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

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.

Download Full-text

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.

Download Full-text

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.

Download Full-text

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

Blood ◽

10.1182/blood-2021-145941 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1965-1965

Author(s):

Shebli Atrash ◽

Philippe Thompson-Leduc ◽

Ming-Hui Tai ◽

Shuchita Kaila ◽

Kathleen Gray ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Index Date ◽

Patient Characteristics ◽

Treatment Patterns ◽

Advisory Committees ◽

New Therapies ◽

Black Patients ◽

Line Of Therapy ◽

White Patients

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.

Download Full-text

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.

Download Full-text

To Treat or Not to Treat? Understanding Treatment Patterns in Patients with Lower-Risk Myelofibrosis at the Time of Enrollment in the MOST Study

Blood ◽

10.1182/blood-2020-134958 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 49-51

Author(s):

Rami S. Komrokji ◽

Brady L. Stein ◽

Robyn M. Scherber ◽

Patricia Kalafut ◽

Haobo Ren ◽

...

Keyword(s):

Board Of Directors ◽

Lower Risk ◽

Research Funding ◽

Symptom Burden ◽

Risk Groups ◽

Treatment Patterns ◽

Low Risk ◽

Publicly Traded ◽

Advisory Committees ◽

Therapy Initiation

Background: Myelofibrosis (MF) is a chronic Philadelphia chromosome-negative myeloproliferative neoplasm (MPN) characterized by extramedullary hematopoiesis, bone marrow fibrosis, splenomegaly, constitutional symptoms, and diminished quality of life. Treatment decisions may involve a variety of factors including prognosis and symptomatology. Data regarding real-world disease and demographic factors that contribute to therapy initiation and choice in pts with lower risk MF are limited. This analysis of data from the ongoing Myelofibrosis and Essential Thrombocythemia Observational STudy (MOST; NCT02953704) assessed whether these factors differ for lower risk pts who were treated vs untreated at enrollment. Methods: MOST is a longitudinal, noninterventional, prospective, observational study in pts with MF or essential thrombocythemia enrolled at clinical practices within the US. Pts included in the analysis (≥18 y), had low risk MF by the Dynamic International Prognostic Scoring System (DIPSS; Blood. 2010;115:1703), or intermediate-1 (INT-1) risk by age >65 y alone. Pt data were entered into an electronic case report form during usual-care visits over a planned 36-month observation period. Pt-reported symptom burden was assessed using the MPN-Symptom Assessment Form (MPN-SAF); Total Symptom Score (TSS) was calculated (0 [absent] to 100 [worst imaginable]; J Clin Oncol. 2012;30:4098). Data were analyzed with basic descriptive and inferential statistics. Results: Of 233 pts with MF enrolled at 124 sites between 11/29/2016 and 03/29/2019, 205 were included in this analysis; 28 were excluded for being INT-1 risk for reasons other than age. Of the 205 pts, 85 (41.5%) were low- and 120 (58.5%) were INT-1 risk; 56.5% (48/85) and 59.2% (71/120), respectively, were being treated at enrollment. Pt characteristics are listed in Table 1A. Fewer low- vs INT-1 risk pts were JAK2 V617F or MPL positive, and more were CALR positive. The proportion of pts with palpable splenomegaly was similar for treated low- and INT-1 risk pts. In low risk pts, the proportion of pts with palpable splenomegaly was higher in untreated vs treated pts; whereas, in INT-1 risk pts, the opposite was observed (ie, lower proportion in untreated vs treated pts). Blood counts were generally similar across cohorts, except median leukocytes were lower for low risk treated pts and platelet counts were elevated in low- vs INT-1 risk pts. The proportion of pts with comorbidities was similar across cohorts, except for fewer cardiovascular comorbidities in low- vs INT-1 risk pts. Mean TSS was lower in low- vs INT-1 risk pts, but the proportion of pts with TSS ≥20 was greater in treated vs untreated pts in both low- and INT-1 risk groups. Fatigue was the most severe pt-reported symptom in all cohorts. Differences in mean TSS and individual symptom scores between risk groups were not significant (P > 0.05), except itching was worse among INT-1 risk pts (P=0.03). Physician-reported signs and symptoms were generally more frequent for untreated vs treated pts, irrespective of risk (all P > 0.05). Most low risk (69.4%) and INT-1 risk pts (61.2%) who were currently untreated at enrollment had not received any prior MF-directed treatment (Table 1B); the most common prior treatment among currently untreated pts was hydroxyurea (HU) in both risk groups. Of currently treated pts, HU was the most common MF-directed monotherapy at enrollment in low-risk pts, and ruxolitinib was most common in INT-1 risk pts. No low risk pts and few INT-1 risk pts were currently receiving >1 MF-directed therapy at enrollment. Conclusion: These real-world data from pts with MF enrolled in MOST show that a substantial proportion of both low- and INT-1 risk pts who had received treatment before enrollment were not being treated at the time of enrollment. Although watch-and-wait is a therapeutic option, the finding that many of these lower risk pts had in fact received prior therapies suggests an unmet need for effective and tolerable second-line treatment options. Treated pts had greater pt-reported symptom burden vs untreated pts, which suggests that high symptom burden may contribute to the decision for treatment. Prospective studies are needed to evaluate symptom burden change with therapy initiation. In this regard, future analyses of data from MOST are planned to assess the longitudinal evolution of the clinical characteristics, treatment patterns, and management of pts with MF. Disclosures Komrokji: Geron: Honoraria; Agios: Honoraria, Speakers Bureau; AbbVie: Honoraria; Incyte: Honoraria; Novartis: Honoraria; BMS: Honoraria, Speakers Bureau; JAZZ: Honoraria, Speakers Bureau; Acceleron: Honoraria. Stein:Incyte: Research Funding; Kartos: Other: educational content presented; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pharmaessentia: Membership on an entity's Board of Directors or advisory committees. Scherber:Incyte Corporation: Current Employment, Current equity holder in publicly-traded company. Kalafut:Incyte: Current Employment, Current equity holder in publicly-traded company. Ren:Incyte: Current Employment, Current equity holder in publicly-traded company. Verstovsek:Incyte Corporation: Consultancy, Research Funding; Roche: Research Funding; Genentech: Research Funding; Blueprint Medicines Corp: Research Funding; CTI Biopharma Corp: Research Funding; NS Pharma: Research Funding; ItalPharma: Research Funding; Celgene: Consultancy, Research Funding; Gilead: Research Funding; Protagonist Therapeutics: Research Funding; Novartis: Consultancy, Research Funding; Sierra Oncology: Consultancy, Research Funding; PharmaEssentia: Research Funding; AstraZeneca: Research Funding; Promedior: Research Funding.

Download Full-text

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.

Download Full-text

Clinical and Economic Burden Of Peripheral T-Cell Lymphoma In The United States

Blood ◽

10.1182/blood.v122.21.2963.2963 ◽

2013 ◽

Vol 122 (21) ◽

pp. 2963-2963

Author(s):

Michele H. Potashman ◽

Chakkarin Burudpakdee ◽

Weiying Wang ◽

Yanyan Zhu ◽

Kenneth R. Carson

Keyword(s):

Board Of Directors ◽

Economic Burden ◽

Research Funding ◽

Index Date ◽

The United States ◽

Control Group ◽

Pharmacy Services ◽

Office Visits ◽

Peripheral T Cell Lymphoma ◽

Advisory Committees

Abstract Background Peripheral T-cell lymphoma (PTCL) is an aggressive and heterogeneous subtype of non-Hodgkin lymphoma (NHL). PTCL has a poor prognosis due to advanced stage at presentation, and generally poor response to standard chemotherapy. According to recent SEER estimates, PTCL accounts for about 4% of all NHL cases in the United States each year. To date, few studies have assessed the clinical and economic burden of PTCL. Methods MarketScan data for commercially insured and Medicare supplemental patients were used to retrospectively identify unique PTCL patients. Patients were identified by ICD-9-CM diagnosis codes between October 1, 2007 and June 30, 2011. The time of first PTCL diagnosis code served as the index date, and a second PTCL diagnosis date was used for confirmation. All patients were required to have at least 6 months of continuous enrollment before and 12 months of continuous enrollment after their index date. Patients were excluded if aged <18 years, date of birth or gender were missing, or if they had received a stem cell transplant (SCT) prior to PTCL diagnosis. The control group includes patients that may have any other malignant (excluding PTCL) or non-malignant condition and are considered to represent an average insured patient population from the payer perspective. The control group was matched based on age, sex, region, plan type, payer type, and length of enrollment. Mean cost per month was measured and annualized to provide average yearly costs. Healthcare costs included hospitalizations, pharmacy services, office visits, emergency room visits, hospice stays, SCT, and other patient-related costs (lab procedures, radiology procedures, blood transfusions, and other ancillary procedures). Results Of 2820 patients with ≥1 PTCL diagnosis, 1000 patients were identified that met all inclusion criteria (mean age 56 years, 58% male), and were matched to the control group. On an average annual basis, PTCL patients were hospitalized more often (0.9 vs 0.1 hospitalizations), and experienced a longer length of stay (6.4 vs 4 days) compared with matched controls. In addition, PTCL patients had a higher utilization of office visits (16.2 vs 4.1 visits), pharmacy services (34.2 vs 11.6 prescriptions), emergency room visits (0.8 vs 0.2 visits), and hospice care (0.6 vs 0.1 stays). PTCL patients also experienced higher comorbidities (mean Charlson Comorbidity Index of 1.72 vs 0.39, as determined at index date). Overall, PTCL patients incurred much higher average annual costs compared with matched patients ($75,934.08 vs $4660.64; Table), driven mainly by hospitalizations (32.2% of overall costs) and pharmacy services (19.6% of overall costs). Conclusions PTCL is associated with high resource utilization rates and high overall costs. The development of efficacious treatments for PTCL may offer better disease management and may reduce the clinical and economic burden of PTCL. Disclosures: Potashman: Millennium: The Takeda Oncology Company: Employment. Burudpakdee:Millennium: The Takeda Oncology Company: Consulting researcher Other. Wang:Millennium: The Takeda Oncology Company: Consulting researcher Other, Research Funding. Zhu:Millennium: The Takeda Oncology Company: Employment. Carson:Millennium: The Takeda Oncology Company: Consultancy, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Spectrum, Inc.: Membership on an entity’s Board of Directors or advisory committees, Research Funding; Kyowa Hakko Kirin Pharma, Inc.: Research Funding.

Download Full-text

Progression-Free Survival and Overall Survival Among a Patient Cohort of Relapsed/Refractory Mycosis Fungoides in France, Germany, Italy, Spain and the United Kingdom

Blood ◽

10.1182/blood-2019-126246 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 5879-5879

Author(s):

Martine Bagot ◽

Timothy Illidge ◽

Nicola Pimpinelli ◽

Mehul Dalal ◽

Athanasios Zomas ◽

...

Keyword(s):

Overall Survival ◽

Board Of Directors ◽

Mycosis Fungoides ◽

Systemic Therapy ◽

Research Funding ◽

Index Date ◽

Progression Free Survival ◽

High Rate ◽

Advisory Committees ◽

Free Survival

Background and Aim: Mycosis fungoides (MF) is the most common subtype of cutaneous T-cell lymphoma (CTCL) wherein those with advanced stage have a poor prognosis. The objective of this study was to describe clinical characteristics and survival in MF patients who were refractory or had relapsed after a first systemic therapy. Methods: A retrospective chart review study was conducted at 27 sites in Europe. Patients enrolled had a diagnosis of MF and proved to be relapsed/refractory (R/R) prior to 1-Jan-2016 after a first systemic therapy. Overall survival (OS) and progression-free survival (PFS) were estimated from the date of R/R event (defined as the index date) using Kaplan-Meier estimates. PFS was defined as death, progression, second relapse or refractory, or presence of subsequent treatment after index date. Results: This study included 104 advanced R/R MF patients with a median age of 54.5 years (range: 21-82). The median follow-up was 3.5 years (range: 0-20.7) after index date. In total 80% of patients experienced a second R/R, with a median time to second R/R of 15.8 months (range: 0.6-174.6). The median age at death was 65 years (range: 42-85). In total 39 deaths (37.5%) were observed. Among those patients who had a known cause of death (N=35), 18 died of CTCL progression, 11 of CTCL complication or drug toxicity and 7 of other causes. The estimated median OS was 11.5 years (95% CI: 6.5 - not reached). The median PFS was 1.3 years (95% CI: 1.0-2.1). Conclusions: The high rate of R/R and low PFS suggest that the clinical burden of R/R MF is significant in five European countries, and recently approved targeted therapies have the potential of improving outcomes. Disclosures Bagot: Innate Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Illidge:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Seattle Genetics, Inc.: Research Funding; Div of Cancer Sciences, Faculty of Biology, Medicine and Health, Univ of Manchester, National Institutes of Health and Research Biomedical Research Center, Manchester Academic Health Sciences, Christie Hospital National Health Service Foundation Trust: Employment. Dalal:Takeda: Employment. Zomas:Takeda: Employment. Trinchese:Takeda: Employment. Little:Takeda: Employment. Bent-Ennakhil:Takeda Pharmaceuticals International AG: Employment. Ortiz-Romero:Actelion: Consultancy, Membership on an entity's Board of Directors or advisory committees; 4SC: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; miRagen: Membership on an entity's Board of Directors or advisory committees; PLCG1: Patents & Royalties; Kyowa: Membership on an entity's Board of Directors or advisory committees; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; MEDA: Research Funding.

Download Full-text

High Risk Genomic Alterations Identified at the Time of Diagnosis Are Strongly Associated with MRD and Subsequent Poor Outcomes in AYA ALL Patients Treated on a Pediatric Inspired Chemotherapy Regimen

Blood ◽

10.1182/blood-2019-127788 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3949-3949

Author(s):

David T Yeung ◽

Matthew Greenwood ◽

Jacqueline Rhen ◽

Susan L Heatley ◽

Barbara McClure ◽

...

Keyword(s):

T Cell ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Residual Disease ◽

Genomic Analysis ◽

Outcome Data ◽

Advisory Committees ◽

Structural Genomic ◽

Allogenic Stem Cell Transplantation

Eighty-six newly diagnosed Philadelphia-negative ALL pts were enrolled from 2012 to 2018, from 14 Australian centres; 82 pts were evaluable. Pts were stratified and treated as per the pediatric ANZCHOG Study 8 protocol based on BFM 2000. Response was assessed on day 33 and 79 by morphology, flow cytometry and RQ-PCR measurable residual disease (MRD) at a central lab according to EuroMRD criteria. Allogenic stem cell transplantation was permitted for high and very high-risk disease groups. Detailed genomic analysis was performed in 47 pts (to date), using whole transcriptome sequencing (mRNA Seq) and multiplex ligation-dependent probe amplification (MLPA) for recurrent ALL related gene deletions. Median age of the study was 24 (16 - 38) years; 28% were female; 59/82 (72%) had B-ALL. Median follow up was 36 (range 3-73) months. Induction mortality was 3.6%. CR rate at day 33 was 90.4% and day 79 (time point 2, TP2) 97.6%. Relapse free survival (RFS) at 2 years was 75.6% (95%CI 65.6 - 85.5%). CR rates at day 33 and day 79 were 90.4% and 97.6% respectively. The 2-year overall survival (OS) was 79.3% (18/82 events). In concordance with other studies, TP2 MRD predicted outcome in ALL06. MRD positive (pos) pts had a 2yr RFS of 68%, vs 98% in MRD negative (neg) pts (p=0.003). To date, 47 pts had mRNA Seq & MLPA; 11/47 pts had T cell ALL; 1/47 died during induction (2.1%). The median age of this subset was 21 (15-37) years, 23% were female and the RFS at 2 years was 73.97% (95%CI 65.6 - 91.44%). TP2 MRD remained predictive of outcome in this group with 2-year RFS in MRD pos pts 54% vs 95% in MRD neg pts (p=0.013, n=44). 13/47 pts have died with a 2-year OS of 73% (95%CI 62.7 - 90%). MPLA and mRNA Seq analysed independently of outcome data revealed 28/47 pts had genomic lesions categorise as High Risk (HR). These included fusions and structural genomic abnormalities involving KMT2A, IKZF1, IGH, ABL1, JAK, CRLF2, CDKN2A/B, PAX5, RAS and ZNF384. The remaining cases were classified as Standard Risk (SR) and included mainly hyperdiploid, T cell and ETV6-RUNX1 cases. Eleven of 13 pts who relapsed were genomic HR with poorer 2-RFS vs SR (59% vs 78.8%, p=0.023 respectively) (Fig 1.). We examined the relationship between genomics risk group and TP2 MRD, a known prognostic marker. Of the 22 pts who were MRD pos, 19 (86%) pts were in the HR genomics group. In contrast, for MRD neg pts, 13/22 were in the SR group (59%) (p=0.004 Fishers exact, Table 1). This demonstrates that the TP2 MRD positive group is strongly enriched for pts with HR genomics. Pts with HR genomics who were TP2 MRD pos had a 2 year RFS of 27% vs HR MRD neg or SR pts with a 2 yr RFS of 78% (p=0.001)(Fig. 2). Further, of the 13 deaths that were observed in this subset 9/13 (69%) fell within the group of pts with HR genomics/TP2 MRD+. The single induction mortality, for whom TP2 data was not available was also genomic HR. This is one of the first genomic surveys in a cohort of AYA pts, a group known for their inferior outcomes compared to children, treated on a pediatric inspired ALL protocol. Our overall outcomes compare favourably to other cohorts (EHA 2019 abstract 2416). In ALL06, genomic risk stratification based on previous published HR lesions, identified a HR cohort with significantly lower RFS and trend for inferior OS, vs a SR cohort. HR genomics was also associated with significantly higher rates of TP2 MRD positivity. Elucidation of targetable genomic lesions at the time of diagnosis may allow interventions to minimise MRD positivity and relapse in HR pts. Genomic information also improves understanding of underlying disease biology, providing targets for novel treatment discovery. Disclosures Yeung: Pfizer: Honoraria; Amgen: Honoraria; Novartis: Honoraria, Research Funding; BMS: Honoraria, Research Funding. Greenwood:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Wei:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties: AHW is a former employee of the Walter and Eliza Hall Institute and receives a fraction of its royalty stream related to venetoclax, Research Funding, Speakers Bureau; Astellas: 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, Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Macrogenics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, 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; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra Zeneca: Honoraria, Research Funding; Janssen: Honoraria. White:AMGEN: Honoraria, Speakers Bureau; BMS: Honoraria, Research Funding.

Download Full-text

Comparison of Different Upfront Transplant Strategies in Multiple Myeloma - a Large Registry Study from Chronic Malignancies Working Party of EBMT

Blood ◽

10.1182/blood-2019-128795 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 324-324 ◽

Cited By ~ 1

Author(s):

Stefan O. Schönland ◽

Simona Iacobelli ◽

Linda Koster ◽

Didier Blaise ◽

Michael Potter ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Time Varying ◽

Advisory Committees ◽

Dynamic Prediction ◽

Landmark Analysis ◽

Entire Cohort ◽

Younger Age

Introduction Although many new drugs became available to treat multiple myeloma (MM), high-dose chemotherapy with auto-HCT remains the gold standard. Further intensification to improve disease control has been assessed in several trials. However, no clear consensus has emerged. Further evidence is therefore required to guide clinicians in choosing between single auto, tandem auto and auto-allo approaches. Materials and Methods We performed a retrospective analysis of MM patients (20-65 years) undergoing their first auto-HCT in EBMT centres (2002-2015). Our primary end-points were Progression-Free Survival (PFS) and Overall Survival (OS). We used 3 different statistical methods to avoid time bias and to account for time-dependent effects. We defined tandem transplants (auto-auto2 or auto-allo) given within 9 months in absence of progression. Single- and tandem-transplant groups were compared by a landmark analysis (1). In addition, two different dynamic prediction models (2, 3) were applied to predict long-term outcomes in all patients according to the treatment actually received while avoiding the loss of information that occurs in landmark analysis. The models incorporated a horizon time of 5 years for OS and PFS during the first 3 years following auto1. Since the effects of tandem transplants vary over time, these were split into "Recent", the first 100 days following the 2nd transplant, and "Past" for the longer term (2, 3), respectively. Age, disease status and calendar year of transplant at auto1 were also analysed. Furthermore, the third model incorporated the long-term time-varying effect of auto-allo or auto-auto2 and possible associated interactions with patients' characteristics. Results A total of 24,936 patients who received an auto as first transplant were included; 3,683 of these patients proceeded to an elective tandem auto and 878 to an auto-allo transplant. The median age of the entire cohort was 57.0 years (range 18.1.-65.0). 18% were in complete remission (CR) at first auto. The Tandem auto-allo group was younger (51.7 years). Both tandem groups (auto-auto and auto-allo) had fewer patients in CR at first auto (9% and 8%, respectively). There was no difference in CR rates at second transplant in the tandem groups (18% and 19%, respectively). In the tandem auto-allo group, 72% had HLA identical sibling donors and 25% matched unrelated donors. Reduced intensity conditioning was performed in 85% of the allogeneic transplants. The median follow-up of the entire cohort was 66.3 months. At 60 months following first auto, the PFS was 24.8% and OS 63.1%. All three statistical methods found that younger age and being in CR at first transplant were associated with superior PFS and OS. The long term results of the different transplant strategies were as follows: Landmark analysis at 4 months resulted in a reduction in the number of transplants analysed. Auto-allo only had an advantage in terms of very long term PFS (figure 1) and not for OS (not shown).Dynamic prediction (table 1, curves not shown) revealed that the tandem groups were superior regarding PFS in comparison to single auto (auto-allo and auto-auto: HR 0.56 and 0.85, both p<0.001; corresponding to a 21% and 6% gain of PFS probability, respectively). For OS, the tandem groups were just slightly superior (auto-allo and auto-auto: HR 0.78 and 0.87, both p<0.001; corresponding to a 7 % and 4% gain in OS probability, respectively).Finally, dynamic prediction with time-varying effect and interactions revealed that auto-auto was superior, especially for patients in CR at first auto. In essence, auto-auto was the best treatment strategy for this group in terms of OS; for PFS, auto-allo remained the best long-term strategy (figure 2). Summary We here present a very large cohort of patients who have undergone auto and allo transplantation as first-line treatment for MM. Younger age and being in CR at first transplant were consistently found to be positive prognostic factors for PFS and OS. Tandem auto-allo was superior to single and tandem auto for long-term PFS. However, this PFS advantage only translated into a minor OS benefit for tandem auto-allo even when analysis was restricted to patients who were not in CR at the time of the first auto-HCT. Disclosures Schönland: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Medac: Other: Travel Grant. Blaise:Pierre Fabre medicaments: Honoraria; Sanofi: Honoraria; Jazz Pharmaceuticals: Honoraria; Molmed: Consultancy, Honoraria. Chevallier:Jazz Pharmaceuticals: Honoraria; Daiichi Sankyo: Honoraria; Incyte: Consultancy, Honoraria. Mayer:AOP Orphan Pharmaceuticals AG: Research Funding. Gribben:Abbvie: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Acerta/Astra Zeneca: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding. Stelljes:MDS: Consultancy; Pfizer: Consultancy, Honoraria, Research Funding; Novartis: Honoraria; Amgen: Honoraria; Jazz Pharmaceuticals: Honoraria. Bloor:Abvie, Gilead, Novartis, Autolus, Celgene, etc: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Educational grant. Beksac:Celgene: Speakers Bureau; Janssen: Research Funding, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hayden:Amgen: Honoraria; Alnylam: Honoraria. Kröger:Celgene: Honoraria, Research Funding; DKMS: Research Funding; JAZZ: Honoraria; Medac: Honoraria; Neovii: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Riemser: Research Funding; Sanofi-Aventis: Research Funding.

Download Full-text