Patient Characteristics, Treatment Patterns and Outcomes Among Black and White Patients with Multiple Myeloma Initiating Daratumumab: A Real-World Chart Review Study

Abstract Background and Objective: Daratumumab, a CD38 monoclonal antibody, was approved for the treatment of multiple myeloma (MM) among previously treated patients in 2015, and among newly diagnosed patients in 2018. While the safety and efficacy of daratumumab has been well documented in clinical trials, there is limited real world information on the use and outcomes of daratumumab in patients of different races. This is of particular relevance for potential health care disparities, as evidence suggests that African American patients with MM receive new therapies later in their disease and may experience different outcomes than White patients (Blood Adv. 2019;3:2986-94, Cancer Med. 2017;6: 2876-85). Therefore, we sought to describe patient characteristics, treatment patterns and outcomes of patients with MM who received daratumumab. Results were stratified by race (i.e., Black vs. White). Methods: We conducted a retrospective chart review of patients with MM initiating daratumumab between 1/2018 and 5/2020. De-identified data were retrieved from two U.S. clinical sites, Levine Cancer Institute (Atrium Health) and Weill Cornell Medicine. Patients were included if they had a confirmed diagnosis of MM and were at least 18 years old at the time of daratumumab initiation (index date). Patients who accessed daratumumab through interventional clinical trials were excluded. Patients were followed from the index date until death, loss to follow-up, or date of chart abstraction, whichever occurred first. Patient characteristics included age, sex, body mass index, MM stage at diagnosis, cytogenetic profile as of the index date, and number of prior regimens. Treatment patterns included type and duration of daratumumab-based regimen. Treatment outcomes included treatment response (as per physician notes and guided by the International Myeloma Working Group consensus criteria) and time to next line of therapy (TTNT; the time between the index date and the initiation of the following line of therapy, censoring at the end of follow-up). All analyses were descriptive and stratified by race. Results: A total of 252 patient charts were extracted: 89 Black (35.3%) and 163 White (64.7%). Black patients were, on average, younger at diagnosis (61.7 years old vs. 67.0) and at the index date (Table 1). The proportion of females was similar across both races (Black: 44.9%, White: 46.6%), and mean body mass index was slightly higher in Black patients (28.7 vs. 26.8). Black patients had longer time between initial MM diagnosis and initiation of daratumumab (43.2 vs. 34.1 months). MM stage at diagnosis, cytogenetic profile at index, and prior regimens were similar between White and Black patients (Table 1). While unknown cytogenetics were most common for both White (45.4%) and Black (59.6%) patients, White patients (20.2%) were twice as likely as Blacks (9.0%) to have high-risk cytogenetics. Black patients received more lines of treatment prior to the initiation of daratumumab (mean 2.9 vs. 2.3), with 55.1% of Black patients receiving 3 or more prior lines. The most common regimen was daratumumab with pomalidomide and dexamethasone (DPd) for both races (Table 1), with use of DPd being particularly common (51.7%) in Black patients. Duration of treatment with daratumumab was similar across races (Table 1). Treatment response was similar across races: among patients initiating daratumumab in first, second and third line or after, respectively, overall response rate was 100.0%, 90.9% and 67.6% for Black patients and 100.0%, 82.9% and 65.4% for White patients. Among patients initiating daratumumab in third line or after, median TTNT was 12.3 months among Black patients and 10.4 months among White patients. Conclusions: Black and White patients had similar overall response rate and comparable TTNT. However, Black patients initiated daratumumab later in their treatment, with more than half of Black patients initiating daratumumab in fourth or later line of therapy, and a lower percentage of Black patients had high-risk cytogenetics, suggesting a potential discrepancy in access to new therapies for MM. These findings were observed in a relatively modest sample size, and therefore interpretation warrants caution. Future studies should investigate whether such a discrepancy in treatment access exists, potential reasons for this discrepancy, and strategies to mitigate the effect of race on access to new therapies in MM. Figure 1 Figure 1. Disclosures Atrash: GSK: Research Funding; AMGEN: Research Funding; Jansen: Research Funding, Speakers Bureau. Thompson-Leduc: Biogen: Consultancy; Novartis: Consultancy; Shire/Takeda: Consultancy; Regeneron: Consultancy; Janssen Scientific Affairs, LLC: Consultancy; BioMerieux: Consultancy; Merck: Consultancy; GlaxoSmithKline: Consultancy; BioFire Diagnostics: Consultancy. Tai: Janssen Scientific Affairs, LLC: Current Employment. Kaila: Janssen Scientific Affairs, LLC: Current Employment. Gray: Janssen Scientific Affairs, LLC: Current Employment, Current holder of individual stocks in a privately-held company. Ghelerter: Janssen Scientific Affairs, LLC: Consultancy; GlaxoSmithKline: Consultancy; Regeneron: Consultancy; Novartis: Consultancy. Lafeuille: Pharmacyclics: Consultancy; Pfizer: Consultancy; Janssen Scientific Affairs, LLC: Consultancy; GlaxoSmithKline: Consultancy. Lefebvre: Regeneron: Consultancy; Novartis: Consultancy; Otsuka: Consultancy; Pfizer: Consultancy; Pharmacyclics: Consultancy; Janssen Scientific Affairs, LLC: Consultancy; GlaxoSmithKline: Consultancy. Rossi: Janssen Scientific Affairs, LLC: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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The Characteristics, Treatment Patterns, and Outcomes of Older Adults with Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-118660 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4463-4463

Author(s):

Mark A. Fiala ◽

Tanya M. Wildes ◽

Mark A. Schroeder ◽

Armin Ghobadi ◽

Keith E. Stockerl-Goldstein ◽

...

Keyword(s):

Older Adults ◽

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Performance Status ◽

Patient Characteristics ◽

Treatment Patterns ◽

Advisory Committees ◽

Improved Outcomes ◽

Immunomodulatory Drug

Abstract Background: Advances in the treatment for multiple myeloma (MM) have dramatically improved outcomes for younger patients. Older adults, particularly those 80 years of age or older at diagnosis, have seen more modest gains. MM incidence increases with age, and as more of the population is living later into life, the segment of the MM population over 80 will continue to grow. In this study, we sought to better understand the characteristics, treatment, and outcomes of older patients with MM. Methods: We identified all patients diagnosed with MM at age 80 or older in the Surveillance, Epidemiology, and End Results Program (SEER) database from 2007-2013 to determine incidence and outcomes. Subset analysis was then performed on patients included in the SEER-Medicare linked database who were enrolled in Medicare Parts A, B, and D to further explore patient characteristics and treatment patterns. Results: The incidence of MM increases over age, peaking after age 80. The annual incidence for those aged 65-69, 70-74, 75-79, 80-84 and 85+ was 24.4, 32.7, 39.5, 42.8 and 36.4 per 100,000, respectively. Based on 2010 US population estimates, approximately 4,500 new cases of MM were diagnosed annually 2007-2013 in patients age 80 or older. In that period, 8,093 cases, approximately 1,150 per year, were reported to SEER. The estimated median overall survival (OS) of these patients was 14 months (95% CI 13.2-14.8). The estimated relative 12 month survival was 58.9% (95% CI 57.4-60.4) compared to their peers without cancer. Of the 8,093 cases of MM reported to SEER during the study period, 2,385 were present in the SEER-Medicare linked dataset. Of these, 225 were identified as smoldering MM using a previously established algorithm (Fiala, et al, JCOCCI, 2018) and excluded leaving 2,160 for the analyses. The median age was 84 (range 80-100) and 55% were female. 81% were white, 13% black or African-American, and 6% another race. At disease presentation, 22% had claims indicating hypercalcemia, 61% renal failure or chronic kidney disease, 59% anemia, and 34% MM bone involvement. The estimated median OS was 13.4 months (95% CI 12.2-15.1). Only 52% of patients had claims indicating they received systemic MM treatment within 6 months post-diagnosis. Nearly all that did received novel agents; 38% received bortezomib-based treatment, 41% immunomodulatory drug (IMID)-based, and 14% both. The others received antineoplastic chemotherapies such as melphalan or cyclophosphamide. Interestingly, bortezomib utilization increased incrementally from 25% of patients treated in 2007 to 62% in 2013 while IMID utilization declined from 67% to 49%. The median OS of those receiving treatment was 21 months (95% CI 18.5-23.1) compared to 6.3 months (95% CI 5.3-7.3) for those who did not (p <0.0001). MM treatment was associated with a 26% decrease in hazard for death (aHR 0.74; 95% CI 0.67-0.82; p < 0.0001) independent of age, race, gender, poverty, comorbidities, and proxy measures of performance status. Outcomes improved for patients in more recent years; the hazard for death decreased by 3% (HR 0.97; 95% CI 0.94-0.99; p = 0.0096) each year 2007-2013. This can be attributed to increasing treatment rates. In 2007, only 41% of patients received treatment compared to 61% in 2013. After controlling for MM treatment, the year of diagnosis was no longer a significant predictor of survival. Conclusions: The outcomes of patients with MM over 80 years old are still relatively poor; nearly half of the patients do not receive systemic treatment and for those who do the median OS is just 21 months. The population over 80, when MM incidence peaks, is projected to triple over the next few decades. It is imperative that we improve our understanding of the needs of this vulnerable subgroup of patients of MM. Disclosures Schroeder: Amgen Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees. Vij:Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jansson: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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Racial and Age-Related Differences in Impacts of High-Risk Cytogenetic Abnormalities on Survival in Multiple Myeloma in a Nationwide Electronic Health Record-Derived Database

Blood ◽

10.1182/blood-2021-152774 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 4121-4121

Author(s):

Gregory S Calip ◽

Mustafa S Ascha ◽

Xiaoliang Wang ◽

Amy E Pierre ◽

Kathleen Maignan ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Publicly Traded ◽

Advisory Committees ◽

Cytogenetic Abnormalities ◽

Age Related ◽

Black Patients ◽

Double Hit ◽

White Patients

Abstract Background: The incidence of multiple myeloma (MM) and enrichment of cytogenetic abnormalities differ significantly between racial/ethnic groups in the US, and their significance in determining myeloma progression and survival is not well understood. Whole genome sequencing has identified unique mutational signatures in MM, including an age-related process common in hyperdiploid myeloma. Our purpose was to describe racial and age-related differences in the impact of high-risk cytogenetic abnormalities (HRCAs) on survival in MM. Methods: We conducted a retrospective cohort study of adult MM patients starting first-line therapy between January 2011 and May 2021 using the nationwide Flatiron Health electronic health record-derived de-identified database. Patient-level demographic and clinical characteristics were ascertained using structured and unstructured data, curated via technology-enabled abstraction. Patients who had documented fluorescence in situ hybridization testing within 30 days prior to or 90 days following the start of first-line treatment were included. HRCAs, including gain or amplification 1q21, deletion 17p, t(4;14), t(14;16) and t(14;20), were identified and categorized as 0, 1, or 2+ HRCAs. Our outcomes of interest were real world progression free survival (rwPFS) and overall survival (rwOS). Cox proportional hazards models were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI), adjusted for demographic and clinical characteristics and treatment including time-dependent receipt of autologous stem cell transplantation. Results: From a cohort of 4889 MM patients, there were 790 (16%) Black and 2995 (61%) White patients with median ages at diagnosis of 68 and 70 years, respectively. Compared to White patients, a higher proportion of Black patients had IgG M-protein (61% vs 55%) and a lower proportion had 1+ HRCAs identified (31% vs 34%). Among all racial groups, compared to patients aged <65 years (N=1771), a higher proportion of patients aged 65+ years (N=3118) had IgA M-protein (21% vs 17%) and 1+ HRCAs identified (35% vs 33%). Multivariable models showed evidence of significant statistical interaction between age and prevalence of HRCA for rwPFS (P-int: 0.02). Among White patients, having 2+ HRCAs ("double-hit MM") compared to no HRCAs was associated with worse rwPFS in both younger and older patients (<65 years: HR 2.88, 95% CI 1.93-4.32, P<0.01; 65+ years: HR 1.51, 95% CI 1.18-1.94, P<0.01). Among Black patients, associations between double-hit MM and rwPFS were attenuated and not statistically significant regardless of age (<65 years: HR 1.81, 95% CI 0.69-4.74, P=0.23; 65+ years: HR 1.61, 95% CI 0.92-2.81, P=0.09). Similarly, we also found evidence of statistical interaction between age and prevalence of HRCA for rwOS (P-int: 0.02). Among White patients, double-hit MM was significantly associated with worse rwOS but the magnitude of increased risk differed for younger (HR 3.39, 95% CI 2.24-5.14, P<0.01) and older (HR 1.61, 95% CI 1.27-2.05, P<0.01) patients. Double-hit MM was significantly associated with worse rwOS among older Black patients (HR 1.78, 95% CI 1.03-3.06, P=0.04), but not younger Black patients (HR 1.60, 95% CI 0.58-4.40, P=0.36). Conclusions: In this cohort of newly diagnosed MM patients treated in routine practice, having double-hit MM was differentially predictive of poor survival across age groups. Double-hit MM was associated with worse rwPFS and rwOS among White patients, but these trends were less consistent among Black patients. Our current understanding of cytogenetic risk stratification of MM requires further study and additional data for identifying low- and high-risk subsets of patients across different ages and racial groups. Figure. Kaplan-Meier survivor functions for rwPFS in White (Panel A) and Black (Panel B) patients by age group and number of HRCAs Figure 1 Figure 1. Disclosures Calip: Flatiron Health: Current Employment; Roche: Current equity holder in publicly-traded company; Pfizer: Research Funding. Ascha: Flatiron Health: Current Employment; Roche: Current equity holder in publicly-traded company. Wang: Roche: Current equity holder in publicly-traded company; Flatiron Health: Current Employment. Pierre: Flatiron Health, Inc: Current Employment; Roche: Current holder of stock options in a privately-held company. Maignan: Flatiron Health: Current Employment; Roche: Current equity holder in publicly-traded company. Wadé: Roche: Current equity holder in publicly-traded company; Flatiron Health: Current Employment. Leng: Roche: Current equity holder in publicly-traded company; Flatiron Health: Current Employment. Seymour: Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Current equity holder in publicly-traded company; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Flatiron Health Inc: Current Employment. Patel: Janssen: Consultancy; Amgen: Consultancy; Celgene: Consultancy. Neparidze: Eidos Therapeutics: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Research Funding; Janssen: Research Funding.

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Real-World Treatment Patterns and Transfusion Burden Among US Patients with Newly Diagnosed Myelodysplastic Syndromes (MDS)

Blood ◽

10.1182/blood-2019-123425 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3499-3499

Author(s):

Sudipto Mukherjee ◽

S. Lane Slabaugh ◽

Ronda Copher ◽

Jonathan Johnson ◽

Paul Buzinec ◽

...

Keyword(s):

Board Of Directors ◽

Treatment Duration ◽

Research Funding ◽

Index Date ◽

Treatment Patterns ◽

Newly Diagnosed ◽

Advisory Committees ◽

Median Treatment ◽

Medical Claims ◽

Median Treatment Duration

Introduction: Symptomatic anemia transfusion support represents a significant problem for patients with MDS. The principal strategy in managing these patients remains supportive care with erythropoiesis-stimulating agents (ESAs) and red blood cell (RBC) transfusions. However, there is paucity of real-world data regarding patterns of use of ESA and other therapies, and its impact on transfusion needs in these patients early in their clinical course. To address this question, we performed a retrospective claims-based study to characterize treatment patterns and transfusion burden in patients with MDS. Methods: In this retrospective claims analysis of a large national health insurance plan, all patients aged ≥ 18 years with newly diagnosed MDS (≥ 2 medical claims with an International Classification of Diseases, 9th or 10th Revision [ICD-9 or ICD-10] diagnosis codes ≥ 30 days apart) identified between January 2012 and May 2018 were included. Index date was defined as date of first diagnosis. Continuous health plan enrollment for ≥ 6 months pre- and 3 months post-index date was required. RBC transfusion status was evaluated during the 16 weeks prior to first diagnosis as well as 16 weeks prior to and immediately following line of therapy (LOT) 1 and LOT2. Transfusion burden categories were adapted and modified from the proposed International Working Group 2018 revised criteria (Platzbecker U, et al., Blood. 2019;133(10):1096-1107). Categories included transfusion independence (TI), defined as patients receiving no transfusions during the observation period; low (LTB), moderate (MTB), and high transfusion burden (HTB) were defined by patient's having 1-3, 4-7, and ≥ 8 unique dates for a transfusion during the observation periods, respectively. Therapies in each LOT were captured using pharmacy and medical claims data. The end of a LOT was defined after ≥ 60-day gap in therapy, a claim for any new or additional MDS therapy, or patient death; LOT durations are described for non-censored patients. Results: Among the 3,587 patients identified (mean age = 74.9 years, 44.3% female), transfusion burden during 16 weeks prior to index was: 78.8% TI, 19.2% LTB, 1.9% MTB, and 0.2% HTB. Among the 1,935 patients who received LOT1, transfusion burden in the 16 weeks preceding LOT1 was: 57.0% TI, 36.3% LTB, 5.6% MTB, and 1.1% HTB. The top 5 regimens in LOT1 were ESA monotherapy (61.9%), hypomethylating agent (HMA) monotherapy (19.2%), white blood cell growth factor (WBCGF) monotherapy (3.5%), immunomodulators (3.3%), and HMA + ESA (2.7%) (Figure). Of 824 patients who received LOT2, transfusion burden prior to LOT2 was: 49.4% TI, 28.6% LTB, 16.5% MTB, and 5.5% HTB. The top 5 regimens in LOT2 were ESA monotherapy (44.2%), HMA monotherapy (12.1%), HMA + ESA (9.2%), WBCGF + ESA (6.9%), and WBCGF monotherapy (6.4%) (Figure). In LOT1, the median treatment duration for ESA monotherapy was 2.8 months (mean = 5.2 months, standard deviation [SD] = 6.8) whereas in LOT2, the median treatment duration was 2.0 months (mean = 3.7 months, SD = 5.0). Amongst patients receiving ESA monotherapy as LOT2, 90.4% had prior ESA monotherapy as LOT1. In patients treated with HMA monotherapy in LOT1 that also experienced a LOT2, 39.1% moved on to a variety of LOT2 regimens (Table), while in 15.5% ESAs were combined with HMA (Table). Conclusions: Our results show that at the time of diagnosis, 20% of MDS patients were transfusion dependent, but up to 50% require treatment. The high rate of ESA use is likely due to anemia-related symptoms. In those treated with ESA monotherapy, approximately 50% have a LOT1 duration that is < 3 months, and interestingly, the majority of patients restart a second LOT with an ESA as the most common regimen. Additional analyses are necessary to determine whether this indicates a switch in ESA agent, escalation in dose of prior ESA, treatment cycling due to elevated hemoglobin, or other reasons. Considering the short median treatment duration and worsening of transfusion dependency beyond first line, there remains a high unmet need for MDS therapy that more effectively slows the progression of transfusion dependence. Disclosures Mukherjee: Bristol-Myers Squibb: Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Projects in Knowledge: Honoraria; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Partnership for Health Analytic Research, LLC (PHAR, LLC): Consultancy; McGraw Hill Hematology Oncology Board Review: Other: Editor. Slabaugh:Celgene Corporation: Employment, Equity Ownership. Copher:Celgene Corporation: Employment. Johnson:Optum: Employment; Celgene Corporation: Consultancy. Buzinec:Optum: Employment. Mearns:Celgene Corporation: Employment.

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Racial and Ethnic Differences in Clonal Hematopoiesis, Tumor Markers, and Clinical Outcomes of Patients with Multiple Myeloma

Blood ◽

10.1182/blood-2021-147340 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 402-402

Author(s):

Nancy Gillis ◽

Lauren C Peres ◽

Christelle M Colin-Leitzinger ◽

Mingxiang Teng ◽

Raghunandan Reddy Alugubelli ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Multivariable Analysis ◽

Age At Diagnosis ◽

Advisory Committees ◽

Black Patients ◽

Significant Difference ◽

Hispanic Patients ◽

Race Ethnicity ◽

White Patients

Abstract Background: Multiple myeloma (MM) is twice as common in Blacks compared to Non-Hispanic (NH) Whites and Hispanics. While treatment and mortality differences have been reported for Black patients with MM compared to NH White patients, there is limited data on Hispanic populations. Furthermore, the factors driving observed differences in MM presentation and treatment responses by race and ethnicity are largely unknown. We investigated demographic, clinical, and molecular features, including tumor mutations and clonal hematopoiesis (CH), in a diverse population of patients with MM to elucidate mechanisms driving clinical disparities. Methods: Patients diagnosed with MM who consented to our institutional biorepository protocol were eligible for inclusion. Demographic and clinical data were obtained from cancer registry and abstracted from electronic medical records. MM tumor cells were purified from bone marrow aspirates by CD138 affinity chromatography. DNA was isolated from tumor cells and whole blood for each patient, and whole exome sequencing (WES) data was generated. Tumor somatic mutations were characterized using paired tumor-normal (blood) WES. CH was classified based on blood-derived somatic mutations, using paired tumors and reference populations as germline comparators. Outcomes included overall survival (OS; date of diagnosis to death/last contact) and progression-free survival (PFS; 1 st-line treatment start to 1 st disease progression/death). Results: A diverse group of MM patients (n=496) were included: NH White (80%), NH Black (10%) and Hispanic (9%). NH Black and Hispanic MM patients had a younger median age at diagnosis (57 and 53 yrs, respectively) compared to NH Whites (63 yrs, p = 0.0001; Fig A). There was no statistical difference in treatment categories received by race/ethnicity. NH Black patients had a longer time to hematopoietic cell transplant (HCT; 376 days) than NH White or Hispanic patients (248 and 270 days, respectively, p = 0.011). There was an improvement in OS for NH Black (HR 0.49, 95% CI 0.30-0.81) and Hispanic (HR 0.66, 95% CI 0.37-1.18) patients compared to NH White patients, but the association was not statistically significant in Hispanics. In univariable analysis, OS was also associated with age at diagnosis, International Staging System (ISS), treatment with HCT, and treatment regimen category. In multivariable analysis, after adjusting for age, ISS, HCT, and treatment category there was no longer a statistically significant association between OS and race/ethnicity. Although a worse PFS was present among Hispanic patients (adjusted HR 1.45, 95% CI 0.99-2.13), there was no statistically significant difference in PFS by race/ethnicity. The most mutated genes in MM tumors were KRAS (24%), NRAS (17%), TP53 (11%), DIS3 (9%), and BRAF (9%) (Fig B). Genes with significantly higher tumor mutation rates in Black compared to NH White patients were SP140 (12% v 4%, p = 0.026), AUTS2 (8% v 2%, p = 0.04), and SETD2 (6% v 1%, p = 0.037). IRF4 was most commonly mutated in Hispanics (11% v 3% in NH White and 0% in Black, p = 0.019). We identified CH using WES in 60 (12%) patients. The most CH mutations were in ASXL1, DNMT3A, and TET2. There was no difference in the prevalence of CH by race/ethnicity (p=0.8). There was a statistically significant difference in OS by race/ethnicity and CH status (Fig C). For NH Black patients, CH (HR 4.36, 95% CI 1.36-14.0) and age at diagnosis (HR 1.08, 95% CI 1.03-1.14) were associated with inferior OS (Fig C). After adjusting for age in multivariable analysis, the positive association with CH status among Black patients was no longer statistically significant (HR 2.72, 95% CI 0.48-15.4). A positive, but not statistically significant, association for PFS in NH White patients with CH was also noted (adjusted HR 1.38, 95% CI 0.95-2.0). Conclusions: This is the first study to examine differences in tumor mutation profiles, CH, and treatment among different racial and ethnic groups of patients diagnosed with MM. Our data suggest that age at diagnosis, tumor mutations, and CH may all contribute to clinical disparities observed in patients with MM. Efforts to expand our cohort and incorporate additional molecular biomarkers, epidemiologic characteristics, and clinical parameters are ongoing with the ultimate goal of elucidating targetable biological mechanisms to personalize management and optimize outcomes for diverse patients diagnosed with MM. Figure 1 Figure 1. Disclosures Hampton: M2Gen: Current Employment. Blue: WebMD: Consultancy; Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Siqueira Silva: AbbVie Inc.: Research Funding; Karyopharm Therapeutics Inc.: Research Funding. Baz: GlaxoSmithKline: Consultancy, Honoraria; BMS, sanofi, Karyopharm, Janssen, AbbVie: Consultancy, Research Funding; Oncopeptides: Consultancy; Merck: Research Funding. Nishihori: Novartis: Research Funding; Karyopharm: Research Funding. Shain: Janssen oncology: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Karyopharm Therapeutics Inc.: Honoraria, Research Funding; Sanofi Genzyme: Consultancy, Speakers Bureau; Novartis Pharmaceuticals Corporation: Consultancy; GlaxoSmithLine, LLC: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Adaptive Biotechnologies Corporation: Consultancy, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding.

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Treatment Patterns and Outcomes in Patients with Relapsed/Refractory Follicular Lymphoma Who Received Third Line Therapy at the Christie NHS Foundation Trust in the UK

Blood ◽

10.1182/blood-2021-148490 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 5011-5011

Author(s):

Kim Linton ◽

Cristina Julian ◽

Adam Gibb ◽

Ellie White ◽

Emma-Frances Armstrong ◽

...

Keyword(s):

Follicular Lymphoma ◽

Board Of Directors ◽

Research Funding ◽

Index Date ◽

Treatment Patterns ◽

Advisory Committees ◽

Time Period ◽

Third Line ◽

Privately Held

Abstract Background: There are limited data on real-world treatment patterns and outcomes for follicular lymphoma (FL) in the relapsed/refractory (r/r) setting, with shorter response durations reported after each relapse (Link et al, 2019; Rivas-Delgado et al, 2019 and Batlevi et al, 2020). We examined treatment patterns for patients with FL initiating third line (3L) therapy at a single institution by time period in the post-rituximab era (2004-2010 and 2011-2020), and clinical outcomes for the overall cohort receiving therapy between 2004 and 2020. Methods: This is a retrospective, observational study of patients with FL who initiated 3L therapy between 2004 and 2020 in routine clinical practice at The Christie NHS Foundation Trust, UK. We selected patients aged ≥18 years at 3L initiation, with histologically documented FL Grade 1−3a treated with two prior lines of systemic therapy including an anti-CD20 monoclonal antibody and an alkylating agent, and at least one year of follow-up after initiating 3L therapy; follow-up ended June 2021. We excluded patients with grade 3b FL or transformation to high grade lymphoma any time before 3L treatment. Overall response rate (ORR) and complete response (CR) to 3L therapy was calculated, and overall survival (OS), progression free survival (PFS) and time to next treatment (TTNT) were estimated using the Kaplan-Meier (KM) method with 3L therapy initiation date as the index date. Results: Overall, 41 patients met all eligibility criteria; 11 and 30 patients received 3L therapy between 2004-2010 and 2011-2020, respectively. Median age at index date was 59 years and 53.7% were male; 73.2% had grade 1 or 2 FL; 78.1% had advanced stage (III/IV) FL at diagnosis. Median follow-up was 33.9 (IQR: 14.5, 63.0) months, and median time from diagnosis to 3L treatment was 60.2 (IQR: 29.4, 89.1) months. The most common regimen in 3L was rituximab plus bendamustine (R-benda) followed by rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) and rituximab used as a single agent (R-mono). Treatment patterns differed by time period (Table 1). R-benda was more commonly used between 2011 and 2020. The most common sequence was rituximab plus cyclophosphamide, vincristine and prednisone (R-CVP) followed by R-CHOP and R-benda (Figure 1). ORR to 3L treatment was 61.0%, CR 29.3%. Median OS, PFS and TTNT with 95% confidence interval (CI) were 70.0 (30.2-NR), 19.2 (9.5-34.7) and 11.8 (9.0-27.6) months after 3L initiation, respectively. Two- and five-year OS rates were 79% and 50%, and two-year PFS rate was 37%. Conclusions: Patients with r/r FL treated in the routine 3L setting have highly variable treatment patterns and unfavorable outcomes, representing a continued unmet medical need. This study is limited by its small size and evolving treatments, warranting a larger study of more recently treated 3L patients to evaluate the impact of modern treatment pathways and novel therapies on clinical outcomes for r/r FL. Figure 1 Figure 1. Disclosures Linton: University of Manchester: Current Employment; BeiGene: Research Funding; Hartley Taylor: Honoraria; Genmab: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Aptitude Health: Honoraria; Celgene: Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Julian: Genentech, Inc.: Current Employment, Current holder of stock options in a privately-held company. Gibb: The Christie NHS Foundation Trust: Current Employment; Takeda: Honoraria, Research Funding, Speakers Bureau. Li: Genesis Research: Current Employment. Liu: Genesis Research: Current Employment. Shewade: Genentech, Inc.: Current Employment; F. Hoffmann-La Roche Ltd: Current equity holder in publicly-traded company. Radford: BMS: Honoraria; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; ADC Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Honoraria, Speakers Bureau; AstraZeneca: Current holder of individual stocks in a privately-held company.

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Racial Disparities in Telemedicine Uptake during the COVID-19 Pandemic Among Patients with Hematologic Malignancies in the United States

Blood ◽

10.1182/blood-2021-153787 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1973-1973

Author(s):

Natalia Neparidze ◽

Krystal W. Lau ◽

Xiaoliang Wang ◽

Amy J. Davidoff ◽

Scott F. Huntington ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Publicly Traded ◽

Advisory Committees ◽

Visit Rate ◽

Black Patients ◽

Monthly Visit ◽

All Diseases ◽

Privately Held ◽

White Patients

Abstract Background/objectives: The COVID-19 pandemic impacted healthcare visit trends, propelling healthcare systems to reduce in-person visits and hospital admissions and increasingly rely on telemedicine; whether there are differences in these trends across racial groups is unknown. This study investigated potential racial disparities in visits during the pandemic for patients with documented active treatment for hematologic malignancies. Methods: We used the nationwide Flatiron Health electronic health record (EHR)-derived de-identified database to select patients with confirmed diagnosis of AML, DLBCL, FL, MCL, CLL or MM, at least 18 years old at initial diagnosis, and documented race in the EHR as Black/African American or White were included. Patients were categorized into treatment types within lines of therapy: Orals (orals + outpatient infusions with orals) vs. Inpatient treatments (chemotherapy, hematopoietic transplants & CAR-T cell therapy). Monthly visit rates were calculated as the number of visits (telemedicine or in-person [in-clinic treatment administration, vitals, and/or labs]) per active patient per 30-day standardized month, except for months in which the patient was considered not active (e.g. no documented therapy, surveillance). We used time-series forecasting methods on pre-pandemic monthly visit rate data (March 2016 - February 2020) to estimate projected counterfactual monthly visit rates (expected rates if the pandemic did not occur) between March 2020 - February 2021 for all diseases combined, for each disease, each treatment type, and each race. Differences between projected and actual monthly visit rates during the pandemic period were considered significant and related due to the pandemic if the actual visit rate was outside of the 95% prediction interval (PI) surrounding the projected estimate. We used cross-correlation analysis to test for significant differences in visit rates between Black and White patients. Results: The analysis included 17,621 patients (2,225 Black, 15,396 White): 3,041 AML, 2,715 DLBCL, 1,558 FL, 1,511 MCL, 3,813 CLL and 5,244 MM (1,166 Black, 4078 White). Across all diseases and treatment categories, Black patients had no significant reductions in in-person visit rates throughout the pandemic period compared to the projected rates. There was, however, an 18% statistically significant reduction (95% PI 9.9% - 25%) in in-person visit rates for White patients on orals during early pandemic months (March - May 2020) from a projected visit rate of 2.0 (95% PI 1.8 - 2.2) visits per patient per month to an actual visit rate of 1.61. There was no significant reduction in in-person visit rates for White patients on inpatient treatments. Telemedicine uptake was significantly higher for White patients compared with Black patients for all diseases combined across all treatment categories (Figure A & B) (t = 9.5, p < 0.01), AML inpatient treatments (t = 2.4, p = 0.04), MM orals (Figure C) (t = 6.0, p < 0.01) and MM inpatient treatments (Figure D) (t = 2.3, p = 0.04). Conclusions: A tradeoff in reductions in in-person visits and uptake of telemedicine use was observed overall. White patients had significantly higher telemedicine uptake compared with Black patients for both oral and inpatient treatments. In-person visit rates for Black patients were unchanged regardless of treatment category. These in-person visit rates reflect documented telemedicine use disparities, which requires further study into possible compound causes, including economic and societal factors. Figure. Trends over time in telemedicine visit rates for White patients (blue line) and Black patients (black line) Figure 1 Figure 1. Disclosures Neparidze: Eidos Therapeutics: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Research Funding; Janssen: Research Funding. Lau: Flatiron Health Inc: Current Employment; Roche: Current equity holder in publicly-traded company. Wang: Flatiron Health: Current Employment; Roche: Current equity holder in publicly-traded company. Davidoff: Amgen: Consultancy; AbbVie: Other: Family member consultancy. Huntington: Bayer: Honoraria; Servier: Consultancy; Pharmacyclics: Consultancy, Honoraria; Thyme Inc: Consultancy; Genentech: Consultancy; AbbVie: Consultancy; SeaGen: Consultancy; Celgene: Consultancy, Research Funding; Flatiron Health Inc.: Consultancy; DTRM Biopharm: Research Funding; TG Therapeutics: Research Funding; AstraZeneca: Consultancy, Honoraria; Novartis: Consultancy. Calip: Flatiron Health Inc: Current Employment; Roche: Current equity holder in publicly-traded company; Pfizer: Research Funding. Shah: AstraZeneca: Research Funding; Seattle Genetics: Research Funding; Epizyme: Research Funding. Stephens: Adaptive: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Abbvie: Consultancy; CSL Behring: Consultancy; Novartis: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; JUNO: Research Funding; Mingsight: Research Funding; AstraZeneca: Consultancy; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Epizyme: Membership on an entity's Board of Directors or advisory committees; Arqule: Research Funding. Miksad: Flatiron Health Inc: Current Employment, Current holder of individual stocks in a privately-held company; Roche: Current equity holder in publicly-traded company. Parikh: Onc.AI: Current holder of individual stocks in a privately-held company; Humana: Honoraria, Research Funding; Flatiron Health Inc: Honoraria; Thyme Care: Honoraria; Nanology: Honoraria; GNS Healthcare: Current holder of individual stocks in a privately-held company. Takvorian: Genentech: Consultancy; Pfizer: Research Funding. Seymour: Janssen: Membership on an entity's Board of Directors or advisory committees; Roche: Current equity holder in publicly-traded company; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Flatiron Health Inc: Current Employment; Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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A Retrospective Observational Real-World Study of the Characteristics, Genomic Analysis, Treatment Patterns and Outcomes of Patients (Pts) with Newly Diagnosed (ND) Acute Myeloid Leukemia (AML) in the United States

Blood ◽

10.1182/blood-2021-153926 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 3383-3383

Author(s):

John C. Byrd ◽

Jennifer L Gatz ◽

Larry D. Cripe ◽

, Cynthia Lim Louis ◽

Alice S. Mims ◽

...

Keyword(s):

Targeted Therapy ◽

Health System ◽

Board Of Directors ◽

Research Funding ◽

Index Date ◽

Genomic Analysis ◽

Treatment Patterns ◽

Advisory Committees ◽

Entire Cohort ◽

Probability Of Survival

Abstract Introduction: Studies have found that AML pts treated at high pt volume, academic or NCI-designated cancer centers have improved outcomes compared to pts treated at smaller community hospitals. But little is known about the treatment patterns and outcomes as related to a combined academic and community based health system. Therefore, in a real-world cohort that included both academic and community hospitals that collaborate with one another, we evaluated pt characteristics, frequency of genomic testing, frequency of chemotherapy treatment (Tx) or any targeted therapy as a function of age, and outcomes in ND AML pts. Methods: This was a retrospective observational study of patients treated within a comprehensive health system in the Midwest US that includes both metropolitan and rural populations. Pts ≥18 years (yrs) with ND AML between 1 Jan 2011 and 31 Dec 2018 were identified using ICD-9 / ICD-10 codes for AML within the Health System or from one of two local cancer registries, with a follow-up period that ended with the pt's death, 2 years after initial diagnosis or 31 Dec 2018, whichever came first. Date of diagnosis served as the index date. Kaplan-Meier estimates were used to visualize overall survival. Results: A total of 629 pts with ND AML were identified in the 3 data sources and included in the cohort for analysis (Figure 1). At the index date, majority (55%) of the pts were older (61 yrs or more), male (55%) and White (89%) (Table 1). Majority of the identified pts (76%) died before the end of the study; higher proportion of older pts died vs younger pts (≥75 yrs: 89%; 61 - 74 yrs: 85% vs. ≤60 yrs: 62%). Most common comorbidities were renal disease (30%), cardiovascular diseases (24%), and diabetes (18%). Of the 500 pts with available cytogenetics data, majority had ELN-defined intermediate risk (49%), then adverse (25%) and favorable (6%); no pt ≥75 yrs had favorable risk profile. Only 82 pts (13%) had evidence of a sequencing genomic report; 78% of the pts had at least 1 mutation and 56% had 2 - 5 mutations (Table 2). By age, pts ≥75 yrs had the highest proportion of multiple (≥3) mutations (46%); most common overall were ASXL1, NPM1, and FLT3. By age, mutations with the highest frequencies were: ≥75 yrs - ASXL1, RUNX1 and TET2; 61 - 74 yrs - ASXL1, NPM1 and TP53; and ≤60 yrs - NPM1, FLT3 and DNMT3A. As expected, pts with TP53 mutations had a lower overall probability of survival vs pts with wild type TP53 or NPM1 mutations (Figure 2). Overall, 69% of pts had records for either standard induction chemotherapy (IC) or other chemotherapy (OC; includes targeted therapy) during the study period; 31% did not have records for chemotherapy (Table 3). Of the 54% of pts with IC, majority (63%) were ≤60 yrs. A higher proportion of pts ≥75 yrs (23%) received OC, which includes hypomethylating agents (HMAs), but 66% of pts ≥75 yrs did not have records for receiving any chemotherapy. Overall probability of survival for pts who received Tx (IC + OC) was higher than for pts who did not receive any Tx (Figure 3). Pts ≥75 years received proportionally more HMAs vs other age groups (Table 3). Anthracyclines and cytarabine records were similar within each age group, suggesting they were given together. In pts with genomic data, 84% received chemotherapy (IC 68%; OC 16%) while 16% did not (Table 4); proportion of pts ≤60 yrs who received IC (91%) was much higher in those with a genomic report than for the entire cohort (75%), and fewer older pts ≥75 yrs with a genomic report did not receive any chemotherapy (31%) vs 66% for the entire cohort. Conclusions: Results of this retrospective study showed 55% of the ND AML pts were >60 yrs, younger pts (≤60 yrs) are more likely to receive IC and 66% of those ≥75 yrs did not receive any chemotherapy or alternative treatment. Additionally, only 13% of pts had evidence of a genomic report although it has been used for prognostication for at least the last decade. With newer Tx options including targeted therapies, access to genomic analysis and Tx needs to increase across all environments (rural and metropolitan) given the impact that such treatments can have on patient outcome. Figure 1 Figure 1. Disclosures Byrd: Vincerx Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Novartis, Trillium, Astellas, AstraZeneca, Pharmacyclics, Syndax: Consultancy, Honoraria; Newave: Membership on an entity's Board of Directors or advisory committees. Mims: Leukemia and Lymphoma Society's Beat AML clinical study: Consultancy, Research Funding; Aptevo: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Glycomemetics: Research Funding; Kartos Pharmaceuticals: Research Funding; Xencor: Research Funding; Genentech: Consultancy; Abbvie: Consultancy; BMS: Consultancy; Kura Oncology: Consultancy; Syndax Pharmaceuticals: Consultancy; BMS: Consultancy; Jazz Pharmaceuticals: Consultancy; Aptevo: Research Funding. Borate: AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Membership on an entity's Board of Directors or advisory committees, Other: Advisory Board; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Blueprint Medicine: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Rampal: Membership on an entity's Board of Directors or advisory committees; Galecto, Inc.: Consultancy; Promedior: Consultancy.

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Lower-Risk Myelodysplastic Syndromes: Erythropoiesis-Stimulating Agent Treatment Approaches and Outcomes in the United States

Blood ◽

10.1182/blood-2021-146461 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 4657-4657

Author(s):

Kristin M. Zimmerman Savill ◽

Ajeet Gajra ◽

Kwanza Price ◽

Jonathan K. Kish ◽

Cherrishe Brown-Bickerstaff ◽

...

Keyword(s):

Data Collection ◽

Board Of Directors ◽

Systemic Therapy ◽

Research Funding ◽

Patient Characteristics ◽

Treatment Patterns ◽

Publicly Traded ◽

Independent Contractor ◽

Advisory Committees

Abstract Introduction: Myelodysplastic syndromes (MDS) comprise a group of clonal hematopoietic disorders characterized by ineffective hematopoiesis, cytopenias, dysplasia in ≥ 1 cell line, cytogenetic and molecular abnormalities, and variable risk of progression to acute myeloid leukemia. Treatment goals for MDS classified as lower-risk (LR-MDS) include transfusion independence, improvement in hemoglobin (Hb) levels, and maintenance of or improvement in quality of life. Erythropoiesis-stimulating agents (ESAs) are the first-line (1L) treatment for anemia in most patients with LR-MDS lacking del(5q), but a proportion of patients do not respond to ESA treatment, or experience progression of anemia despite ESA treatment. The objective of this real-world analysis was to describe patient characteristics, treatment patterns (including ESA use), and outcomes in patients with LR-MDS. Methods: A retrospective, observational, US multisite, cohort study was conducted among adult patients initially diagnosed with LR-MDS between January 1, 2017 and June 25, 2020. Eligible patients had ≥ 1 year of follow-up after diagnosis (unless the patient died during this time) and did not receive luspatercept or any MDS treatment as part of a randomized, controlled trial. Community oncologists abstracted data from medical records, and descriptive statistics were used to summarize patient characteristics, treatment patterns, and outcomes. Data presented are from an interim analysis of an ongoing study; the last date of data collection for this analysis was July 6, 2021. Results: Among 125 eligible patients with LR-MDS, median follow-up time was 16 months, and 83% of patients were still alive at the time of data collection. In the 8 weeks prior to diagnosis, 54% of patients did not receive any red blood cell (RBC) or platelet transfusions, while 42% and 4% had low or moderate transfusion burden, respectively. Overall, 75% of patients were negative for del(5q), and 80% of patients were negative for ring sideroblasts (RS). At diagnosis of LR-MDS, serum erythropoietin levels were < 200 U/L in 49% of patients, ≥ 200 U/L in 25%, and unknown in 26%. In terms of disease management, 35% of patients did not receive any systemic therapy or transfusions, 14% received RBC and/or platelet transfusions, but no systemic therapy for MDS, and 50% were reported to have received ≤ 2 lines of systemic therapy following LR-MDS diagnosis (Table). Of the 42% of patients who received an ESA, 70% received an ESA for MDS as a single agent (SA) only, 15% as combination therapy only, and 8% as both SA and combination therapy. A further 8% received SA ESA followed by a non-ESA-based regimen. Among 45 patients who received SA ESA as 1L treatment, 18% went on to receive a hypomethylating agent (HMA) or immunomodulatory imide drug as an SA, or ESA combined with HMA or a granulocyte or granulocyte-macrophage colony-stimulating factor (G-CSF/GM-CSF) in a subsequent line. Among patients who received an ESA, 72% were still on ESA-based therapy at the time of data collection. Abstracting physicians reported that 17% of patients who received an ESA failed ESA treatment. Among these patients, physicians' determination of ESA failure was based on the National Comprehensive Cancer Network guidelines/International Working Group 2006 response criteria for 78% of patients, and on physicians' own clinical judgement for 22%. At data collection, ESA was still being administered to 22% of patients considered to have failed ESA treatment. Finally, 34% of those who received an ESA also received RBC transfusion(s) during ESA-based treatment and therefore were not transfusion independent for the entire duration of ESA-based treatment (Table). Conclusions: Results from this real-world cohort study indicate that over a third of patients with LR-MDS have been managed using watchful waiting only, with no systemic treatment or transfusions received; among those patients who received treatment, most received an ESA. Nearly one-fifth of patients in this study treated with an ESA were considered to have failed ESA treatment by abstracting physicians, though this proportion is likely to be higher with extended follow-up; 2 of 9 patients who failed ESA treatment were still receiving an ESA. Further research including longer follow-up is warranted to understand how patients with LR-MDS respond to different treatment regimens. Figure 1 Figure 1. Disclosures Zimmerman Savill: Cardinal Health: Current Employment; Roche/Genentech: Ended employment in the past 24 months. Gajra: Cardinal Health: Current Employment, Current equity holder in publicly-traded company. Price: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Kish: Cardinal Health: Current Employment, Current equity holder in publicly-traded company, Research Funding. Brown-Bickerstaff: Cardinal Health: Current Employment. Falkenstein: Cardinal Health: Current Employment. Miller: Cardinal Health: Current Employment. Laney: Cardinal Health: Current Employment. Mukherjee: Acceleron: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Research/Independent Contractor, Research Funding; McGraw Hill: Honoraria, Other: Editor of Hematology Oncology Board Review (ongoing); Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Research/Independent Contractor, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; AAMDS in Joint Partnership with Cleveland Clinic Taussig Cancer Institute: Honoraria; Eusa Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Teaching and Speaking; Jazz Pharmaceuticals: Research Funding; Bristol-Myers Squibb Co.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BioPharm: Consultancy; Partnership for Health Analytic Research: Honoraria; Blueprint Medicines: Membership on an entity's Board of Directors or advisory committees.

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Treatment Patterns and Outcomes in Elderly Patients with Newly Diagnosed Multiple Myeloma: Results from the Connect® MM Registry

Blood ◽

10.1182/blood-2019-126205 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3129-3129

Author(s):

Hans C. Lee ◽

Sikander Ailawadhi ◽

Cristina Gasparetto ◽

Sundar Jagannath ◽

Robert M. Rifkin ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Causes Of Death ◽

Age Groups ◽

Treatment Patterns ◽

Age Group ◽

Newly Diagnosed ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership

Background: Multiple myeloma (MM) is common among the elderly, with 35% of patients (pts) diagnosed being aged ≥75 years (y). With increasing overall life expectancy, the incidence and prevalence of newly diagnosed and previously treated MM patients ≥80 y is expected to increase over time. Because elderly pts are often excluded from clinical trials, data focused on their treatment patterns and clinical outcomes are lacking. The Connect® MM Registry (NCT01081028) is a large, US, multicenter, prospective observational cohort study of pts with newly diagnosed MM (NDMM) designed to examine real-world diagnostic patterns, treatment patterns, clinical outcomes, and health-related quality of life patient-reported outcomes. This analysis reviews treatment patterns and outcomes in elderly pts from the Connect MM Registry. Methods: Pts enrolled in the Connect MM registry at 250 community, academic, and government sites were included in this analysis. Eligible pts were adults aged ≥18 y with symptomatic MM diagnosed ≤2 months before enrollment, as defined by International Myeloma Working Group criteria; no exclusion criteria were applied. For this analysis, pts were categorized into 4 age groups: <65, 65 to 74, 75 to 84, and ≥85 y. Pts were followed from time of enrollment to the earliest of disease progression (or death), loss to follow-up, or data cutoff date of February 7, 2019. Descriptive statistics were used for baseline characteristics and treatment regimens. Survival outcomes were analyzed using Cox regression. Time to progression (TTP) analysis excluded causes of death not related to MM. Results: Of 3011 pts enrolled (median age 67 y), 132 (4%) were aged ≥85 y, and 615 (20%) were aged 75-84 y at baseline. More pts aged ≥85 y had poor prognostic factors such as ISS stage III disease and reduced hemoglobin (<10 g/dL or >2 g/dL <LLN) compared with other age groups, although no notable differences between creatinine and calcium levels were observed across age groups (Table). A lower proportion of elderly pts (75-84 and ≥85 y) received triplet regimens as frontline therapy. More elderly pts received a single novel agent, whereas use of 2 novel agents was more common in younger pts (Table). The most common frontline regimens among elderly pts were bortezomib (V) + dexamethasone (D), followed by lenalidomide (R) + D, whereas those among younger pts included RVD, followed by VD and CyBorD (Table). No pt aged ≥85 y, and 4% of pts aged 75-84 y received high-dose chemotherapy and autologous stem cell transplant (vs 61% in the <65 y and 37% in the 65-74 y age group). The most common maintenance therapy was RD in pts ≥85 y (although the use was low) and R alone in other age groups (Table). In the ≥85 y group, 27%, 10%, and 4% of pts entered 2L, 3L, and 4L treatments respectively, vs 43%, 23%, and 13% in the <65 y group. Progression-free survival was significantly shorter in the ≥85 y age group vs the 75-84 y age group (P=0.003), 65-74 y age group (P<0.001), and <65 y age group (P<0.001; Fig.1). TTP was significantly shorter in the ≥85 y group vs the <65 y group (P=0.020); however, TTP was similar among the 65-74 y, 75-84 y, and ≥85 y cohorts (Fig. 2). Overall survival was significantly shorter in the ≥85 y group vs the 75-84 y, 65-74 y, and <65 y groups (all P<0.001; Fig. 3). The mortality rate was lowest (46%) during first-line treatment (1L) in pts aged ≥85 y (mainly attributed to MM progression) and increased in 2L and 3L (47% and 54%, respectively); a similar trend was observed in the younger age groups. The main cause of death was MM progression (29% in the ≥85 y vs 16% in the <65 y group). Other notable causes of death in the ≥85 y group included cardiac failure (5% vs 2% in <65 y group) and pneumonia (5% vs 1% in <65 y group). Conclusions: In this analysis, elderly pts received similar types of frontline and maintenance regimens as younger pts, although proportions varied with decreased use of triplet regimens with age. Considering similarities in TTP across the 65-74 y, 75-84 y, and ≥85 y cohorts, these real-world data support active treatment and aggressive supportive care of elderly symptomatic pts, including with novel agents. Additionally, further clinical studies specific to elderly patients with MM should be explored. Disclosures Lee: Amgen: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Ailawadhi:Janssen: Consultancy, Research Funding; Takeda: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy; Cellectar: Research Funding. Gasparetto:Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Jagannath:AbbVie: Consultancy; Merck & Co.: Consultancy; Bristol-Myers Squibb: Consultancy; Karyopharm Therapeutics: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Narang:Celgene: Speakers Bureau. Terebelo:Celgene: Honoraria; Jannsen: Speakers Bureau; Newland Medical Asociates: Employment. Toomey:Celgene: Consultancy. Hardin:Celgene: Membership on an entity's Board of Directors or advisory committees. Wagner:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Cancer Society: Other: Section editor, Cancer journal. Omel:Celgene, Takeda, Janssen: Other: Patient Advisory Committees. Srinivasan:Celgene: Employment, Equity Ownership. Liu:TechData: Consultancy. Dhalla:Celgene: Employment. Agarwal:Celgene Corporation: Employment, Equity Ownership. Abonour:BMS: Consultancy; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

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Patient Characteristics and Outcomes in Adolescents and Young Adults (AYA) with Acute Myeloid Leukemia (AML): Princess Margaret Cancer Centre Experience

Blood ◽

10.1182/blood-2019-125449 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2609-2609

Author(s):

Muhned Alhumaid ◽

Georgina S Daher-Reyes ◽

Wilson Lam ◽

Arjun Law ◽

Tracy Murphy ◽

...

Keyword(s):

Board Of Directors ◽

Older Patients ◽

Myeloid Leukemia ◽

Research Funding ◽

Age Groups ◽

Treatment Strategies ◽

Patient Characteristics ◽

Cancer Center ◽

Advisory Committees ◽

Disease Behavior

Introduction: Clinical outcomes of acute myeloid leukemia (AML) in adolescents and young adults (AYA) are rarely reported as an isolated subgroup. Treatments vary little across age groups, and treatment intensity depends upon comorbid conditions and performance status. Optimal treatment strategies focused on disease behavior, biological factors, and the distinct needs of this subset of AML patients remain elusive. The purpose of this retrospective analysis is to determine the characteristics and outcomes of AYA AML patients treated at a specialized adult leukemia cancer center in comparison to older adults with AML (40-60 years). Methods: A retrospective analysis was performed on all patients treated at Princess Margaret Cancer Center from 2008-2018. Patients with acute promyelocytic leukemia were excluded. Clinical characteristics, treatment strategies, and survival outcomes were recorded for all patients. Overall survival (OS) and disease-free survival (DFS) rates were calculated using the Kaplan-Meier product-limit method and the impact of covariates were assessed using the Log-rank test. Finally, we compared the outcomes of AYA patients treated at our centre between 2015-2018 with older patients. Results: A total of 175 patients aged 18-39 were identified. Patient characteristics are shown in (Table 1). Cytogenetic were available in 163 patients. Based on MRC criteria, 27 (16%) were favorable risk, intermediate in 95 (54%), adverse in 39 (22%), and missing/failed in 14(8%). NPM1 status was available in 110 patients of whom 38 (35%) were positive. FLT3-ITD was available in 67 patients with 24 (36%) positive. Both mutations were present in 13 (54%) patients. There were no significant differences in terms of risk stratification based on cytogenetic and molecular markers based on age (18-29 vs.30-39) (P= 0.98). Most patients 172 (98%) received induction, 157 (91%) with 3+7, and 15 (9%) with FLAG-IDA. Complete remission (CR) was achieved in 133 (77%) after first induction [120 (76%) after 3+7 and 11 (73%) after FLAG-IDA]. Induction related mortality was low (2%). Of the 39 who did not achieve CR, thirty-four patients received re-induction (13 FLAG-IDA, 16 NOVE-HiDAC, 5 others) with CR in 21 (62%). Overall, 154 (89.5%) achieved CR1. Sixty-four (42%) proceeded to hematopoietic stem cell transplantation (HSCT) in CR1. 59 (38%) patients relapsed in CR1 with 8 (12%) relapsing post HSCT. Fifty-five (5 post HSCT) patients received reinduction with 30 (51%) (2 after HSCT) achieving CR2. Fifteen patients received HSCT in CR2. OS and DFS at 2 years were 62% (95% CI 0.53-0.69) and 50% (95% CI 0.41-0.57), respectively. Stratified by cytogenetic risk, OS was 81% for favorable risk, 61% for intermediate, and 50% for adverse risk (P=0.0001), respectively. DFS in these groups was 85%, 57%, and 46 % (P=0.0025), respectively. We further compared outcomes in the 18-29y and 30-39y age groups. The OS was 61.9% compared to 62.5% (P=0.91) and DFS of 52.1% compared to 47% (P=0.65) respectively. On univariate analysis for OS and DFS, cytogenetic risk stratification was the only significant variable (P=0.0004 and P=0.0042). We then compared the outcomes 67 sequential patients aged I8-39 treated from 2014-2018, with those of 176 sequential patients aged 40-60 treated during the same period (table 2). OS at 2 years was not statistically higher in the younger group compared to the older group (66.7% vs. 61.2%, P=0.372). While relapse rate was lower in older patients (15.5% vs. 22.6%, P=0.093), NRM was higher in older patients (29.7% vs. 18.8%,P=0.094). Conclusion: AYA pts. occupy a unique niche amongst AML as a whole. While treatment responses have improved in general, there may be potential for further gains in these patients. Increased tolerance for more intense treatment strategies as well as the incorporation of novel agents into standard treatment protocols may provide a means to optimize care in AYA patients. Finally, research is needed to elucidate biological mechanisms and predictors of disease behavior instead of arbitrary, age-stratified treatment schema. Disclosures McNamara: Novartis Pharmaceutical Canada Inc.: Consultancy. Schimmer:Jazz Pharmaceuticals: Consultancy; Medivir Pharmaceuticals: Research Funding; Novartis Pharmaceuticals: Consultancy; Otsuka Pharmaceuticals: Consultancy. Schuh:Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Teva Canada Innovation: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Agios: Honoraria; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maze:Pfizer Inc: Consultancy; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yee:Astellas: Membership on an entity's Board of Directors or advisory committees; Millennium: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Astex: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MedImmune: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Research Funding. Minden:Trillium Therapetuics: Other: licensing agreement. Gupta:Incyte: Honoraria, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sierra Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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