News

TOPLINE:

Among US veterans with type 2 diabetes (T2D), adherence to 6 to 8 healthy lifestyle factors combined with GLP‑1 receptor agonist (RA) use was associated with a notably lower risk for major adverse cardiovascular events (MACE) than adherence to three or fewer lifestyle factors without GLP‑1 therapy.

METHODOLOGY:

• GLP-1 RAs help manage cardiovascular risk in patients with T2D; however, lifestyle change remains the foundation of diabetes care. The long-term combined effect of these drugs together with a healthy lifestyle on MACE is not fully understood.
• Researchers conducted a prospective cohort study of 98,261 US veterans with T2D between January 2011 and September 2023, with a follow-up duration of 632,543 person-years, to examine the combined impact of GLP-1 RA use and adherence to eight lifestyle habits on cardiovascular outcomes.
• The 8 low-risk lifestyle habits assessed were healthy eating, regular physical activity (≥ 7.5 metabolic equivalent hours/week), nonsmoking, restful sleep (7-9 hours/day), no or moderate alcohol intake (absence of frequent heavy drinking), good stress management, strong social connection and support, and no opioid use disorder.
• GLP‑1 RA use was ascertained from Veterans Health Administration pharmacy records. The primary outcome was MACE, defined as nonfatal stroke, nonfatal myocardial infarction, or cardiovascular death.

TAKEAWAY:

• Participants adhering to all 8 low-risk lifestyle habits had a 60% lower risk for MACE than those adhering to ≤ 1 (multivariable-adjusted hazard ratio [HR], 0.40; P < .0001).
• All 8 low-risk lifestyle factors were independently associated with a lower risk for MACE, with no opioid use disorder showing the strongest association (HR, 0.77; 95% CI, 0.66-0.89).
• Participants using GLP-1 RAs had a 16% lower risk for MACE than those not receiving GLP-1 therapy and receiving usual care (multivariable-adjusted HR, 0.84; 95% CI, 0.76-0.92).
• Participants using GLP-1 RAs who also adhered to 6 to 8 low-risk lifestyle factors had a 43% lower risk for MACE than those not receiving GLP-1 therapy who adhered to three or fewer lifestyle factors (HR, 0.57; 95% CI, 0.46-0.71).

IN PRACTICE:

"In a healthcare landscape, in which GLP-1 [RAs] remain costly and access is uneven, the additive benefit of lifestyle adherence highlighted by this study has important implications for health equity, resource allocation, and the long-term sustainability of diabetes care," experts noted in an accompanying editorial.

SOURCE:

The study was led by Xuan-Mai T. Nguyen, MD, Department of Medicine, UCLA David Geffen School of Medicine in Los Angeles. It was published online in The Lancet Diabetes & Endocrinology.

LIMITATIONS:

The analyses were based on Veterans Health Administration electronic health record data, and healthcare use outside this system was only incompletely captured. The estimation was based on observational data in which lifestyle factors were assessed at baseline. The cohort consisted of predominantly male veterans, which might limit generalizability to other populations.

DISCLOSURES:

The study used data from the Million Veteran Program (MVP) and was supported by Veterans Affairs MVP awards, along with additional support from other sources. One author reported receiving consulting fees, speaker honoraria, meeting/travel support; participation on advisory boards; and ownership of stock or stock options from certain companies in the healthcare and life sciences sectors. Another author reported receiving a research grant from a consulting/analysis firm.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

Among US veterans with type 2 diabetes (T2D), adherence to 6 to 8 healthy lifestyle factors combined with GLP‑1 receptor agonist (RA) use was associated with a notably lower risk for major adverse cardiovascular events (MACE) than adherence to three or fewer lifestyle factors without GLP‑1 therapy.

METHODOLOGY:

• GLP-1 RAs help manage cardiovascular risk in patients with T2D; however, lifestyle change remains the foundation of diabetes care. The long-term combined effect of these drugs together with a healthy lifestyle on MACE is not fully understood.
• Researchers conducted a prospective cohort study of 98,261 US veterans with T2D between January 2011 and September 2023, with a follow-up duration of 632,543 person-years, to examine the combined impact of GLP-1 RA use and adherence to eight lifestyle habits on cardiovascular outcomes.
• The 8 low-risk lifestyle habits assessed were healthy eating, regular physical activity (≥ 7.5 metabolic equivalent hours/week), nonsmoking, restful sleep (7-9 hours/day), no or moderate alcohol intake (absence of frequent heavy drinking), good stress management, strong social connection and support, and no opioid use disorder.
• GLP‑1 RA use was ascertained from Veterans Health Administration pharmacy records. The primary outcome was MACE, defined as nonfatal stroke, nonfatal myocardial infarction, or cardiovascular death.

TAKEAWAY:

• Participants adhering to all 8 low-risk lifestyle habits had a 60% lower risk for MACE than those adhering to ≤ 1 (multivariable-adjusted hazard ratio [HR], 0.40; P < .0001).
• All 8 low-risk lifestyle factors were independently associated with a lower risk for MACE, with no opioid use disorder showing the strongest association (HR, 0.77; 95% CI, 0.66-0.89).
• Participants using GLP-1 RAs had a 16% lower risk for MACE than those not receiving GLP-1 therapy and receiving usual care (multivariable-adjusted HR, 0.84; 95% CI, 0.76-0.92).
• Participants using GLP-1 RAs who also adhered to 6 to 8 low-risk lifestyle factors had a 43% lower risk for MACE than those not receiving GLP-1 therapy who adhered to three or fewer lifestyle factors (HR, 0.57; 95% CI, 0.46-0.71).

IN PRACTICE:

"In a healthcare landscape, in which GLP-1 [RAs] remain costly and access is uneven, the additive benefit of lifestyle adherence highlighted by this study has important implications for health equity, resource allocation, and the long-term sustainability of diabetes care," experts noted in an accompanying editorial.

SOURCE:

The study was led by Xuan-Mai T. Nguyen, MD, Department of Medicine, UCLA David Geffen School of Medicine in Los Angeles. It was published online in The Lancet Diabetes & Endocrinology.

LIMITATIONS:

The analyses were based on Veterans Health Administration electronic health record data, and healthcare use outside this system was only incompletely captured. The estimation was based on observational data in which lifestyle factors were assessed at baseline. The cohort consisted of predominantly male veterans, which might limit generalizability to other populations.

DISCLOSURES:

The study used data from the Million Veteran Program (MVP) and was supported by Veterans Affairs MVP awards, along with additional support from other sources. One author reported receiving consulting fees, speaker honoraria, meeting/travel support; participation on advisory boards; and ownership of stock or stock options from certain companies in the healthcare and life sciences sectors. Another author reported receiving a research grant from a consulting/analysis firm.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

Among US veterans with type 2 diabetes (T2D), adherence to 6 to 8 healthy lifestyle factors combined with GLP‑1 receptor agonist (RA) use was associated with a notably lower risk for major adverse cardiovascular events (MACE) than adherence to three or fewer lifestyle factors without GLP‑1 therapy.

METHODOLOGY:

• GLP-1 RAs help manage cardiovascular risk in patients with T2D; however, lifestyle change remains the foundation of diabetes care. The long-term combined effect of these drugs together with a healthy lifestyle on MACE is not fully understood.
• Researchers conducted a prospective cohort study of 98,261 US veterans with T2D between January 2011 and September 2023, with a follow-up duration of 632,543 person-years, to examine the combined impact of GLP-1 RA use and adherence to eight lifestyle habits on cardiovascular outcomes.
• The 8 low-risk lifestyle habits assessed were healthy eating, regular physical activity (≥ 7.5 metabolic equivalent hours/week), nonsmoking, restful sleep (7-9 hours/day), no or moderate alcohol intake (absence of frequent heavy drinking), good stress management, strong social connection and support, and no opioid use disorder.
• GLP‑1 RA use was ascertained from Veterans Health Administration pharmacy records. The primary outcome was MACE, defined as nonfatal stroke, nonfatal myocardial infarction, or cardiovascular death.

TAKEAWAY:

• Participants adhering to all 8 low-risk lifestyle habits had a 60% lower risk for MACE than those adhering to ≤ 1 (multivariable-adjusted hazard ratio [HR], 0.40; P < .0001).
• All 8 low-risk lifestyle factors were independently associated with a lower risk for MACE, with no opioid use disorder showing the strongest association (HR, 0.77; 95% CI, 0.66-0.89).
• Participants using GLP-1 RAs had a 16% lower risk for MACE than those not receiving GLP-1 therapy and receiving usual care (multivariable-adjusted HR, 0.84; 95% CI, 0.76-0.92).
• Participants using GLP-1 RAs who also adhered to 6 to 8 low-risk lifestyle factors had a 43% lower risk for MACE than those not receiving GLP-1 therapy who adhered to three or fewer lifestyle factors (HR, 0.57; 95% CI, 0.46-0.71).

IN PRACTICE:

"In a healthcare landscape, in which GLP-1 [RAs] remain costly and access is uneven, the additive benefit of lifestyle adherence highlighted by this study has important implications for health equity, resource allocation, and the long-term sustainability of diabetes care," experts noted in an accompanying editorial.

SOURCE:

The study was led by Xuan-Mai T. Nguyen, MD, Department of Medicine, UCLA David Geffen School of Medicine in Los Angeles. It was published online in The Lancet Diabetes & Endocrinology.

LIMITATIONS:

The analyses were based on Veterans Health Administration electronic health record data, and healthcare use outside this system was only incompletely captured. The estimation was based on observational data in which lifestyle factors were assessed at baseline. The cohort consisted of predominantly male veterans, which might limit generalizability to other populations.

DISCLOSURES:

The study used data from the Million Veteran Program (MVP) and was supported by Veterans Affairs MVP awards, along with additional support from other sources. One author reported receiving consulting fees, speaker honoraria, meeting/travel support; participation on advisory boards; and ownership of stock or stock options from certain companies in the healthcare and life sciences sectors. Another author reported receiving a research grant from a consulting/analysis firm.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

Women with epithelial ovarian cancer treated in the US Department of Defense (DoD) universal health care system demonstrate better 5-year survival compared with similar patients from the national population. The survival advantage persists across multiple age groups and disease stages, with particularly notable improvements in patients aged 35-49 years and those with stage III disease.

METHODOLOGY:

• Researchers compared 1504 patients with invasive stage I-IV epithelial ovarian carcinoma from the Automated Center Tumor Registry (ACTUR) for the DoD with 6016 matched patients from the 18-region Surveillance, Epidemiology, and End Results (SEER) program between 1987 and 2013.
• Patients from ACTUR were matched in a 1:4 ratio with SEER patients stratified for age, race, year of diagnosis, and histology, including serous carcinoma, clear cell carcinoma, mucinous carcinoma, and endometrioid carcinoma with adenocarcinoma subtypes.
• Five-year overall survival was evaluated using the Kaplan-Meier method and compared using log-rank test, with median follow-up time of 46 months in ACTUR and 44 months in SEER.
• Adjusted hazard ratio (AHR) and 95% CI for all-cause mortality were estimated from multivariable Cox proportional regression modeling controlling for age, race, year of diagnosis, region of diagnosis, stage, histology, and grade.

TAKEAWAY:

• Overall survival differs between registries: 5-year survival of 53.2% in ACTUR vs 47.7% in matched SEER cohort (log-rank P = .001).
• In the primary adjusted model, ACTUR is associated with a lower risk for all-cause mortality vs SEER (AHR, 0.83; 95% CI, 0.76-0.91; P < .0001).
• Subset results retain lower adjusted risk for death for ACTUR vs SEER among ages 35-49 years (AHR, 0.66; 95% CI, 0.52-0.83; P = .0005), ages ≥ 65 years (AHR, 0.82; 95% CI, 0.70-0.96; P = .016), and stage III cancer (AHR, 0.79; 95% CI, 0.69-0.91; P = .0015).
• Histology-stratified findings show lower adjusted risk for death in ACTUR vs SEER for clear cell carcinoma (AHR, 0.63; 95% CI, 0.43-0.93; P =.02) and for endometrioid and other adenocarcinomas (AHR, 0.68; 95% CI, 0.56-0.81; P < .0001).

IN PRACTICE:

"This study is envisioned to be a stepping stone to further investigations of survival and other cancer health outcomes starting with patients diagnosed between 2014 and 2024 with epithelial carcinoma of the ovary, fallopian tube, or primary peritoneum in the DoD Healthcare System versus the national population or other Healthcare Systems,” wrote the authors of the study. “Dedicated funding and support in the [Military Health System] are needed to invest in infrastructure, technology, security, education, and research.”

SOURCE:

The study was led by Kathleen M. Darcy, PhD, and Christopher M. Tarney, MD, from the Gynecologic Cancer Center of Excellence, Department of Gynecologic Surgery & Obstetrics, Uniformed Services University, Walter Reed National Military Medical Center in Bethesda, Maryland. It was published online in Military Medicine.

LIMITATIONS:

The retrospective cohort study design limits causal inference. Although groups were balanced by age, race, year, and region of diagnosis, other demographic factors and socioeconomic variables such as patient comorbidities, educational attainment, household income, and health insurance status were not available and may have affected results. The databases fundamentally differ in how data are acquired, with ACTUR following hospital-based Facility Oncology Registry Data Standards and SEER being a national population-based registry, potentially affecting data quality, consistency, and reliability of survival outcome comparisons. The inclusion of patients diagnosed only through 2013 represents a limitation as it does not allow for contemporary evaluation of survival outcomes, particularly given advances over the past decade including maximal cytoreductive effort to no residual disease, increased adoption of neoadjuvant chemotherapy, and introduction of targeted maintenance agents. The study could not incorporate details regarding residual disease status or control for specifics regarding surgical and medical management, including primary vs interval debulking surgery or the type and timing of agents utilized in first-line, maintenance, and recurrent disease settings. Data regarding circulating biomarkers including CA125, molecular subtypes or alterations, and stratification by homologous recombination deficiency vs proficiency status were not available. Epithelial carcinomas of the fallopian tube and primary peritoneum were excluded from this study, which now are commonly incorporated with ovarian carcinomas. Results may not be generalizable to other populations given the unique characteristics of the Military Health System beneficiary population.

DISCLOSURES:

This research received funding from the Uniformed Services University from the Defense Health Program to the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., including award HU0001-18-2-0032 to the Murtha Cancer Center Research Program and awards HU0001-19-2-0031 and HU0001-24-2-0047 to the Gynecologic Cancer Center of Excellence Program. All coauthors disclosed no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Women with epithelial ovarian cancer treated in the US Department of Defense (DoD) universal health care system demonstrate better 5-year survival compared with similar patients from the national population. The survival advantage persists across multiple age groups and disease stages, with particularly notable improvements in patients aged 35-49 years and those with stage III disease.

METHODOLOGY:

• Researchers compared 1504 patients with invasive stage I-IV epithelial ovarian carcinoma from the Automated Center Tumor Registry (ACTUR) for the DoD with 6016 matched patients from the 18-region Surveillance, Epidemiology, and End Results (SEER) program between 1987 and 2013.
• Patients from ACTUR were matched in a 1:4 ratio with SEER patients stratified for age, race, year of diagnosis, and histology, including serous carcinoma, clear cell carcinoma, mucinous carcinoma, and endometrioid carcinoma with adenocarcinoma subtypes.
• Five-year overall survival was evaluated using the Kaplan-Meier method and compared using log-rank test, with median follow-up time of 46 months in ACTUR and 44 months in SEER.
• Adjusted hazard ratio (AHR) and 95% CI for all-cause mortality were estimated from multivariable Cox proportional regression modeling controlling for age, race, year of diagnosis, region of diagnosis, stage, histology, and grade.

TAKEAWAY:

• Overall survival differs between registries: 5-year survival of 53.2% in ACTUR vs 47.7% in matched SEER cohort (log-rank P = .001).
• In the primary adjusted model, ACTUR is associated with a lower risk for all-cause mortality vs SEER (AHR, 0.83; 95% CI, 0.76-0.91; P < .0001).
• Subset results retain lower adjusted risk for death for ACTUR vs SEER among ages 35-49 years (AHR, 0.66; 95% CI, 0.52-0.83; P = .0005), ages ≥ 65 years (AHR, 0.82; 95% CI, 0.70-0.96; P = .016), and stage III cancer (AHR, 0.79; 95% CI, 0.69-0.91; P = .0015).
• Histology-stratified findings show lower adjusted risk for death in ACTUR vs SEER for clear cell carcinoma (AHR, 0.63; 95% CI, 0.43-0.93; P =.02) and for endometrioid and other adenocarcinomas (AHR, 0.68; 95% CI, 0.56-0.81; P < .0001).

IN PRACTICE:

"This study is envisioned to be a stepping stone to further investigations of survival and other cancer health outcomes starting with patients diagnosed between 2014 and 2024 with epithelial carcinoma of the ovary, fallopian tube, or primary peritoneum in the DoD Healthcare System versus the national population or other Healthcare Systems,” wrote the authors of the study. “Dedicated funding and support in the [Military Health System] are needed to invest in infrastructure, technology, security, education, and research.”

SOURCE:

The study was led by Kathleen M. Darcy, PhD, and Christopher M. Tarney, MD, from the Gynecologic Cancer Center of Excellence, Department of Gynecologic Surgery & Obstetrics, Uniformed Services University, Walter Reed National Military Medical Center in Bethesda, Maryland. It was published online in Military Medicine.

LIMITATIONS:

The retrospective cohort study design limits causal inference. Although groups were balanced by age, race, year, and region of diagnosis, other demographic factors and socioeconomic variables such as patient comorbidities, educational attainment, household income, and health insurance status were not available and may have affected results. The databases fundamentally differ in how data are acquired, with ACTUR following hospital-based Facility Oncology Registry Data Standards and SEER being a national population-based registry, potentially affecting data quality, consistency, and reliability of survival outcome comparisons. The inclusion of patients diagnosed only through 2013 represents a limitation as it does not allow for contemporary evaluation of survival outcomes, particularly given advances over the past decade including maximal cytoreductive effort to no residual disease, increased adoption of neoadjuvant chemotherapy, and introduction of targeted maintenance agents. The study could not incorporate details regarding residual disease status or control for specifics regarding surgical and medical management, including primary vs interval debulking surgery or the type and timing of agents utilized in first-line, maintenance, and recurrent disease settings. Data regarding circulating biomarkers including CA125, molecular subtypes or alterations, and stratification by homologous recombination deficiency vs proficiency status were not available. Epithelial carcinomas of the fallopian tube and primary peritoneum were excluded from this study, which now are commonly incorporated with ovarian carcinomas. Results may not be generalizable to other populations given the unique characteristics of the Military Health System beneficiary population.

DISCLOSURES:

This research received funding from the Uniformed Services University from the Defense Health Program to the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., including award HU0001-18-2-0032 to the Murtha Cancer Center Research Program and awards HU0001-19-2-0031 and HU0001-24-2-0047 to the Gynecologic Cancer Center of Excellence Program. All coauthors disclosed no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Women with epithelial ovarian cancer treated in the US Department of Defense (DoD) universal health care system demonstrate better 5-year survival compared with similar patients from the national population. The survival advantage persists across multiple age groups and disease stages, with particularly notable improvements in patients aged 35-49 years and those with stage III disease.

METHODOLOGY:

• Researchers compared 1504 patients with invasive stage I-IV epithelial ovarian carcinoma from the Automated Center Tumor Registry (ACTUR) for the DoD with 6016 matched patients from the 18-region Surveillance, Epidemiology, and End Results (SEER) program between 1987 and 2013.
• Patients from ACTUR were matched in a 1:4 ratio with SEER patients stratified for age, race, year of diagnosis, and histology, including serous carcinoma, clear cell carcinoma, mucinous carcinoma, and endometrioid carcinoma with adenocarcinoma subtypes.
• Five-year overall survival was evaluated using the Kaplan-Meier method and compared using log-rank test, with median follow-up time of 46 months in ACTUR and 44 months in SEER.
• Adjusted hazard ratio (AHR) and 95% CI for all-cause mortality were estimated from multivariable Cox proportional regression modeling controlling for age, race, year of diagnosis, region of diagnosis, stage, histology, and grade.

TAKEAWAY:

• Overall survival differs between registries: 5-year survival of 53.2% in ACTUR vs 47.7% in matched SEER cohort (log-rank P = .001).
• In the primary adjusted model, ACTUR is associated with a lower risk for all-cause mortality vs SEER (AHR, 0.83; 95% CI, 0.76-0.91; P < .0001).
• Subset results retain lower adjusted risk for death for ACTUR vs SEER among ages 35-49 years (AHR, 0.66; 95% CI, 0.52-0.83; P = .0005), ages ≥ 65 years (AHR, 0.82; 95% CI, 0.70-0.96; P = .016), and stage III cancer (AHR, 0.79; 95% CI, 0.69-0.91; P = .0015).
• Histology-stratified findings show lower adjusted risk for death in ACTUR vs SEER for clear cell carcinoma (AHR, 0.63; 95% CI, 0.43-0.93; P =.02) and for endometrioid and other adenocarcinomas (AHR, 0.68; 95% CI, 0.56-0.81; P < .0001).

IN PRACTICE:

"This study is envisioned to be a stepping stone to further investigations of survival and other cancer health outcomes starting with patients diagnosed between 2014 and 2024 with epithelial carcinoma of the ovary, fallopian tube, or primary peritoneum in the DoD Healthcare System versus the national population or other Healthcare Systems,” wrote the authors of the study. “Dedicated funding and support in the [Military Health System] are needed to invest in infrastructure, technology, security, education, and research.”

SOURCE:

The study was led by Kathleen M. Darcy, PhD, and Christopher M. Tarney, MD, from the Gynecologic Cancer Center of Excellence, Department of Gynecologic Surgery & Obstetrics, Uniformed Services University, Walter Reed National Military Medical Center in Bethesda, Maryland. It was published online in Military Medicine.

LIMITATIONS:

The retrospective cohort study design limits causal inference. Although groups were balanced by age, race, year, and region of diagnosis, other demographic factors and socioeconomic variables such as patient comorbidities, educational attainment, household income, and health insurance status were not available and may have affected results. The databases fundamentally differ in how data are acquired, with ACTUR following hospital-based Facility Oncology Registry Data Standards and SEER being a national population-based registry, potentially affecting data quality, consistency, and reliability of survival outcome comparisons. The inclusion of patients diagnosed only through 2013 represents a limitation as it does not allow for contemporary evaluation of survival outcomes, particularly given advances over the past decade including maximal cytoreductive effort to no residual disease, increased adoption of neoadjuvant chemotherapy, and introduction of targeted maintenance agents. The study could not incorporate details regarding residual disease status or control for specifics regarding surgical and medical management, including primary vs interval debulking surgery or the type and timing of agents utilized in first-line, maintenance, and recurrent disease settings. Data regarding circulating biomarkers including CA125, molecular subtypes or alterations, and stratification by homologous recombination deficiency vs proficiency status were not available. Epithelial carcinomas of the fallopian tube and primary peritoneum were excluded from this study, which now are commonly incorporated with ovarian carcinomas. Results may not be generalizable to other populations given the unique characteristics of the Military Health System beneficiary population.

DISCLOSURES:

This research received funding from the Uniformed Services University from the Defense Health Program to the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., including award HU0001-18-2-0032 to the Murtha Cancer Center Research Program and awards HU0001-19-2-0031 and HU0001-24-2-0047 to the Gynecologic Cancer Center of Excellence Program. All coauthors disclosed no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Offering adjuvant therapy to patients with stage III melanoma offers no melanoma-specific or overall survival benefit, reveals extended follow-up from the first population-based national study to estimate the impact of the treatment.

Hildur Helgadottir, MD, PhD, presented the new findings at the 22nd European Association of Dermato-Oncology (EADO) Congress 2026 on April 24 and described the lead-up to the latest update on the study.

To investigate the impact of adjuvant treatment in patients with stage III melanoma, researchers initially conducted a study in which they used the Swedish Melanoma Registry (SweMR) to identify a precohort of those treated before the introduction of adjuvant therapy in 2018 and a postcohort of those treated subsequently, following both groups out to 2023, she explained.

The analysis revealed no significant difference in melanoma-specific survival between the two groups, at a hazard ratio of 0.92, nor in overall survival, at a hazard ratio of 0.93 (P = .60 for both). However, median follow-up differed between the groups, at 69 months vs 39 months for the precohort vs the postcohort.

Helgadottir, who is a senior research specialist at the Karolinska Comprehensive Cancer Center in Stockholm, Sweden, said that when the earlier results were presented at the European Society for Medical Oncology 2024, there was some criticism that the follow-up was not long enough and that there was no information on the actual adjuvant treatment received in the postcohort patients.

The researchers therefore extended their study out to 2024 to increase the median follow-up to 60 months vs 92 months in the postcohort group vs the precohort group.

They also focused patient selection on patients aged less than 75 years because exposure to adjuvant therapy in older patients was low and restricted the analysis to sentinel lymph node-positive stage IIIB-D cutaneous melanoma diagnosed between 2016 and 2020. This was because adjuvant exposure in stage IIIA disease was low, and patients with clinically detected stage III melanoma started to receive neoadjuvant therapy from 2022 onward.

The current analysis, which was recently published in the European Journal of Cancer, involved 287 patients in the precohort and 349 in the postcohort, who had a median age of 60.0 years and 61.0 years, respectively, and of whom 62.0% and 60.5%, respectively, were male. The groups were well balanced in terms of baseline disease characteristics.

Helgadottir explained that 73% of patients in the postcohort received some form of adjuvant treatment, with the majority treated with PD-1 inhibitors, and a smaller proportion given B-Raf serine-threonine kinase inhibitors. The main reasons for not giving adjuvant therapy were favorable tumor characteristics and the presence of comorbidities.

Five-year melanoma-specific survival rates in the precohorts and postcohorts were 71.4% vs 73.2%, at a hazard ratio adjusted for age, sex, and American Joint Committee on Cancer stage of 1.01 (P = .931). Five-year overall survival rates were 67.3% vs 70.1%, at an adjusted hazard ratio of 0.96 (P = .791).

Helgadottir showed that there were also no significant survival differences in any of the prespecified subgroups for neither melanoma-specific nor overall survival.

There were, again, no significant differences in survival outcomes between the two patient groups, she reported.

The latest results are similar to those from another study conducted in Netherlands and a Danish analysis, Helgadottir said.

Taken together, and “considering the side effects and the costs, it is possible that we will go back to closely following up our patients and treating only at relapse,” she said, “and optimally, of course, that will be already in the neoadjuvant setting.”

“And of course we will need biomarkers because there could be some patients that really need adjuvant treatment, but we need to identify these patients,” continued Helgadottir. Overall survival results from KEYNOTE-054, which compares pembrolizumab with placebo after resection of high-risk stage III melanoma, are awaited, she continued.

Helgadottir explained that adjuvant treatment for stage III melanoma was approved in Sweden in 2018, with treatments freely available to all Swedish residents.

The SweMR is a population-based national register that has near-complete and detailed data on primary cutaneous melanomas, including nodal status and satellite and in-transit disease, and is linked to the national Cause of Death Registry. Helgadottir noted, however, that the SweMR does not contain any information on relapses or the nature of the oncologic treatment received by patients with melanoma.

Following her presentation, she was challenged by an audience member as to whether, on the basis of her findings, she would go back to following up with patients and treating at relapses.

“Maybe we should do that and believe in our own data, and we do. But still, the gold standard must always be the randomized clinical trial,” Helgadottir responded. “So I think, although that we believe in this data, we also want to see the results of the randomized studies.”

The audience member commented that she can see in the data from her own institution that they treat fewer and fewer patients with melanoma with adjuvant therapy by discussing it more thoroughly and being stricter on who should receive it.

Helgadottir agreed, adding that “based on this experience, we did not introduce it to stage II patients because it’s always harder to go back” once a group of patients has started to receive a treatment.

The research was supported by Regional Cancer Centres in Sweden and with grants from the Swedish Cancer Society, Region Stockholm, and the Cancer Research Funds of Radiumhemmet. Helgadottir declared having relationships with Bristol Myers Squibb, Merck Sharp & Dohme, Pierre Fabre, and Novartis.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

Offering adjuvant therapy to patients with stage III melanoma offers no melanoma-specific or overall survival benefit, reveals extended follow-up from the first population-based national study to estimate the impact of the treatment.

Hildur Helgadottir, MD, PhD, presented the new findings at the 22nd European Association of Dermato-Oncology (EADO) Congress 2026 on April 24 and described the lead-up to the latest update on the study.

To investigate the impact of adjuvant treatment in patients with stage III melanoma, researchers initially conducted a study in which they used the Swedish Melanoma Registry (SweMR) to identify a precohort of those treated before the introduction of adjuvant therapy in 2018 and a postcohort of those treated subsequently, following both groups out to 2023, she explained.

The analysis revealed no significant difference in melanoma-specific survival between the two groups, at a hazard ratio of 0.92, nor in overall survival, at a hazard ratio of 0.93 (P = .60 for both). However, median follow-up differed between the groups, at 69 months vs 39 months for the precohort vs the postcohort.

Helgadottir, who is a senior research specialist at the Karolinska Comprehensive Cancer Center in Stockholm, Sweden, said that when the earlier results were presented at the European Society for Medical Oncology 2024, there was some criticism that the follow-up was not long enough and that there was no information on the actual adjuvant treatment received in the postcohort patients.

The researchers therefore extended their study out to 2024 to increase the median follow-up to 60 months vs 92 months in the postcohort group vs the precohort group.

They also focused patient selection on patients aged less than 75 years because exposure to adjuvant therapy in older patients was low and restricted the analysis to sentinel lymph node-positive stage IIIB-D cutaneous melanoma diagnosed between 2016 and 2020. This was because adjuvant exposure in stage IIIA disease was low, and patients with clinically detected stage III melanoma started to receive neoadjuvant therapy from 2022 onward.

The current analysis, which was recently published in the European Journal of Cancer, involved 287 patients in the precohort and 349 in the postcohort, who had a median age of 60.0 years and 61.0 years, respectively, and of whom 62.0% and 60.5%, respectively, were male. The groups were well balanced in terms of baseline disease characteristics.

Helgadottir explained that 73% of patients in the postcohort received some form of adjuvant treatment, with the majority treated with PD-1 inhibitors, and a smaller proportion given B-Raf serine-threonine kinase inhibitors. The main reasons for not giving adjuvant therapy were favorable tumor characteristics and the presence of comorbidities.

Five-year melanoma-specific survival rates in the precohorts and postcohorts were 71.4% vs 73.2%, at a hazard ratio adjusted for age, sex, and American Joint Committee on Cancer stage of 1.01 (P = .931). Five-year overall survival rates were 67.3% vs 70.1%, at an adjusted hazard ratio of 0.96 (P = .791).

Helgadottir showed that there were also no significant survival differences in any of the prespecified subgroups for neither melanoma-specific nor overall survival.

There were, again, no significant differences in survival outcomes between the two patient groups, she reported.

The latest results are similar to those from another study conducted in Netherlands and a Danish analysis, Helgadottir said.

Taken together, and “considering the side effects and the costs, it is possible that we will go back to closely following up our patients and treating only at relapse,” she said, “and optimally, of course, that will be already in the neoadjuvant setting.”

“And of course we will need biomarkers because there could be some patients that really need adjuvant treatment, but we need to identify these patients,” continued Helgadottir. Overall survival results from KEYNOTE-054, which compares pembrolizumab with placebo after resection of high-risk stage III melanoma, are awaited, she continued.

Helgadottir explained that adjuvant treatment for stage III melanoma was approved in Sweden in 2018, with treatments freely available to all Swedish residents.

The SweMR is a population-based national register that has near-complete and detailed data on primary cutaneous melanomas, including nodal status and satellite and in-transit disease, and is linked to the national Cause of Death Registry. Helgadottir noted, however, that the SweMR does not contain any information on relapses or the nature of the oncologic treatment received by patients with melanoma.

Following her presentation, she was challenged by an audience member as to whether, on the basis of her findings, she would go back to following up with patients and treating at relapses.

“Maybe we should do that and believe in our own data, and we do. But still, the gold standard must always be the randomized clinical trial,” Helgadottir responded. “So I think, although that we believe in this data, we also want to see the results of the randomized studies.”

The audience member commented that she can see in the data from her own institution that they treat fewer and fewer patients with melanoma with adjuvant therapy by discussing it more thoroughly and being stricter on who should receive it.

Helgadottir agreed, adding that “based on this experience, we did not introduce it to stage II patients because it’s always harder to go back” once a group of patients has started to receive a treatment.

The research was supported by Regional Cancer Centres in Sweden and with grants from the Swedish Cancer Society, Region Stockholm, and the Cancer Research Funds of Radiumhemmet. Helgadottir declared having relationships with Bristol Myers Squibb, Merck Sharp & Dohme, Pierre Fabre, and Novartis.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

Offering adjuvant therapy to patients with stage III melanoma offers no melanoma-specific or overall survival benefit, reveals extended follow-up from the first population-based national study to estimate the impact of the treatment.

Hildur Helgadottir, MD, PhD, presented the new findings at the 22nd European Association of Dermato-Oncology (EADO) Congress 2026 on April 24 and described the lead-up to the latest update on the study.

To investigate the impact of adjuvant treatment in patients with stage III melanoma, researchers initially conducted a study in which they used the Swedish Melanoma Registry (SweMR) to identify a precohort of those treated before the introduction of adjuvant therapy in 2018 and a postcohort of those treated subsequently, following both groups out to 2023, she explained.

The analysis revealed no significant difference in melanoma-specific survival between the two groups, at a hazard ratio of 0.92, nor in overall survival, at a hazard ratio of 0.93 (P = .60 for both). However, median follow-up differed between the groups, at 69 months vs 39 months for the precohort vs the postcohort.

Helgadottir, who is a senior research specialist at the Karolinska Comprehensive Cancer Center in Stockholm, Sweden, said that when the earlier results were presented at the European Society for Medical Oncology 2024, there was some criticism that the follow-up was not long enough and that there was no information on the actual adjuvant treatment received in the postcohort patients.

The researchers therefore extended their study out to 2024 to increase the median follow-up to 60 months vs 92 months in the postcohort group vs the precohort group.

They also focused patient selection on patients aged less than 75 years because exposure to adjuvant therapy in older patients was low and restricted the analysis to sentinel lymph node-positive stage IIIB-D cutaneous melanoma diagnosed between 2016 and 2020. This was because adjuvant exposure in stage IIIA disease was low, and patients with clinically detected stage III melanoma started to receive neoadjuvant therapy from 2022 onward.

The current analysis, which was recently published in the European Journal of Cancer, involved 287 patients in the precohort and 349 in the postcohort, who had a median age of 60.0 years and 61.0 years, respectively, and of whom 62.0% and 60.5%, respectively, were male. The groups were well balanced in terms of baseline disease characteristics.

Helgadottir explained that 73% of patients in the postcohort received some form of adjuvant treatment, with the majority treated with PD-1 inhibitors, and a smaller proportion given B-Raf serine-threonine kinase inhibitors. The main reasons for not giving adjuvant therapy were favorable tumor characteristics and the presence of comorbidities.

Five-year melanoma-specific survival rates in the precohorts and postcohorts were 71.4% vs 73.2%, at a hazard ratio adjusted for age, sex, and American Joint Committee on Cancer stage of 1.01 (P = .931). Five-year overall survival rates were 67.3% vs 70.1%, at an adjusted hazard ratio of 0.96 (P = .791).

Helgadottir showed that there were also no significant survival differences in any of the prespecified subgroups for neither melanoma-specific nor overall survival.

There were, again, no significant differences in survival outcomes between the two patient groups, she reported.

The latest results are similar to those from another study conducted in Netherlands and a Danish analysis, Helgadottir said.

Taken together, and “considering the side effects and the costs, it is possible that we will go back to closely following up our patients and treating only at relapse,” she said, “and optimally, of course, that will be already in the neoadjuvant setting.”

“And of course we will need biomarkers because there could be some patients that really need adjuvant treatment, but we need to identify these patients,” continued Helgadottir. Overall survival results from KEYNOTE-054, which compares pembrolizumab with placebo after resection of high-risk stage III melanoma, are awaited, she continued.

Helgadottir explained that adjuvant treatment for stage III melanoma was approved in Sweden in 2018, with treatments freely available to all Swedish residents.

The SweMR is a population-based national register that has near-complete and detailed data on primary cutaneous melanomas, including nodal status and satellite and in-transit disease, and is linked to the national Cause of Death Registry. Helgadottir noted, however, that the SweMR does not contain any information on relapses or the nature of the oncologic treatment received by patients with melanoma.

Following her presentation, she was challenged by an audience member as to whether, on the basis of her findings, she would go back to following up with patients and treating at relapses.

“Maybe we should do that and believe in our own data, and we do. But still, the gold standard must always be the randomized clinical trial,” Helgadottir responded. “So I think, although that we believe in this data, we also want to see the results of the randomized studies.”

The audience member commented that she can see in the data from her own institution that they treat fewer and fewer patients with melanoma with adjuvant therapy by discussing it more thoroughly and being stricter on who should receive it.

Helgadottir agreed, adding that “based on this experience, we did not introduce it to stage II patients because it’s always harder to go back” once a group of patients has started to receive a treatment.

The research was supported by Regional Cancer Centres in Sweden and with grants from the Swedish Cancer Society, Region Stockholm, and the Cancer Research Funds of Radiumhemmet. Helgadottir declared having relationships with Bristol Myers Squibb, Merck Sharp & Dohme, Pierre Fabre, and Novartis.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

An AI-based skin assessment app may drive up healthcare visits for benign lesions, with unclear benefits for skin cancer detection, a Dutch clinical trial has found.

The trial, of nearly 20,000 patients in one health insurance plan, found that those given free access to the app were no more likely to be diagnosed with skin cancer over 1 year than participants assigned to a control group with no app access. They were, however, more likely to make healthcare visits for benign skin lesions.

The results came as a surprise, lead researcher Marlies Wakkee, MD, PhD, said during a presentation at the European Association of Dermato-Oncology (EADO) Congress 2026, held in Prague, Czech Republic.

“We were a bit flabbergasted,” said Wakkee, of Erasmus MC in Rotterdam, Netherlands. “We were, of course, expecting that those who would use this intervention app would have more skin cancer diagnoses than those who did not.”

She did, however, point to a potential reason for the lack of benefit: A deeper look at the data suggested that participants in the control group might have been particularly motivated to see their doctor for suspicious skin growths.

Can AI Apps Fill a Gap?

Wakkee pointed out that routine skin cancer screening via clinical skin examination is considered infeasible in many countries. Current guidance from the US Preventive Services Task Force says there is insufficient evidence to assess the balance of benefits and harms from widespread screening.

A plethora of AI-based skin assessment apps have entered the market in recent years, Wakkee said, and in theory, they have the potential to aid in earlier skin cancer diagnosis. But, she added, the technology also comes with potential harms, ranging from spurring healthcare visits for benign lesions to missing true cancers.

The current trial focused on the SkinVision app. It relies on a convolutional neural network to analyze images of skin lesions captured by the user’s smartphone and provides risk assessments of low, medium or high; a tele-dermatology team is available for support.

The app has been reimbursed in Netherlands via health insurance companies since 2019, and by 2021, it was available to 2.2 million insurees, with an uptake of about 1%, according to Wakkee.

In a previous study, the researchers used insurance claims data to study 18,960 app users and compare them with 56,880 nonusers. They found that app use was associated with an increased likelihood of being diagnosed with cutaneous malignancies and premalignancies but also benign tumors and nevi.

“So there’s a group in there that just is very worried about their skin,” Wakkee said.

To investigate further, her team conducted the SPOT-study, a randomized controlled trial in which roughly 226,000 adults covered by a Dutch nonprofit health insurance provider were invited to take part.

Of those, just over 19,000 agreed and were randomly assigned to either an intervention group that had free access to the skin app for 12 months or a control group that had no access. They were told that if they had any skin lesions they were worried about, they should visit their general practitioner.

During that period, the study found there was no significant difference in rates of histologically verified melanoma between the intervention and control groups, at 0.26% vs 0.31% — a risk difference of -0.05% (P = .68).

Similarly, the groups showed no difference in rates of any type of skin cancer, including squamous cell and basal cell carcinomas, at 2.66% in the intervention group vs 2.27% in the control group (P = .10). Rates of premalignant lesions were also comparable (6.9% vs 6.3%; P = .23).

The researchers then examined participants’ claims data to look at healthcare visits for benign skin lesions. There, app users did have a significantly higher rate, at 3.9% vs 2.6% (P < .001).

A Case of Inherent Bias?

The lack of benefit for skin cancer detection prompted the researchers to view the data from a different angle. They compared their trial participants with over 200,000 nonresponders from the health insurance plan. And that’s when a difference emerged.

Overall, trial participants were nearly three times more likely to have a skin premalignancy or malignancy diagnosed during that period, at 6.7% vs 2.4% (P < .001).

Wakkee said that because trial participants were told that the study aimed to gauge “the potential impact of this technology” in assessing skin lesions, that might have created an inherent bias. Participants assigned to the control group may have been motivated to have any worrisome skin growth checked out by their general practitioners.

In addition, Wakkee cautioned that the 12-month results are based on a small number of cancer cases, making it difficult to draw firm conclusions about the app’s performance. The trial has a second phase, where both groups were given free access to the app for 12 months, then followed for an additional 24 months.

Longer-term data are needed, Wakkee noted, in part to see whether people’s app usage changes over time.

Future Questions

Audience members at the presentation raised questions about how AI-based apps could be best deployed for skin cancer detection — including whether they might work better in the hands of clinicians rather than patients.

Wakkee said that clinicians would need a more advanced technology than that included in the app used in this trial. But future studies, she said, will look at whether the app can be used in a more targeted way, specifically, as a triage tool for people who are already concerned about something on their skin, to help them decide if they need to visit their doctor.

One presentation attendee wondered whether people given a low-risk result by the app were likely to be reassured or still make an appointment.

Wakkee said her team has begun to dig into that question. In a pilot study, 50 patients who wanted to see their general practitioner for a skin lesion were asked: If you received a low-risk rating on the skin app, would you still visit your doctor?

“Half of them said they would stay at home,” Wakkee said. She added, however, that her team is conducting a follow-up study to see what people actually do.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

An AI-based skin assessment app may drive up healthcare visits for benign lesions, with unclear benefits for skin cancer detection, a Dutch clinical trial has found.

The trial, of nearly 20,000 patients in one health insurance plan, found that those given free access to the app were no more likely to be diagnosed with skin cancer over 1 year than participants assigned to a control group with no app access. They were, however, more likely to make healthcare visits for benign skin lesions.

The results came as a surprise, lead researcher Marlies Wakkee, MD, PhD, said during a presentation at the European Association of Dermato-Oncology (EADO) Congress 2026, held in Prague, Czech Republic.

“We were a bit flabbergasted,” said Wakkee, of Erasmus MC in Rotterdam, Netherlands. “We were, of course, expecting that those who would use this intervention app would have more skin cancer diagnoses than those who did not.”

She did, however, point to a potential reason for the lack of benefit: A deeper look at the data suggested that participants in the control group might have been particularly motivated to see their doctor for suspicious skin growths.

Can AI Apps Fill a Gap?

Wakkee pointed out that routine skin cancer screening via clinical skin examination is considered infeasible in many countries. Current guidance from the US Preventive Services Task Force says there is insufficient evidence to assess the balance of benefits and harms from widespread screening.

A plethora of AI-based skin assessment apps have entered the market in recent years, Wakkee said, and in theory, they have the potential to aid in earlier skin cancer diagnosis. But, she added, the technology also comes with potential harms, ranging from spurring healthcare visits for benign lesions to missing true cancers.

The current trial focused on the SkinVision app. It relies on a convolutional neural network to analyze images of skin lesions captured by the user’s smartphone and provides risk assessments of low, medium or high; a tele-dermatology team is available for support.

The app has been reimbursed in Netherlands via health insurance companies since 2019, and by 2021, it was available to 2.2 million insurees, with an uptake of about 1%, according to Wakkee.

In a previous study, the researchers used insurance claims data to study 18,960 app users and compare them with 56,880 nonusers. They found that app use was associated with an increased likelihood of being diagnosed with cutaneous malignancies and premalignancies but also benign tumors and nevi.

“So there’s a group in there that just is very worried about their skin,” Wakkee said.

To investigate further, her team conducted the SPOT-study, a randomized controlled trial in which roughly 226,000 adults covered by a Dutch nonprofit health insurance provider were invited to take part.

Of those, just over 19,000 agreed and were randomly assigned to either an intervention group that had free access to the skin app for 12 months or a control group that had no access. They were told that if they had any skin lesions they were worried about, they should visit their general practitioner.

During that period, the study found there was no significant difference in rates of histologically verified melanoma between the intervention and control groups, at 0.26% vs 0.31% — a risk difference of -0.05% (P = .68).

Similarly, the groups showed no difference in rates of any type of skin cancer, including squamous cell and basal cell carcinomas, at 2.66% in the intervention group vs 2.27% in the control group (P = .10). Rates of premalignant lesions were also comparable (6.9% vs 6.3%; P = .23).

The researchers then examined participants’ claims data to look at healthcare visits for benign skin lesions. There, app users did have a significantly higher rate, at 3.9% vs 2.6% (P < .001).

A Case of Inherent Bias?

The lack of benefit for skin cancer detection prompted the researchers to view the data from a different angle. They compared their trial participants with over 200,000 nonresponders from the health insurance plan. And that’s when a difference emerged.

Overall, trial participants were nearly three times more likely to have a skin premalignancy or malignancy diagnosed during that period, at 6.7% vs 2.4% (P < .001).

Wakkee said that because trial participants were told that the study aimed to gauge “the potential impact of this technology” in assessing skin lesions, that might have created an inherent bias. Participants assigned to the control group may have been motivated to have any worrisome skin growth checked out by their general practitioners.

In addition, Wakkee cautioned that the 12-month results are based on a small number of cancer cases, making it difficult to draw firm conclusions about the app’s performance. The trial has a second phase, where both groups were given free access to the app for 12 months, then followed for an additional 24 months.

Longer-term data are needed, Wakkee noted, in part to see whether people’s app usage changes over time.

Future Questions

Audience members at the presentation raised questions about how AI-based apps could be best deployed for skin cancer detection — including whether they might work better in the hands of clinicians rather than patients.

Wakkee said that clinicians would need a more advanced technology than that included in the app used in this trial. But future studies, she said, will look at whether the app can be used in a more targeted way, specifically, as a triage tool for people who are already concerned about something on their skin, to help them decide if they need to visit their doctor.

One presentation attendee wondered whether people given a low-risk result by the app were likely to be reassured or still make an appointment.

Wakkee said her team has begun to dig into that question. In a pilot study, 50 patients who wanted to see their general practitioner for a skin lesion were asked: If you received a low-risk rating on the skin app, would you still visit your doctor?

“Half of them said they would stay at home,” Wakkee said. She added, however, that her team is conducting a follow-up study to see what people actually do.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

An AI-based skin assessment app may drive up healthcare visits for benign lesions, with unclear benefits for skin cancer detection, a Dutch clinical trial has found.

The trial, of nearly 20,000 patients in one health insurance plan, found that those given free access to the app were no more likely to be diagnosed with skin cancer over 1 year than participants assigned to a control group with no app access. They were, however, more likely to make healthcare visits for benign skin lesions.

The results came as a surprise, lead researcher Marlies Wakkee, MD, PhD, said during a presentation at the European Association of Dermato-Oncology (EADO) Congress 2026, held in Prague, Czech Republic.

“We were a bit flabbergasted,” said Wakkee, of Erasmus MC in Rotterdam, Netherlands. “We were, of course, expecting that those who would use this intervention app would have more skin cancer diagnoses than those who did not.”

She did, however, point to a potential reason for the lack of benefit: A deeper look at the data suggested that participants in the control group might have been particularly motivated to see their doctor for suspicious skin growths.

Can AI Apps Fill a Gap?

Wakkee pointed out that routine skin cancer screening via clinical skin examination is considered infeasible in many countries. Current guidance from the US Preventive Services Task Force says there is insufficient evidence to assess the balance of benefits and harms from widespread screening.

A plethora of AI-based skin assessment apps have entered the market in recent years, Wakkee said, and in theory, they have the potential to aid in earlier skin cancer diagnosis. But, she added, the technology also comes with potential harms, ranging from spurring healthcare visits for benign lesions to missing true cancers.

The current trial focused on the SkinVision app. It relies on a convolutional neural network to analyze images of skin lesions captured by the user’s smartphone and provides risk assessments of low, medium or high; a tele-dermatology team is available for support.

The app has been reimbursed in Netherlands via health insurance companies since 2019, and by 2021, it was available to 2.2 million insurees, with an uptake of about 1%, according to Wakkee.

In a previous study, the researchers used insurance claims data to study 18,960 app users and compare them with 56,880 nonusers. They found that app use was associated with an increased likelihood of being diagnosed with cutaneous malignancies and premalignancies but also benign tumors and nevi.

“So there’s a group in there that just is very worried about their skin,” Wakkee said.

To investigate further, her team conducted the SPOT-study, a randomized controlled trial in which roughly 226,000 adults covered by a Dutch nonprofit health insurance provider were invited to take part.

Of those, just over 19,000 agreed and were randomly assigned to either an intervention group that had free access to the skin app for 12 months or a control group that had no access. They were told that if they had any skin lesions they were worried about, they should visit their general practitioner.

During that period, the study found there was no significant difference in rates of histologically verified melanoma between the intervention and control groups, at 0.26% vs 0.31% — a risk difference of -0.05% (P = .68).

Similarly, the groups showed no difference in rates of any type of skin cancer, including squamous cell and basal cell carcinomas, at 2.66% in the intervention group vs 2.27% in the control group (P = .10). Rates of premalignant lesions were also comparable (6.9% vs 6.3%; P = .23).

The researchers then examined participants’ claims data to look at healthcare visits for benign skin lesions. There, app users did have a significantly higher rate, at 3.9% vs 2.6% (P < .001).

A Case of Inherent Bias?

The lack of benefit for skin cancer detection prompted the researchers to view the data from a different angle. They compared their trial participants with over 200,000 nonresponders from the health insurance plan. And that’s when a difference emerged.

Overall, trial participants were nearly three times more likely to have a skin premalignancy or malignancy diagnosed during that period, at 6.7% vs 2.4% (P < .001).

Wakkee said that because trial participants were told that the study aimed to gauge “the potential impact of this technology” in assessing skin lesions, that might have created an inherent bias. Participants assigned to the control group may have been motivated to have any worrisome skin growth checked out by their general practitioners.

In addition, Wakkee cautioned that the 12-month results are based on a small number of cancer cases, making it difficult to draw firm conclusions about the app’s performance. The trial has a second phase, where both groups were given free access to the app for 12 months, then followed for an additional 24 months.

Longer-term data are needed, Wakkee noted, in part to see whether people’s app usage changes over time.

Future Questions

Audience members at the presentation raised questions about how AI-based apps could be best deployed for skin cancer detection — including whether they might work better in the hands of clinicians rather than patients.

Wakkee said that clinicians would need a more advanced technology than that included in the app used in this trial. But future studies, she said, will look at whether the app can be used in a more targeted way, specifically, as a triage tool for people who are already concerned about something on their skin, to help them decide if they need to visit their doctor.

One presentation attendee wondered whether people given a low-risk result by the app were likely to be reassured or still make an appointment.

Wakkee said her team has begun to dig into that question. In a pilot study, 50 patients who wanted to see their general practitioner for a skin lesion were asked: If you received a low-risk rating on the skin app, would you still visit your doctor?

“Half of them said they would stay at home,” Wakkee said. She added, however, that her team is conducting a follow-up study to see what people actually do.

The trial was supported by SkinVision. The researchers declared having no relevant financial relationships.

This article was previously published by Medscape.

Wildfire smoke exposure may be associated with increased risks for multiple types of cancer, suggests an analysis of prospective cohort data from over 90,000 individuals.

To determine how this widespread pollution might be affecting cancer risk, senior author Shuguang Leng, MBBS, PhD, and colleagues analyzed data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. That prospective national study enrolled approximately 154,000 participants between 1993 and 2001 and tracked cancer incidence through 2018. Of these, 91,460 participants had wildfire smoke exposure data and were included in the analysis.

During the 2006-2018 exposure period, the investigators identified incident cases of 242 ovarian, 800 colorectal, 896 bladder, 1696 hematopoietic, 1739 breast, and 1758 lung cancers, as well as 1127 melanoma cases. The median 36-month moving average for wildfire smoke PM_2.5 (fine particulate matter) across the cohort was 0.37 µg/m³.

Wildfire smoke exposure was significantly associated with increased risks for lung, colorectal, breast, bladder, and hematopoietic cancer, according to the results of the study presented by Leng at American Association for Cancer Research (AACR) Annual Meeting 2026.

Each 1 µg/m³ increase in the 36-month moving average of wildfire smoke PM_2.5 was associated with a 63% higher risk for hematopoietic cancer (HR, 1.63; 95% CI, 1.02-2.60), a nearly twofold higher risk for lung cancer (hazard ratio [HR], 1.92; 95% CI, 1.18-3.15), more than twofold higher risks for breast cancer (HR, 2.09; 95% CI, 1.34-3.26) and colorectal cancer (HR, 2.31; 95% CI, 1.11-4.81), and a more than threefold higher risk for bladder cancer (HR, 3.49; 95% CI, 1.66-7.34). No significant associations were observed for ovarian cancer or melanoma.

The investigators quantified wildfire smoke exposure at each participant’s residence on a monthly basis using three measures: near-ground wildfire smoke PM_2.5, wildfire smoke black carbon, and satellite-derived wildfire smoke plume-day counts, with measurements available from 2006 until first cancer diagnosis or last contact.

Given evidence that 3 years of air pollution exposure can influence the development of epidermal growth factor receptor-positive lung adenocarcinoma, the team modeled exposure as a time-varying variable using 36-month moving averages preceding each month. HRs were estimated using Cox proportional hazards models stratified by study center, with restricted cubic splines applied to evaluate dose-response relationships. Models were adjusted for age, sex, race and ethnicity, education, smoking history, BMI, and trial arm.

All five cancer types linked with wildfire smoke exposure showed linear dose-response relationships, Leng noted, “which means the higher the exposure, the higher the cancer risk.”

Results based on wildfire smoke plume-day counts were generally consistent with those for PM_2.5, while associations for black carbon exposure were observed only for breast and bladder cancers.

With wildfires on the rise, these findings suggest that the resulting smoke may become a “major driver for cancer burden in the US in the coming decades,” said Leng, of the University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.

“Wildfire smoke has become a major source of air pollution in the United States,” he continued. Large fires in the US are three times more common than they were 50 years ago, and the “tons of toxicants and particles” released by these fires “can travel hundreds of miles to affect communities far away.”

The investigators also conducted histology-specific analyses, finding that adenocarcinoma showed the strongest association with wildfire smoke among lung cancer subtypes. Among colorectal cancers, proximal tumors appeared more sensitive to wildfire smoke exposure, while among bladder cancers, the association was strongest for muscle-invasive disease.

Wildfire Smoke Exposure Expected to Rise

Under even the most conservative climate projections, wildfire smoke exposure in the US is expected to rise over the next 20-30 years, Leng said.

Annual average wildfire smoke PM_2.5 levels, currently estimated at around 0.5 µg/m³, could rise to 1 µg/m³. Based on the study’s dose-response data, this would correspond to substantially greater cancer risk.

There will be “a much larger area” of the US exposed “at a much higher dose,” Leng predicted.

Mitigating the Risks of Wildfire Smoke

This is a “strong hypothesis-generating study,” Jun Wu, PhD, professor of environmental and occupational health at the UC Irvine Program in Public Health, Irvine, California, told Medscape Medical News.

“This is one of the first large, prospective US cohort studies to examine wildfire smoke specifically in relation to cancer risk, especially cancer sites beyond the lung,” Wu said. “A major strength is that the PLCO platform has around 91,000 participants with longitudinal follow-up and detailed covariate data, including smoking history, which is often a weak point in previous air pollution-cancer studies.”

According to Wu, who was not involved in the analysis but recently published data linking wildfire smoke exposure to preterm birth, the reported risks for colorectal, breast, bladder, and hematopoietic cancers represent novel contributions to the literature. However, she cautioned against viewing the specific HRs as a precise estimates of risk due to wide confidence intervals.

The findings should encourage individuals, public health officials, and clinicians to mitigate the risks of wildfire smoke, Wu said.

Specifically, she suggested that public health assessments expand beyond acute outcomes like emergency department visits to include long-term endpoints such as cancer, while community clean-air shelters need to be made more widely available.

She advised clinicians to incorporate wildfire exposure into routine patient histories and to provide vulnerable patients — such as those with asthma, chronic obstructive pulmonary disease, heart failure, or pregnancy — with smoke-season action plans.

Risk mitigation begins with awareness, according to Wu, who advised individuals check their local air quality index on AirNow.gov or PurpleAir.

On smoky days, she suggested prioritizing indoor air quality by keeping windows closed and running air purifiers. If going outside on such days is necessary, she suggested an N95 or KN95 mask, as these offer “meaningful protection,” while cloth and surgical masks do not.

These preventive steps may have once been out of the ordinary, Wu said, but the risk for wildfire smoke exposure is becoming a part of everyday life.

“The common thread is a shift in framing,” Wu said. “Wildfire smoke has traditionally been treated as an acute event, but the emerging evidence points to a chronic environmental exposure. Both our clinical and public health systems have room to grow into that reality.”

The analysis was funded by the National Institutes of Health. The investigators and Wu reported having no conflicts of interest.

This article was previously published on Medscape.

Wildfire smoke exposure may be associated with increased risks for multiple types of cancer, suggests an analysis of prospective cohort data from over 90,000 individuals.

To determine how this widespread pollution might be affecting cancer risk, senior author Shuguang Leng, MBBS, PhD, and colleagues analyzed data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. That prospective national study enrolled approximately 154,000 participants between 1993 and 2001 and tracked cancer incidence through 2018. Of these, 91,460 participants had wildfire smoke exposure data and were included in the analysis.

During the 2006-2018 exposure period, the investigators identified incident cases of 242 ovarian, 800 colorectal, 896 bladder, 1696 hematopoietic, 1739 breast, and 1758 lung cancers, as well as 1127 melanoma cases. The median 36-month moving average for wildfire smoke PM_2.5 (fine particulate matter) across the cohort was 0.37 µg/m³.

Wildfire smoke exposure was significantly associated with increased risks for lung, colorectal, breast, bladder, and hematopoietic cancer, according to the results of the study presented by Leng at American Association for Cancer Research (AACR) Annual Meeting 2026.

Each 1 µg/m³ increase in the 36-month moving average of wildfire smoke PM_2.5 was associated with a 63% higher risk for hematopoietic cancer (HR, 1.63; 95% CI, 1.02-2.60), a nearly twofold higher risk for lung cancer (hazard ratio [HR], 1.92; 95% CI, 1.18-3.15), more than twofold higher risks for breast cancer (HR, 2.09; 95% CI, 1.34-3.26) and colorectal cancer (HR, 2.31; 95% CI, 1.11-4.81), and a more than threefold higher risk for bladder cancer (HR, 3.49; 95% CI, 1.66-7.34). No significant associations were observed for ovarian cancer or melanoma.

The investigators quantified wildfire smoke exposure at each participant’s residence on a monthly basis using three measures: near-ground wildfire smoke PM_2.5, wildfire smoke black carbon, and satellite-derived wildfire smoke plume-day counts, with measurements available from 2006 until first cancer diagnosis or last contact.

Given evidence that 3 years of air pollution exposure can influence the development of epidermal growth factor receptor-positive lung adenocarcinoma, the team modeled exposure as a time-varying variable using 36-month moving averages preceding each month. HRs were estimated using Cox proportional hazards models stratified by study center, with restricted cubic splines applied to evaluate dose-response relationships. Models were adjusted for age, sex, race and ethnicity, education, smoking history, BMI, and trial arm.

All five cancer types linked with wildfire smoke exposure showed linear dose-response relationships, Leng noted, “which means the higher the exposure, the higher the cancer risk.”

Results based on wildfire smoke plume-day counts were generally consistent with those for PM_2.5, while associations for black carbon exposure were observed only for breast and bladder cancers.

With wildfires on the rise, these findings suggest that the resulting smoke may become a “major driver for cancer burden in the US in the coming decades,” said Leng, of the University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.

“Wildfire smoke has become a major source of air pollution in the United States,” he continued. Large fires in the US are three times more common than they were 50 years ago, and the “tons of toxicants and particles” released by these fires “can travel hundreds of miles to affect communities far away.”

The investigators also conducted histology-specific analyses, finding that adenocarcinoma showed the strongest association with wildfire smoke among lung cancer subtypes. Among colorectal cancers, proximal tumors appeared more sensitive to wildfire smoke exposure, while among bladder cancers, the association was strongest for muscle-invasive disease.

Wildfire Smoke Exposure Expected to Rise

Under even the most conservative climate projections, wildfire smoke exposure in the US is expected to rise over the next 20-30 years, Leng said.

Annual average wildfire smoke PM_2.5 levels, currently estimated at around 0.5 µg/m³, could rise to 1 µg/m³. Based on the study’s dose-response data, this would correspond to substantially greater cancer risk.

There will be “a much larger area” of the US exposed “at a much higher dose,” Leng predicted.

Mitigating the Risks of Wildfire Smoke

This is a “strong hypothesis-generating study,” Jun Wu, PhD, professor of environmental and occupational health at the UC Irvine Program in Public Health, Irvine, California, told Medscape Medical News.

“This is one of the first large, prospective US cohort studies to examine wildfire smoke specifically in relation to cancer risk, especially cancer sites beyond the lung,” Wu said. “A major strength is that the PLCO platform has around 91,000 participants with longitudinal follow-up and detailed covariate data, including smoking history, which is often a weak point in previous air pollution-cancer studies.”

According to Wu, who was not involved in the analysis but recently published data linking wildfire smoke exposure to preterm birth, the reported risks for colorectal, breast, bladder, and hematopoietic cancers represent novel contributions to the literature. However, she cautioned against viewing the specific HRs as a precise estimates of risk due to wide confidence intervals.

The findings should encourage individuals, public health officials, and clinicians to mitigate the risks of wildfire smoke, Wu said.

Specifically, she suggested that public health assessments expand beyond acute outcomes like emergency department visits to include long-term endpoints such as cancer, while community clean-air shelters need to be made more widely available.

She advised clinicians to incorporate wildfire exposure into routine patient histories and to provide vulnerable patients — such as those with asthma, chronic obstructive pulmonary disease, heart failure, or pregnancy — with smoke-season action plans.

Risk mitigation begins with awareness, according to Wu, who advised individuals check their local air quality index on AirNow.gov or PurpleAir.

On smoky days, she suggested prioritizing indoor air quality by keeping windows closed and running air purifiers. If going outside on such days is necessary, she suggested an N95 or KN95 mask, as these offer “meaningful protection,” while cloth and surgical masks do not.

These preventive steps may have once been out of the ordinary, Wu said, but the risk for wildfire smoke exposure is becoming a part of everyday life.

“The common thread is a shift in framing,” Wu said. “Wildfire smoke has traditionally been treated as an acute event, but the emerging evidence points to a chronic environmental exposure. Both our clinical and public health systems have room to grow into that reality.”

The analysis was funded by the National Institutes of Health. The investigators and Wu reported having no conflicts of interest.

This article was previously published on Medscape.

Wildfire smoke exposure may be associated with increased risks for multiple types of cancer, suggests an analysis of prospective cohort data from over 90,000 individuals.

To determine how this widespread pollution might be affecting cancer risk, senior author Shuguang Leng, MBBS, PhD, and colleagues analyzed data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. That prospective national study enrolled approximately 154,000 participants between 1993 and 2001 and tracked cancer incidence through 2018. Of these, 91,460 participants had wildfire smoke exposure data and were included in the analysis.

During the 2006-2018 exposure period, the investigators identified incident cases of 242 ovarian, 800 colorectal, 896 bladder, 1696 hematopoietic, 1739 breast, and 1758 lung cancers, as well as 1127 melanoma cases. The median 36-month moving average for wildfire smoke PM_2.5 (fine particulate matter) across the cohort was 0.37 µg/m³.

Wildfire smoke exposure was significantly associated with increased risks for lung, colorectal, breast, bladder, and hematopoietic cancer, according to the results of the study presented by Leng at American Association for Cancer Research (AACR) Annual Meeting 2026.

Each 1 µg/m³ increase in the 36-month moving average of wildfire smoke PM_2.5 was associated with a 63% higher risk for hematopoietic cancer (HR, 1.63; 95% CI, 1.02-2.60), a nearly twofold higher risk for lung cancer (hazard ratio [HR], 1.92; 95% CI, 1.18-3.15), more than twofold higher risks for breast cancer (HR, 2.09; 95% CI, 1.34-3.26) and colorectal cancer (HR, 2.31; 95% CI, 1.11-4.81), and a more than threefold higher risk for bladder cancer (HR, 3.49; 95% CI, 1.66-7.34). No significant associations were observed for ovarian cancer or melanoma.

The investigators quantified wildfire smoke exposure at each participant’s residence on a monthly basis using three measures: near-ground wildfire smoke PM_2.5, wildfire smoke black carbon, and satellite-derived wildfire smoke plume-day counts, with measurements available from 2006 until first cancer diagnosis or last contact.

Given evidence that 3 years of air pollution exposure can influence the development of epidermal growth factor receptor-positive lung adenocarcinoma, the team modeled exposure as a time-varying variable using 36-month moving averages preceding each month. HRs were estimated using Cox proportional hazards models stratified by study center, with restricted cubic splines applied to evaluate dose-response relationships. Models were adjusted for age, sex, race and ethnicity, education, smoking history, BMI, and trial arm.

All five cancer types linked with wildfire smoke exposure showed linear dose-response relationships, Leng noted, “which means the higher the exposure, the higher the cancer risk.”

Results based on wildfire smoke plume-day counts were generally consistent with those for PM_2.5, while associations for black carbon exposure were observed only for breast and bladder cancers.

With wildfires on the rise, these findings suggest that the resulting smoke may become a “major driver for cancer burden in the US in the coming decades,” said Leng, of the University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.

“Wildfire smoke has become a major source of air pollution in the United States,” he continued. Large fires in the US are three times more common than they were 50 years ago, and the “tons of toxicants and particles” released by these fires “can travel hundreds of miles to affect communities far away.”

The investigators also conducted histology-specific analyses, finding that adenocarcinoma showed the strongest association with wildfire smoke among lung cancer subtypes. Among colorectal cancers, proximal tumors appeared more sensitive to wildfire smoke exposure, while among bladder cancers, the association was strongest for muscle-invasive disease.

Wildfire Smoke Exposure Expected to Rise

Under even the most conservative climate projections, wildfire smoke exposure in the US is expected to rise over the next 20-30 years, Leng said.

Annual average wildfire smoke PM_2.5 levels, currently estimated at around 0.5 µg/m³, could rise to 1 µg/m³. Based on the study’s dose-response data, this would correspond to substantially greater cancer risk.

There will be “a much larger area” of the US exposed “at a much higher dose,” Leng predicted.

Mitigating the Risks of Wildfire Smoke

This is a “strong hypothesis-generating study,” Jun Wu, PhD, professor of environmental and occupational health at the UC Irvine Program in Public Health, Irvine, California, told Medscape Medical News.

“This is one of the first large, prospective US cohort studies to examine wildfire smoke specifically in relation to cancer risk, especially cancer sites beyond the lung,” Wu said. “A major strength is that the PLCO platform has around 91,000 participants with longitudinal follow-up and detailed covariate data, including smoking history, which is often a weak point in previous air pollution-cancer studies.”

According to Wu, who was not involved in the analysis but recently published data linking wildfire smoke exposure to preterm birth, the reported risks for colorectal, breast, bladder, and hematopoietic cancers represent novel contributions to the literature. However, she cautioned against viewing the specific HRs as a precise estimates of risk due to wide confidence intervals.

The findings should encourage individuals, public health officials, and clinicians to mitigate the risks of wildfire smoke, Wu said.

Specifically, she suggested that public health assessments expand beyond acute outcomes like emergency department visits to include long-term endpoints such as cancer, while community clean-air shelters need to be made more widely available.

She advised clinicians to incorporate wildfire exposure into routine patient histories and to provide vulnerable patients — such as those with asthma, chronic obstructive pulmonary disease, heart failure, or pregnancy — with smoke-season action plans.

Risk mitigation begins with awareness, according to Wu, who advised individuals check their local air quality index on AirNow.gov or PurpleAir.

On smoky days, she suggested prioritizing indoor air quality by keeping windows closed and running air purifiers. If going outside on such days is necessary, she suggested an N95 or KN95 mask, as these offer “meaningful protection,” while cloth and surgical masks do not.

These preventive steps may have once been out of the ordinary, Wu said, but the risk for wildfire smoke exposure is becoming a part of everyday life.

“The common thread is a shift in framing,” Wu said. “Wildfire smoke has traditionally been treated as an acute event, but the emerging evidence points to a chronic environmental exposure. Both our clinical and public health systems have room to grow into that reality.”

The analysis was funded by the National Institutes of Health. The investigators and Wu reported having no conflicts of interest.

This article was previously published on Medscape.

TOPLINE: In 75,453 veterans with head and neck squamous cell carcinoma (HNSCC), 36.4% live in rural or highly rural areas and 32.0% have a national area deprivation index (ADI) ≥ 75. The average drive time to the nearest tertiary or complex US Department of Veterans Affairs (VA) facility is 94 minutes, highlighting potential access and equity barriers related to rurality, deprivation, and distance.

METHODOLOGY:

• A retrospective descriptive study using nationwide VA data from fiscal years 2012 to 2022 identified 75,453 veterans with head and neck squamous cell carcinoma (HNSCC) by International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes.

• Patients were grouped into 5 primary tumor subsites: oral cavity, oropharynx, hypopharynx, larynx, and nasopharynx.

• Rurality was classified using Rural-Urban Commuting Area-derived urban, rural, and highly rural scores; socioeconomic disadvantage was measured with national ADI scores.

• Travel burden was assessed using time and distance to the nearest primary, secondary, and tertiary VA facilities.

TAKEAWAY:

• Oropharyngeal cancer (OPC) cases among veterans increased from 26.3% in 2012 to 46.0% in 2022, while laryngeal cancers decreased from 41.2% to 29.3%.

• HNSCCs locations included 35.6% in the larynx, 34.4% in the oropharynx, 22.6% in the oral cavity 3.7% in the hypopharynx, and 3.7% in the nasopharynx.

• Veterans with OPC were younger than non-OPC patients and more likely to be White; > 70% were current or former smokers.

IN PRACTICE: “Understanding the geographic and socioeconomic landscape of veterans with HNSCC will allow us to tease out the factors associated with poor outcomes and ultimately design interventions that target high-risk veteran populations to improve overall health outcomes,” the authors argued.

SOURCE: The study was led by researchers at the Veterans Affairs Pittsburgh Healthcare System. It was published online in Head & Neck.

LIMITATIONS: The inability to extract accurate data from a large dataset, challenges in obtaining tumor stage information due to varying documentation practices across physicians and treatment courses, and the inability to assess HPV or p16 data for the cohort represents significant limitations that may have impacted interpretation of results. Clinical outcome measures and cause of death assessment were limited in this national database, affecting the ability to draw conclusions regarding the impact of rurality, area deprivation, and travel time on outcomes.

DISCLOSURES: Chad Brenner reported holding several patents related to the development and use of circulating tumor DNA tests in patients with HNSCC. Jose P. Zevallos disclosed being the founder, equity shareholder, and board member of Droplet Biosciences and Echogenesis Therapeutics, serving as chief scientific advisor and shareholder of Vine Medical, and acting as a consultant for Merck and Johnson & Johnson. Matthew E. Spector reported serving as a consultant for Hologic. Kristen L. Zayan, Jennifer L. McCoy, Monique Y. Boudreaux-Kelly, Zachary Hahn, John Hotchkiss, and Jessica H. Maxwell declared no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

TOPLINE: In 75,453 veterans with head and neck squamous cell carcinoma (HNSCC), 36.4% live in rural or highly rural areas and 32.0% have a national area deprivation index (ADI) ≥ 75. The average drive time to the nearest tertiary or complex US Department of Veterans Affairs (VA) facility is 94 minutes, highlighting potential access and equity barriers related to rurality, deprivation, and distance.

METHODOLOGY:

• A retrospective descriptive study using nationwide VA data from fiscal years 2012 to 2022 identified 75,453 veterans with head and neck squamous cell carcinoma (HNSCC) by International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes.

• Patients were grouped into 5 primary tumor subsites: oral cavity, oropharynx, hypopharynx, larynx, and nasopharynx.

• Rurality was classified using Rural-Urban Commuting Area-derived urban, rural, and highly rural scores; socioeconomic disadvantage was measured with national ADI scores.

• Travel burden was assessed using time and distance to the nearest primary, secondary, and tertiary VA facilities.

TAKEAWAY:

• Oropharyngeal cancer (OPC) cases among veterans increased from 26.3% in 2012 to 46.0% in 2022, while laryngeal cancers decreased from 41.2% to 29.3%.

• HNSCCs locations included 35.6% in the larynx, 34.4% in the oropharynx, 22.6% in the oral cavity 3.7% in the hypopharynx, and 3.7% in the nasopharynx.

• Veterans with OPC were younger than non-OPC patients and more likely to be White; > 70% were current or former smokers.

IN PRACTICE: “Understanding the geographic and socioeconomic landscape of veterans with HNSCC will allow us to tease out the factors associated with poor outcomes and ultimately design interventions that target high-risk veteran populations to improve overall health outcomes,” the authors argued.

SOURCE: The study was led by researchers at the Veterans Affairs Pittsburgh Healthcare System. It was published online in Head & Neck.

LIMITATIONS: The inability to extract accurate data from a large dataset, challenges in obtaining tumor stage information due to varying documentation practices across physicians and treatment courses, and the inability to assess HPV or p16 data for the cohort represents significant limitations that may have impacted interpretation of results. Clinical outcome measures and cause of death assessment were limited in this national database, affecting the ability to draw conclusions regarding the impact of rurality, area deprivation, and travel time on outcomes.

DISCLOSURES: Chad Brenner reported holding several patents related to the development and use of circulating tumor DNA tests in patients with HNSCC. Jose P. Zevallos disclosed being the founder, equity shareholder, and board member of Droplet Biosciences and Echogenesis Therapeutics, serving as chief scientific advisor and shareholder of Vine Medical, and acting as a consultant for Merck and Johnson & Johnson. Matthew E. Spector reported serving as a consultant for Hologic. Kristen L. Zayan, Jennifer L. McCoy, Monique Y. Boudreaux-Kelly, Zachary Hahn, John Hotchkiss, and Jessica H. Maxwell declared no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

TOPLINE: In 75,453 veterans with head and neck squamous cell carcinoma (HNSCC), 36.4% live in rural or highly rural areas and 32.0% have a national area deprivation index (ADI) ≥ 75. The average drive time to the nearest tertiary or complex US Department of Veterans Affairs (VA) facility is 94 minutes, highlighting potential access and equity barriers related to rurality, deprivation, and distance.

METHODOLOGY:

• A retrospective descriptive study using nationwide VA data from fiscal years 2012 to 2022 identified 75,453 veterans with head and neck squamous cell carcinoma (HNSCC) by International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes.

• Patients were grouped into 5 primary tumor subsites: oral cavity, oropharynx, hypopharynx, larynx, and nasopharynx.

• Rurality was classified using Rural-Urban Commuting Area-derived urban, rural, and highly rural scores; socioeconomic disadvantage was measured with national ADI scores.

• Travel burden was assessed using time and distance to the nearest primary, secondary, and tertiary VA facilities.

TAKEAWAY:

• Oropharyngeal cancer (OPC) cases among veterans increased from 26.3% in 2012 to 46.0% in 2022, while laryngeal cancers decreased from 41.2% to 29.3%.

• HNSCCs locations included 35.6% in the larynx, 34.4% in the oropharynx, 22.6% in the oral cavity 3.7% in the hypopharynx, and 3.7% in the nasopharynx.

• Veterans with OPC were younger than non-OPC patients and more likely to be White; > 70% were current or former smokers.

IN PRACTICE: “Understanding the geographic and socioeconomic landscape of veterans with HNSCC will allow us to tease out the factors associated with poor outcomes and ultimately design interventions that target high-risk veteran populations to improve overall health outcomes,” the authors argued.

SOURCE: The study was led by researchers at the Veterans Affairs Pittsburgh Healthcare System. It was published online in Head & Neck.

LIMITATIONS: The inability to extract accurate data from a large dataset, challenges in obtaining tumor stage information due to varying documentation practices across physicians and treatment courses, and the inability to assess HPV or p16 data for the cohort represents significant limitations that may have impacted interpretation of results. Clinical outcome measures and cause of death assessment were limited in this national database, affecting the ability to draw conclusions regarding the impact of rurality, area deprivation, and travel time on outcomes.

DISCLOSURES: Chad Brenner reported holding several patents related to the development and use of circulating tumor DNA tests in patients with HNSCC. Jose P. Zevallos disclosed being the founder, equity shareholder, and board member of Droplet Biosciences and Echogenesis Therapeutics, serving as chief scientific advisor and shareholder of Vine Medical, and acting as a consultant for Merck and Johnson & Johnson. Matthew E. Spector reported serving as a consultant for Hologic. Kristen L. Zayan, Jennifer L. McCoy, Monique Y. Boudreaux-Kelly, Zachary Hahn, John Hotchkiss, and Jessica H. Maxwell declared no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Adults who have never been married had a higher cancer risk than their married or previously married peers, with patterns observed across many major cancer types and particularly strong for cancers linked to infections, smoking, and reproductive factors, new data suggest.

The findings are based on a large, population-based cancer registry analysis of more than 4 million cases, making it the largest study of its kind in the US.

First author Paulo Pinheiro, PhD, cautioned, however, that the study does not suggest that marriage itself is protective.

"As with any observational study, we cannot establish causation, and unmeasured factors may contribute to the associations,” said Pinheiro, with Sylvester Comprehensive Cancer Center, University of Miami Health System, in Miami.

Marital status may, however, help identify groups with different patterns of cancer risk, which likely reflect social and lifestyle behaviors rather than a direct causal effect, Pinheiro explained.

Married individuals, for instance, are less likely to smoke — a known cancer risk factor — and more likely to have children and undergo cancer screening, which can influence cancer incidence through reproductive effects and screening, including earlier detection and removal of precancerous lesions.

"Marital status is therefore best understood as a marker of those accumulated factors," Pinheiro said.

The study was published online on April 8 in Cancer Research Communications.

Filling a Data Gap

Marriage has consistently been associated with earlier cancer diagnosis and improved survival among those with cancer, but its relationship to cancer incidence remains less clear.

To address that gap, researchers analyzed data from 12 US states that included demographic and cancer information for more than 4.2 million cancer cases diagnosed between 2015 and 2022.

The analysis included more than 500 million person-years at risk in adults 30 years or older, representing an annual population of more than 62 million. The never-married group comprised about 19% of the total population — 22% were men and 17% were women.

Compared with ever-married individuals, never-married men and women had higher cancer incidence across many major cancer types, racial and ethnic groups, and age groups.

Overall, cancer rates were about 68% higher in never-married men and 85% higher in never-married women compared with their ever-married counterparts (incidence rate ratios [IRRs], 1.68 and 1.85, respectively).

Never-married Black men had the highest overall cancer rates (1600 per 100,000), whereas married Black men had significantly lower rates than married White men (752.6 vs 836.2 per 100,000), suggesting complex interactions between marital status and structural factors, the researchers noted.

Site-specific patterns revealed clues to potential mechanisms linking marital status and cancer.

Compared with ever-married individuals, never-married people had the highest excess risks for human papillomavirus-related cancers — about five times higher for anal cancer in men (IRR, 5.04) and approaching three times higher for cervical cancer in women (IRR, 2.64).

Other strong associations between never-married individuals and cancer risk were observed for smoking-related cancers, including lung (IRR, 2.1 for both men and women) and esophageal cancers (IRR, 2.4 in men and 2.7 in women), and malignancies including liver (IRR, 2.3 for both men and women), bladder (IRR, 2.3 women only), and colorectal (IRR, 2.1 women only) cancers.

Among women, the higher incidence of ovarian and uterine cancers (IRR, 2.4 for both) among the never-married group supports the influence of reproductive mechanisms, such as giving birth, on cancer risk.

The association between marital status and cancer risk was weaker for breast, prostate, and thyroid cancers (with IRRs < 2), suggesting potentially less modifiable etiologies.

Overall, “methodologically, it is quite robust, particularly in its clear framing of ever- vs never-married individuals and the use of standardized incidence rates and regression modeling,” Pinheiro said.

The analysis did not adjust for individual-level risk factors such as smoking, diet, physical activity, or alcohol use — factors that may partly explain the observed associations.

Adjusting for these lifestyle and health behavior factors at the individual level would require detailed information on these behaviors, and “data at that level simply do not exist at a national scale,” Pinheiro said. It would also “obscure the real-world pattern we are trying to measure.”

Gilbert Welch, MD, noted that adjusting for these individual-level cancer risk factors “would certainly attenuate the associations.”

“That said, it wouldn’t be crazy to suggest marriage drives some of these risk factors,” said Welch, general internist and senior investigator at the Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston. Married couples benefit from combined incomes and shared expenses, and “may well help support individuals in making healthy choices (like not smoking).”

But, he added, “it would be crazy to suggest that the reason to get married is to lower cancer risk.”

The authors flagged a study limitation — the fact that ever-married status lumps together people who are currently married, divorced, and widowed, and these groups may have different risk profiles. Additionally, “individuals in strained or abusive marriages may not experience protective social benefits,” while those in long-term cohabiting relationships classified as never-married may experience high levels of support, the authors wrote.

Overall, though, Pinheiro clarified that the main finding is “not about marriage as a causal agent, but about identifying a large population group, the never-married, with a consistently higher cancer burden that has been largely overlooked in public health practice and cancer prevention efforts.”

Linda Waite, professor, Department of Sociology, University of Chicago, who wasn’t involved in the study, wasn’t surprised by the findings. For men, not having a spouse may “disadvantage” them in ways that might increase cancer risk.

Unmarried men are more likely to drink and smoke heavily, which increase cancer risk, she said. A spouse may also influence health awareness and decisions, such as noticing suspicious symptoms, pushing their partner to see a doctor, or helping manage their partner’s care.

Plus, “for both men and women, having a spouse may improve medical care by giving each partner a companion for medical appointments and another person to help manage risks of disease,” Waite said.

The study had no commercial funding. Pinheiro and Waite had no relevant disclosures.

A version of this article first appeared on Medscape.com.

Adults who have never been married had a higher cancer risk than their married or previously married peers, with patterns observed across many major cancer types and particularly strong for cancers linked to infections, smoking, and reproductive factors, new data suggest.

The findings are based on a large, population-based cancer registry analysis of more than 4 million cases, making it the largest study of its kind in the US.

First author Paulo Pinheiro, PhD, cautioned, however, that the study does not suggest that marriage itself is protective.

"As with any observational study, we cannot establish causation, and unmeasured factors may contribute to the associations,” said Pinheiro, with Sylvester Comprehensive Cancer Center, University of Miami Health System, in Miami.

Marital status may, however, help identify groups with different patterns of cancer risk, which likely reflect social and lifestyle behaviors rather than a direct causal effect, Pinheiro explained.

Married individuals, for instance, are less likely to smoke — a known cancer risk factor — and more likely to have children and undergo cancer screening, which can influence cancer incidence through reproductive effects and screening, including earlier detection and removal of precancerous lesions.

"Marital status is therefore best understood as a marker of those accumulated factors," Pinheiro said.

The study was published online on April 8 in Cancer Research Communications.

Filling a Data Gap

Marriage has consistently been associated with earlier cancer diagnosis and improved survival among those with cancer, but its relationship to cancer incidence remains less clear.

To address that gap, researchers analyzed data from 12 US states that included demographic and cancer information for more than 4.2 million cancer cases diagnosed between 2015 and 2022.

The analysis included more than 500 million person-years at risk in adults 30 years or older, representing an annual population of more than 62 million. The never-married group comprised about 19% of the total population — 22% were men and 17% were women.

Compared with ever-married individuals, never-married men and women had higher cancer incidence across many major cancer types, racial and ethnic groups, and age groups.

Overall, cancer rates were about 68% higher in never-married men and 85% higher in never-married women compared with their ever-married counterparts (incidence rate ratios [IRRs], 1.68 and 1.85, respectively).

Never-married Black men had the highest overall cancer rates (1600 per 100,000), whereas married Black men had significantly lower rates than married White men (752.6 vs 836.2 per 100,000), suggesting complex interactions between marital status and structural factors, the researchers noted.

Site-specific patterns revealed clues to potential mechanisms linking marital status and cancer.

Compared with ever-married individuals, never-married people had the highest excess risks for human papillomavirus-related cancers — about five times higher for anal cancer in men (IRR, 5.04) and approaching three times higher for cervical cancer in women (IRR, 2.64).

Other strong associations between never-married individuals and cancer risk were observed for smoking-related cancers, including lung (IRR, 2.1 for both men and women) and esophageal cancers (IRR, 2.4 in men and 2.7 in women), and malignancies including liver (IRR, 2.3 for both men and women), bladder (IRR, 2.3 women only), and colorectal (IRR, 2.1 women only) cancers.

Among women, the higher incidence of ovarian and uterine cancers (IRR, 2.4 for both) among the never-married group supports the influence of reproductive mechanisms, such as giving birth, on cancer risk.

The association between marital status and cancer risk was weaker for breast, prostate, and thyroid cancers (with IRRs < 2), suggesting potentially less modifiable etiologies.

Overall, “methodologically, it is quite robust, particularly in its clear framing of ever- vs never-married individuals and the use of standardized incidence rates and regression modeling,” Pinheiro said.

The analysis did not adjust for individual-level risk factors such as smoking, diet, physical activity, or alcohol use — factors that may partly explain the observed associations.

Adjusting for these lifestyle and health behavior factors at the individual level would require detailed information on these behaviors, and “data at that level simply do not exist at a national scale,” Pinheiro said. It would also “obscure the real-world pattern we are trying to measure.”

Gilbert Welch, MD, noted that adjusting for these individual-level cancer risk factors “would certainly attenuate the associations.”

“That said, it wouldn’t be crazy to suggest marriage drives some of these risk factors,” said Welch, general internist and senior investigator at the Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston. Married couples benefit from combined incomes and shared expenses, and “may well help support individuals in making healthy choices (like not smoking).”

But, he added, “it would be crazy to suggest that the reason to get married is to lower cancer risk.”

The authors flagged a study limitation — the fact that ever-married status lumps together people who are currently married, divorced, and widowed, and these groups may have different risk profiles. Additionally, “individuals in strained or abusive marriages may not experience protective social benefits,” while those in long-term cohabiting relationships classified as never-married may experience high levels of support, the authors wrote.

Overall, though, Pinheiro clarified that the main finding is “not about marriage as a causal agent, but about identifying a large population group, the never-married, with a consistently higher cancer burden that has been largely overlooked in public health practice and cancer prevention efforts.”

Linda Waite, professor, Department of Sociology, University of Chicago, who wasn’t involved in the study, wasn’t surprised by the findings. For men, not having a spouse may “disadvantage” them in ways that might increase cancer risk.

Unmarried men are more likely to drink and smoke heavily, which increase cancer risk, she said. A spouse may also influence health awareness and decisions, such as noticing suspicious symptoms, pushing their partner to see a doctor, or helping manage their partner’s care.

Plus, “for both men and women, having a spouse may improve medical care by giving each partner a companion for medical appointments and another person to help manage risks of disease,” Waite said.

The study had no commercial funding. Pinheiro and Waite had no relevant disclosures.

A version of this article first appeared on Medscape.com.

Adults who have never been married had a higher cancer risk than their married or previously married peers, with patterns observed across many major cancer types and particularly strong for cancers linked to infections, smoking, and reproductive factors, new data suggest.

The findings are based on a large, population-based cancer registry analysis of more than 4 million cases, making it the largest study of its kind in the US.

First author Paulo Pinheiro, PhD, cautioned, however, that the study does not suggest that marriage itself is protective.

"As with any observational study, we cannot establish causation, and unmeasured factors may contribute to the associations,” said Pinheiro, with Sylvester Comprehensive Cancer Center, University of Miami Health System, in Miami.

Marital status may, however, help identify groups with different patterns of cancer risk, which likely reflect social and lifestyle behaviors rather than a direct causal effect, Pinheiro explained.

Married individuals, for instance, are less likely to smoke — a known cancer risk factor — and more likely to have children and undergo cancer screening, which can influence cancer incidence through reproductive effects and screening, including earlier detection and removal of precancerous lesions.

"Marital status is therefore best understood as a marker of those accumulated factors," Pinheiro said.

The study was published online on April 8 in Cancer Research Communications.

Filling a Data Gap

Marriage has consistently been associated with earlier cancer diagnosis and improved survival among those with cancer, but its relationship to cancer incidence remains less clear.

To address that gap, researchers analyzed data from 12 US states that included demographic and cancer information for more than 4.2 million cancer cases diagnosed between 2015 and 2022.

The analysis included more than 500 million person-years at risk in adults 30 years or older, representing an annual population of more than 62 million. The never-married group comprised about 19% of the total population — 22% were men and 17% were women.

Compared with ever-married individuals, never-married men and women had higher cancer incidence across many major cancer types, racial and ethnic groups, and age groups.

Overall, cancer rates were about 68% higher in never-married men and 85% higher in never-married women compared with their ever-married counterparts (incidence rate ratios [IRRs], 1.68 and 1.85, respectively).

Never-married Black men had the highest overall cancer rates (1600 per 100,000), whereas married Black men had significantly lower rates than married White men (752.6 vs 836.2 per 100,000), suggesting complex interactions between marital status and structural factors, the researchers noted.

Site-specific patterns revealed clues to potential mechanisms linking marital status and cancer.

Compared with ever-married individuals, never-married people had the highest excess risks for human papillomavirus-related cancers — about five times higher for anal cancer in men (IRR, 5.04) and approaching three times higher for cervical cancer in women (IRR, 2.64).

Other strong associations between never-married individuals and cancer risk were observed for smoking-related cancers, including lung (IRR, 2.1 for both men and women) and esophageal cancers (IRR, 2.4 in men and 2.7 in women), and malignancies including liver (IRR, 2.3 for both men and women), bladder (IRR, 2.3 women only), and colorectal (IRR, 2.1 women only) cancers.

Among women, the higher incidence of ovarian and uterine cancers (IRR, 2.4 for both) among the never-married group supports the influence of reproductive mechanisms, such as giving birth, on cancer risk.

The association between marital status and cancer risk was weaker for breast, prostate, and thyroid cancers (with IRRs < 2), suggesting potentially less modifiable etiologies.

Overall, “methodologically, it is quite robust, particularly in its clear framing of ever- vs never-married individuals and the use of standardized incidence rates and regression modeling,” Pinheiro said.

The analysis did not adjust for individual-level risk factors such as smoking, diet, physical activity, or alcohol use — factors that may partly explain the observed associations.

Adjusting for these lifestyle and health behavior factors at the individual level would require detailed information on these behaviors, and “data at that level simply do not exist at a national scale,” Pinheiro said. It would also “obscure the real-world pattern we are trying to measure.”

Gilbert Welch, MD, noted that adjusting for these individual-level cancer risk factors “would certainly attenuate the associations.”

“That said, it wouldn’t be crazy to suggest marriage drives some of these risk factors,” said Welch, general internist and senior investigator at the Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston. Married couples benefit from combined incomes and shared expenses, and “may well help support individuals in making healthy choices (like not smoking).”

But, he added, “it would be crazy to suggest that the reason to get married is to lower cancer risk.”

The authors flagged a study limitation — the fact that ever-married status lumps together people who are currently married, divorced, and widowed, and these groups may have different risk profiles. Additionally, “individuals in strained or abusive marriages may not experience protective social benefits,” while those in long-term cohabiting relationships classified as never-married may experience high levels of support, the authors wrote.

Overall, though, Pinheiro clarified that the main finding is “not about marriage as a causal agent, but about identifying a large population group, the never-married, with a consistently higher cancer burden that has been largely overlooked in public health practice and cancer prevention efforts.”

Linda Waite, professor, Department of Sociology, University of Chicago, who wasn’t involved in the study, wasn’t surprised by the findings. For men, not having a spouse may “disadvantage” them in ways that might increase cancer risk.

Unmarried men are more likely to drink and smoke heavily, which increase cancer risk, she said. A spouse may also influence health awareness and decisions, such as noticing suspicious symptoms, pushing their partner to see a doctor, or helping manage their partner’s care.

Plus, “for both men and women, having a spouse may improve medical care by giving each partner a companion for medical appointments and another person to help manage risks of disease,” Waite said.

The study had no commercial funding. Pinheiro and Waite had no relevant disclosures.

A version of this article first appeared on Medscape.com.

After a nearly 3-year pause, the US Department of Veterans Affairs (VA) is again ramping up the rollout of its new federal electronic health records (EHR) system from Oracle-Cerner, which previously experienced various issues and led to numerous setbacks. On April 11, 2026, the federal EHR went live at 4 Michigan sites: VA Ann Arbor Healthcare System, VA Battle Creek Medical Center, VA Detroit Healthcare System, and VA Saginaw Healthcare System. 

VA officials have promised that things will be different this time, claiming it has fixed “hundreds of problems related to the initial rollout of the EHR system at the [6] original VA sites” and eliminated “the bureaucracy that was holding the project back.” At a press conference announcing the relaunch of the EHR rollout, VA Secretary Doug Collins said the old system cost the department hundreds of millions of dollars each year. He also said the VA has been too resistant to change at the expense of proper veteran health care.

“We’re all going to stay close to ensure that this is a smooth transition,” Collins said. “This needs to be a win for the VA patients.”

A VA Office of Inspector General (OIG) investigation found 360 major performance incidents—outages, performance degradations, and incomplete functionality—that occurred between October 24, 2020, and August 31, 2022. Additionally, an investigation by The Spokesman-Review and The Washington Post found that the EHR “played a role” in > 4400 cases of patient harm and 6 deaths.

VA Deputy Secretary Paul Lawrence said that the VA plans to stagger the release of the system, unlike in previous deployments. The agency intends to implement the EHR at 13 sites in 2026 and 26 in 2027, anticipating a pace of about 28 to 30 sites each year after that. 

The VA said it is also boosting staffing to ensure the transition goes smoothly and is in the process of hiring 400 employees. Other problems may arise, though. At the end of March laid off between 20,000 and 30,000. This prompted concerns that resources could be redirected from the VA EHR at a critical stage. 

After a nearly 3-year pause, the US Department of Veterans Affairs (VA) is again ramping up the rollout of its new federal electronic health records (EHR) system from Oracle-Cerner, which previously experienced various issues and led to numerous setbacks. On April 11, 2026, the federal EHR went live at 4 Michigan sites: VA Ann Arbor Healthcare System, VA Battle Creek Medical Center, VA Detroit Healthcare System, and VA Saginaw Healthcare System. 

VA officials have promised that things will be different this time, claiming it has fixed “hundreds of problems related to the initial rollout of the EHR system at the [6] original VA sites” and eliminated “the bureaucracy that was holding the project back.” At a press conference announcing the relaunch of the EHR rollout, VA Secretary Doug Collins said the old system cost the department hundreds of millions of dollars each year. He also said the VA has been too resistant to change at the expense of proper veteran health care.

“We’re all going to stay close to ensure that this is a smooth transition,” Collins said. “This needs to be a win for the VA patients.”

A VA Office of Inspector General (OIG) investigation found 360 major performance incidents—outages, performance degradations, and incomplete functionality—that occurred between October 24, 2020, and August 31, 2022. Additionally, an investigation by The Spokesman-Review and The Washington Post found that the EHR “played a role” in > 4400 cases of patient harm and 6 deaths.

VA Deputy Secretary Paul Lawrence said that the VA plans to stagger the release of the system, unlike in previous deployments. The agency intends to implement the EHR at 13 sites in 2026 and 26 in 2027, anticipating a pace of about 28 to 30 sites each year after that. 

The VA said it is also boosting staffing to ensure the transition goes smoothly and is in the process of hiring 400 employees. Other problems may arise, though. At the end of March laid off between 20,000 and 30,000. This prompted concerns that resources could be redirected from the VA EHR at a critical stage. 

After a nearly 3-year pause, the US Department of Veterans Affairs (VA) is again ramping up the rollout of its new federal electronic health records (EHR) system from Oracle-Cerner, which previously experienced various issues and led to numerous setbacks. On April 11, 2026, the federal EHR went live at 4 Michigan sites: VA Ann Arbor Healthcare System, VA Battle Creek Medical Center, VA Detroit Healthcare System, and VA Saginaw Healthcare System. 

VA officials have promised that things will be different this time, claiming it has fixed “hundreds of problems related to the initial rollout of the EHR system at the [6] original VA sites” and eliminated “the bureaucracy that was holding the project back.” At a press conference announcing the relaunch of the EHR rollout, VA Secretary Doug Collins said the old system cost the department hundreds of millions of dollars each year. He also said the VA has been too resistant to change at the expense of proper veteran health care.

“We’re all going to stay close to ensure that this is a smooth transition,” Collins said. “This needs to be a win for the VA patients.”

A VA Office of Inspector General (OIG) investigation found 360 major performance incidents—outages, performance degradations, and incomplete functionality—that occurred between October 24, 2020, and August 31, 2022. Additionally, an investigation by The Spokesman-Review and The Washington Post found that the EHR “played a role” in > 4400 cases of patient harm and 6 deaths.

VA Deputy Secretary Paul Lawrence said that the VA plans to stagger the release of the system, unlike in previous deployments. The agency intends to implement the EHR at 13 sites in 2026 and 26 in 2027, anticipating a pace of about 28 to 30 sites each year after that. 

The VA said it is also boosting staffing to ensure the transition goes smoothly and is in the process of hiring 400 employees. Other problems may arise, though. At the end of March laid off between 20,000 and 30,000. This prompted concerns that resources could be redirected from the VA EHR at a critical stage. 

Quality measures for primary care in the US Department of Veterans Affairs (VA) remained stable when telehealth was mixed with in-person visits, but influenza vaccination fell among patients who relied on online visits the most, a retrospective cohort study finds.

Analysis of the medical records for 744,599 veterans from federal fiscal years 2022 and 2023 revealed that patients aged 19-65 years who relied on telehealth for at least half of their primary care visits were less likely to receive an influenza vaccine (37.9%) compared with those seen only in person (50.0%, P < .001). The study was lead by researchers at VA Puget Sound and published in JAMA Network Open. 

There was also an influenza vaccination gap in patients aged ≥ 66 years: 62.8% in patients who received some care via telehealth telehealth vs 71.5% seen only in person, respectively (P < .001). 

“Our study showed that primary care quality at the VA is quite high,” Jonathan Staloff, MD, MSc, a family medicine physician with VA Puget Sound told Federal Practitioner. “And we found that for almost all quality measures, having a low proportion of care via telehealth was associated with the same quality as in-person care.”

As Staloff explained, “telehealth in primary care, as well as in general, has emerged as an additional means of preserving access to care for veterans. Evidence suggests that veterans have a high degree of satisfaction with telehealth but it’s mixed as it relates to quality outcome differences between those who receive any via telehealth vs none.”

For the study, Staloff said, “we wanted to see if there was a dose-response relationship between telehealth utilization and care quality and if certain hybrid models could help optimize quality of care. To our knowledge, this study was the first national evaluation to investigate primary care telehealth and care quality in this way.”

Reassuring Findings About Low Telehealth Use

For the study, researchers tracked a national sample of patient data from the Veterans Health Administration (VHA) Support Service Center Capital Assets Databases, Primary Care Management Module, and VHA Corporate Data Warehouse (mean age, 65 years; 86% male; 63% White, 22% Black, 10% Hispanic). 

The study defined categories of primary-care telehealth use as no telehealth, low telehealth (> 0.0% to < 28.6%), intermediate telehealth (28.6% to < 50.0%), and high telehealth (> 50.0%).

Highest Telehealth Use Raises Red Flags

The differences in influenza vaccine rates between the no-telehealth and high-telehealth groups held up in an adjusted analysis.

The study found small but statistically significant worsening of several quality measures in the high-telehealth use vs no-telehealth use cohorts: hypertension control, statin therapy and adherence, and annual screening for depression, alcohol use, and tobacco use.

The study cites limitations such as reliance on patients with ≥ 3 or more evaluation-and- management visits and lack of information about influenza vaccines delivered outside the VA. 

In a statement, VA Telehealth Services said it is “encouraged” the study demonstrates “equivalence in many clinical measures among veterans using telehealth. This study reinforces the potential of telehealth to provide high-quality health care to veterans.”

The organization added that it’s “committed to better understanding potential gaps highlighted in this study,” and “it is critical that research databases capture care rendered outside VA … and whether care was offered during a telehealth visit.”

Batching In-Person Services May Be Helpful

As for messages from the study for clinicians, Staloff said there are some preventive care measures that may be more difficult to deliver through telehealth.

“Clinicians should consider batching these in-person services for patients that have a high reliance on telehealth when they have an opportunity to see these patients in-person,” Staloff said. “Health systems may need new workflows to optimize hybrid care, particularly for those that receive most of their care via telehealth.”

Outside Perspective: ‘Access is Not the Same as Quality’

After reviewing the study findings, Ilana Graetz, PhD, a professor who studies health policy at the Emory University Rollins School of Public Health, praised the research design and said the results overall are “more reassuring than alarming.” However, she did caution that there could potentially be ways these patients differ that could not be categorized by the data.

“Patients with higher telehealth use may differ from those with lower telehealth use in important ways not fully captured in the data — barriers to in-person care, the complexity of the visit, patient preferences, or care received outside the system,” Graetz said.

As for the influenza vaccine, Graetz said patients need to be physically present: “Patients seen mostly by telehealth will have fewer opportunities to receive any preventive care that can only be delivered in person.”

Graetz said the study is timely given ongoing debates over COVID-19 pandemic-era telehealth flexibilities.

“The findings suggest that telehealth can function well as part of a hybrid primary care model,” she said, “but health systems still need to ensure that preventive services, chronic disease management, and follow-up care are not lost in the shift to virtual care.”

VHA Primary Care Analytics Team supported the study with funding from the VHA Office of Primary Care. Staloff has no disclosures. One coauthor disclosed a relationship with the US Department of Veterans Affairs. 

Graetz disclosed relationships the Donaghue Foundation, Pfizer, PRIME Education, and the National Institutes of Health. 

Quality measures for primary care in the US Department of Veterans Affairs (VA) remained stable when telehealth was mixed with in-person visits, but influenza vaccination fell among patients who relied on online visits the most, a retrospective cohort study finds.

Analysis of the medical records for 744,599 veterans from federal fiscal years 2022 and 2023 revealed that patients aged 19-65 years who relied on telehealth for at least half of their primary care visits were less likely to receive an influenza vaccine (37.9%) compared with those seen only in person (50.0%, P < .001). The study was lead by researchers at VA Puget Sound and published in JAMA Network Open. 

There was also an influenza vaccination gap in patients aged ≥ 66 years: 62.8% in patients who received some care via telehealth telehealth vs 71.5% seen only in person, respectively (P < .001). 

“Our study showed that primary care quality at the VA is quite high,” Jonathan Staloff, MD, MSc, a family medicine physician with VA Puget Sound told Federal Practitioner. “And we found that for almost all quality measures, having a low proportion of care via telehealth was associated with the same quality as in-person care.”

As Staloff explained, “telehealth in primary care, as well as in general, has emerged as an additional means of preserving access to care for veterans. Evidence suggests that veterans have a high degree of satisfaction with telehealth but it’s mixed as it relates to quality outcome differences between those who receive any via telehealth vs none.”

For the study, Staloff said, “we wanted to see if there was a dose-response relationship between telehealth utilization and care quality and if certain hybrid models could help optimize quality of care. To our knowledge, this study was the first national evaluation to investigate primary care telehealth and care quality in this way.”

Reassuring Findings About Low Telehealth Use

For the study, researchers tracked a national sample of patient data from the Veterans Health Administration (VHA) Support Service Center Capital Assets Databases, Primary Care Management Module, and VHA Corporate Data Warehouse (mean age, 65 years; 86% male; 63% White, 22% Black, 10% Hispanic). 

The study defined categories of primary-care telehealth use as no telehealth, low telehealth (> 0.0% to < 28.6%), intermediate telehealth (28.6% to < 50.0%), and high telehealth (> 50.0%).

Highest Telehealth Use Raises Red Flags

The differences in influenza vaccine rates between the no-telehealth and high-telehealth groups held up in an adjusted analysis.

The study found small but statistically significant worsening of several quality measures in the high-telehealth use vs no-telehealth use cohorts: hypertension control, statin therapy and adherence, and annual screening for depression, alcohol use, and tobacco use.

The study cites limitations such as reliance on patients with ≥ 3 or more evaluation-and- management visits and lack of information about influenza vaccines delivered outside the VA. 

In a statement, VA Telehealth Services said it is “encouraged” the study demonstrates “equivalence in many clinical measures among veterans using telehealth. This study reinforces the potential of telehealth to provide high-quality health care to veterans.”

The organization added that it’s “committed to better understanding potential gaps highlighted in this study,” and “it is critical that research databases capture care rendered outside VA … and whether care was offered during a telehealth visit.”

Batching In-Person Services May Be Helpful

As for messages from the study for clinicians, Staloff said there are some preventive care measures that may be more difficult to deliver through telehealth.

“Clinicians should consider batching these in-person services for patients that have a high reliance on telehealth when they have an opportunity to see these patients in-person,” Staloff said. “Health systems may need new workflows to optimize hybrid care, particularly for those that receive most of their care via telehealth.”

Outside Perspective: ‘Access is Not the Same as Quality’

After reviewing the study findings, Ilana Graetz, PhD, a professor who studies health policy at the Emory University Rollins School of Public Health, praised the research design and said the results overall are “more reassuring than alarming.” However, she did caution that there could potentially be ways these patients differ that could not be categorized by the data.

“Patients with higher telehealth use may differ from those with lower telehealth use in important ways not fully captured in the data — barriers to in-person care, the complexity of the visit, patient preferences, or care received outside the system,” Graetz said.

As for the influenza vaccine, Graetz said patients need to be physically present: “Patients seen mostly by telehealth will have fewer opportunities to receive any preventive care that can only be delivered in person.”

Graetz said the study is timely given ongoing debates over COVID-19 pandemic-era telehealth flexibilities.

“The findings suggest that telehealth can function well as part of a hybrid primary care model,” she said, “but health systems still need to ensure that preventive services, chronic disease management, and follow-up care are not lost in the shift to virtual care.”

VHA Primary Care Analytics Team supported the study with funding from the VHA Office of Primary Care. Staloff has no disclosures. One coauthor disclosed a relationship with the US Department of Veterans Affairs. 

Graetz disclosed relationships the Donaghue Foundation, Pfizer, PRIME Education, and the National Institutes of Health. 

Quality measures for primary care in the US Department of Veterans Affairs (VA) remained stable when telehealth was mixed with in-person visits, but influenza vaccination fell among patients who relied on online visits the most, a retrospective cohort study finds.

Analysis of the medical records for 744,599 veterans from federal fiscal years 2022 and 2023 revealed that patients aged 19-65 years who relied on telehealth for at least half of their primary care visits were less likely to receive an influenza vaccine (37.9%) compared with those seen only in person (50.0%, P < .001). The study was lead by researchers at VA Puget Sound and published in JAMA Network Open. 

There was also an influenza vaccination gap in patients aged ≥ 66 years: 62.8% in patients who received some care via telehealth telehealth vs 71.5% seen only in person, respectively (P < .001). 

“Our study showed that primary care quality at the VA is quite high,” Jonathan Staloff, MD, MSc, a family medicine physician with VA Puget Sound told Federal Practitioner. “And we found that for almost all quality measures, having a low proportion of care via telehealth was associated with the same quality as in-person care.”

As Staloff explained, “telehealth in primary care, as well as in general, has emerged as an additional means of preserving access to care for veterans. Evidence suggests that veterans have a high degree of satisfaction with telehealth but it’s mixed as it relates to quality outcome differences between those who receive any via telehealth vs none.”

For the study, Staloff said, “we wanted to see if there was a dose-response relationship between telehealth utilization and care quality and if certain hybrid models could help optimize quality of care. To our knowledge, this study was the first national evaluation to investigate primary care telehealth and care quality in this way.”

Reassuring Findings About Low Telehealth Use

For the study, researchers tracked a national sample of patient data from the Veterans Health Administration (VHA) Support Service Center Capital Assets Databases, Primary Care Management Module, and VHA Corporate Data Warehouse (mean age, 65 years; 86% male; 63% White, 22% Black, 10% Hispanic). 

The study defined categories of primary-care telehealth use as no telehealth, low telehealth (> 0.0% to < 28.6%), intermediate telehealth (28.6% to < 50.0%), and high telehealth (> 50.0%).

Highest Telehealth Use Raises Red Flags

The differences in influenza vaccine rates between the no-telehealth and high-telehealth groups held up in an adjusted analysis.

The study found small but statistically significant worsening of several quality measures in the high-telehealth use vs no-telehealth use cohorts: hypertension control, statin therapy and adherence, and annual screening for depression, alcohol use, and tobacco use.

The study cites limitations such as reliance on patients with ≥ 3 or more evaluation-and- management visits and lack of information about influenza vaccines delivered outside the VA. 

In a statement, VA Telehealth Services said it is “encouraged” the study demonstrates “equivalence in many clinical measures among veterans using telehealth. This study reinforces the potential of telehealth to provide high-quality health care to veterans.”

The organization added that it’s “committed to better understanding potential gaps highlighted in this study,” and “it is critical that research databases capture care rendered outside VA … and whether care was offered during a telehealth visit.”

Batching In-Person Services May Be Helpful

As for messages from the study for clinicians, Staloff said there are some preventive care measures that may be more difficult to deliver through telehealth.

“Clinicians should consider batching these in-person services for patients that have a high reliance on telehealth when they have an opportunity to see these patients in-person,” Staloff said. “Health systems may need new workflows to optimize hybrid care, particularly for those that receive most of their care via telehealth.”

Outside Perspective: ‘Access is Not the Same as Quality’

After reviewing the study findings, Ilana Graetz, PhD, a professor who studies health policy at the Emory University Rollins School of Public Health, praised the research design and said the results overall are “more reassuring than alarming.” However, she did caution that there could potentially be ways these patients differ that could not be categorized by the data.

“Patients with higher telehealth use may differ from those with lower telehealth use in important ways not fully captured in the data — barriers to in-person care, the complexity of the visit, patient preferences, or care received outside the system,” Graetz said.

As for the influenza vaccine, Graetz said patients need to be physically present: “Patients seen mostly by telehealth will have fewer opportunities to receive any preventive care that can only be delivered in person.”

Graetz said the study is timely given ongoing debates over COVID-19 pandemic-era telehealth flexibilities.

“The findings suggest that telehealth can function well as part of a hybrid primary care model,” she said, “but health systems still need to ensure that preventive services, chronic disease management, and follow-up care are not lost in the shift to virtual care.”

VHA Primary Care Analytics Team supported the study with funding from the VHA Office of Primary Care. Staloff has no disclosures. One coauthor disclosed a relationship with the US Department of Veterans Affairs. 

Graetz disclosed relationships the Donaghue Foundation, Pfizer, PRIME Education, and the National Institutes of Health. 

SAN FRANCISCO – Treatment for follicular lymphoma (FL) continues to evolve, according to a US Department of Veterans Affairs (VA) hematologist-oncologist, as second-line regimens emerge but the withdrawal of a recently approved agent complicates the picture.

“The future for our understanding and treatment of follicular lymphoma remains bright,” said Gerald Hsu, MD, PhD, of the University of California at San Francisco and the San Francisco VA Health Care System, during a presentation at the March Association of VA Hematology/Oncology (AVAHO) regional meeting on lymphoma.

By the Numbers

About 16,500 people in the US are diagnosed with FL each year. The median age of diagnosis is 64 years, and the 5-year survival rate from 2015-2021 was 89.0%, according to the National Cancer Institute. 

FL is slow-growing and indolent, Hsu said.

“[That] means that we tend to see patients who are older when they are diagnosed,” he added. “They tend to live a long time, and they’re not usually curable.”

A better understanding of the biology of FL has allowed for the development of new markers and ways of measuring residual disease, Hsu said. Additional insight may allow clinicians to identify which patients could benefit most from specific therapies.

Frontline Options

Hsu highlighted the VA Oncology Clinical Pathway for FL, which offers step-by-step guidance regarding therapy and was updated in March 2026. “It walks you through the pathway, but it’s not something that you are beholden to,” he said.

If the patient has classic FL grades 1-3A, is not at risk of transformation to aggressive lymphoma, is not in stage 1 or continuous stage lymphoma, and is indicated for therapy, the guideline recommends lenalidomide plus rituximab (R² or R-Len) or rituximab-bendamustine (R-Benda). 

“There’s a lot of data to support R-Benda,” Hsu said, pointing to a pair of studies with large numbers of patients with FL. The 2013 StiL trial tracked > 500 patients with indolent or mantle cell lymphoma (46% high risk). Those on R-Benda displayed better progression-free survival (PFS) than those taking the combination rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP; hazard ratio [HR], 0.61).

In a 5-year update of the BRIGHT trial, which enrolled > 500 patients with indolent or mantle cell lymphoma (9% high risk), the R-Benda group had better PFS than patients on R-CHOP or rituximab plus cyclophosphamide, vincristine, and prednisone (HR, 0.61).

R² is a somewhat newer regimen, Hsu said. Data from the 2018 RELEVANCE study (> 1000 patients) found R² to be nonsuperior to 3 rituximab-plus-chemotherapy regimens but with a lower rate of grade 3-4 neutropenia (32% vs 50% for the other regimens). 

However, R² is “not an FDA-approved regimen in the frontline because it did not demonstrate superiority” over other treatments, Hsu said. 

Selecting the Right Therapy

Which therapy is best? It’s a bit of a wash, Hsu said. 

He noted that R², R-Benda, and another therapy that’s not yet in the VA pathway (R-CHOP) appear to be noninferior to one another, although R-Benda has the edge. R² is better regarding neutropenia risk, although it lacks FDA approval.

“I think about these 3 regimens as appropriate and good,” Hsu said. “It’s nice having 3 wonderful regimens.”

Hsu highlighted the importance of complete remission (CR) as a goal. He pointed to a 2022 analysis of > 5,200 patients that showed progression within 24 months greatly boosted the risk of death vs no-progression (HR, 3.03). Progression within 24 months also lowered estimated 5-year overall survival to 71%.

“Timing really does matter,” Hsu said. “We often worry about transformation to diffuse large B-cell in patients who relapse, particularly this early.”

Second-Line Therapy Options

Two regimens have recently achieved National Comprehensive Cancer Network Category 1 preferred status in the second-line setting, Hsu said, although neither appears in the VA pathway. 

One is tafasitamab plus R², which was shown to extend median PFS to 22.4 months vs 13.9 months for R² alone in the 2026 inMIND study (HR, 0.43), but without an overall survival benefit. 

The other therapy is epcoritamab plus R²: Data from the 2026 EPCORE FL-1 study showed an overall response rate (ORR) of 95% for the combination vs 79% for R² alone and an estimated 16-month PFS of 85.5% for the combination vs 40.2% for R².

Hsu cautioned about the adverse event profile for community infusion centers. The combination carried higher rates of grade ≥ 3 infections (33% vs 16%) and neutropenia (69% vs 42%) compared with R² alone. However, grade ≥ 3 cytokine release syndrome was absent. 

“Stay alert to higher risk for infections and neutropenia here,” Hsu said.

Beyond Second Line: Biospecifics and CAR-T

The biospecifics mosunetuzumab and epcoritamab are now FDA-approved for patients who have relapsed ≥ 2 times. Mosunetuzumab showed ORR of 78% and CR rate of 60% in a 2025 study, while epcoritamab monotherapy showed ORR of 82% and CR of 63% in a 2024 study.

Mosunetuzumab had a 2.2% rate of cytokine release syndrome and a 4.4% rate of immune effector cell-associated neurotoxicity syndrome; epcoritamab had 0% rates of both.

“Think of these 2 options as getting you to the same place, potentially, but maybe with slightly different rates of toxicity,” Hsu said. 

Meanwhile, CAR-T therapy has shown “impressive results for the right patient,” Hsu said. 

Tazemetostat Withdrawn

Hsu noted that tazemetostat, an EZH2 inhibitor that was FDA-approved for relapsed/refractory FL with EZH2 mutations and patients with FL and no satisfactory alternative options, was withdrawn from the market by Eisai in March 2026. The cause of withdrawal was increased rates of secondary hematologic malignancies. 

Meanwhile, patients enrolled in the ongoing SYMPHONY-1 trial will be switched to R².

The withdrawal was “unfortunate,” Hsu said, “but the concept is important. Identifying new targets for therapy and developing those is how we make progress.”

SAN FRANCISCO – Treatment for follicular lymphoma (FL) continues to evolve, according to a US Department of Veterans Affairs (VA) hematologist-oncologist, as second-line regimens emerge but the withdrawal of a recently approved agent complicates the picture.

“The future for our understanding and treatment of follicular lymphoma remains bright,” said Gerald Hsu, MD, PhD, of the University of California at San Francisco and the San Francisco VA Health Care System, during a presentation at the March Association of VA Hematology/Oncology (AVAHO) regional meeting on lymphoma.

By the Numbers

About 16,500 people in the US are diagnosed with FL each year. The median age of diagnosis is 64 years, and the 5-year survival rate from 2015-2021 was 89.0%, according to the National Cancer Institute. 

FL is slow-growing and indolent, Hsu said.

“[That] means that we tend to see patients who are older when they are diagnosed,” he added. “They tend to live a long time, and they’re not usually curable.”

A better understanding of the biology of FL has allowed for the development of new markers and ways of measuring residual disease, Hsu said. Additional insight may allow clinicians to identify which patients could benefit most from specific therapies.

Frontline Options

Hsu highlighted the VA Oncology Clinical Pathway for FL, which offers step-by-step guidance regarding therapy and was updated in March 2026. “It walks you through the pathway, but it’s not something that you are beholden to,” he said.

If the patient has classic FL grades 1-3A, is not at risk of transformation to aggressive lymphoma, is not in stage 1 or continuous stage lymphoma, and is indicated for therapy, the guideline recommends lenalidomide plus rituximab (R² or R-Len) or rituximab-bendamustine (R-Benda). 

“There’s a lot of data to support R-Benda,” Hsu said, pointing to a pair of studies with large numbers of patients with FL. The 2013 StiL trial tracked > 500 patients with indolent or mantle cell lymphoma (46% high risk). Those on R-Benda displayed better progression-free survival (PFS) than those taking the combination rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP; hazard ratio [HR], 0.61).

In a 5-year update of the BRIGHT trial, which enrolled > 500 patients with indolent or mantle cell lymphoma (9% high risk), the R-Benda group had better PFS than patients on R-CHOP or rituximab plus cyclophosphamide, vincristine, and prednisone (HR, 0.61).

R² is a somewhat newer regimen, Hsu said. Data from the 2018 RELEVANCE study (> 1000 patients) found R² to be nonsuperior to 3 rituximab-plus-chemotherapy regimens but with a lower rate of grade 3-4 neutropenia (32% vs 50% for the other regimens). 

However, R² is “not an FDA-approved regimen in the frontline because it did not demonstrate superiority” over other treatments, Hsu said. 

Selecting the Right Therapy

Which therapy is best? It’s a bit of a wash, Hsu said. 

He noted that R², R-Benda, and another therapy that’s not yet in the VA pathway (R-CHOP) appear to be noninferior to one another, although R-Benda has the edge. R² is better regarding neutropenia risk, although it lacks FDA approval.

“I think about these 3 regimens as appropriate and good,” Hsu said. “It’s nice having 3 wonderful regimens.”

Hsu highlighted the importance of complete remission (CR) as a goal. He pointed to a 2022 analysis of > 5,200 patients that showed progression within 24 months greatly boosted the risk of death vs no-progression (HR, 3.03). Progression within 24 months also lowered estimated 5-year overall survival to 71%.

“Timing really does matter,” Hsu said. “We often worry about transformation to diffuse large B-cell in patients who relapse, particularly this early.”

Second-Line Therapy Options

Two regimens have recently achieved National Comprehensive Cancer Network Category 1 preferred status in the second-line setting, Hsu said, although neither appears in the VA pathway. 

One is tafasitamab plus R², which was shown to extend median PFS to 22.4 months vs 13.9 months for R² alone in the 2026 inMIND study (HR, 0.43), but without an overall survival benefit. 

The other therapy is epcoritamab plus R²: Data from the 2026 EPCORE FL-1 study showed an overall response rate (ORR) of 95% for the combination vs 79% for R² alone and an estimated 16-month PFS of 85.5% for the combination vs 40.2% for R².

Hsu cautioned about the adverse event profile for community infusion centers. The combination carried higher rates of grade ≥ 3 infections (33% vs 16%) and neutropenia (69% vs 42%) compared with R² alone. However, grade ≥ 3 cytokine release syndrome was absent. 

“Stay alert to higher risk for infections and neutropenia here,” Hsu said.

Beyond Second Line: Biospecifics and CAR-T

The biospecifics mosunetuzumab and epcoritamab are now FDA-approved for patients who have relapsed ≥ 2 times. Mosunetuzumab showed ORR of 78% and CR rate of 60% in a 2025 study, while epcoritamab monotherapy showed ORR of 82% and CR of 63% in a 2024 study.

Mosunetuzumab had a 2.2% rate of cytokine release syndrome and a 4.4% rate of immune effector cell-associated neurotoxicity syndrome; epcoritamab had 0% rates of both.

“Think of these 2 options as getting you to the same place, potentially, but maybe with slightly different rates of toxicity,” Hsu said. 

Meanwhile, CAR-T therapy has shown “impressive results for the right patient,” Hsu said. 

Tazemetostat Withdrawn

Hsu noted that tazemetostat, an EZH2 inhibitor that was FDA-approved for relapsed/refractory FL with EZH2 mutations and patients with FL and no satisfactory alternative options, was withdrawn from the market by Eisai in March 2026. The cause of withdrawal was increased rates of secondary hematologic malignancies. 

Meanwhile, patients enrolled in the ongoing SYMPHONY-1 trial will be switched to R².

The withdrawal was “unfortunate,” Hsu said, “but the concept is important. Identifying new targets for therapy and developing those is how we make progress.”

SAN FRANCISCO – Treatment for follicular lymphoma (FL) continues to evolve, according to a US Department of Veterans Affairs (VA) hematologist-oncologist, as second-line regimens emerge but the withdrawal of a recently approved agent complicates the picture.

“The future for our understanding and treatment of follicular lymphoma remains bright,” said Gerald Hsu, MD, PhD, of the University of California at San Francisco and the San Francisco VA Health Care System, during a presentation at the March Association of VA Hematology/Oncology (AVAHO) regional meeting on lymphoma.

By the Numbers

About 16,500 people in the US are diagnosed with FL each year. The median age of diagnosis is 64 years, and the 5-year survival rate from 2015-2021 was 89.0%, according to the National Cancer Institute. 

FL is slow-growing and indolent, Hsu said.

“[That] means that we tend to see patients who are older when they are diagnosed,” he added. “They tend to live a long time, and they’re not usually curable.”

A better understanding of the biology of FL has allowed for the development of new markers and ways of measuring residual disease, Hsu said. Additional insight may allow clinicians to identify which patients could benefit most from specific therapies.

Frontline Options

Hsu highlighted the VA Oncology Clinical Pathway for FL, which offers step-by-step guidance regarding therapy and was updated in March 2026. “It walks you through the pathway, but it’s not something that you are beholden to,” he said.

If the patient has classic FL grades 1-3A, is not at risk of transformation to aggressive lymphoma, is not in stage 1 or continuous stage lymphoma, and is indicated for therapy, the guideline recommends lenalidomide plus rituximab (R² or R-Len) or rituximab-bendamustine (R-Benda). 

“There’s a lot of data to support R-Benda,” Hsu said, pointing to a pair of studies with large numbers of patients with FL. The 2013 StiL trial tracked > 500 patients with indolent or mantle cell lymphoma (46% high risk). Those on R-Benda displayed better progression-free survival (PFS) than those taking the combination rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP; hazard ratio [HR], 0.61).

In a 5-year update of the BRIGHT trial, which enrolled > 500 patients with indolent or mantle cell lymphoma (9% high risk), the R-Benda group had better PFS than patients on R-CHOP or rituximab plus cyclophosphamide, vincristine, and prednisone (HR, 0.61).

R² is a somewhat newer regimen, Hsu said. Data from the 2018 RELEVANCE study (> 1000 patients) found R² to be nonsuperior to 3 rituximab-plus-chemotherapy regimens but with a lower rate of grade 3-4 neutropenia (32% vs 50% for the other regimens). 

However, R² is “not an FDA-approved regimen in the frontline because it did not demonstrate superiority” over other treatments, Hsu said. 

Selecting the Right Therapy

Which therapy is best? It’s a bit of a wash, Hsu said. 

He noted that R², R-Benda, and another therapy that’s not yet in the VA pathway (R-CHOP) appear to be noninferior to one another, although R-Benda has the edge. R² is better regarding neutropenia risk, although it lacks FDA approval.

“I think about these 3 regimens as appropriate and good,” Hsu said. “It’s nice having 3 wonderful regimens.”

Hsu highlighted the importance of complete remission (CR) as a goal. He pointed to a 2022 analysis of > 5,200 patients that showed progression within 24 months greatly boosted the risk of death vs no-progression (HR, 3.03). Progression within 24 months also lowered estimated 5-year overall survival to 71%.

“Timing really does matter,” Hsu said. “We often worry about transformation to diffuse large B-cell in patients who relapse, particularly this early.”

Second-Line Therapy Options

Two regimens have recently achieved National Comprehensive Cancer Network Category 1 preferred status in the second-line setting, Hsu said, although neither appears in the VA pathway. 

One is tafasitamab plus R², which was shown to extend median PFS to 22.4 months vs 13.9 months for R² alone in the 2026 inMIND study (HR, 0.43), but without an overall survival benefit. 

The other therapy is epcoritamab plus R²: Data from the 2026 EPCORE FL-1 study showed an overall response rate (ORR) of 95% for the combination vs 79% for R² alone and an estimated 16-month PFS of 85.5% for the combination vs 40.2% for R².

Hsu cautioned about the adverse event profile for community infusion centers. The combination carried higher rates of grade ≥ 3 infections (33% vs 16%) and neutropenia (69% vs 42%) compared with R² alone. However, grade ≥ 3 cytokine release syndrome was absent. 

“Stay alert to higher risk for infections and neutropenia here,” Hsu said.

Beyond Second Line: Biospecifics and CAR-T

The biospecifics mosunetuzumab and epcoritamab are now FDA-approved for patients who have relapsed ≥ 2 times. Mosunetuzumab showed ORR of 78% and CR rate of 60% in a 2025 study, while epcoritamab monotherapy showed ORR of 82% and CR of 63% in a 2024 study.

Mosunetuzumab had a 2.2% rate of cytokine release syndrome and a 4.4% rate of immune effector cell-associated neurotoxicity syndrome; epcoritamab had 0% rates of both.

“Think of these 2 options as getting you to the same place, potentially, but maybe with slightly different rates of toxicity,” Hsu said. 

Meanwhile, CAR-T therapy has shown “impressive results for the right patient,” Hsu said. 

Tazemetostat Withdrawn

Hsu noted that tazemetostat, an EZH2 inhibitor that was FDA-approved for relapsed/refractory FL with EZH2 mutations and patients with FL and no satisfactory alternative options, was withdrawn from the market by Eisai in March 2026. The cause of withdrawal was increased rates of secondary hematologic malignancies. 

Meanwhile, patients enrolled in the ongoing SYMPHONY-1 trial will be switched to R².

The withdrawal was “unfortunate,” Hsu said, “but the concept is important. Identifying new targets for therapy and developing those is how we make progress.”