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Myeloma frailty index predicts survival based on biological age

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A new index of frailty predicts survival in older patients with multiple myeloma based on accumulation of aging-associated deficits, rather than chronological age alone, investigators report. A 16% increased risk of death was seen for each 10% increase in the deficit-accumulation frailty index (DAFI), which includes 25 variables related health, function, and activities of daily living.

There was only a weak correlation between chronological age and increase in deficits tracked by the index, in contrast to a cohort without cancer, in which age and frailty were strongly correlated, the investigators reported in JCO Clinical Cancer Informatics.

“Our results demonstrate that, for patients with multiple myeloma, chronological age alone is not a good measure for assessing overall health,” study author Tanya M. Wildes, MD, of Washington University, St. Louis, said in a news release from the American Society of Clinical Oncology.

Existing tools to assess frailty include an index proposed by the International Myeloma Working Group that looks at age plus other indexes related to comorbidities and activities of daily living, and the revised Myeloma Comorbidity Index that incorporates age with other prognostic factors.

“Although both tools provide prognostic information, chronological age automatically increases frailty without taking biologic or functional age into account,” Dr. Wildes and her coauthors wrote in their report.

By contrast, the DAFI is based on the concept of biologic age, in which the health status of an individual is measured based on the proportion of aging-associated deficits they have accumulated, according to the authors.

To create the DAFI, Dr. Wildes and her colleagues analyzed nearly 2.7 million records of noncancer patients aged 66 years or older in the SEER Medicare Health Outcomes Survey (MHOS) database. They identified 25 variables in the database representing chronic health conditions, activities of daily living, functioning, mental health, and general health.

An individual’s DAFI score was calculated as the sum of scores for each of the 25 variables as 0 for absent, 0.5 for limited, and 1 for present. Predicted DAFI means were calculated for each year of age and used to create age-specific cut points to determine whether an individual would be considered frail or not versus others of the same age.

“In other words, the same frailty score may qualify an 80-year-old individual as fit and a 70-year-old as frail, depending on the cutoff for their respective age group,” investigators explained in their report.

They applied the index to 305 patients with newly diagnosed myeloma in the SEER-MHOS database who were 66 years of age or older (median age, 76 years) and had completed the survey within 1 year of diagnosis.

The DAFI classified 52% of the myeloma patients as frail, and for that group, median overall survival was 26.8 months, versus 43.7 months for nonfrail patients (P = .015), according to the reported data. For each 10% increase in score, the risk of death increased by 16% (P less than .001).

Notably, advancing age was very weakly correlated with increased age-related deficits in the myeloma cohort (r2 = 0.15; P = .010), according to investigators, but very strongly correlated with deficits in the cohort of noncancer patients (r2 = 0.98; P less than .001).

“This suggests that, in patients with multiple myeloma, the prevalence of impairments across domains of function, chronic comorbidities, general health, and mental health are more related to the overall burden of myeloma rather than chronological age alone,” the investigators wrote.

The information used to calculate a DAFI score is easily obtainable during a clinic visit, according to the authors, who provided an overview of all 25 variables in the journal article.

Further development of a computerized program would further enhance usability in the clinic, allowing for real-time calculation during a patient visit, they said.

Survivorship expert Merry Jennifer Markham, MD, said in the ASCO news release that this frailty index is notable because it accounts for more than just chronological age. “Knowing this information can help oncologists have more informed discussions with patients about their prognosis, which in turn can empower patients and families as they weigh treatment options,” she said.

The research was supported by National Cancer Institute. Dr. Wildes reported honoraria from Carevive Systems and research funding from Janssen Oncology. Another coauthor reported honoraria from Celgene and Janssen, and a consulting or advisory role with Amgen and Takeda.

 

SOURCE: Mian HS et al. JCO Clin Cancer Inform. 2018 Jul 25. 2018 Jul 25. doi: 10.1200/CCI.18.00043.

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A new index of frailty predicts survival in older patients with multiple myeloma based on accumulation of aging-associated deficits, rather than chronological age alone, investigators report. A 16% increased risk of death was seen for each 10% increase in the deficit-accumulation frailty index (DAFI), which includes 25 variables related health, function, and activities of daily living.

There was only a weak correlation between chronological age and increase in deficits tracked by the index, in contrast to a cohort without cancer, in which age and frailty were strongly correlated, the investigators reported in JCO Clinical Cancer Informatics.

“Our results demonstrate that, for patients with multiple myeloma, chronological age alone is not a good measure for assessing overall health,” study author Tanya M. Wildes, MD, of Washington University, St. Louis, said in a news release from the American Society of Clinical Oncology.

Existing tools to assess frailty include an index proposed by the International Myeloma Working Group that looks at age plus other indexes related to comorbidities and activities of daily living, and the revised Myeloma Comorbidity Index that incorporates age with other prognostic factors.

“Although both tools provide prognostic information, chronological age automatically increases frailty without taking biologic or functional age into account,” Dr. Wildes and her coauthors wrote in their report.

By contrast, the DAFI is based on the concept of biologic age, in which the health status of an individual is measured based on the proportion of aging-associated deficits they have accumulated, according to the authors.

To create the DAFI, Dr. Wildes and her colleagues analyzed nearly 2.7 million records of noncancer patients aged 66 years or older in the SEER Medicare Health Outcomes Survey (MHOS) database. They identified 25 variables in the database representing chronic health conditions, activities of daily living, functioning, mental health, and general health.

An individual’s DAFI score was calculated as the sum of scores for each of the 25 variables as 0 for absent, 0.5 for limited, and 1 for present. Predicted DAFI means were calculated for each year of age and used to create age-specific cut points to determine whether an individual would be considered frail or not versus others of the same age.

“In other words, the same frailty score may qualify an 80-year-old individual as fit and a 70-year-old as frail, depending on the cutoff for their respective age group,” investigators explained in their report.

They applied the index to 305 patients with newly diagnosed myeloma in the SEER-MHOS database who were 66 years of age or older (median age, 76 years) and had completed the survey within 1 year of diagnosis.

The DAFI classified 52% of the myeloma patients as frail, and for that group, median overall survival was 26.8 months, versus 43.7 months for nonfrail patients (P = .015), according to the reported data. For each 10% increase in score, the risk of death increased by 16% (P less than .001).

Notably, advancing age was very weakly correlated with increased age-related deficits in the myeloma cohort (r2 = 0.15; P = .010), according to investigators, but very strongly correlated with deficits in the cohort of noncancer patients (r2 = 0.98; P less than .001).

“This suggests that, in patients with multiple myeloma, the prevalence of impairments across domains of function, chronic comorbidities, general health, and mental health are more related to the overall burden of myeloma rather than chronological age alone,” the investigators wrote.

The information used to calculate a DAFI score is easily obtainable during a clinic visit, according to the authors, who provided an overview of all 25 variables in the journal article.

Further development of a computerized program would further enhance usability in the clinic, allowing for real-time calculation during a patient visit, they said.

Survivorship expert Merry Jennifer Markham, MD, said in the ASCO news release that this frailty index is notable because it accounts for more than just chronological age. “Knowing this information can help oncologists have more informed discussions with patients about their prognosis, which in turn can empower patients and families as they weigh treatment options,” she said.

The research was supported by National Cancer Institute. Dr. Wildes reported honoraria from Carevive Systems and research funding from Janssen Oncology. Another coauthor reported honoraria from Celgene and Janssen, and a consulting or advisory role with Amgen and Takeda.

 

SOURCE: Mian HS et al. JCO Clin Cancer Inform. 2018 Jul 25. 2018 Jul 25. doi: 10.1200/CCI.18.00043.

 

A new index of frailty predicts survival in older patients with multiple myeloma based on accumulation of aging-associated deficits, rather than chronological age alone, investigators report. A 16% increased risk of death was seen for each 10% increase in the deficit-accumulation frailty index (DAFI), which includes 25 variables related health, function, and activities of daily living.

There was only a weak correlation between chronological age and increase in deficits tracked by the index, in contrast to a cohort without cancer, in which age and frailty were strongly correlated, the investigators reported in JCO Clinical Cancer Informatics.

“Our results demonstrate that, for patients with multiple myeloma, chronological age alone is not a good measure for assessing overall health,” study author Tanya M. Wildes, MD, of Washington University, St. Louis, said in a news release from the American Society of Clinical Oncology.

Existing tools to assess frailty include an index proposed by the International Myeloma Working Group that looks at age plus other indexes related to comorbidities and activities of daily living, and the revised Myeloma Comorbidity Index that incorporates age with other prognostic factors.

“Although both tools provide prognostic information, chronological age automatically increases frailty without taking biologic or functional age into account,” Dr. Wildes and her coauthors wrote in their report.

By contrast, the DAFI is based on the concept of biologic age, in which the health status of an individual is measured based on the proportion of aging-associated deficits they have accumulated, according to the authors.

To create the DAFI, Dr. Wildes and her colleagues analyzed nearly 2.7 million records of noncancer patients aged 66 years or older in the SEER Medicare Health Outcomes Survey (MHOS) database. They identified 25 variables in the database representing chronic health conditions, activities of daily living, functioning, mental health, and general health.

An individual’s DAFI score was calculated as the sum of scores for each of the 25 variables as 0 for absent, 0.5 for limited, and 1 for present. Predicted DAFI means were calculated for each year of age and used to create age-specific cut points to determine whether an individual would be considered frail or not versus others of the same age.

“In other words, the same frailty score may qualify an 80-year-old individual as fit and a 70-year-old as frail, depending on the cutoff for their respective age group,” investigators explained in their report.

They applied the index to 305 patients with newly diagnosed myeloma in the SEER-MHOS database who were 66 years of age or older (median age, 76 years) and had completed the survey within 1 year of diagnosis.

The DAFI classified 52% of the myeloma patients as frail, and for that group, median overall survival was 26.8 months, versus 43.7 months for nonfrail patients (P = .015), according to the reported data. For each 10% increase in score, the risk of death increased by 16% (P less than .001).

Notably, advancing age was very weakly correlated with increased age-related deficits in the myeloma cohort (r2 = 0.15; P = .010), according to investigators, but very strongly correlated with deficits in the cohort of noncancer patients (r2 = 0.98; P less than .001).

“This suggests that, in patients with multiple myeloma, the prevalence of impairments across domains of function, chronic comorbidities, general health, and mental health are more related to the overall burden of myeloma rather than chronological age alone,” the investigators wrote.

The information used to calculate a DAFI score is easily obtainable during a clinic visit, according to the authors, who provided an overview of all 25 variables in the journal article.

Further development of a computerized program would further enhance usability in the clinic, allowing for real-time calculation during a patient visit, they said.

Survivorship expert Merry Jennifer Markham, MD, said in the ASCO news release that this frailty index is notable because it accounts for more than just chronological age. “Knowing this information can help oncologists have more informed discussions with patients about their prognosis, which in turn can empower patients and families as they weigh treatment options,” she said.

The research was supported by National Cancer Institute. Dr. Wildes reported honoraria from Carevive Systems and research funding from Janssen Oncology. Another coauthor reported honoraria from Celgene and Janssen, and a consulting or advisory role with Amgen and Takeda.

 

SOURCE: Mian HS et al. JCO Clin Cancer Inform. 2018 Jul 25. 2018 Jul 25. doi: 10.1200/CCI.18.00043.

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Key clinical point: A new index of frailty predicts survival in older patients with multiple myeloma based on accumulation of aging-associated deficits, rather than on chronological age alone.

Major finding: Median overall survival was 26.8 months for patients classified as frail, vs. 43.7 months for nonfrail patients (P = .015).

Study details: Retrospective analysis of 2.7 million records of noncancer patients to create an index subsequently validated in records for 305 patients with newly diagnosed multiple myeloma (aged 66 years and older).

Disclosures: The research was supported by National Cancer Institute. Authors reported disclosures related to Celgene, Janssen, Amgen, Takeda, and Carevive Systems.

Source: Mian HS et al. JCO Clin Cancer Inform. 2018 Jul 25. doi: 10.1200/CCI.18.00043.

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GPS receives fast track designation for MM

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showing multiple myeloma
Bone marrow smear

The US Food and Drug Administration (FDA) has granted fast track designation to the cancer vaccine galinpepimut-S (GPS) for the treatment of multiple myeloma (MM).

GPS consists of 4 modified peptide chains that induce an innate immune response (CD4+/CD8+ T cells) against the Wilms’ tumor 1 (WT1) antigen.

GPS is administered in combination with an adjuvant and an immune modulator to improve the immune response to the target.

GPS has been tested in a phase 2 trial of patients with MM. Results from this trial were presented at the 44th Annual Meeting of the EBMT in March.

Phase 2 trial

The study enrolled 19 MM patients. Fifteen of them had high-risk cytogenetics at diagnosis, and 18 were at least minimal residual disease-positive after autologous stem cell transplant (ASCT).

Patients began receiving GPS within 22 days of ASCT. Initially, they received 6 doses (administered subcutaneously with the oil emulsifier montanide) every 2 weeks. Injection sites were pre-stimulated with granulocyte-macrophage colony-stimulating factor (70 μg) on days -2 (± 1 day) and 0 of each GPS vaccination.

The patients underwent assessment 2 to 4 weeks after the 6th GPS dose. Then, they received 6 additional monthly doses of GPS in conjunction with lenalidomide maintenance (10 mg daily), starting on day 100 post-ASCT. Patients were assessed 2 to 4 weeks after the 12th GPS dose.

The researchers found that GPS stimulated time-dependent CD4+ or CD8+ T-cell immune responses specific for all 4 WT1 peptides within GPS, 2 of which are heteroclitic.

Immune responses were confirmed in up to 91% of patients, with multivalent immune responses in up to 64% of patients. Three-quarters of patients had multifunctional cross-epitope T-cell reactivity to antigenic epitopes against which the hosts were not specifically immunized, in a pattern akin to epitope spreading.

In patients who received all 12 doses of GPS (n=12), there was a “strong” association between clinical benefit—defined as complete response (CR) or very good partial response (VGPR)—and frequency of CD4/CD8 immune responses.

Of those patients who had achieved CR/VGPR upon completion of GPS treatment, 100% (n=11) had CD4 immune responses, and 81.8% (n=9) had CD8 immune responses.

The median progression-free survival was 23.6 months, and the median overall survival was not reached. At 18 months, the rate of progression-free survival was 62%, and the rate of overall survival was 88%.

About fast track designation

The FDA’s fast track development program is designed to expedite clinical development and submission of applications for products with the potential to treat serious or life-threatening conditions and address unmet medical needs.

Fast track designation facilitates frequent interactions with the FDA review team, including meetings to discuss the product’s development plan and written communications about issues such as trial design and use of biomarkers.

Products that receive fast track designation may be eligible for accelerated approval and priority review if relevant criteria are met. Such products may also be eligible for rolling review, which allows a developer to submit individual sections of a product’s application for review as they are ready, rather than waiting until all sections are complete.

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showing multiple myeloma
Bone marrow smear

The US Food and Drug Administration (FDA) has granted fast track designation to the cancer vaccine galinpepimut-S (GPS) for the treatment of multiple myeloma (MM).

GPS consists of 4 modified peptide chains that induce an innate immune response (CD4+/CD8+ T cells) against the Wilms’ tumor 1 (WT1) antigen.

GPS is administered in combination with an adjuvant and an immune modulator to improve the immune response to the target.

GPS has been tested in a phase 2 trial of patients with MM. Results from this trial were presented at the 44th Annual Meeting of the EBMT in March.

Phase 2 trial

The study enrolled 19 MM patients. Fifteen of them had high-risk cytogenetics at diagnosis, and 18 were at least minimal residual disease-positive after autologous stem cell transplant (ASCT).

Patients began receiving GPS within 22 days of ASCT. Initially, they received 6 doses (administered subcutaneously with the oil emulsifier montanide) every 2 weeks. Injection sites were pre-stimulated with granulocyte-macrophage colony-stimulating factor (70 μg) on days -2 (± 1 day) and 0 of each GPS vaccination.

The patients underwent assessment 2 to 4 weeks after the 6th GPS dose. Then, they received 6 additional monthly doses of GPS in conjunction with lenalidomide maintenance (10 mg daily), starting on day 100 post-ASCT. Patients were assessed 2 to 4 weeks after the 12th GPS dose.

The researchers found that GPS stimulated time-dependent CD4+ or CD8+ T-cell immune responses specific for all 4 WT1 peptides within GPS, 2 of which are heteroclitic.

Immune responses were confirmed in up to 91% of patients, with multivalent immune responses in up to 64% of patients. Three-quarters of patients had multifunctional cross-epitope T-cell reactivity to antigenic epitopes against which the hosts were not specifically immunized, in a pattern akin to epitope spreading.

In patients who received all 12 doses of GPS (n=12), there was a “strong” association between clinical benefit—defined as complete response (CR) or very good partial response (VGPR)—and frequency of CD4/CD8 immune responses.

Of those patients who had achieved CR/VGPR upon completion of GPS treatment, 100% (n=11) had CD4 immune responses, and 81.8% (n=9) had CD8 immune responses.

The median progression-free survival was 23.6 months, and the median overall survival was not reached. At 18 months, the rate of progression-free survival was 62%, and the rate of overall survival was 88%.

About fast track designation

The FDA’s fast track development program is designed to expedite clinical development and submission of applications for products with the potential to treat serious or life-threatening conditions and address unmet medical needs.

Fast track designation facilitates frequent interactions with the FDA review team, including meetings to discuss the product’s development plan and written communications about issues such as trial design and use of biomarkers.

Products that receive fast track designation may be eligible for accelerated approval and priority review if relevant criteria are met. Such products may also be eligible for rolling review, which allows a developer to submit individual sections of a product’s application for review as they are ready, rather than waiting until all sections are complete.

showing multiple myeloma
Bone marrow smear

The US Food and Drug Administration (FDA) has granted fast track designation to the cancer vaccine galinpepimut-S (GPS) for the treatment of multiple myeloma (MM).

GPS consists of 4 modified peptide chains that induce an innate immune response (CD4+/CD8+ T cells) against the Wilms’ tumor 1 (WT1) antigen.

GPS is administered in combination with an adjuvant and an immune modulator to improve the immune response to the target.

GPS has been tested in a phase 2 trial of patients with MM. Results from this trial were presented at the 44th Annual Meeting of the EBMT in March.

Phase 2 trial

The study enrolled 19 MM patients. Fifteen of them had high-risk cytogenetics at diagnosis, and 18 were at least minimal residual disease-positive after autologous stem cell transplant (ASCT).

Patients began receiving GPS within 22 days of ASCT. Initially, they received 6 doses (administered subcutaneously with the oil emulsifier montanide) every 2 weeks. Injection sites were pre-stimulated with granulocyte-macrophage colony-stimulating factor (70 μg) on days -2 (± 1 day) and 0 of each GPS vaccination.

The patients underwent assessment 2 to 4 weeks after the 6th GPS dose. Then, they received 6 additional monthly doses of GPS in conjunction with lenalidomide maintenance (10 mg daily), starting on day 100 post-ASCT. Patients were assessed 2 to 4 weeks after the 12th GPS dose.

The researchers found that GPS stimulated time-dependent CD4+ or CD8+ T-cell immune responses specific for all 4 WT1 peptides within GPS, 2 of which are heteroclitic.

Immune responses were confirmed in up to 91% of patients, with multivalent immune responses in up to 64% of patients. Three-quarters of patients had multifunctional cross-epitope T-cell reactivity to antigenic epitopes against which the hosts were not specifically immunized, in a pattern akin to epitope spreading.

In patients who received all 12 doses of GPS (n=12), there was a “strong” association between clinical benefit—defined as complete response (CR) or very good partial response (VGPR)—and frequency of CD4/CD8 immune responses.

Of those patients who had achieved CR/VGPR upon completion of GPS treatment, 100% (n=11) had CD4 immune responses, and 81.8% (n=9) had CD8 immune responses.

The median progression-free survival was 23.6 months, and the median overall survival was not reached. At 18 months, the rate of progression-free survival was 62%, and the rate of overall survival was 88%.

About fast track designation

The FDA’s fast track development program is designed to expedite clinical development and submission of applications for products with the potential to treat serious or life-threatening conditions and address unmet medical needs.

Fast track designation facilitates frequent interactions with the FDA review team, including meetings to discuss the product’s development plan and written communications about issues such as trial design and use of biomarkers.

Products that receive fast track designation may be eligible for accelerated approval and priority review if relevant criteria are met. Such products may also be eligible for rolling review, which allows a developer to submit individual sections of a product’s application for review as they are ready, rather than waiting until all sections are complete.

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FDA approves biosimilar filgrastim

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The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Nivestym™ (filgrastim-aafi), a biosimilar to Neupogen (filgrastim).

Nivestym is approved to treat patients with nonmyeloid malignancies who are receiving myelosuppressive chemotherapy or undergoing bone marrow transplant, acute myeloid leukemia patients receiving induction or consolidation chemotherapy, patients undergoing autologous peripheral blood progenitor cell collection, and patients with severe chronic neutropenia.

The FDA’s approval of Nivestym was based on a review of evidence suggesting the drug is highly similar to Neupogen, according to Pfizer, the company developing Nivestym.

The full approved indication for Nivestym is as follows:

  • To decrease the incidence of infection, as manifested by febrile neutropenia, in patients with nonmyeloid malignancies receiving myelosuppressive anticancer drugs associated with a significant incidence of severe neutropenia with fever
  • To reduce the time to neutrophil recovery and the duration of fever following induction or consolidation chemotherapy in patients with acute myeloid leukemia
  • To reduce the duration of neutropenia and neutropenia-related clinical sequelae (eg, febrile neutropenia) in patients with nonmyeloid malignancies undergoing myeloablative chemotherapy followed by bone marrow transplant
  • For the mobilization of autologous hematopoietic progenitor cells into the peripheral blood for collection by leukapheresis
  • For chronic administration to reduce the incidence and duration of sequelae of severe neutropenia (eg, fever, infections, oropharyngeal ulcers) in symptomatic patients with congenital neutropenia, cyclic neutropenia, or idiopathic neutropenia.

For more details on Nivestym, see the full prescribing information.

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Vials of drug

The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Nivestym™ (filgrastim-aafi), a biosimilar to Neupogen (filgrastim).

Nivestym is approved to treat patients with nonmyeloid malignancies who are receiving myelosuppressive chemotherapy or undergoing bone marrow transplant, acute myeloid leukemia patients receiving induction or consolidation chemotherapy, patients undergoing autologous peripheral blood progenitor cell collection, and patients with severe chronic neutropenia.

The FDA’s approval of Nivestym was based on a review of evidence suggesting the drug is highly similar to Neupogen, according to Pfizer, the company developing Nivestym.

The full approved indication for Nivestym is as follows:

  • To decrease the incidence of infection, as manifested by febrile neutropenia, in patients with nonmyeloid malignancies receiving myelosuppressive anticancer drugs associated with a significant incidence of severe neutropenia with fever
  • To reduce the time to neutrophil recovery and the duration of fever following induction or consolidation chemotherapy in patients with acute myeloid leukemia
  • To reduce the duration of neutropenia and neutropenia-related clinical sequelae (eg, febrile neutropenia) in patients with nonmyeloid malignancies undergoing myeloablative chemotherapy followed by bone marrow transplant
  • For the mobilization of autologous hematopoietic progenitor cells into the peripheral blood for collection by leukapheresis
  • For chronic administration to reduce the incidence and duration of sequelae of severe neutropenia (eg, fever, infections, oropharyngeal ulcers) in symptomatic patients with congenital neutropenia, cyclic neutropenia, or idiopathic neutropenia.

For more details on Nivestym, see the full prescribing information.

Photo by Bill Branson
Vials of drug

The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Nivestym™ (filgrastim-aafi), a biosimilar to Neupogen (filgrastim).

Nivestym is approved to treat patients with nonmyeloid malignancies who are receiving myelosuppressive chemotherapy or undergoing bone marrow transplant, acute myeloid leukemia patients receiving induction or consolidation chemotherapy, patients undergoing autologous peripheral blood progenitor cell collection, and patients with severe chronic neutropenia.

The FDA’s approval of Nivestym was based on a review of evidence suggesting the drug is highly similar to Neupogen, according to Pfizer, the company developing Nivestym.

The full approved indication for Nivestym is as follows:

  • To decrease the incidence of infection, as manifested by febrile neutropenia, in patients with nonmyeloid malignancies receiving myelosuppressive anticancer drugs associated with a significant incidence of severe neutropenia with fever
  • To reduce the time to neutrophil recovery and the duration of fever following induction or consolidation chemotherapy in patients with acute myeloid leukemia
  • To reduce the duration of neutropenia and neutropenia-related clinical sequelae (eg, febrile neutropenia) in patients with nonmyeloid malignancies undergoing myeloablative chemotherapy followed by bone marrow transplant
  • For the mobilization of autologous hematopoietic progenitor cells into the peripheral blood for collection by leukapheresis
  • For chronic administration to reduce the incidence and duration of sequelae of severe neutropenia (eg, fever, infections, oropharyngeal ulcers) in symptomatic patients with congenital neutropenia, cyclic neutropenia, or idiopathic neutropenia.

For more details on Nivestym, see the full prescribing information.

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Diabetics have higher risk of hematologic, other cancers

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A review of data from more than 19 million people indicates that diabetes significantly raises a person’s risk of developing cancer.

When researchers compared patients with diabetes and without, both male and female diabetics had an increased risk of leukemias and lymphomas as well as certain solid tumors.

Researchers also found that diabetes conferred a higher cancer risk for women than men, both for all cancers combined and for some specific cancers, including leukemia.

“The link between diabetes and the risk of developing cancer is now firmly established,” said Toshiaki Ohkuma, PhD, of The George Institute for Global Health at the University of New South Wales in Australia.

“We have also demonstrated, for the first time, that women with diabetes are more likely to develop any form of cancer and have a significantly higher chance of developing kidney, oral, and stomach cancers and leukemia.”

Dr Ohkuma and his colleagues reported these findings in Diabetologia.

The researchers conducted a systematic search in PubMed MEDLINE to identify reports on the links between diabetes and cancer. Additional reports were identified from the reference lists of the relevant studies.

Only those cohort studies providing relative risks (RRs) for the association between diabetes and cancer for both women and men were included. In total, 107 relevant articles were identified, along with 36 cohorts of individual participant data.

RRs for cancer were obtained for patients with diabetes (types 1 and 2 combined) versus those without diabetes, for both men and women. The women-to-men ratios of these relative risk ratios (RRRs) were then calculated to determine the excess risk in women if present.

Data on all-site cancer was available from 47 studies, involving 121 cohorts and 19,239,302 individuals.

Diabetics vs non-diabetics

Women with diabetes had a 27% higher risk of all-site cancer compared to women without diabetes (RR=1.27; 95% CI 1.21, 1.32; P<0.001).

For men, the risk of all-site cancer was 19% higher among those with diabetes than those without (RR=1.19; 95% CI 1.13, 1.25; P<0.001).

There were several hematologic malignancies for which diabetics had an increased risk, as shown in the following table.

Cancer type RR for women

(99% CI)
RR for men

(99% CI)
Lymphatic and hematopoietic tissue 1.24 (1.05, 1.46)* 1.21 (0.98, 1.48)
Leukemia 1.53 (1.00, 2.33) 1.22 (0.80, 1.85)
Myeloid leukemia 0.83 (0.39, 1.76) 1.12 (0.77, 1.62)
Acute myeloid leukemia 1.33 (1.12, 1.57)* 1.14 (0.56, 2.33)
Chronic myeloid leukemia 1.67 (1.27, 2.20)* 1.62 (1.32, 1.98)*
Lymphoid leukemia 1.74 (0.31, 9.79) 1.20 (0.86, 1.68)
Lymphoma 2.31 (0.57, 9.30) 1.80 (0.68, 4.75)
Non-Hodgkin lymphoma 1.16 (1.02, 1.32)* 1.20 (1.08, 1.34)*
Hodgkin lymphoma 1.20 (0.61, 2.38) 1.36 (1.05, 1.77)*
Multiple myeloma 1.19 (0.97, 1.47) 1.12 (0.90, 1.41)
*denotes statistical significance with a P value < 0.01

Sex comparison

Calculation of the women-to-men ratio revealed that women with diabetes had a 6% greater excess risk of all-site cancer compared to men with diabetes (RRR=1.06; 95% CI 1.03, 1.09; P<0.001).

The women-to-men ratios also showed significantly higher risks for female diabetics for:

  • Kidney cancer—RRR=1.11 (99% CI 1.04, 1.18; P<0.001)
  • Oral cancer—RRR=1.13 (99% CI 1.00, 1.28; P=0.009)
  • Stomach cancer—RRR=1.14 (99% CI 1.07, 1.22; P<0.001)
  • Leukemia—RRR=1.15 (99% CI 1.02, 1.28; P=0.002).

However, women had a significantly lower risk of liver cancer (RRR=0.88; 99% CI 0.79, 0.99; P=0.005).

There are several possible reasons for the excess cancer risk observed in women, according to study author Sanne Peters, PhD, of The George Institute for Global Health at the University of Oxford in the UK.

For example, on average, women are in the pre-diabetic state of impaired glucose tolerance 2 years longer than men.

“Historically, we know that women are often under-treated when they first present with symptoms of diabetes, are less likely to receive intensive care, and are not taking the same levels of medications as men,” Dr Peters said. “All of these could go some way into explaining why women are at greater risk of developing cancer, but, without more research, we can’t be certain.”

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Cancer patient receiving chemotherapy

A review of data from more than 19 million people indicates that diabetes significantly raises a person’s risk of developing cancer.

When researchers compared patients with diabetes and without, both male and female diabetics had an increased risk of leukemias and lymphomas as well as certain solid tumors.

Researchers also found that diabetes conferred a higher cancer risk for women than men, both for all cancers combined and for some specific cancers, including leukemia.

“The link between diabetes and the risk of developing cancer is now firmly established,” said Toshiaki Ohkuma, PhD, of The George Institute for Global Health at the University of New South Wales in Australia.

“We have also demonstrated, for the first time, that women with diabetes are more likely to develop any form of cancer and have a significantly higher chance of developing kidney, oral, and stomach cancers and leukemia.”

Dr Ohkuma and his colleagues reported these findings in Diabetologia.

The researchers conducted a systematic search in PubMed MEDLINE to identify reports on the links between diabetes and cancer. Additional reports were identified from the reference lists of the relevant studies.

Only those cohort studies providing relative risks (RRs) for the association between diabetes and cancer for both women and men were included. In total, 107 relevant articles were identified, along with 36 cohorts of individual participant data.

RRs for cancer were obtained for patients with diabetes (types 1 and 2 combined) versus those without diabetes, for both men and women. The women-to-men ratios of these relative risk ratios (RRRs) were then calculated to determine the excess risk in women if present.

Data on all-site cancer was available from 47 studies, involving 121 cohorts and 19,239,302 individuals.

Diabetics vs non-diabetics

Women with diabetes had a 27% higher risk of all-site cancer compared to women without diabetes (RR=1.27; 95% CI 1.21, 1.32; P<0.001).

For men, the risk of all-site cancer was 19% higher among those with diabetes than those without (RR=1.19; 95% CI 1.13, 1.25; P<0.001).

There were several hematologic malignancies for which diabetics had an increased risk, as shown in the following table.

Cancer type RR for women

(99% CI)
RR for men

(99% CI)
Lymphatic and hematopoietic tissue 1.24 (1.05, 1.46)* 1.21 (0.98, 1.48)
Leukemia 1.53 (1.00, 2.33) 1.22 (0.80, 1.85)
Myeloid leukemia 0.83 (0.39, 1.76) 1.12 (0.77, 1.62)
Acute myeloid leukemia 1.33 (1.12, 1.57)* 1.14 (0.56, 2.33)
Chronic myeloid leukemia 1.67 (1.27, 2.20)* 1.62 (1.32, 1.98)*
Lymphoid leukemia 1.74 (0.31, 9.79) 1.20 (0.86, 1.68)
Lymphoma 2.31 (0.57, 9.30) 1.80 (0.68, 4.75)
Non-Hodgkin lymphoma 1.16 (1.02, 1.32)* 1.20 (1.08, 1.34)*
Hodgkin lymphoma 1.20 (0.61, 2.38) 1.36 (1.05, 1.77)*
Multiple myeloma 1.19 (0.97, 1.47) 1.12 (0.90, 1.41)
*denotes statistical significance with a P value < 0.01

Sex comparison

Calculation of the women-to-men ratio revealed that women with diabetes had a 6% greater excess risk of all-site cancer compared to men with diabetes (RRR=1.06; 95% CI 1.03, 1.09; P<0.001).

The women-to-men ratios also showed significantly higher risks for female diabetics for:

  • Kidney cancer—RRR=1.11 (99% CI 1.04, 1.18; P<0.001)
  • Oral cancer—RRR=1.13 (99% CI 1.00, 1.28; P=0.009)
  • Stomach cancer—RRR=1.14 (99% CI 1.07, 1.22; P<0.001)
  • Leukemia—RRR=1.15 (99% CI 1.02, 1.28; P=0.002).

However, women had a significantly lower risk of liver cancer (RRR=0.88; 99% CI 0.79, 0.99; P=0.005).

There are several possible reasons for the excess cancer risk observed in women, according to study author Sanne Peters, PhD, of The George Institute for Global Health at the University of Oxford in the UK.

For example, on average, women are in the pre-diabetic state of impaired glucose tolerance 2 years longer than men.

“Historically, we know that women are often under-treated when they first present with symptoms of diabetes, are less likely to receive intensive care, and are not taking the same levels of medications as men,” Dr Peters said. “All of these could go some way into explaining why women are at greater risk of developing cancer, but, without more research, we can’t be certain.”

Photo by Rhoda Baer
Cancer patient receiving chemotherapy

A review of data from more than 19 million people indicates that diabetes significantly raises a person’s risk of developing cancer.

When researchers compared patients with diabetes and without, both male and female diabetics had an increased risk of leukemias and lymphomas as well as certain solid tumors.

Researchers also found that diabetes conferred a higher cancer risk for women than men, both for all cancers combined and for some specific cancers, including leukemia.

“The link between diabetes and the risk of developing cancer is now firmly established,” said Toshiaki Ohkuma, PhD, of The George Institute for Global Health at the University of New South Wales in Australia.

“We have also demonstrated, for the first time, that women with diabetes are more likely to develop any form of cancer and have a significantly higher chance of developing kidney, oral, and stomach cancers and leukemia.”

Dr Ohkuma and his colleagues reported these findings in Diabetologia.

The researchers conducted a systematic search in PubMed MEDLINE to identify reports on the links between diabetes and cancer. Additional reports were identified from the reference lists of the relevant studies.

Only those cohort studies providing relative risks (RRs) for the association between diabetes and cancer for both women and men were included. In total, 107 relevant articles were identified, along with 36 cohorts of individual participant data.

RRs for cancer were obtained for patients with diabetes (types 1 and 2 combined) versus those without diabetes, for both men and women. The women-to-men ratios of these relative risk ratios (RRRs) were then calculated to determine the excess risk in women if present.

Data on all-site cancer was available from 47 studies, involving 121 cohorts and 19,239,302 individuals.

Diabetics vs non-diabetics

Women with diabetes had a 27% higher risk of all-site cancer compared to women without diabetes (RR=1.27; 95% CI 1.21, 1.32; P<0.001).

For men, the risk of all-site cancer was 19% higher among those with diabetes than those without (RR=1.19; 95% CI 1.13, 1.25; P<0.001).

There were several hematologic malignancies for which diabetics had an increased risk, as shown in the following table.

Cancer type RR for women

(99% CI)
RR for men

(99% CI)
Lymphatic and hematopoietic tissue 1.24 (1.05, 1.46)* 1.21 (0.98, 1.48)
Leukemia 1.53 (1.00, 2.33) 1.22 (0.80, 1.85)
Myeloid leukemia 0.83 (0.39, 1.76) 1.12 (0.77, 1.62)
Acute myeloid leukemia 1.33 (1.12, 1.57)* 1.14 (0.56, 2.33)
Chronic myeloid leukemia 1.67 (1.27, 2.20)* 1.62 (1.32, 1.98)*
Lymphoid leukemia 1.74 (0.31, 9.79) 1.20 (0.86, 1.68)
Lymphoma 2.31 (0.57, 9.30) 1.80 (0.68, 4.75)
Non-Hodgkin lymphoma 1.16 (1.02, 1.32)* 1.20 (1.08, 1.34)*
Hodgkin lymphoma 1.20 (0.61, 2.38) 1.36 (1.05, 1.77)*
Multiple myeloma 1.19 (0.97, 1.47) 1.12 (0.90, 1.41)
*denotes statistical significance with a P value < 0.01

Sex comparison

Calculation of the women-to-men ratio revealed that women with diabetes had a 6% greater excess risk of all-site cancer compared to men with diabetes (RRR=1.06; 95% CI 1.03, 1.09; P<0.001).

The women-to-men ratios also showed significantly higher risks for female diabetics for:

  • Kidney cancer—RRR=1.11 (99% CI 1.04, 1.18; P<0.001)
  • Oral cancer—RRR=1.13 (99% CI 1.00, 1.28; P=0.009)
  • Stomach cancer—RRR=1.14 (99% CI 1.07, 1.22; P<0.001)
  • Leukemia—RRR=1.15 (99% CI 1.02, 1.28; P=0.002).

However, women had a significantly lower risk of liver cancer (RRR=0.88; 99% CI 0.79, 0.99; P=0.005).

There are several possible reasons for the excess cancer risk observed in women, according to study author Sanne Peters, PhD, of The George Institute for Global Health at the University of Oxford in the UK.

For example, on average, women are in the pre-diabetic state of impaired glucose tolerance 2 years longer than men.

“Historically, we know that women are often under-treated when they first present with symptoms of diabetes, are less likely to receive intensive care, and are not taking the same levels of medications as men,” Dr Peters said. “All of these could go some way into explaining why women are at greater risk of developing cancer, but, without more research, we can’t be certain.”

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Adding elotuzumab improves myeloma PFS over pom/dex alone

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STOCKHOLM –Adding the monoclonal antibody elotuzumab to pomalidomide and dexamethasone nearly doubled the overall response rate and median progression-free survival in patients with relapsed/refractory multiple myeloma compared with pomalidomide and dexamethasone alone, results of the phase 2 ELOQUENT-3 trial showed.

Neil Osterweil/MDedge News
Dr. Meletios A. Dimopoulos

After a minimum follow-up of 9.1 months, median progression-free survival (PFS) for 60 patients assigned to receive elotuzumab (Empliciti), pomalidomide (Pomalyst), and dexamethasone (EPd) was 10.3 months, compared with 4.7 months for 60 patients assigned to pomalidomide and dexamethasone (Pd). This difference translated into a hazard ratio (HR) of 0.54 (P = .0078) favoring EPd, reported Meletios A. Dimopoulos, MD, of the National and Kapodistrian University of Athens (Greece).

“The study met its primary endpoint, which was specifically designed to detect a large treatment effect in a relatively small sample of patients. Elotuzumab with pomalidomide and dexamethasone showed a significant and clinically meaningful 46% reduction in the risk of progression or death,” he said at the annual congress of the European Hematology Association.

Elotuzumab is an immunoglobulin G (IgG) monoclonal antibody that targets signaling lymphocytic activation molecule F7 (SLAMF7) expressed on multiple myeloma cells. Pomalidomide, an immunomodulator, may act synergistically with elotuzumab through several different mechanisms to increase killing of multiple myeloma cells, Dr. Dimopoulos said.

In ELOQUENT-3, patients with relapsed or refractory multiple myeloma after 2 or more prior lines of therapy, including lenalidomide (Revlimid) and a proteasome inhibitor and no prior pomalidomide were enrolled and randomly assigned to receive either pomalidomide 4 mg orally on days 1-21 of each 28-day cycle plus oral dexamethasone 40 mg equivalent weekly, or to the same regimen plus intravenous elotuzumab 10 mg/kg weekly for cycles 1 and 2, and 20 mg/kg every 4 weeks for cycle 3 and subsequent cycles.

The trial met its primary endpoint of investigator-assessed PFS, with a 46% reduction in the risk of progression or death with EPd compared with Pd.

An analysis of PFS by subgroups showed that EPd was significantly superior to Pd for patients younger than 65 years, those with International Staging System stage I-II at study entry, patients with lactate dehydrogenase levels below 300 IU/L at baseline, patients who had two or three prior lines of therapy vs. four or more, and those who had disease that was refractory to both lenalidomide and a proteasome inhibitor.

EPd was also associated with a trend toward better PFS in an analysis combining patients with high-risk cytogenetics (deletion 17p or translocation 14;16) or high LDH levels, with a median of 7.7 months compared with 3.6 months for Pd. However, the HR, 0.55, was not statistically significant, likely because of the small sample size.

Similarly, the elotuzumab-containing combination showed a nonsignificant trend toward better PFS among patients without high risk disease, with a median PFS not reached, vs. not reached, vs. 4.7 months for patients treated with Pd.

The overall response rate with EPd was 53%, compared with 26% for Pd (odds ratio 3.5, P = .0029). The responses in the elotuzumab arm consisted of 8% complete response, 12% very good partial responses, and 33% partial responses. The respective rates in the Pd group were 2%, 7%, and 18%.

The median duration of response with EPd was not reached at the time of the database lock, compared with 8.3 months with Pd.

A preliminary analysis of overall survival showed a trend favoring EPd (13 deaths out to 22 months of follow-up, compared with 18 deaths out to 20 months in the Pd arm; HR 0.62, nonsignificant).

There were five treatment-related deaths in the EPd arm, and eight in the Pd arm. Grade 1 or 2 infusion reactions occurred in three patients in the EPd arm.

Other adverse events were comparable between the arms, with 57% of patients in the EPd arm and 60% in the Pd arm having at least one grade 3 or 4 adverse event.

“The hematologic toxicity was driven by pomalidomide and low-dose dexamethasone. For unclear reasons, there was less grade 3 or 4 neutropenia with the addition of elotuzumab to pomalidomide/dexamethasone, and also the infection rate was lower in the EPd arm,” Dr. Dimopoulos said.
 

SOURCE: Dimopoulos MA et al. EHA Congress, Abstract LB2606.

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STOCKHOLM –Adding the monoclonal antibody elotuzumab to pomalidomide and dexamethasone nearly doubled the overall response rate and median progression-free survival in patients with relapsed/refractory multiple myeloma compared with pomalidomide and dexamethasone alone, results of the phase 2 ELOQUENT-3 trial showed.

Neil Osterweil/MDedge News
Dr. Meletios A. Dimopoulos

After a minimum follow-up of 9.1 months, median progression-free survival (PFS) for 60 patients assigned to receive elotuzumab (Empliciti), pomalidomide (Pomalyst), and dexamethasone (EPd) was 10.3 months, compared with 4.7 months for 60 patients assigned to pomalidomide and dexamethasone (Pd). This difference translated into a hazard ratio (HR) of 0.54 (P = .0078) favoring EPd, reported Meletios A. Dimopoulos, MD, of the National and Kapodistrian University of Athens (Greece).

“The study met its primary endpoint, which was specifically designed to detect a large treatment effect in a relatively small sample of patients. Elotuzumab with pomalidomide and dexamethasone showed a significant and clinically meaningful 46% reduction in the risk of progression or death,” he said at the annual congress of the European Hematology Association.

Elotuzumab is an immunoglobulin G (IgG) monoclonal antibody that targets signaling lymphocytic activation molecule F7 (SLAMF7) expressed on multiple myeloma cells. Pomalidomide, an immunomodulator, may act synergistically with elotuzumab through several different mechanisms to increase killing of multiple myeloma cells, Dr. Dimopoulos said.

In ELOQUENT-3, patients with relapsed or refractory multiple myeloma after 2 or more prior lines of therapy, including lenalidomide (Revlimid) and a proteasome inhibitor and no prior pomalidomide were enrolled and randomly assigned to receive either pomalidomide 4 mg orally on days 1-21 of each 28-day cycle plus oral dexamethasone 40 mg equivalent weekly, or to the same regimen plus intravenous elotuzumab 10 mg/kg weekly for cycles 1 and 2, and 20 mg/kg every 4 weeks for cycle 3 and subsequent cycles.

The trial met its primary endpoint of investigator-assessed PFS, with a 46% reduction in the risk of progression or death with EPd compared with Pd.

An analysis of PFS by subgroups showed that EPd was significantly superior to Pd for patients younger than 65 years, those with International Staging System stage I-II at study entry, patients with lactate dehydrogenase levels below 300 IU/L at baseline, patients who had two or three prior lines of therapy vs. four or more, and those who had disease that was refractory to both lenalidomide and a proteasome inhibitor.

EPd was also associated with a trend toward better PFS in an analysis combining patients with high-risk cytogenetics (deletion 17p or translocation 14;16) or high LDH levels, with a median of 7.7 months compared with 3.6 months for Pd. However, the HR, 0.55, was not statistically significant, likely because of the small sample size.

Similarly, the elotuzumab-containing combination showed a nonsignificant trend toward better PFS among patients without high risk disease, with a median PFS not reached, vs. not reached, vs. 4.7 months for patients treated with Pd.

The overall response rate with EPd was 53%, compared with 26% for Pd (odds ratio 3.5, P = .0029). The responses in the elotuzumab arm consisted of 8% complete response, 12% very good partial responses, and 33% partial responses. The respective rates in the Pd group were 2%, 7%, and 18%.

The median duration of response with EPd was not reached at the time of the database lock, compared with 8.3 months with Pd.

A preliminary analysis of overall survival showed a trend favoring EPd (13 deaths out to 22 months of follow-up, compared with 18 deaths out to 20 months in the Pd arm; HR 0.62, nonsignificant).

There were five treatment-related deaths in the EPd arm, and eight in the Pd arm. Grade 1 or 2 infusion reactions occurred in three patients in the EPd arm.

Other adverse events were comparable between the arms, with 57% of patients in the EPd arm and 60% in the Pd arm having at least one grade 3 or 4 adverse event.

“The hematologic toxicity was driven by pomalidomide and low-dose dexamethasone. For unclear reasons, there was less grade 3 or 4 neutropenia with the addition of elotuzumab to pomalidomide/dexamethasone, and also the infection rate was lower in the EPd arm,” Dr. Dimopoulos said.
 

SOURCE: Dimopoulos MA et al. EHA Congress, Abstract LB2606.

 

STOCKHOLM –Adding the monoclonal antibody elotuzumab to pomalidomide and dexamethasone nearly doubled the overall response rate and median progression-free survival in patients with relapsed/refractory multiple myeloma compared with pomalidomide and dexamethasone alone, results of the phase 2 ELOQUENT-3 trial showed.

Neil Osterweil/MDedge News
Dr. Meletios A. Dimopoulos

After a minimum follow-up of 9.1 months, median progression-free survival (PFS) for 60 patients assigned to receive elotuzumab (Empliciti), pomalidomide (Pomalyst), and dexamethasone (EPd) was 10.3 months, compared with 4.7 months for 60 patients assigned to pomalidomide and dexamethasone (Pd). This difference translated into a hazard ratio (HR) of 0.54 (P = .0078) favoring EPd, reported Meletios A. Dimopoulos, MD, of the National and Kapodistrian University of Athens (Greece).

“The study met its primary endpoint, which was specifically designed to detect a large treatment effect in a relatively small sample of patients. Elotuzumab with pomalidomide and dexamethasone showed a significant and clinically meaningful 46% reduction in the risk of progression or death,” he said at the annual congress of the European Hematology Association.

Elotuzumab is an immunoglobulin G (IgG) monoclonal antibody that targets signaling lymphocytic activation molecule F7 (SLAMF7) expressed on multiple myeloma cells. Pomalidomide, an immunomodulator, may act synergistically with elotuzumab through several different mechanisms to increase killing of multiple myeloma cells, Dr. Dimopoulos said.

In ELOQUENT-3, patients with relapsed or refractory multiple myeloma after 2 or more prior lines of therapy, including lenalidomide (Revlimid) and a proteasome inhibitor and no prior pomalidomide were enrolled and randomly assigned to receive either pomalidomide 4 mg orally on days 1-21 of each 28-day cycle plus oral dexamethasone 40 mg equivalent weekly, or to the same regimen plus intravenous elotuzumab 10 mg/kg weekly for cycles 1 and 2, and 20 mg/kg every 4 weeks for cycle 3 and subsequent cycles.

The trial met its primary endpoint of investigator-assessed PFS, with a 46% reduction in the risk of progression or death with EPd compared with Pd.

An analysis of PFS by subgroups showed that EPd was significantly superior to Pd for patients younger than 65 years, those with International Staging System stage I-II at study entry, patients with lactate dehydrogenase levels below 300 IU/L at baseline, patients who had two or three prior lines of therapy vs. four or more, and those who had disease that was refractory to both lenalidomide and a proteasome inhibitor.

EPd was also associated with a trend toward better PFS in an analysis combining patients with high-risk cytogenetics (deletion 17p or translocation 14;16) or high LDH levels, with a median of 7.7 months compared with 3.6 months for Pd. However, the HR, 0.55, was not statistically significant, likely because of the small sample size.

Similarly, the elotuzumab-containing combination showed a nonsignificant trend toward better PFS among patients without high risk disease, with a median PFS not reached, vs. not reached, vs. 4.7 months for patients treated with Pd.

The overall response rate with EPd was 53%, compared with 26% for Pd (odds ratio 3.5, P = .0029). The responses in the elotuzumab arm consisted of 8% complete response, 12% very good partial responses, and 33% partial responses. The respective rates in the Pd group were 2%, 7%, and 18%.

The median duration of response with EPd was not reached at the time of the database lock, compared with 8.3 months with Pd.

A preliminary analysis of overall survival showed a trend favoring EPd (13 deaths out to 22 months of follow-up, compared with 18 deaths out to 20 months in the Pd arm; HR 0.62, nonsignificant).

There were five treatment-related deaths in the EPd arm, and eight in the Pd arm. Grade 1 or 2 infusion reactions occurred in three patients in the EPd arm.

Other adverse events were comparable between the arms, with 57% of patients in the EPd arm and 60% in the Pd arm having at least one grade 3 or 4 adverse event.

“The hematologic toxicity was driven by pomalidomide and low-dose dexamethasone. For unclear reasons, there was less grade 3 or 4 neutropenia with the addition of elotuzumab to pomalidomide/dexamethasone, and also the infection rate was lower in the EPd arm,” Dr. Dimopoulos said.
 

SOURCE: Dimopoulos MA et al. EHA Congress, Abstract LB2606.

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REPORTING FROM THE EHA CONGRESS

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Key clinical point: Elotuzumab may have synergistic clinical activity with pomalidomide against multiple myeloma.

Major finding: Median PFS was 10.3 months with elotuzumab, pomalidomide, and dexamethasone vs. 4.7 months with pomalidomide and dexamethasone.

Study details: Randomized open-label phase 2 trial of 120 patients with multiple myeloma relapsed or refractory after 2 or more prior lines of therapy.

Disclosures: Bristol-Myers Squibb and AbbVie Biotherapeutics funded the study. Dr. Dimopoulos disclosed honoraria and/or consulting fees from Amgen, BMS, Celgene, Janssen and Takeda.

Source: Dimopoulos MA et al. EHA Congress, Abstract LB2606.

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Investigators question utility of SFLCA

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Investigators question utility of SFLCA

Augusta University
Won Sok Lee (left) and Gurmukh Singh Photo by Phil Jones,

Researchers are questioning the clinical usefulness of the serum free light chain assay (SFLCA) for patients with monoclonal gammopathies.

The investigators found evidence suggesting that, about 25% of the time, SFLCA provides a negative κ/λ ratio in patients with lambda chain monoclonal gammopathies who have free homogenous lambda light chains detectable in their urine.

“If you have a lambda chain-associated lesion and you don’t do a urine study—just rely on the serum free light chain assay—about 1 out of 4 times, the assay will tell you that you don’t have anything when you actually do,” explained Won Sok Lee, MD, of the Medical College of Georgia at Augusta University.

“When you test the serum, we suggest you also test the urine whenever you suspect that somebody has a tumor of the plasma cells,” said Gurmukh Singh, MD, PhD, also of the Medical College of Georgia.

Drs Singh and Lee made this recommendation and detailed the supporting research in the Journal of Clinical Medicine Research.

The researchers evaluated results of serum and urine tests in 175 patients with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or multiple/plasma cell myeloma (MM).

In addition to results of SFLCA, the investigators looked at results of serum protein electrophoresis, serum protein immunofixation electrophoresis, urine protein electrophoresis, and urine protein immunofixation electrophoresis.

This analysis revealed “systematic under-detection” of serum free lambda light chains by SFLCA as well as an under-detection of the lambda-dominant ratio.

The researchers integrated the results of this study with findings from an earlier study* and concluded that, as compared to kappa chain lesions:

  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MGUS is 29%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MM is 32%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in all neoplastic monoclonal gammopathies (MGUS, MM, and SMM) is approximately 30%.

The investigators said they believe that 5% of the 30% false-negative rate is a result of under-production of excess free lambda light chains, and about 25% could be due to under-detection of monoclonal lambda light chains by SFLCA.

“[A patient] may go undiagnosed because the serum free light chain test either is not picking up those abnormal proteins or the lambda lesions don’t make that many excess abnormal proteins,” Dr Singh said.

However, Drs Singh and Lee also said it’s possible that unknown factors, such as general over-production of polyclonal kappa light chains in tertiary care patients, may alter the κ/λ ratio.

*Singh, G. Serum Free Light Chain Assay and κ/λ Ratio: Performance in Patients With Monoclonal Gammopathy-High False Negative Rate for κ/λ Ratio. J Clin Med Res. 2017 Jan; 9(1): 46–57.

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Augusta University
Won Sok Lee (left) and Gurmukh Singh Photo by Phil Jones,

Researchers are questioning the clinical usefulness of the serum free light chain assay (SFLCA) for patients with monoclonal gammopathies.

The investigators found evidence suggesting that, about 25% of the time, SFLCA provides a negative κ/λ ratio in patients with lambda chain monoclonal gammopathies who have free homogenous lambda light chains detectable in their urine.

“If you have a lambda chain-associated lesion and you don’t do a urine study—just rely on the serum free light chain assay—about 1 out of 4 times, the assay will tell you that you don’t have anything when you actually do,” explained Won Sok Lee, MD, of the Medical College of Georgia at Augusta University.

“When you test the serum, we suggest you also test the urine whenever you suspect that somebody has a tumor of the plasma cells,” said Gurmukh Singh, MD, PhD, also of the Medical College of Georgia.

Drs Singh and Lee made this recommendation and detailed the supporting research in the Journal of Clinical Medicine Research.

The researchers evaluated results of serum and urine tests in 175 patients with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or multiple/plasma cell myeloma (MM).

In addition to results of SFLCA, the investigators looked at results of serum protein electrophoresis, serum protein immunofixation electrophoresis, urine protein electrophoresis, and urine protein immunofixation electrophoresis.

This analysis revealed “systematic under-detection” of serum free lambda light chains by SFLCA as well as an under-detection of the lambda-dominant ratio.

The researchers integrated the results of this study with findings from an earlier study* and concluded that, as compared to kappa chain lesions:

  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MGUS is 29%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MM is 32%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in all neoplastic monoclonal gammopathies (MGUS, MM, and SMM) is approximately 30%.

The investigators said they believe that 5% of the 30% false-negative rate is a result of under-production of excess free lambda light chains, and about 25% could be due to under-detection of monoclonal lambda light chains by SFLCA.

“[A patient] may go undiagnosed because the serum free light chain test either is not picking up those abnormal proteins or the lambda lesions don’t make that many excess abnormal proteins,” Dr Singh said.

However, Drs Singh and Lee also said it’s possible that unknown factors, such as general over-production of polyclonal kappa light chains in tertiary care patients, may alter the κ/λ ratio.

*Singh, G. Serum Free Light Chain Assay and κ/λ Ratio: Performance in Patients With Monoclonal Gammopathy-High False Negative Rate for κ/λ Ratio. J Clin Med Res. 2017 Jan; 9(1): 46–57.

Augusta University
Won Sok Lee (left) and Gurmukh Singh Photo by Phil Jones,

Researchers are questioning the clinical usefulness of the serum free light chain assay (SFLCA) for patients with monoclonal gammopathies.

The investigators found evidence suggesting that, about 25% of the time, SFLCA provides a negative κ/λ ratio in patients with lambda chain monoclonal gammopathies who have free homogenous lambda light chains detectable in their urine.

“If you have a lambda chain-associated lesion and you don’t do a urine study—just rely on the serum free light chain assay—about 1 out of 4 times, the assay will tell you that you don’t have anything when you actually do,” explained Won Sok Lee, MD, of the Medical College of Georgia at Augusta University.

“When you test the serum, we suggest you also test the urine whenever you suspect that somebody has a tumor of the plasma cells,” said Gurmukh Singh, MD, PhD, also of the Medical College of Georgia.

Drs Singh and Lee made this recommendation and detailed the supporting research in the Journal of Clinical Medicine Research.

The researchers evaluated results of serum and urine tests in 175 patients with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or multiple/plasma cell myeloma (MM).

In addition to results of SFLCA, the investigators looked at results of serum protein electrophoresis, serum protein immunofixation electrophoresis, urine protein electrophoresis, and urine protein immunofixation electrophoresis.

This analysis revealed “systematic under-detection” of serum free lambda light chains by SFLCA as well as an under-detection of the lambda-dominant ratio.

The researchers integrated the results of this study with findings from an earlier study* and concluded that, as compared to kappa chain lesions:

  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MGUS is 29%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in MM is 32%
  • The excess false-negative rate of κ/λ ratio for lambda chain lesions in all neoplastic monoclonal gammopathies (MGUS, MM, and SMM) is approximately 30%.

The investigators said they believe that 5% of the 30% false-negative rate is a result of under-production of excess free lambda light chains, and about 25% could be due to under-detection of monoclonal lambda light chains by SFLCA.

“[A patient] may go undiagnosed because the serum free light chain test either is not picking up those abnormal proteins or the lambda lesions don’t make that many excess abnormal proteins,” Dr Singh said.

However, Drs Singh and Lee also said it’s possible that unknown factors, such as general over-production of polyclonal kappa light chains in tertiary care patients, may alter the κ/λ ratio.

*Singh, G. Serum Free Light Chain Assay and κ/λ Ratio: Performance in Patients With Monoclonal Gammopathy-High False Negative Rate for κ/λ Ratio. J Clin Med Res. 2017 Jan; 9(1): 46–57.

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CAR T Therapy: From Bench to Bedside and Back

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Release Date: July 15, 2018
Expiration Date: July 14, 2019

Note: This activity is no longer available for credit

 

Introductory Comments: (Duration: 9 minutes)

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, MD

Presentation: (Duration: 39 minutes)

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA

Provided by:

Learning Objectives

• Review clinical data and individual case studies to determine where CAR T-cell therapy might be appropriate in the treatment of adult and pediatric patients with leukemia, lymphoma, and multiple myeloma.

• Discuss the management of cytotoxicity of CAR T-cell therapy.

Target Audience

Hematologists, oncologists, and other members of the healthcare team who treat or manage patients with hematologic malignancies.

Statement of Need

It is critical that clinicians managing patients with acute leukemia and other hematologic malignancies are cognizant of exciting breakthroughs and are also able to integrate recent progress into practice. However, given the overwhelming influx of data, it is no surprise that many hematology professionals face difficulties in identifying the most relevant findings for clinical practice. Hematologists are unable to stay abreast of the latest evidence on investigational agents. Educational programs are thus crucial to address this important professional practice gap.

Faculty

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA
Disclosures: Consultant: Novartis; Grant/Research support and royalties/IPR: Novartis
Stockholder: Tmunity Therapeutics, Inc.

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, Maryland
Disclosures: No relevant financial relationships with a commercial supporter

Permissions

  • Slide 3: Complex tumor, host and environmental factors govern the strength and timing of anti-cancer immune responses
    • Reprinted from Immunity, Vol 39/No 1, Chen DS, Mellman I, Oncology meets immunology: the cancer-immunity cycle, pp 1-10, 2013, with permission from Elsevier
  • Slide 9: Genes differentially expressed in CART19 cellular infusion products from CLL patients
    • From Fraietta JA, Lacey SF, Orlando EJ, . . . June CH, Melenhorst JJ. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat Med 2018; 24:563-571
  • Slide 10: Characterization of CLL CAR T cells in NSG CLL model
    • Same as slide 9
  • Slide 15: First adult ALL patient
  • Slide 21: Efficient trafficking of CTL019 T Cells to CNS in ALL
    • From N Engl J Med, Grupp SA, Kalos M, Barrett D, . . V. June CH, Chimeric antigen receptor-modified T cells for acute lymphoid leukemia, Volume No 368, pp 1509-1518. Copyright © 2013 Massachusetts Medical Society. Reprinted with permission from Massachusetts Medical Society.
  • Slide 26: Long-term persistence and expression of CTL019 is associated with durable remission in leukemia: Predictive Biomarker
    • From Porter DL, Hwang WT, Frey NV . . . June CH. Chimeric antigen receptor T cells persist and induce sustained remissions in relapsed refractory chronic lymphocytic leukemia. Sci Transl Med 2015; 7(303):303ra139. Reprinted with permission from AAAS.
  • Slide 28: Rapid massive expansion of clonal CART cell population in patient #10
    • Initially published in Fraietta JA, Nobles CL, Sammons MA, . . . June CH, Melenhors JJ. Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells. Nature 2018; 558(7709):307-312
  • Slide 29: Mapping CAR integration site in Pt #10
    • Same as slide 28.
  • Slide 31: Long-term stable persistence of TET2-deficient CAR T cells in Pt #10
    • Same as slide 28
  • Slide 32: Epigenetic and genetic changes uncovered by ATAC-seq in Pt #10
    • Same as slide 28.
  • Slide 33: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 34: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 36: CAR T for myeloma: BCMA
    • From Rickert RC, Jellusova J, Miletic AV. Signaling by the tumor necrosis factor receptor superfamily in B-cell biology and disease. Immunol Rev 2011; 244(1):115-33. Reprinted with permission from John Wiley and Sons.
  • Slide 38: CAR T for myeloma: Patient #1
  • Slide 39: Autoimmunity is the “Achilles’ Heel” of immunotherapy
    • First published in June CH, Warshauer JT, and Bluestone JA. Is autoimmunity the Achilles’ heel of cancer immunotherapy? Nat Med 2017;23(5):540-7
  • Slide 41: Multiplex CRISPR /Cas9 editing: Universal T cells TCR, HLA, PD-1, CTLA-4 and Fas
    • From Ren J, Zhang X, Liu X, Fang C, Jiang S, June CH, Zhao Y. A versatile system for rapid multiplex genome-edited CAR T cell generation. Oncotarget 2017; 8:17002-17011.
  • Slide 45: CAR T-cell trials for cancer are now global
    • From June CH, O’Connor RS, Kawalekar OU, Ghassemi S, Milone MC. CAR T cell immunotherapy for human cancer. Science 2018; 359:1361-1365. Reprinted with permission from AAAS.

Disclaimer

The content and views presented in this educational activity are those of the author and do not necessarily reflect those of Hemedicus or Frontline Medical Communications. This material is prepared based upon a review of multiple sources of information, but it is not exhaustive of the subject matter. Therefore, healthcare professionals and other individuals should review and consider other publications and materials on the subject matter before relying solely upon the information contained within this educational activity.

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Topics
Sections

Release Date: July 15, 2018
Expiration Date: July 14, 2019

Note: This activity is no longer available for credit

 

Introductory Comments: (Duration: 9 minutes)

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, MD

Presentation: (Duration: 39 minutes)

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA

Provided by:

Learning Objectives

• Review clinical data and individual case studies to determine where CAR T-cell therapy might be appropriate in the treatment of adult and pediatric patients with leukemia, lymphoma, and multiple myeloma.

• Discuss the management of cytotoxicity of CAR T-cell therapy.

Target Audience

Hematologists, oncologists, and other members of the healthcare team who treat or manage patients with hematologic malignancies.

Statement of Need

It is critical that clinicians managing patients with acute leukemia and other hematologic malignancies are cognizant of exciting breakthroughs and are also able to integrate recent progress into practice. However, given the overwhelming influx of data, it is no surprise that many hematology professionals face difficulties in identifying the most relevant findings for clinical practice. Hematologists are unable to stay abreast of the latest evidence on investigational agents. Educational programs are thus crucial to address this important professional practice gap.

Faculty

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA
Disclosures: Consultant: Novartis; Grant/Research support and royalties/IPR: Novartis
Stockholder: Tmunity Therapeutics, Inc.

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, Maryland
Disclosures: No relevant financial relationships with a commercial supporter

Permissions

  • Slide 3: Complex tumor, host and environmental factors govern the strength and timing of anti-cancer immune responses
    • Reprinted from Immunity, Vol 39/No 1, Chen DS, Mellman I, Oncology meets immunology: the cancer-immunity cycle, pp 1-10, 2013, with permission from Elsevier
  • Slide 9: Genes differentially expressed in CART19 cellular infusion products from CLL patients
    • From Fraietta JA, Lacey SF, Orlando EJ, . . . June CH, Melenhorst JJ. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat Med 2018; 24:563-571
  • Slide 10: Characterization of CLL CAR T cells in NSG CLL model
    • Same as slide 9
  • Slide 15: First adult ALL patient
  • Slide 21: Efficient trafficking of CTL019 T Cells to CNS in ALL
    • From N Engl J Med, Grupp SA, Kalos M, Barrett D, . . V. June CH, Chimeric antigen receptor-modified T cells for acute lymphoid leukemia, Volume No 368, pp 1509-1518. Copyright © 2013 Massachusetts Medical Society. Reprinted with permission from Massachusetts Medical Society.
  • Slide 26: Long-term persistence and expression of CTL019 is associated with durable remission in leukemia: Predictive Biomarker
    • From Porter DL, Hwang WT, Frey NV . . . June CH. Chimeric antigen receptor T cells persist and induce sustained remissions in relapsed refractory chronic lymphocytic leukemia. Sci Transl Med 2015; 7(303):303ra139. Reprinted with permission from AAAS.
  • Slide 28: Rapid massive expansion of clonal CART cell population in patient #10
    • Initially published in Fraietta JA, Nobles CL, Sammons MA, . . . June CH, Melenhors JJ. Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells. Nature 2018; 558(7709):307-312
  • Slide 29: Mapping CAR integration site in Pt #10
    • Same as slide 28.
  • Slide 31: Long-term stable persistence of TET2-deficient CAR T cells in Pt #10
    • Same as slide 28
  • Slide 32: Epigenetic and genetic changes uncovered by ATAC-seq in Pt #10
    • Same as slide 28.
  • Slide 33: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 34: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 36: CAR T for myeloma: BCMA
    • From Rickert RC, Jellusova J, Miletic AV. Signaling by the tumor necrosis factor receptor superfamily in B-cell biology and disease. Immunol Rev 2011; 244(1):115-33. Reprinted with permission from John Wiley and Sons.
  • Slide 38: CAR T for myeloma: Patient #1
  • Slide 39: Autoimmunity is the “Achilles’ Heel” of immunotherapy
    • First published in June CH, Warshauer JT, and Bluestone JA. Is autoimmunity the Achilles’ heel of cancer immunotherapy? Nat Med 2017;23(5):540-7
  • Slide 41: Multiplex CRISPR /Cas9 editing: Universal T cells TCR, HLA, PD-1, CTLA-4 and Fas
    • From Ren J, Zhang X, Liu X, Fang C, Jiang S, June CH, Zhao Y. A versatile system for rapid multiplex genome-edited CAR T cell generation. Oncotarget 2017; 8:17002-17011.
  • Slide 45: CAR T-cell trials for cancer are now global
    • From June CH, O’Connor RS, Kawalekar OU, Ghassemi S, Milone MC. CAR T cell immunotherapy for human cancer. Science 2018; 359:1361-1365. Reprinted with permission from AAAS.

Disclaimer

The content and views presented in this educational activity are those of the author and do not necessarily reflect those of Hemedicus or Frontline Medical Communications. This material is prepared based upon a review of multiple sources of information, but it is not exhaustive of the subject matter. Therefore, healthcare professionals and other individuals should review and consider other publications and materials on the subject matter before relying solely upon the information contained within this educational activity.

Release Date: July 15, 2018
Expiration Date: July 14, 2019

Note: This activity is no longer available for credit

 

Introductory Comments: (Duration: 9 minutes)

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, MD

Presentation: (Duration: 39 minutes)

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA

Provided by:

Learning Objectives

• Review clinical data and individual case studies to determine where CAR T-cell therapy might be appropriate in the treatment of adult and pediatric patients with leukemia, lymphoma, and multiple myeloma.

• Discuss the management of cytotoxicity of CAR T-cell therapy.

Target Audience

Hematologists, oncologists, and other members of the healthcare team who treat or manage patients with hematologic malignancies.

Statement of Need

It is critical that clinicians managing patients with acute leukemia and other hematologic malignancies are cognizant of exciting breakthroughs and are also able to integrate recent progress into practice. However, given the overwhelming influx of data, it is no surprise that many hematology professionals face difficulties in identifying the most relevant findings for clinical practice. Hematologists are unable to stay abreast of the latest evidence on investigational agents. Educational programs are thus crucial to address this important professional practice gap.

Faculty

Carl H. June, MD
Richard W. Vague Professor in Immunotherapy
Perelman School of Medicine
University of Pennsylvania
Philadelphia, PA
Disclosures: Consultant: Novartis; Grant/Research support and royalties/IPR: Novartis
Stockholder: Tmunity Therapeutics, Inc.

Aaron P. Rapoport, MD
Bone Marrow Transplant Program
University of Maryland School of Medicine
Baltimore, Maryland
Disclosures: No relevant financial relationships with a commercial supporter

Permissions

  • Slide 3: Complex tumor, host and environmental factors govern the strength and timing of anti-cancer immune responses
    • Reprinted from Immunity, Vol 39/No 1, Chen DS, Mellman I, Oncology meets immunology: the cancer-immunity cycle, pp 1-10, 2013, with permission from Elsevier
  • Slide 9: Genes differentially expressed in CART19 cellular infusion products from CLL patients
    • From Fraietta JA, Lacey SF, Orlando EJ, . . . June CH, Melenhorst JJ. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia. Nat Med 2018; 24:563-571
  • Slide 10: Characterization of CLL CAR T cells in NSG CLL model
    • Same as slide 9
  • Slide 15: First adult ALL patient
  • Slide 21: Efficient trafficking of CTL019 T Cells to CNS in ALL
    • From N Engl J Med, Grupp SA, Kalos M, Barrett D, . . V. June CH, Chimeric antigen receptor-modified T cells for acute lymphoid leukemia, Volume No 368, pp 1509-1518. Copyright © 2013 Massachusetts Medical Society. Reprinted with permission from Massachusetts Medical Society.
  • Slide 26: Long-term persistence and expression of CTL019 is associated with durable remission in leukemia: Predictive Biomarker
    • From Porter DL, Hwang WT, Frey NV . . . June CH. Chimeric antigen receptor T cells persist and induce sustained remissions in relapsed refractory chronic lymphocytic leukemia. Sci Transl Med 2015; 7(303):303ra139. Reprinted with permission from AAAS.
  • Slide 28: Rapid massive expansion of clonal CART cell population in patient #10
    • Initially published in Fraietta JA, Nobles CL, Sammons MA, . . . June CH, Melenhors JJ. Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells. Nature 2018; 558(7709):307-312
  • Slide 29: Mapping CAR integration site in Pt #10
    • Same as slide 28.
  • Slide 31: Long-term stable persistence of TET2-deficient CAR T cells in Pt #10
    • Same as slide 28
  • Slide 32: Epigenetic and genetic changes uncovered by ATAC-seq in Pt #10
    • Same as slide 28.
  • Slide 33: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 34: TET2 knock down in healthy donor T cells
    • Same as slide 28.
  • Slide 36: CAR T for myeloma: BCMA
    • From Rickert RC, Jellusova J, Miletic AV. Signaling by the tumor necrosis factor receptor superfamily in B-cell biology and disease. Immunol Rev 2011; 244(1):115-33. Reprinted with permission from John Wiley and Sons.
  • Slide 38: CAR T for myeloma: Patient #1
  • Slide 39: Autoimmunity is the “Achilles’ Heel” of immunotherapy
    • First published in June CH, Warshauer JT, and Bluestone JA. Is autoimmunity the Achilles’ heel of cancer immunotherapy? Nat Med 2017;23(5):540-7
  • Slide 41: Multiplex CRISPR /Cas9 editing: Universal T cells TCR, HLA, PD-1, CTLA-4 and Fas
    • From Ren J, Zhang X, Liu X, Fang C, Jiang S, June CH, Zhao Y. A versatile system for rapid multiplex genome-edited CAR T cell generation. Oncotarget 2017; 8:17002-17011.
  • Slide 45: CAR T-cell trials for cancer are now global
    • From June CH, O’Connor RS, Kawalekar OU, Ghassemi S, Milone MC. CAR T cell immunotherapy for human cancer. Science 2018; 359:1361-1365. Reprinted with permission from AAAS.

Disclaimer

The content and views presented in this educational activity are those of the author and do not necessarily reflect those of Hemedicus or Frontline Medical Communications. This material is prepared based upon a review of multiple sources of information, but it is not exhaustive of the subject matter. Therefore, healthcare professionals and other individuals should review and consider other publications and materials on the subject matter before relying solely upon the information contained within this educational activity.

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Promising phase 3 results for ixazomib in multiple myeloma

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Ixazomib significantly improved progression-free survival as a maintenance therapy in adults with multiple myeloma who had responded to high-dose therapy and autologous stem cell transplant.

The drug’s sponsor, Takeda, announced that the oral proteasome inhibitor had met the primary endpoint – progression-free survival versus placebo – in the randomized, phase 3 TOURMALINE-MM3 study. They also reported that adverse events were consistent with previously reported results for single-agent use of ixazomib and that there were no new safety signals.

Full study results will be presented at the annual meeting of the American Society of Hematology. Company officials plan to submit the trial data to the Food and Drug Administration and regulatory agencies around the world to gain approval of ixazomib as a single-agent maintenance therapy, according to a Takeda announcement.

The TOURMALINE-MM3 study is a double-blind study of 656 patients with multiple myeloma who have had complete response, very good partial response, or partial response to induction therapy followed by high-dose therapy and autologous stem cell transplant. In addition to progression-free survival, the trial assessed overall survival.

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Ixazomib significantly improved progression-free survival as a maintenance therapy in adults with multiple myeloma who had responded to high-dose therapy and autologous stem cell transplant.

The drug’s sponsor, Takeda, announced that the oral proteasome inhibitor had met the primary endpoint – progression-free survival versus placebo – in the randomized, phase 3 TOURMALINE-MM3 study. They also reported that adverse events were consistent with previously reported results for single-agent use of ixazomib and that there were no new safety signals.

Full study results will be presented at the annual meeting of the American Society of Hematology. Company officials plan to submit the trial data to the Food and Drug Administration and regulatory agencies around the world to gain approval of ixazomib as a single-agent maintenance therapy, according to a Takeda announcement.

The TOURMALINE-MM3 study is a double-blind study of 656 patients with multiple myeloma who have had complete response, very good partial response, or partial response to induction therapy followed by high-dose therapy and autologous stem cell transplant. In addition to progression-free survival, the trial assessed overall survival.

Ixazomib significantly improved progression-free survival as a maintenance therapy in adults with multiple myeloma who had responded to high-dose therapy and autologous stem cell transplant.

The drug’s sponsor, Takeda, announced that the oral proteasome inhibitor had met the primary endpoint – progression-free survival versus placebo – in the randomized, phase 3 TOURMALINE-MM3 study. They also reported that adverse events were consistent with previously reported results for single-agent use of ixazomib and that there were no new safety signals.

Full study results will be presented at the annual meeting of the American Society of Hematology. Company officials plan to submit the trial data to the Food and Drug Administration and regulatory agencies around the world to gain approval of ixazomib as a single-agent maintenance therapy, according to a Takeda announcement.

The TOURMALINE-MM3 study is a double-blind study of 656 patients with multiple myeloma who have had complete response, very good partial response, or partial response to induction therapy followed by high-dose therapy and autologous stem cell transplant. In addition to progression-free survival, the trial assessed overall survival.

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New approach to AE reporting needed, group says

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New approach to AE reporting needed, group says

Photo courtesy of NIH
Doctor and patient

A group of experts has called for improvements in reporting adverse events (AEs) that occur in patients with hematologic malignancies.

The group highlighted deficiencies in capturing chronic, cumulative, and late AEs; collecting patient-reported outcomes (PROs); reporting AEs associated with hematopoietic stem cell transplant (HSCT); assessing long-term toxicity in survivors; reporting AEs to regulatory agencies; and tracking AEs that occur in routine clinical practice.

The experts discussed these problems and made recommendations for fixing them in The Lancet Haematology.

“The success in outcomes and survival in many hematological malignancies is historically unparalleled and fueled by scientific discovery and implementation,” said author Gita Thanarajasingam, MD, of the Mayo Clinic in Rochester, Minnesota.

“Patients are now living with the challenge of managing not just their hematological malignancy but also managing chronic therapy for their illness, with new types of acute, chronic, cumulative, and late toxicities. Measures to address the broad facets of toxicity assessment must be prioritized and further developed to ultimately enhance accurate, comprehensive, patient-centered toxicity reporting that will meaningfully inform the care of patients with blood cancers.”

Dr Thanarajasingam and a group of clinicians, investigators, regulators, biostatisticians, and patient advocates analyzed the evidence on AEs and proposed recommendations to policy makers, researchers, industry, and regulators.

First, the group noted that chronic, delayed, and cumulative AEs may go unreported in patients with hematologic malignancies. Therefore, longitudinal methods for AE analysis are needed, and phase 1 trials should have longer periods for evaluating dose-limiting toxicity.

The experts also said PROs are often overlooked, but it should be standard to assess PROs in clinical trials of patients with hematologic malignancies.

Another of the group’s concerns is the “cumbersome” reporting of AEs associated with HSCT acting as a barrier to clinical trials. The experts recommended using registry data to develop a consensus on expected AEs after HSCT.

The group also highlighted deficiencies in the “description and management” of cumulative and late toxicities in survivors of hematologic malignancies. Potential solutions to this problem include developing infrastructure to collect data for adult survivors and standardizing the use and content of survivorship care plans.

The experts said “meaningful” AEs are often underreported to regulatory agencies, so better systems are needed for collecting and analyzing AE data, and the electronic submission of AEs should be simplified.

Finally, the group said AEs occurring in routine clinical practice are difficult to capture and analyze on a large scale. This suggests a need to optimize the systematic, objective collection of toxicity data at multiple points in real-world databases, according to the experts.

Additional details and recommendations are available in the full report.

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Photo courtesy of NIH
Doctor and patient

A group of experts has called for improvements in reporting adverse events (AEs) that occur in patients with hematologic malignancies.

The group highlighted deficiencies in capturing chronic, cumulative, and late AEs; collecting patient-reported outcomes (PROs); reporting AEs associated with hematopoietic stem cell transplant (HSCT); assessing long-term toxicity in survivors; reporting AEs to regulatory agencies; and tracking AEs that occur in routine clinical practice.

The experts discussed these problems and made recommendations for fixing them in The Lancet Haematology.

“The success in outcomes and survival in many hematological malignancies is historically unparalleled and fueled by scientific discovery and implementation,” said author Gita Thanarajasingam, MD, of the Mayo Clinic in Rochester, Minnesota.

“Patients are now living with the challenge of managing not just their hematological malignancy but also managing chronic therapy for their illness, with new types of acute, chronic, cumulative, and late toxicities. Measures to address the broad facets of toxicity assessment must be prioritized and further developed to ultimately enhance accurate, comprehensive, patient-centered toxicity reporting that will meaningfully inform the care of patients with blood cancers.”

Dr Thanarajasingam and a group of clinicians, investigators, regulators, biostatisticians, and patient advocates analyzed the evidence on AEs and proposed recommendations to policy makers, researchers, industry, and regulators.

First, the group noted that chronic, delayed, and cumulative AEs may go unreported in patients with hematologic malignancies. Therefore, longitudinal methods for AE analysis are needed, and phase 1 trials should have longer periods for evaluating dose-limiting toxicity.

The experts also said PROs are often overlooked, but it should be standard to assess PROs in clinical trials of patients with hematologic malignancies.

Another of the group’s concerns is the “cumbersome” reporting of AEs associated with HSCT acting as a barrier to clinical trials. The experts recommended using registry data to develop a consensus on expected AEs after HSCT.

The group also highlighted deficiencies in the “description and management” of cumulative and late toxicities in survivors of hematologic malignancies. Potential solutions to this problem include developing infrastructure to collect data for adult survivors and standardizing the use and content of survivorship care plans.

The experts said “meaningful” AEs are often underreported to regulatory agencies, so better systems are needed for collecting and analyzing AE data, and the electronic submission of AEs should be simplified.

Finally, the group said AEs occurring in routine clinical practice are difficult to capture and analyze on a large scale. This suggests a need to optimize the systematic, objective collection of toxicity data at multiple points in real-world databases, according to the experts.

Additional details and recommendations are available in the full report.

Photo courtesy of NIH
Doctor and patient

A group of experts has called for improvements in reporting adverse events (AEs) that occur in patients with hematologic malignancies.

The group highlighted deficiencies in capturing chronic, cumulative, and late AEs; collecting patient-reported outcomes (PROs); reporting AEs associated with hematopoietic stem cell transplant (HSCT); assessing long-term toxicity in survivors; reporting AEs to regulatory agencies; and tracking AEs that occur in routine clinical practice.

The experts discussed these problems and made recommendations for fixing them in The Lancet Haematology.

“The success in outcomes and survival in many hematological malignancies is historically unparalleled and fueled by scientific discovery and implementation,” said author Gita Thanarajasingam, MD, of the Mayo Clinic in Rochester, Minnesota.

“Patients are now living with the challenge of managing not just their hematological malignancy but also managing chronic therapy for their illness, with new types of acute, chronic, cumulative, and late toxicities. Measures to address the broad facets of toxicity assessment must be prioritized and further developed to ultimately enhance accurate, comprehensive, patient-centered toxicity reporting that will meaningfully inform the care of patients with blood cancers.”

Dr Thanarajasingam and a group of clinicians, investigators, regulators, biostatisticians, and patient advocates analyzed the evidence on AEs and proposed recommendations to policy makers, researchers, industry, and regulators.

First, the group noted that chronic, delayed, and cumulative AEs may go unreported in patients with hematologic malignancies. Therefore, longitudinal methods for AE analysis are needed, and phase 1 trials should have longer periods for evaluating dose-limiting toxicity.

The experts also said PROs are often overlooked, but it should be standard to assess PROs in clinical trials of patients with hematologic malignancies.

Another of the group’s concerns is the “cumbersome” reporting of AEs associated with HSCT acting as a barrier to clinical trials. The experts recommended using registry data to develop a consensus on expected AEs after HSCT.

The group also highlighted deficiencies in the “description and management” of cumulative and late toxicities in survivors of hematologic malignancies. Potential solutions to this problem include developing infrastructure to collect data for adult survivors and standardizing the use and content of survivorship care plans.

The experts said “meaningful” AEs are often underreported to regulatory agencies, so better systems are needed for collecting and analyzing AE data, and the electronic submission of AEs should be simplified.

Finally, the group said AEs occurring in routine clinical practice are difficult to capture and analyze on a large scale. This suggests a need to optimize the systematic, objective collection of toxicity data at multiple points in real-world databases, according to the experts.

Additional details and recommendations are available in the full report.

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New approach to AE reporting needed, group says
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Inhibitor could be repurposed for MM

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multiple myeloma
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Tofacitinib, a pan-JAK inhibitor approved to treat rheumatoid arthritis, may advance as a potential treatment for multiple myeloma (MM) based on results from preclinical studies.

In these studies, tofacitinib was able to reverse proliferative effects in stromal-responsive human MM cell lines and reduce tumor growth in mouse models of MM.

Christine Lam, of University of California, San Francisco, and her colleagues conducted this research and reported the results in haematologica.

The researchers showed that, in co-cultures of MM cell lines and bone marrow stromal cells (BMSCs), tofacitinib inhibited the growth of MM cells in a dose-dependent manner.

RNA sequencing and phosphoproteonomics revealed an upregulation of 67 transcripts in MM cell lines co-cultured with BMSCs—most related to JAK-STAT and interleukin signaling.

Additional cell culture experiments showed that tofacitinib inhibited the downstream signaling molecule STAT3, which is responsible for proliferation through the JAK/STAT pathway.

The JAK1/2 inhibitor ruxolitinib did not replicate results seen with tofacitinib.

Further experiments showed that carfilzomib did not have synergistic effects with tofacitinib.

Venetoclax did demonstrate synergy with tofacitinib but only in MM cells cocultured with BMSCs, not in MM cells alone.

The researchers also tested tofacitinib in vivo. They injected mice with an MM cell line, and, after 2 weeks, mice were treated with tofacitinib for 4 weeks.

Mice treated with tofacitinib had lower tumor burden and a significant improvement in survival compared to untreated control mice.

Finally, the researchers tested tofacitinib in bone marrow mononuclear cells from patients. After stimulation with IL-6, the cells were exposed to tofacitinib.

The researchers observed “modest” viability against malignant plasma cells. They noted that because ex vivo MM plasma cells are minimally proliferative even with added cytokines or stromal stimulations, “these results may not fully reflect the potential therapeutic efficacy of tofacitinib in MM patients, where plasma cells are constantly proliferating within the [bone marrow].”

The researchers concluded that “tofacitinib is a promising agent to reverse the tumor-proliferative effects of the [bone marrow] microenvironment that can be rapidly repurposed to benefit MM patients.”

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multiple myeloma
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Tofacitinib, a pan-JAK inhibitor approved to treat rheumatoid arthritis, may advance as a potential treatment for multiple myeloma (MM) based on results from preclinical studies.

In these studies, tofacitinib was able to reverse proliferative effects in stromal-responsive human MM cell lines and reduce tumor growth in mouse models of MM.

Christine Lam, of University of California, San Francisco, and her colleagues conducted this research and reported the results in haematologica.

The researchers showed that, in co-cultures of MM cell lines and bone marrow stromal cells (BMSCs), tofacitinib inhibited the growth of MM cells in a dose-dependent manner.

RNA sequencing and phosphoproteonomics revealed an upregulation of 67 transcripts in MM cell lines co-cultured with BMSCs—most related to JAK-STAT and interleukin signaling.

Additional cell culture experiments showed that tofacitinib inhibited the downstream signaling molecule STAT3, which is responsible for proliferation through the JAK/STAT pathway.

The JAK1/2 inhibitor ruxolitinib did not replicate results seen with tofacitinib.

Further experiments showed that carfilzomib did not have synergistic effects with tofacitinib.

Venetoclax did demonstrate synergy with tofacitinib but only in MM cells cocultured with BMSCs, not in MM cells alone.

The researchers also tested tofacitinib in vivo. They injected mice with an MM cell line, and, after 2 weeks, mice were treated with tofacitinib for 4 weeks.

Mice treated with tofacitinib had lower tumor burden and a significant improvement in survival compared to untreated control mice.

Finally, the researchers tested tofacitinib in bone marrow mononuclear cells from patients. After stimulation with IL-6, the cells were exposed to tofacitinib.

The researchers observed “modest” viability against malignant plasma cells. They noted that because ex vivo MM plasma cells are minimally proliferative even with added cytokines or stromal stimulations, “these results may not fully reflect the potential therapeutic efficacy of tofacitinib in MM patients, where plasma cells are constantly proliferating within the [bone marrow].”

The researchers concluded that “tofacitinib is a promising agent to reverse the tumor-proliferative effects of the [bone marrow] microenvironment that can be rapidly repurposed to benefit MM patients.”

multiple myeloma
Micrograph showing

Tofacitinib, a pan-JAK inhibitor approved to treat rheumatoid arthritis, may advance as a potential treatment for multiple myeloma (MM) based on results from preclinical studies.

In these studies, tofacitinib was able to reverse proliferative effects in stromal-responsive human MM cell lines and reduce tumor growth in mouse models of MM.

Christine Lam, of University of California, San Francisco, and her colleagues conducted this research and reported the results in haematologica.

The researchers showed that, in co-cultures of MM cell lines and bone marrow stromal cells (BMSCs), tofacitinib inhibited the growth of MM cells in a dose-dependent manner.

RNA sequencing and phosphoproteonomics revealed an upregulation of 67 transcripts in MM cell lines co-cultured with BMSCs—most related to JAK-STAT and interleukin signaling.

Additional cell culture experiments showed that tofacitinib inhibited the downstream signaling molecule STAT3, which is responsible for proliferation through the JAK/STAT pathway.

The JAK1/2 inhibitor ruxolitinib did not replicate results seen with tofacitinib.

Further experiments showed that carfilzomib did not have synergistic effects with tofacitinib.

Venetoclax did demonstrate synergy with tofacitinib but only in MM cells cocultured with BMSCs, not in MM cells alone.

The researchers also tested tofacitinib in vivo. They injected mice with an MM cell line, and, after 2 weeks, mice were treated with tofacitinib for 4 weeks.

Mice treated with tofacitinib had lower tumor burden and a significant improvement in survival compared to untreated control mice.

Finally, the researchers tested tofacitinib in bone marrow mononuclear cells from patients. After stimulation with IL-6, the cells were exposed to tofacitinib.

The researchers observed “modest” viability against malignant plasma cells. They noted that because ex vivo MM plasma cells are minimally proliferative even with added cytokines or stromal stimulations, “these results may not fully reflect the potential therapeutic efficacy of tofacitinib in MM patients, where plasma cells are constantly proliferating within the [bone marrow].”

The researchers concluded that “tofacitinib is a promising agent to reverse the tumor-proliferative effects of the [bone marrow] microenvironment that can be rapidly repurposed to benefit MM patients.”

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