies to form an immune complex.

The immune complex, which is the active drug, binds to a receptor known as dectin-1 to activate innate immunity and reprogram the immunosuppressive tumor microenvironment, enhance antigen presentation, and trigger T-cell activation to improve the efficacy of immune checkpoint inhibitor therapy, O’Day explained.

The complex has been administered to date to approximately 600 healthy volunteers and patients. In these studies, it was administered intravenously at doses of 2 mg/kg to 6 mg/kg weekly as monotherapy or in combination with anti-angiogenic antibodies or tumor-targeting antibodies, with or without chemotherapy.

Studies in volunteers showed that the complex activated innate immunity. Patients have tolerated it well, with no significant safety signals in either monotherapy or combination, with grade 1 or 2 infusion-related reactions being the most common adverse events to date, O’Day reported.

Study Details

Imprime 1 was a single-arm phase 2 trial enrolling 44 women with TNBC who had received at least one prior line of treatment, but not with an immune checkpoint inhibitor. They were all required to have anti-beta-glucan antibody levels of at least 20 mcg/mL.

All patients received the combination, which comprised Imprime PGG 4 mg/kg weekly plus pembrolizumab 200 mg IV every 3 weeks.

Twenty one patients were under age 50 years, and 23 were 50 years old and older. Seventeen patients were premenopausal, and 27 were postmenopausal. In all, 15 patients had more than three prior lines of therapy for metastatic disease, 30 had visceral disease, and 12 had liver metastases; only four had metastases confined to lymph nodes.

As noted above, median overall survival for all patients was 16.4 months. The ORR was 15.9%, and the disease control rate (a combination of complete and partial responses plus stable disease) was 25%. The median progression-free survival was 2.7 months (vs 2 months in Keynote-086).

In all, 39 of the 44 patients had treatment-related adverse events, with the most common being nausea, back pain, chills, fatigue, diarrhea, arthralgia, and headache. Four patients had grade 3 or 4 events, which included an infusion-related reaction, hyperglycemia, pericarditis, and pancreatitis.

Infusion-related reactions were seen in 27 patients, but only one of these reactions was grade 3 or 4.

The most common immune-mediated events were grade 1 or 2 thyroid dysfunction, which is commonly seen with PD-1 inhibitors, and there were single low-grade events of pancreatitis, pneumonitis, and pericarditis “most likely related to PD-1 inhibitor therapy,” O’Day said.

Translational data showed that innate and adaptive immunity in peripheral blood correlates with clinical benefit, with longer overall survival among patients with either monocyte activation (P = .0045) or T-cell activation (P = .012) compared with patients without activation of those components.

Taken together, the findings suggest that larger controlled studies of the combination are warranted, O’Day said.

The study was sponsored by Biothera and Merck. O’Day disclosed advisory board activities and research funding from both companies and others, and consulting for Biothera. Park disclosed royalties and consulting activities from several companies, not including the Imprime 1 sponsors.
 

This article first appeared on Medscape.com.

 

Triple-negative breast cancer (TNBC) is a particularly aggressive form of this disease, with a poor prognosis, so there is great interest in any new treatment approach. Immunotherapy has raised hopes in TNBC, but more recently, studies have produced conflicting results.

New results show that adding a novel immune activator, Imprime PGG (Biothera), to immunotherapy with pembrolizumab (Keytruda, Merck) appears to improve the clinical benefit. The overall survival seen with the combination was twice that seen in a separate trial with pembrolizumab alone.

The new results were presented during the American Association for Cancer Research (AACR) virtual annual meeting I.

They come from the IMPRIME 1 trial, conducted in 44 women with metastatic TNBC who had anti-glucan antibodies.

“These were patients who had had prior chemotherapy and had extensive disease, including the majority with visceral disease and even liver metastasis,” said investigator Steven O’Day, MD, from the John Wayne Cancer Institute in Santa Monica, California.

All patients were treated with the combination. “We see encouraging clinical benefit evidence across all of our clinical measurements: response, durable response, and median and overall survival compared to historical single-agent [anti] PD-1 in a similar metastatic triple-negative breast cancer population,” he said.

At a median follow-up of 22.5 months, median overall survival with the combination among the 44 patients treated was 16.4 months.

In contrast, in the Keynote-086 trial of pembrolizumab monotherapy in patients with TNBC, median overall survival was 9 months, O’Day said.

He emphasized, however, that the IMPRIME 1 trial was not designed or powered to directly compare the combination therapy with pembrolizumab monotherapy.

Clinical benefit with the combination was particularly pronounced for patients who were so-called TNBC “converters” — that is, they originally had estrogen receptor (ER)-positive tumors that had progressed on endocrine therapy and, prior to starting treatment with Imprime PGG and pembrolizumab, they had biopsy results confirming TNBC, O’Day said.

The overall response rate (ORR) for all 44 patients included in the efficacy analysis was 15.9%. But among the 12 patients whose disease converted from ER-positive to TNBC after endocrine therapy, six had a response, for an ORR of 50% and a median overall survival of 17.1 months.

“It is not clear whether hormone resistance may have led to the increased responses versus secondary triple-negative status, but it is of great interest to us,” O’Day said.
 

Why This Special Benefit?

Invited discussant Ben Ho Park, MD, PhD, from Vanderbilt University Medical Center in Nashville, Tennessee, commented that the finding of special benefit among TNBC converters raises the question of biomarkers to determine which patients might most benefit from the combination.

“We already know that anti-beta-glucan antibodies were required to be actually eligible for this study, but is it that, in combination with immune activation, or prior ER-positive disease?” he said. “What about the role of PD-L1 staining? Can we actually combine all this data to come up with some sort of predictive score for whether or not a patient is more or less likely to respond, and more or less likely to have toxicities?”

Yeast-Derived Compound

Imprime PGG is a novel beta-glucan isolated from the cell walls of saccharomyces yeast that binds to endogenous anti-beta-glucan antibodies to form an immune complex.

The immune complex, which is the active drug, binds to a receptor known as dectin-1 to activate innate immunity and reprogram the immunosuppressive tumor microenvironment, enhance antigen presentation, and trigger T-cell activation to improve the efficacy of immune checkpoint inhibitor therapy, O’Day explained.

The complex has been administered to date to approximately 600 healthy volunteers and patients. In these studies, it was administered intravenously at doses of 2 mg/kg to 6 mg/kg weekly as monotherapy or in combination with anti-angiogenic antibodies or tumor-targeting antibodies, with or without chemotherapy.

Studies in volunteers showed that the complex activated innate immunity. Patients have tolerated it well, with no significant safety signals in either monotherapy or combination, with grade 1 or 2 infusion-related reactions being the most common adverse events to date, O’Day reported.

Study Details

Imprime 1 was a single-arm phase 2 trial enrolling 44 women with TNBC who had received at least one prior line of treatment, but not with an immune checkpoint inhibitor. They were all required to have anti-beta-glucan antibody levels of at least 20 mcg/mL.

All patients received the combination, which comprised Imprime PGG 4 mg/kg weekly plus pembrolizumab 200 mg IV every 3 weeks.

Twenty one patients were under age 50 years, and 23 were 50 years old and older. Seventeen patients were premenopausal, and 27 were postmenopausal. In all, 15 patients had more than three prior lines of therapy for metastatic disease, 30 had visceral disease, and 12 had liver metastases; only four had metastases confined to lymph nodes.

As noted above, median overall survival for all patients was 16.4 months. The ORR was 15.9%, and the disease control rate (a combination of complete and partial responses plus stable disease) was 25%. The median progression-free survival was 2.7 months (vs 2 months in Keynote-086).

In all, 39 of the 44 patients had treatment-related adverse events, with the most common being nausea, back pain, chills, fatigue, diarrhea, arthralgia, and headache. Four patients had grade 3 or 4 events, which included an infusion-related reaction, hyperglycemia, pericarditis, and pancreatitis.

Infusion-related reactions were seen in 27 patients, but only one of these reactions was grade 3 or 4.

The most common immune-mediated events were grade 1 or 2 thyroid dysfunction, which is commonly seen with PD-1 inhibitors, and there were single low-grade events of pancreatitis, pneumonitis, and pericarditis “most likely related to PD-1 inhibitor therapy,” O’Day said.

Translational data showed that innate and adaptive immunity in peripheral blood correlates with clinical benefit, with longer overall survival among patients with either monocyte activation (P = .0045) or T-cell activation (P = .012) compared with patients without activation of those components.

Taken together, the findings suggest that larger controlled studies of the combination are warranted, O’Day said.

The study was sponsored by Biothera and Merck. O’Day disclosed advisory board activities and research funding from both companies and others, and consulting for Biothera. Park disclosed royalties and consulting activities from several companies, not including the Imprime 1 sponsors.
 

This article first appeared on Medscape.com.

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Excess cancer deaths predicted as care is disrupted by COVID-19

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Thu, 12/15/2022 - 17:36

The majority of patients who have cancer or are suspected of having cancer are not accessing healthcare services in the United Kingdom or the United States because of the COVID-19 pandemic, the first report of its kind estimates.

As a result, there will be an excess of deaths among patients who have cancer and multiple comorbidities in both countries during the current coronavirus emergency, the report warns.

The authors calculate that there will be 6,270 excess deaths among cancer patients 1 year from now in England and 33,890 excess deaths among cancer patients in the United States. (In the United States, the estimated excess number of deaths applies only to patients older than 40 years, they note.)

“The recorded underlying cause of these excess deaths may be cancer, COVID-19, or comorbidity (such as myocardial infarction),” Alvina Lai, PhD, University College London, United Kingdom, and colleagues observe.

“Our data have highlighted how cancer patients with multimorbidity are a particularly at-risk group during the current pandemic,” they emphasize.

The study was published on ResearchGate as a preprint and has not undergone peer review.

Commenting on the study on the UK Science Media Center, several experts emphasized the lack of peer review, noting that interpretation of these data needs to be further refined on the basis of that input. One expert suggested that there are “substantial uncertainties that this paper does not adequately communicate.” But others argued that this topic was important enough to warrant early release of the data.

Chris Bunce, PhD, University of Birmingham, United Kingdom, said this study represents “a highly valuable contribution.”

“It is universally accepted that early diagnosis and treatment and adherence to treatment regimens saves lives,” he pointed out.

“Therefore, these COVID-19-related impacts will cost lives,” Bunce said.

“And if this information is to influence cancer care and guide policy during the COVID-19 crisis, then it is important that the findings are disseminated and discussed immediately, warranting their release ahead of peer view,” he added.

In a Medscape UK commentary, oncologist Karol Sikora, MD, PhD, argues that “restarting cancer services can’t come soon enough.”
 

“Resonably Argued Numerical Estimate”

“It’s well known that there have been considerable changes in the provision of health care for many conditions, including cancers, as a result of all the measures to deal with the COVID-19 crisis,” said Kevin McConway, PhD, professor emeritus of applied statistics, the Open University, Milton Keynes, United Kingdom.

“It seems inevitable that there will be increased deaths in cancer patients if they are infected with the virus or because of changes in the health services available to them, and quite possibly also from socio-economic effects of the responses to the crisis,” he continued.

“This study is the first that I have seen that produces a reasonably argued numerical estimate of the number of excess deaths of people with cancer arising from these factors in the UK and the USA,” he added.

Declines in Urgent Referrals and Chemo Attendance

For the study, the team used DATA-CAN, the UK National Health Data Research Hub for Cancer, to assess weekly returns for urgent cancer referrals for early diagnosis and also chemotherapy attendances for hospitals in Leeds, London, and Northern Ireland going back to 2018.

The data revealed that there have been major declines in chemotherapy attendances. There has been, on average, a 60% decrease from prepandemic levels in eight hospitals in the three regions that were assessed.

Urgent cancer referrals have dropped by an average of 76% compared to prepandemic levels in the three regions.

On the conservative assumption that the COVID-19 pandemic will only affect patients with newly diagnosed cancer (incident cases), the researchers estimate that the proportion of the population affected by the emergency (PAE) is 40% and that the relative impact of the emergency (RIE) is 1.5.

PAE is a summary measure of exposure to the adverse health consequences of the emergency; RIE is a summary measure of the combined impact on mortality of infection, health service change, physical distancing, and economic downturn, the authors explain.

Comorbidities Common

“Comorbidities were common in people with cancer,” the study authors note. For example, more than one quarter of the study population had at least one comorbidity; more than 14% had two.

For incident cancers, the number of excess deaths steadily increased in conjunction with an increase in the number of comorbidities, such that more than 80% of deaths occurred in patients with one or more comorbidities.

“When considering both prevalent and incident cancers together with a COVID-19 PAE of 40%, we estimated 17,991 excess deaths at a RIE of 1.5; 78.1% of these deaths occur in patients with ≥1 comorbidities,” the authors report.

“The excess risk of death in people living with cancer during the COVID-19 emergency may be due not only to COVID-19 infection, but also to the unintended health consequences of changes in health service provision, the physical or psychological effects of social distancing, and economic upheaval,” they state.

“This is the first study demonstrating profound recent changes in cancer care delivery in multiple centers,” the authors observe.

Lai has disclosed no relevant financial relationships. Several coauthors have various relationships with industry, as listed in their article. The commentators have disclosed no relevant financial relationships.
 

This article first appeared on Medscape.com.

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The majority of patients who have cancer or are suspected of having cancer are not accessing healthcare services in the United Kingdom or the United States because of the COVID-19 pandemic, the first report of its kind estimates.

As a result, there will be an excess of deaths among patients who have cancer and multiple comorbidities in both countries during the current coronavirus emergency, the report warns.

The authors calculate that there will be 6,270 excess deaths among cancer patients 1 year from now in England and 33,890 excess deaths among cancer patients in the United States. (In the United States, the estimated excess number of deaths applies only to patients older than 40 years, they note.)

“The recorded underlying cause of these excess deaths may be cancer, COVID-19, or comorbidity (such as myocardial infarction),” Alvina Lai, PhD, University College London, United Kingdom, and colleagues observe.

“Our data have highlighted how cancer patients with multimorbidity are a particularly at-risk group during the current pandemic,” they emphasize.

The study was published on ResearchGate as a preprint and has not undergone peer review.

Commenting on the study on the UK Science Media Center, several experts emphasized the lack of peer review, noting that interpretation of these data needs to be further refined on the basis of that input. One expert suggested that there are “substantial uncertainties that this paper does not adequately communicate.” But others argued that this topic was important enough to warrant early release of the data.

Chris Bunce, PhD, University of Birmingham, United Kingdom, said this study represents “a highly valuable contribution.”

“It is universally accepted that early diagnosis and treatment and adherence to treatment regimens saves lives,” he pointed out.

“Therefore, these COVID-19-related impacts will cost lives,” Bunce said.

“And if this information is to influence cancer care and guide policy during the COVID-19 crisis, then it is important that the findings are disseminated and discussed immediately, warranting their release ahead of peer view,” he added.

In a Medscape UK commentary, oncologist Karol Sikora, MD, PhD, argues that “restarting cancer services can’t come soon enough.”
 

“Resonably Argued Numerical Estimate”

“It’s well known that there have been considerable changes in the provision of health care for many conditions, including cancers, as a result of all the measures to deal with the COVID-19 crisis,” said Kevin McConway, PhD, professor emeritus of applied statistics, the Open University, Milton Keynes, United Kingdom.

“It seems inevitable that there will be increased deaths in cancer patients if they are infected with the virus or because of changes in the health services available to them, and quite possibly also from socio-economic effects of the responses to the crisis,” he continued.

“This study is the first that I have seen that produces a reasonably argued numerical estimate of the number of excess deaths of people with cancer arising from these factors in the UK and the USA,” he added.

Declines in Urgent Referrals and Chemo Attendance

For the study, the team used DATA-CAN, the UK National Health Data Research Hub for Cancer, to assess weekly returns for urgent cancer referrals for early diagnosis and also chemotherapy attendances for hospitals in Leeds, London, and Northern Ireland going back to 2018.

The data revealed that there have been major declines in chemotherapy attendances. There has been, on average, a 60% decrease from prepandemic levels in eight hospitals in the three regions that were assessed.

Urgent cancer referrals have dropped by an average of 76% compared to prepandemic levels in the three regions.

On the conservative assumption that the COVID-19 pandemic will only affect patients with newly diagnosed cancer (incident cases), the researchers estimate that the proportion of the population affected by the emergency (PAE) is 40% and that the relative impact of the emergency (RIE) is 1.5.

PAE is a summary measure of exposure to the adverse health consequences of the emergency; RIE is a summary measure of the combined impact on mortality of infection, health service change, physical distancing, and economic downturn, the authors explain.

Comorbidities Common

“Comorbidities were common in people with cancer,” the study authors note. For example, more than one quarter of the study population had at least one comorbidity; more than 14% had two.

For incident cancers, the number of excess deaths steadily increased in conjunction with an increase in the number of comorbidities, such that more than 80% of deaths occurred in patients with one or more comorbidities.

“When considering both prevalent and incident cancers together with a COVID-19 PAE of 40%, we estimated 17,991 excess deaths at a RIE of 1.5; 78.1% of these deaths occur in patients with ≥1 comorbidities,” the authors report.

“The excess risk of death in people living with cancer during the COVID-19 emergency may be due not only to COVID-19 infection, but also to the unintended health consequences of changes in health service provision, the physical or psychological effects of social distancing, and economic upheaval,” they state.

“This is the first study demonstrating profound recent changes in cancer care delivery in multiple centers,” the authors observe.

Lai has disclosed no relevant financial relationships. Several coauthors have various relationships with industry, as listed in their article. The commentators have disclosed no relevant financial relationships.
 

This article first appeared on Medscape.com.

The majority of patients who have cancer or are suspected of having cancer are not accessing healthcare services in the United Kingdom or the United States because of the COVID-19 pandemic, the first report of its kind estimates.

As a result, there will be an excess of deaths among patients who have cancer and multiple comorbidities in both countries during the current coronavirus emergency, the report warns.

The authors calculate that there will be 6,270 excess deaths among cancer patients 1 year from now in England and 33,890 excess deaths among cancer patients in the United States. (In the United States, the estimated excess number of deaths applies only to patients older than 40 years, they note.)

“The recorded underlying cause of these excess deaths may be cancer, COVID-19, or comorbidity (such as myocardial infarction),” Alvina Lai, PhD, University College London, United Kingdom, and colleagues observe.

“Our data have highlighted how cancer patients with multimorbidity are a particularly at-risk group during the current pandemic,” they emphasize.

The study was published on ResearchGate as a preprint and has not undergone peer review.

Commenting on the study on the UK Science Media Center, several experts emphasized the lack of peer review, noting that interpretation of these data needs to be further refined on the basis of that input. One expert suggested that there are “substantial uncertainties that this paper does not adequately communicate.” But others argued that this topic was important enough to warrant early release of the data.

Chris Bunce, PhD, University of Birmingham, United Kingdom, said this study represents “a highly valuable contribution.”

“It is universally accepted that early diagnosis and treatment and adherence to treatment regimens saves lives,” he pointed out.

“Therefore, these COVID-19-related impacts will cost lives,” Bunce said.

“And if this information is to influence cancer care and guide policy during the COVID-19 crisis, then it is important that the findings are disseminated and discussed immediately, warranting their release ahead of peer view,” he added.

In a Medscape UK commentary, oncologist Karol Sikora, MD, PhD, argues that “restarting cancer services can’t come soon enough.”
 

“Resonably Argued Numerical Estimate”

“It’s well known that there have been considerable changes in the provision of health care for many conditions, including cancers, as a result of all the measures to deal with the COVID-19 crisis,” said Kevin McConway, PhD, professor emeritus of applied statistics, the Open University, Milton Keynes, United Kingdom.

“It seems inevitable that there will be increased deaths in cancer patients if they are infected with the virus or because of changes in the health services available to them, and quite possibly also from socio-economic effects of the responses to the crisis,” he continued.

“This study is the first that I have seen that produces a reasonably argued numerical estimate of the number of excess deaths of people with cancer arising from these factors in the UK and the USA,” he added.

Declines in Urgent Referrals and Chemo Attendance

For the study, the team used DATA-CAN, the UK National Health Data Research Hub for Cancer, to assess weekly returns for urgent cancer referrals for early diagnosis and also chemotherapy attendances for hospitals in Leeds, London, and Northern Ireland going back to 2018.

The data revealed that there have been major declines in chemotherapy attendances. There has been, on average, a 60% decrease from prepandemic levels in eight hospitals in the three regions that were assessed.

Urgent cancer referrals have dropped by an average of 76% compared to prepandemic levels in the three regions.

On the conservative assumption that the COVID-19 pandemic will only affect patients with newly diagnosed cancer (incident cases), the researchers estimate that the proportion of the population affected by the emergency (PAE) is 40% and that the relative impact of the emergency (RIE) is 1.5.

PAE is a summary measure of exposure to the adverse health consequences of the emergency; RIE is a summary measure of the combined impact on mortality of infection, health service change, physical distancing, and economic downturn, the authors explain.

Comorbidities Common

“Comorbidities were common in people with cancer,” the study authors note. For example, more than one quarter of the study population had at least one comorbidity; more than 14% had two.

For incident cancers, the number of excess deaths steadily increased in conjunction with an increase in the number of comorbidities, such that more than 80% of deaths occurred in patients with one or more comorbidities.

“When considering both prevalent and incident cancers together with a COVID-19 PAE of 40%, we estimated 17,991 excess deaths at a RIE of 1.5; 78.1% of these deaths occur in patients with ≥1 comorbidities,” the authors report.

“The excess risk of death in people living with cancer during the COVID-19 emergency may be due not only to COVID-19 infection, but also to the unintended health consequences of changes in health service provision, the physical or psychological effects of social distancing, and economic upheaval,” they state.

“This is the first study demonstrating profound recent changes in cancer care delivery in multiple centers,” the authors observe.

Lai has disclosed no relevant financial relationships. Several coauthors have various relationships with industry, as listed in their article. The commentators have disclosed no relevant financial relationships.
 

This article first appeared on Medscape.com.

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Antitumor treatment may increase risk of severe events in COVID-19 patients

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Changed
Wed, 01/04/2023 - 16:42

Cancer patients who received antitumor treatment within 14 days of COVID-19 diagnosis had an increased risk of severe events, according to data from three hospitals in Wuhan.

Patients with patchy consolidation at hospital admission also had an increased risk of severe events, defined as ICU admission, mechanical ventilation, or death.

However, these findings are limited by the small number of patients studied and the retrospective nature of the analysis, according to researchers.

Li Zhang, MD, PhD, of Tongji Hospital in Wuhan, China, presented this research at the AACR virtual meeting I. Some of the data were previously published in Annals of Oncology.

The researchers studied 28 patients with cancer among 1,276 patients with COVID-19 treated at three hospitals in Wuhan. The most common cancer types were lung (n = 7), esophageal (n = 4), and breast (n = 3). Patients had other gastrointestinal, gynecologic, genitourinary, and head and neck cancers as well.

The patients’ median age was 65 years (range, 56-70 years), 60.9% were men, 35.7% had stage IV cancer, and 28.6% had hospital-acquired COVID-19. Antitumor treatments included chemotherapy (n = 22), surgery (n = 21), radiotherapy (n = 21), targeted therapy (n = 5), and immune checkpoint inhibitors (n = 2).
 

COVID-19 treatment

Most patients (n = 22) received oxygen as their only respiratory intervention, although 10 received mechanical ventilation.

For systemic therapy, patients received antibiotic treatment (n = 23), corticosteroids (n = 15), intravenous immunoglobulin (n = 10), and tocilizumab (n = 1).

Antiviral treatments included umifenovir (n = 14), lopinavir/ritonavir (n = 10), ganciclovir (n = 9), ribavirin (n = 1), or a combination of antiviral drugs (n = 9).

“No cancer patients were enrolled in clinical trials, so no one received hydroxychloroquine or remdesivir,” Dr. Zhang noted.
 

Outcomes

In all, 15 patients (53.6%) had severe events. The median time from COVID-19 diagnosis to severe events was 7 days (range, 5-15 days).

A total of eight patients (28.6%) died – three with lung cancer, two with prostate cancer, one with liver cancer, one with rectal cancer, and one with testicular cancer.

Causes of death were acute respiratory distress syndrome (n = 5), septic shock (n = 1), suspected pulmonary embolism (n = 1), and acute myocardial infarction (n = 1).

By April 4, 14 patients had been discharged from the hospital, and 6 were still hospitalized. The median duration of hospitalization was 18.4 days for discharged patients and 29.4 days for patients still in hospital.

Follow-up CT scans showed improvement in 13 patients, no changes in 5 patients, and deterioration in 6 patients.
 

Factors associated with severe events

In a multivariable analysis, receiving antitumor treatment within 14 days of COVID-19 diagnosis was associated with severe events (hazard ratio, 4.079; P = .037).

However, only seven patients received antitumor treatments within 14 days of COVID-19 diagnosis – three chemotherapy, two targeted therapy, one radiotherapy, and one immune checkpoint inhibitor. Five of these seven patients had severe events.

Another factor associated with severe events in multivariable analysis was patchy consolidation on CT scan at admission (HR, 5.438; P = .01). Age and gender were not significantly associated with severe events.
 

Immune checkpoint inhibitors

Dr. Zhang and colleagues also analyzed a second group of cancer patients and their family members to determine if patients on immune checkpoint inhibitors have an increased risk of COVID-19.

This group included 124 cancer patients treated with immune checkpoint inhibitors for at least 2 months. The patients had a median age of 59 years (range, 54-65 years), and 61.8% were men. Most patients (95.2%) had stage IV cancer, and the most common cancers were lung (54.0%), esophageal (18.6%), and head and neck (10.7%).

In this group, only one cancer patient developed COVID-19 (via nosocomial infection). In another case, a patient’s spouse developed COVID-19, but the patient did not.

Dr. Zhang said this “limited information did not suggest cancer patients treated with immune checkpoint inhibitors were more vulnerable to COVID infection.”

Dr. Zhang and colleagues reported no conflicts of interest. This research was funded by the National Natural Science Foundation of China and Huazhong University of Science and Technology COVID-19 Rapid Response Call China.

SOURCE: Zhang L et al. Ann Oncol. 2020 Mar 26. doi: 10.1016/j.annonc.2020.03.296.

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Cancer patients who received antitumor treatment within 14 days of COVID-19 diagnosis had an increased risk of severe events, according to data from three hospitals in Wuhan.

Patients with patchy consolidation at hospital admission also had an increased risk of severe events, defined as ICU admission, mechanical ventilation, or death.

However, these findings are limited by the small number of patients studied and the retrospective nature of the analysis, according to researchers.

Li Zhang, MD, PhD, of Tongji Hospital in Wuhan, China, presented this research at the AACR virtual meeting I. Some of the data were previously published in Annals of Oncology.

The researchers studied 28 patients with cancer among 1,276 patients with COVID-19 treated at three hospitals in Wuhan. The most common cancer types were lung (n = 7), esophageal (n = 4), and breast (n = 3). Patients had other gastrointestinal, gynecologic, genitourinary, and head and neck cancers as well.

The patients’ median age was 65 years (range, 56-70 years), 60.9% were men, 35.7% had stage IV cancer, and 28.6% had hospital-acquired COVID-19. Antitumor treatments included chemotherapy (n = 22), surgery (n = 21), radiotherapy (n = 21), targeted therapy (n = 5), and immune checkpoint inhibitors (n = 2).
 

COVID-19 treatment

Most patients (n = 22) received oxygen as their only respiratory intervention, although 10 received mechanical ventilation.

For systemic therapy, patients received antibiotic treatment (n = 23), corticosteroids (n = 15), intravenous immunoglobulin (n = 10), and tocilizumab (n = 1).

Antiviral treatments included umifenovir (n = 14), lopinavir/ritonavir (n = 10), ganciclovir (n = 9), ribavirin (n = 1), or a combination of antiviral drugs (n = 9).

“No cancer patients were enrolled in clinical trials, so no one received hydroxychloroquine or remdesivir,” Dr. Zhang noted.
 

Outcomes

In all, 15 patients (53.6%) had severe events. The median time from COVID-19 diagnosis to severe events was 7 days (range, 5-15 days).

A total of eight patients (28.6%) died – three with lung cancer, two with prostate cancer, one with liver cancer, one with rectal cancer, and one with testicular cancer.

Causes of death were acute respiratory distress syndrome (n = 5), septic shock (n = 1), suspected pulmonary embolism (n = 1), and acute myocardial infarction (n = 1).

By April 4, 14 patients had been discharged from the hospital, and 6 were still hospitalized. The median duration of hospitalization was 18.4 days for discharged patients and 29.4 days for patients still in hospital.

Follow-up CT scans showed improvement in 13 patients, no changes in 5 patients, and deterioration in 6 patients.
 

Factors associated with severe events

In a multivariable analysis, receiving antitumor treatment within 14 days of COVID-19 diagnosis was associated with severe events (hazard ratio, 4.079; P = .037).

However, only seven patients received antitumor treatments within 14 days of COVID-19 diagnosis – three chemotherapy, two targeted therapy, one radiotherapy, and one immune checkpoint inhibitor. Five of these seven patients had severe events.

Another factor associated with severe events in multivariable analysis was patchy consolidation on CT scan at admission (HR, 5.438; P = .01). Age and gender were not significantly associated with severe events.
 

Immune checkpoint inhibitors

Dr. Zhang and colleagues also analyzed a second group of cancer patients and their family members to determine if patients on immune checkpoint inhibitors have an increased risk of COVID-19.

This group included 124 cancer patients treated with immune checkpoint inhibitors for at least 2 months. The patients had a median age of 59 years (range, 54-65 years), and 61.8% were men. Most patients (95.2%) had stage IV cancer, and the most common cancers were lung (54.0%), esophageal (18.6%), and head and neck (10.7%).

In this group, only one cancer patient developed COVID-19 (via nosocomial infection). In another case, a patient’s spouse developed COVID-19, but the patient did not.

Dr. Zhang said this “limited information did not suggest cancer patients treated with immune checkpoint inhibitors were more vulnerable to COVID infection.”

Dr. Zhang and colleagues reported no conflicts of interest. This research was funded by the National Natural Science Foundation of China and Huazhong University of Science and Technology COVID-19 Rapid Response Call China.

SOURCE: Zhang L et al. Ann Oncol. 2020 Mar 26. doi: 10.1016/j.annonc.2020.03.296.

Cancer patients who received antitumor treatment within 14 days of COVID-19 diagnosis had an increased risk of severe events, according to data from three hospitals in Wuhan.

Patients with patchy consolidation at hospital admission also had an increased risk of severe events, defined as ICU admission, mechanical ventilation, or death.

However, these findings are limited by the small number of patients studied and the retrospective nature of the analysis, according to researchers.

Li Zhang, MD, PhD, of Tongji Hospital in Wuhan, China, presented this research at the AACR virtual meeting I. Some of the data were previously published in Annals of Oncology.

The researchers studied 28 patients with cancer among 1,276 patients with COVID-19 treated at three hospitals in Wuhan. The most common cancer types were lung (n = 7), esophageal (n = 4), and breast (n = 3). Patients had other gastrointestinal, gynecologic, genitourinary, and head and neck cancers as well.

The patients’ median age was 65 years (range, 56-70 years), 60.9% were men, 35.7% had stage IV cancer, and 28.6% had hospital-acquired COVID-19. Antitumor treatments included chemotherapy (n = 22), surgery (n = 21), radiotherapy (n = 21), targeted therapy (n = 5), and immune checkpoint inhibitors (n = 2).
 

COVID-19 treatment

Most patients (n = 22) received oxygen as their only respiratory intervention, although 10 received mechanical ventilation.

For systemic therapy, patients received antibiotic treatment (n = 23), corticosteroids (n = 15), intravenous immunoglobulin (n = 10), and tocilizumab (n = 1).

Antiviral treatments included umifenovir (n = 14), lopinavir/ritonavir (n = 10), ganciclovir (n = 9), ribavirin (n = 1), or a combination of antiviral drugs (n = 9).

“No cancer patients were enrolled in clinical trials, so no one received hydroxychloroquine or remdesivir,” Dr. Zhang noted.
 

Outcomes

In all, 15 patients (53.6%) had severe events. The median time from COVID-19 diagnosis to severe events was 7 days (range, 5-15 days).

A total of eight patients (28.6%) died – three with lung cancer, two with prostate cancer, one with liver cancer, one with rectal cancer, and one with testicular cancer.

Causes of death were acute respiratory distress syndrome (n = 5), septic shock (n = 1), suspected pulmonary embolism (n = 1), and acute myocardial infarction (n = 1).

By April 4, 14 patients had been discharged from the hospital, and 6 were still hospitalized. The median duration of hospitalization was 18.4 days for discharged patients and 29.4 days for patients still in hospital.

Follow-up CT scans showed improvement in 13 patients, no changes in 5 patients, and deterioration in 6 patients.
 

Factors associated with severe events

In a multivariable analysis, receiving antitumor treatment within 14 days of COVID-19 diagnosis was associated with severe events (hazard ratio, 4.079; P = .037).

However, only seven patients received antitumor treatments within 14 days of COVID-19 diagnosis – three chemotherapy, two targeted therapy, one radiotherapy, and one immune checkpoint inhibitor. Five of these seven patients had severe events.

Another factor associated with severe events in multivariable analysis was patchy consolidation on CT scan at admission (HR, 5.438; P = .01). Age and gender were not significantly associated with severe events.
 

Immune checkpoint inhibitors

Dr. Zhang and colleagues also analyzed a second group of cancer patients and their family members to determine if patients on immune checkpoint inhibitors have an increased risk of COVID-19.

This group included 124 cancer patients treated with immune checkpoint inhibitors for at least 2 months. The patients had a median age of 59 years (range, 54-65 years), and 61.8% were men. Most patients (95.2%) had stage IV cancer, and the most common cancers were lung (54.0%), esophageal (18.6%), and head and neck (10.7%).

In this group, only one cancer patient developed COVID-19 (via nosocomial infection). In another case, a patient’s spouse developed COVID-19, but the patient did not.

Dr. Zhang said this “limited information did not suggest cancer patients treated with immune checkpoint inhibitors were more vulnerable to COVID infection.”

Dr. Zhang and colleagues reported no conflicts of interest. This research was funded by the National Natural Science Foundation of China and Huazhong University of Science and Technology COVID-19 Rapid Response Call China.

SOURCE: Zhang L et al. Ann Oncol. 2020 Mar 26. doi: 10.1016/j.annonc.2020.03.296.

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EMBRACA shows no overall survival benefit with talazoparib

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Talazoparib did not confer an overall survival benefit over chemotherapy in patients with germline BRCA1/2-mutated HER2-negative advanced breast cancer, according to a final analysis of the phase 3 EMBRACA trial.

The progression-free survival benefit previously seen with talazoparib did not translate to an overall survival benefit. However, patient-reported quality of life continued to favor talazoparib in the final analysis, Jennifer K. Litton, MD, of the University of Texas MD Anderson Cancer Center in Houston, reported at the AACR virtual meeting I.

The EMBRACA trial enrolled adults with HER2-negative locally advanced or metastatic breast cancer and a deleterious or suspected deleterious germline BRCA mutation. They were randomized to talazoparib at 1 mg daily (n = 287) or to physician’s choice of single-agent chemotherapy (n = 144).

In the primary analysis, talazoparib was associated with significantly improved progression-free survival. The median progression-free survival was 8.6 months in the talazoparib arm and 5.6 months in the chemotherapy arm (hazard ratio, 0.54).

“At the time of the primary analysis, the overall survival data were immature, and the hazard ratio for the interim overall survival was 0.761, which was not statistically significant,” Dr. Litton said.


However, patient-reported outcomes favored talazoparib in the primary analysis, with patients in that arm showing “significant overall improvements with a significant delay in time to clinically meaningful deterioration in multiple cancer-related and breast cancer–specific symptoms, functions, quality of life, and global health,” Dr. Litton said.
 

Final overall survival

At the final analysis, the median follow-up was 44.9 months for the talazoparib arm and 36.8 months for the chemotherapy arm.

The median overall survival was 19.3 months in the talazoparib arm and 19.5 months in the chemotherapy arm (HR, 0.848; P = .17)

The results were “generally consistent” across patient subgroups,” Dr. Litton said, adding that “the effect of treatment with talazoparib was also similar irrespective of BRCA status, as well as triple-negative or hormone-receptor-positive subtypes.”

Of note, most patients received poststudy therapies. These included PARP inhibitors in 4.5% of patients in the talazoparib arm and 32.6% of patients in the chemotherapy arm, and platinum drugs in 46.3% and 41.7%, respectively.

Patients who received chemotherapy on study but did not receive a subsequent PARP inhibitor or platinum therapy had both shorter total treatment duration and shorter overall survival, compared with patients who did receive subsequent treatment.

In the talazoparib arm, outcomes were similar whether or not patients received a subsequent PARP inhibitor or platinum therapy.

“Interpretation of the overall survival results may have been confounded by subsequent treatment, so two sensitivity analyses accounting for subsequent PARP inhibition or platinum therapy were carried out,” Dr. Litton said.

She noted that adjustment for poststudy treatment lowered the hazard ratio, but there was still no significant difference between the talazoparib and chemotherapy arms. These results suggest “the primary overall survival analysis underestimated the treatment benefit of talazoparib,” Dr. Litton said. She also noted that a longer platinum-free interval prior to study entry was generally associated with a longer duration of survival, particularly in the talazoparib arm.
 

 

 

Quality of life and safety

Patient-reported outcomes continued to favor talazoparib with extended follow-up and were consistent with the initial analysis, Dr. Litton noted.

The updated analysis revealed “a significant improvement in estimated overall change from baseline in the global health quality of life scores for those patients receiving talazoparib, while a significant deterioration was observed in patients receiving chemotherapy,” she said.

The estimated overall change in score was a 2.1-point increase in the talazoparib arm and a 5.7-point decrease in the chemotherapy arm (P = .001). The median time to clinically meaningful deterioration in global health quality of life scores was 26.3 months in the talazoparib arm and 6.7 months in the chemotherapy arm (HR, 0.385).

At the final analysis, the overall safety profile was consistent with that reported previously. Talazoparib was generally well tolerated, and no new safety signals were identified.

Grade 3/4 serious adverse events occurred in 28.3% of patients in the talazoparib arm and 27% of those in the chemotherapy arm. Adverse events led to treatment discontinuation in 7.7% and 9.5% of patients, respectively.

Most grade 3/4 adverse events were hematologic, and most were successfully managed by supportive care, including transfusions and dose modifications, Dr. Litton said.

She noted that one patient in the chemotherapy arm assigned to receive capecitabine had been diagnosed with acute myeloid leukemia at the time of the first analysis. “And now we report an additional case of [acute myeloid leukemia] in a patient who was randomized to the talazoparib arm,” Dr. Litton said.
 

Jury’s still out

Based on existing data, including from EMBRACA, the jury is still out on whether PARP inhibition is associated with an overall survival benefit in this setting, said invited discussant Susan Domcheck, MD, of the University of Pennsylvania in Philadelphia.

She suggested that could change with ongoing efforts to identify biomarkers for treatment response and new approaches to treatment, such as earlier lines of therapy and combinations.

“At this time, germline BRCA 1 and 2 pathogenic variants are the best predictor of PARP inhibitor sensitivity in breast cancer,” Dr. Domcheck said. “Not all the tumors are sensitive, but this is true of [estrogen receptor–positive] breast cancer and hormonal therapy, and HER2-positive breast cancer as well.”

Studies investigating approaches to improve survival are “incredibly important, because the progression-free survival is not as long as we would like it to be and there’s not an overwhelming overall survival benefit, for sure,” she said.

The EMBRACA trial was funded by Medivation (Pfizer). Dr. Litton and colleagues disclosed numerous relationships with pharmaceutical companies and other organizations. Dr. Domcheck disclosed relationships with AstraZeneca, Clovis, and Bristol Myers Squibb.

SOURCE: Litton J et al., AACR 20, Abstract CT071.

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Talazoparib did not confer an overall survival benefit over chemotherapy in patients with germline BRCA1/2-mutated HER2-negative advanced breast cancer, according to a final analysis of the phase 3 EMBRACA trial.

The progression-free survival benefit previously seen with talazoparib did not translate to an overall survival benefit. However, patient-reported quality of life continued to favor talazoparib in the final analysis, Jennifer K. Litton, MD, of the University of Texas MD Anderson Cancer Center in Houston, reported at the AACR virtual meeting I.

The EMBRACA trial enrolled adults with HER2-negative locally advanced or metastatic breast cancer and a deleterious or suspected deleterious germline BRCA mutation. They were randomized to talazoparib at 1 mg daily (n = 287) or to physician’s choice of single-agent chemotherapy (n = 144).

In the primary analysis, talazoparib was associated with significantly improved progression-free survival. The median progression-free survival was 8.6 months in the talazoparib arm and 5.6 months in the chemotherapy arm (hazard ratio, 0.54).

“At the time of the primary analysis, the overall survival data were immature, and the hazard ratio for the interim overall survival was 0.761, which was not statistically significant,” Dr. Litton said.


However, patient-reported outcomes favored talazoparib in the primary analysis, with patients in that arm showing “significant overall improvements with a significant delay in time to clinically meaningful deterioration in multiple cancer-related and breast cancer–specific symptoms, functions, quality of life, and global health,” Dr. Litton said.
 

Final overall survival

At the final analysis, the median follow-up was 44.9 months for the talazoparib arm and 36.8 months for the chemotherapy arm.

The median overall survival was 19.3 months in the talazoparib arm and 19.5 months in the chemotherapy arm (HR, 0.848; P = .17)

The results were “generally consistent” across patient subgroups,” Dr. Litton said, adding that “the effect of treatment with talazoparib was also similar irrespective of BRCA status, as well as triple-negative or hormone-receptor-positive subtypes.”

Of note, most patients received poststudy therapies. These included PARP inhibitors in 4.5% of patients in the talazoparib arm and 32.6% of patients in the chemotherapy arm, and platinum drugs in 46.3% and 41.7%, respectively.

Patients who received chemotherapy on study but did not receive a subsequent PARP inhibitor or platinum therapy had both shorter total treatment duration and shorter overall survival, compared with patients who did receive subsequent treatment.

In the talazoparib arm, outcomes were similar whether or not patients received a subsequent PARP inhibitor or platinum therapy.

“Interpretation of the overall survival results may have been confounded by subsequent treatment, so two sensitivity analyses accounting for subsequent PARP inhibition or platinum therapy were carried out,” Dr. Litton said.

She noted that adjustment for poststudy treatment lowered the hazard ratio, but there was still no significant difference between the talazoparib and chemotherapy arms. These results suggest “the primary overall survival analysis underestimated the treatment benefit of talazoparib,” Dr. Litton said. She also noted that a longer platinum-free interval prior to study entry was generally associated with a longer duration of survival, particularly in the talazoparib arm.
 

 

 

Quality of life and safety

Patient-reported outcomes continued to favor talazoparib with extended follow-up and were consistent with the initial analysis, Dr. Litton noted.

The updated analysis revealed “a significant improvement in estimated overall change from baseline in the global health quality of life scores for those patients receiving talazoparib, while a significant deterioration was observed in patients receiving chemotherapy,” she said.

The estimated overall change in score was a 2.1-point increase in the talazoparib arm and a 5.7-point decrease in the chemotherapy arm (P = .001). The median time to clinically meaningful deterioration in global health quality of life scores was 26.3 months in the talazoparib arm and 6.7 months in the chemotherapy arm (HR, 0.385).

At the final analysis, the overall safety profile was consistent with that reported previously. Talazoparib was generally well tolerated, and no new safety signals were identified.

Grade 3/4 serious adverse events occurred in 28.3% of patients in the talazoparib arm and 27% of those in the chemotherapy arm. Adverse events led to treatment discontinuation in 7.7% and 9.5% of patients, respectively.

Most grade 3/4 adverse events were hematologic, and most were successfully managed by supportive care, including transfusions and dose modifications, Dr. Litton said.

She noted that one patient in the chemotherapy arm assigned to receive capecitabine had been diagnosed with acute myeloid leukemia at the time of the first analysis. “And now we report an additional case of [acute myeloid leukemia] in a patient who was randomized to the talazoparib arm,” Dr. Litton said.
 

Jury’s still out

Based on existing data, including from EMBRACA, the jury is still out on whether PARP inhibition is associated with an overall survival benefit in this setting, said invited discussant Susan Domcheck, MD, of the University of Pennsylvania in Philadelphia.

She suggested that could change with ongoing efforts to identify biomarkers for treatment response and new approaches to treatment, such as earlier lines of therapy and combinations.

“At this time, germline BRCA 1 and 2 pathogenic variants are the best predictor of PARP inhibitor sensitivity in breast cancer,” Dr. Domcheck said. “Not all the tumors are sensitive, but this is true of [estrogen receptor–positive] breast cancer and hormonal therapy, and HER2-positive breast cancer as well.”

Studies investigating approaches to improve survival are “incredibly important, because the progression-free survival is not as long as we would like it to be and there’s not an overwhelming overall survival benefit, for sure,” she said.

The EMBRACA trial was funded by Medivation (Pfizer). Dr. Litton and colleagues disclosed numerous relationships with pharmaceutical companies and other organizations. Dr. Domcheck disclosed relationships with AstraZeneca, Clovis, and Bristol Myers Squibb.

SOURCE: Litton J et al., AACR 20, Abstract CT071.

 

Talazoparib did not confer an overall survival benefit over chemotherapy in patients with germline BRCA1/2-mutated HER2-negative advanced breast cancer, according to a final analysis of the phase 3 EMBRACA trial.

The progression-free survival benefit previously seen with talazoparib did not translate to an overall survival benefit. However, patient-reported quality of life continued to favor talazoparib in the final analysis, Jennifer K. Litton, MD, of the University of Texas MD Anderson Cancer Center in Houston, reported at the AACR virtual meeting I.

The EMBRACA trial enrolled adults with HER2-negative locally advanced or metastatic breast cancer and a deleterious or suspected deleterious germline BRCA mutation. They were randomized to talazoparib at 1 mg daily (n = 287) or to physician’s choice of single-agent chemotherapy (n = 144).

In the primary analysis, talazoparib was associated with significantly improved progression-free survival. The median progression-free survival was 8.6 months in the talazoparib arm and 5.6 months in the chemotherapy arm (hazard ratio, 0.54).

“At the time of the primary analysis, the overall survival data were immature, and the hazard ratio for the interim overall survival was 0.761, which was not statistically significant,” Dr. Litton said.


However, patient-reported outcomes favored talazoparib in the primary analysis, with patients in that arm showing “significant overall improvements with a significant delay in time to clinically meaningful deterioration in multiple cancer-related and breast cancer–specific symptoms, functions, quality of life, and global health,” Dr. Litton said.
 

Final overall survival

At the final analysis, the median follow-up was 44.9 months for the talazoparib arm and 36.8 months for the chemotherapy arm.

The median overall survival was 19.3 months in the talazoparib arm and 19.5 months in the chemotherapy arm (HR, 0.848; P = .17)

The results were “generally consistent” across patient subgroups,” Dr. Litton said, adding that “the effect of treatment with talazoparib was also similar irrespective of BRCA status, as well as triple-negative or hormone-receptor-positive subtypes.”

Of note, most patients received poststudy therapies. These included PARP inhibitors in 4.5% of patients in the talazoparib arm and 32.6% of patients in the chemotherapy arm, and platinum drugs in 46.3% and 41.7%, respectively.

Patients who received chemotherapy on study but did not receive a subsequent PARP inhibitor or platinum therapy had both shorter total treatment duration and shorter overall survival, compared with patients who did receive subsequent treatment.

In the talazoparib arm, outcomes were similar whether or not patients received a subsequent PARP inhibitor or platinum therapy.

“Interpretation of the overall survival results may have been confounded by subsequent treatment, so two sensitivity analyses accounting for subsequent PARP inhibition or platinum therapy were carried out,” Dr. Litton said.

She noted that adjustment for poststudy treatment lowered the hazard ratio, but there was still no significant difference between the talazoparib and chemotherapy arms. These results suggest “the primary overall survival analysis underestimated the treatment benefit of talazoparib,” Dr. Litton said. She also noted that a longer platinum-free interval prior to study entry was generally associated with a longer duration of survival, particularly in the talazoparib arm.
 

 

 

Quality of life and safety

Patient-reported outcomes continued to favor talazoparib with extended follow-up and were consistent with the initial analysis, Dr. Litton noted.

The updated analysis revealed “a significant improvement in estimated overall change from baseline in the global health quality of life scores for those patients receiving talazoparib, while a significant deterioration was observed in patients receiving chemotherapy,” she said.

The estimated overall change in score was a 2.1-point increase in the talazoparib arm and a 5.7-point decrease in the chemotherapy arm (P = .001). The median time to clinically meaningful deterioration in global health quality of life scores was 26.3 months in the talazoparib arm and 6.7 months in the chemotherapy arm (HR, 0.385).

At the final analysis, the overall safety profile was consistent with that reported previously. Talazoparib was generally well tolerated, and no new safety signals were identified.

Grade 3/4 serious adverse events occurred in 28.3% of patients in the talazoparib arm and 27% of those in the chemotherapy arm. Adverse events led to treatment discontinuation in 7.7% and 9.5% of patients, respectively.

Most grade 3/4 adverse events were hematologic, and most were successfully managed by supportive care, including transfusions and dose modifications, Dr. Litton said.

She noted that one patient in the chemotherapy arm assigned to receive capecitabine had been diagnosed with acute myeloid leukemia at the time of the first analysis. “And now we report an additional case of [acute myeloid leukemia] in a patient who was randomized to the talazoparib arm,” Dr. Litton said.
 

Jury’s still out

Based on existing data, including from EMBRACA, the jury is still out on whether PARP inhibition is associated with an overall survival benefit in this setting, said invited discussant Susan Domcheck, MD, of the University of Pennsylvania in Philadelphia.

She suggested that could change with ongoing efforts to identify biomarkers for treatment response and new approaches to treatment, such as earlier lines of therapy and combinations.

“At this time, germline BRCA 1 and 2 pathogenic variants are the best predictor of PARP inhibitor sensitivity in breast cancer,” Dr. Domcheck said. “Not all the tumors are sensitive, but this is true of [estrogen receptor–positive] breast cancer and hormonal therapy, and HER2-positive breast cancer as well.”

Studies investigating approaches to improve survival are “incredibly important, because the progression-free survival is not as long as we would like it to be and there’s not an overwhelming overall survival benefit, for sure,” she said.

The EMBRACA trial was funded by Medivation (Pfizer). Dr. Litton and colleagues disclosed numerous relationships with pharmaceutical companies and other organizations. Dr. Domcheck disclosed relationships with AstraZeneca, Clovis, and Bristol Myers Squibb.

SOURCE: Litton J et al., AACR 20, Abstract CT071.

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