Comparison of Peripheral Blood Stem Cell Mobilization for Multiple Myeloma Patients over 70 Years of Age with Younger Patients

Abstract Background: Autologous stem cell transplantation (ASCT) is increasingly offered to older patients with multiple myeloma (MM) based on clinical trials demonstrating improved outcome. Inherently, successful mobilization and collection of peripheral blood stem cells (PBSC) is necessary for ASCT. A direct comparison of the efficacy of mobilization between elderly and younger patients has not been reported. Retrospective studies demonstrated that older patients had lower CD34+ cell yield and a higher incidence of mobilization failure (Lee et al 2014, Muchtar et al 2016). In this retrospective study, we compared two age groups (>/=70 years and <70 years) in MM patients who received ASCT at the John Theurer Cancer Center. We compared the outcomes of PBSC mobilization and transplantation between the two groups. Methods: MM patients who received a single ASCT at our institution between 2005 and 2016 were included. More than 95% of patients received either cyclophosphamide-based chemotherapy with GCSF (CY-GCSF) or plerixafor with GCSF (Pleri-GCSF) and were included in the analysis. We identified 111 patients aged >/= 70 years and 315 patients <70 years. The total CD34+ cell yield, number of apheresis sessions and CD34+ yield per session were compared by age group and mobilization regimen using the student's t-test. Multivariate analysis was performed using the general linear model with age group, mobilization regimen, age and mobilization agent interaction, Durie-Salmon (DS) stage, disease status at mobilization, and mobilization within 12 months of diagnosis as covariates. Progression-free survival (PFS) and overall survival (OS) were compared using Cox proportional hazard model with the above-mentioned covariates. All analyses were done using SAS 9.4. Results: Patient characteristics and CD34+ cell yield by age group are summarized in Table 1. The majority of patients in both groups underwent mobilization within one year of diagnosis. Older patients were less likely to receive CY-GCSF and more likely to receive Pleri-GCSF compared to younger patients (p<0.001). Disease status at mobilization, time from diagnosis to mobilization and DS stage were not associated with choice of mobilization regimens (p>0.05 for all). The two groups had similar number of apheresis sessions regardless of mobilization regimen. When receiving Pleri-GCSF, the two age groups had similar CD34+ yield per apheresis (4.4x10e6 /kg and 3.9x10e6 /kg for age>/=70 and age<70, respectively, p=0.49). However when receiving CY-GCSF, the older patients had lower CD34+ yield per apheresis compared to the younger patients (5.4 x10e6 /kg and 7.5 x10e6 /kg, respectively, p=0.004). When comparing the CD34+ yield per session within the older cohort, the yields with CY-GCSF and Pleri-GCSF were similar (p=0.16). In the multivariate analysis including all patients, time from diagnosis to mobilization, disease stage and disease status at mobilization were not associated with CD34+ yield per session or total CD34+ yield. Neither age nor mobilization regimen was associated with PFS or OS, after adjusting for disease stage and disease status at ASCT (Table 2, Figure 1, Figure 2). Conclusions: CD34+ yield was comparable between younger patients and older patients receiving plerixafor + GCSF. In contrast, the CD34+ yield was lower in the older patients receiving cyclophosphamide + GCSF. The cause of the difference is not clear and warrants further study. The PFS and OS were comparable between the two groups after ASCT. The choice of mobilization regimen did not affect survival. We have previously advocated cyclophosphamide mobilization in most patients because of the higher CD34+ yield and lower cost compared to plerixafor + GCSF (Panchal et al., ASH 2017). However this study showed that the CD34+ yield was not significantly different for patients aged 70 years or older in response to the different mobilization regimens. It is reasonable to consider plerixafor + GCSF in the elderly when chemotherapy toxicity is of concern. Disclosures Siegel: Karyopharm: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Merck: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau. Biran:Amgen: Consultancy, Speakers Bureau; Merck: Research Funding; Celgene: Consultancy, Honoraria, Speakers Bureau; BMS: Research Funding; Takeda: Consultancy, Speakers Bureau. Skarbnik:Gilead Sciences: Honoraria, Speakers Bureau; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Honoraria, Speakers Bureau; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Honoraria, Speakers Bureau; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Speakers Bureau.

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Breaking the Glass Ceiling of Age in Transplant in Multiple Myeloma

Blood ◽

10.1182/blood-2019-124804 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 782-782 ◽

Cited By ~ 3

Author(s):

Pashna N. Munshi ◽

Parameswaran Hari ◽

David H. Vesole ◽

Artur Jurczyszyn ◽

Jan Zaucha ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Older Patients ◽

Research Funding ◽

Age Groups ◽

Karnofsky Performance Score ◽

Age Group ◽

Advisory Committees ◽

Younger Patients ◽

Equity Ownership

Background: Autologous hematopoietic cell transplantation (AHCT) is an effective treatment to achieve deep and durable remission in multiple myeloma (MM). Typically, AHCT is offered to patients <70 years of age, although the median age of diagnosis of MM is 70 years. We compared the outcomes of upfront AHCT across age groups for newly diagnosed MM in the era of novel therapies using the Center for International Blood and Marrow Transplant Research (CIBMTR) database. Methods: We analyzed the outcomes of 15,999 MM patients aged 20 years and older from the USA who received a single AHCT with melphalan conditioning within 12 months of diagnosis between 2013 and 2017 and reported to the CIBMTR. Multivariate analysis was performed for non-relapse mortality (NRM), relapse/progression (REL), progression-free survival (PFS) and overall survival (OS) using Cox proportional hazards model with age at transplant in decades as the main effect. Hazard ratio (HR) with 95% confidence intervals (CI) are reported. Because of the large sample size, a p-value of <0.01 was considered significant a priori. Results: Table 1 shows patient, disease and treatment characteristics by age group at diagnosis. All age groups had similar distribution of gender, race, ethnicity, Karnofsky performance score (KPS), comorbidity index (HCT-CI), stage III by Durie-Salmon/International Staging System. There was a higher proportion of high-risk cytogenetics in patients ≥70 years (30%), compared to age group 40-49 years (24%) and 20-39 years (20%) in this population. Older patients were more likely to be White compared to younger patients: 85% ≥70 compared to 64% 20-39 years. While 82% of the overall population received melphalan 200 mg/m2, 58% of the ≥70% received Mel 140 mg/m2. There were more ASCT performed in the ≥70-year age group in 2017 (28%) compared to 2013 (15%). Univariate outcomes by age groups shown in Table 2 revealed that 100-day NRM was higher in ≥70 years at 1% compared to younger patients (p <0.01) and 2-year OS was lower in ≥70 years at 86 (85-88)% compared to 60-69 years, 89 (88-89)% (p<0.01). When adjusted for other variables (Table 3), compared to reference age group of 60-69 years, patients ≥70 had similar NRM (HR 1.3, 95% CI 1, 1.7, p 0.06), REL (HR 1.03, 95% CI 0.9, 1.1, p 0.6), PFS (HR 1.06, 95% CI 1, 1.2, p 0.2), and OS (HR 1.2, 95% CI 1, 1.4, p 0.02). The leading cause of death across all age groups was primary disease. Among the ≥70 years cohort, melphalan dose was a surrogate for worse outcomes including NRM at 100 days (Mel 140, 1 (1-2)% vs Mel 200 0 (0-1)%, p 0.003, PFS at 2 years Mel 140 64 (60-67)% vs Mel 200 69 (66-73)%, p 0.003, and OS at 2 years (Mel 140 85 (82-87)% vs Mel 200 89 (86-91)%, p 0.01) (Figure). Conclusions: This is the largest study of AHCT in older adults with MM. More MM patients ≥70 years are being transplanted in the US over time. While our data may highlight referral and access biases regarding which older patients may be referred for ASCT, our results confirm that patients ≥70 years can undergo transplant safely and achieve similar benefits as 60-69 years' old patients. Our results also suggest that melphalan 200 mg/m2 may be given safely in the ≥70 years population. While melphalan conditioning dose 140 mg/m2 in the ≥70 group is associated with worse outcomes, this is likely a surrogate for higher frailty and comorbidities in this cohort of patients. Our analysis confirms that AHCT has similar benefits in terms of disease control (REL and PFS) in both young and older MM patients. This benefit is seen even in a contemporaneous era where proteasome inhibitors and/or immunomodulator drugs are used in upfront treatment. Thus, AHCT remains a safe consolidation therapy across all age groups of MM patients. Disclosures Hari: Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Research Funding; Janssen: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Amgen: Research Funding; Spectrum: Consultancy, Research Funding; Sanofi: Honoraria, Research Funding; Cell Vault: Equity Ownership; AbbVie: Consultancy, Honoraria. Kumar:Janssen: Consultancy, Research Funding; Takeda: Research Funding; Celgene: Consultancy, Research Funding. Shah:Poseida: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Nkarta: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene, Janssen, Bluebird Bio, Sutro Biopharma: Research Funding; University of California, San Francisco: Employment; Genentech, Seattle Genetics, Oncopeptides, Karoypharm, Surface Oncology, Precision biosciences GSK, Nektar, Amgen, Indapta Therapeutics, Sanofi: Membership on an entity's Board of Directors or advisory committees; Indapta Therapeutics: Equity Ownership; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Teneobio: Consultancy, Membership on an entity's Board of Directors or advisory committees. Qazilbash:Genzyme: Other: Speaker; Bioclinical: Consultancy; Amgen: Consultancy, Other: Advisory Board; Autolus: Consultancy. D'Souza:EDO-Mundapharma, Merck, Prothena, Sanofi, TeneoBio: Research Funding; Prothena: Consultancy; Pfizer, Imbrium, Akcea: Membership on an entity's Board of Directors or advisory committees.

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Comparison of Outcomes of Haploidentical Peripheral Blood Stem Cell Transplantation with Post-Transplant Cyclophosphamide in Older Versus Younger Patients

Blood ◽

10.1182/blood-2020-141966 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 27-27

Author(s):

Giacomo Adoncecchi ◽

Ambuj Kumar ◽

Rawan Faramand ◽

Hien D. Liu ◽

Farhad Khimani ◽

...

Keyword(s):

Board Of Directors ◽

Older Patients ◽

Research Funding ◽

Chronic Gvhd ◽

Age Groups ◽

Group Versus ◽

Survival Outcomes ◽

Advisory Committees ◽

Younger Patients ◽

Two Age Groups

Introduction: Previous studies have demonstrated that allogeneic haploidentical (haplo) peripheral blood stem cell transplantation (PBSCT) with post-transplant cyclophosphamide (PTCy) yields improved progression free survival (PFS) when compared to haplo bone marrow transplant (BMT) with PTCy, attributable to lower relapse without an increase in non-relapse mortality (NRM) (Bashey, et al. JCO. 2017). However, haplo PBSCT results in higher rates of graft-versus-host disease (GVHD) which may negate these benefits in older patients who are more susceptible to transplant related toxicity. Thus, evaluation of the outcomes of haplo PBSCT with PTCy in older patients is warranted. Methods: We retrospectively evaluated 121 adult patients with hematologic malignancies treated at the Moffitt Cancer Center with allogeneic T-cell replete PBSCT from a haplo donor followed by PTCy-based GVHD prophylaxis. Data were extracted from the Moffitt BMT Research & Analysis Information Network (BRAIN) database. Myeloablative (n=70, 58%) and reduced intensity (n=51, 42%) conditioning regimens were included. Transplant related outcomes were compared between two age groups: <60 years (n=66) versus >60 years (n=55). Associations with transplant related survival outcomes were assessed using univariate and multivariate Cox proportional hazard survival models. Fine and Gray regression models were used to assess associations of transplant related endpoints with competing risks. Kaplan-Meier curves and cumulative incidence function curves were also plotted. Results: The median age at the time of transplant was 42 years (range: 20-59) for the younger group and 66 years (range: 61-75) for the older group. The median follow-up was 17 months (range: 2-53) for the entire cohort. Younger patients were more likely to receive myeloablative conditioning (83% versus 27%, p<0.001). Baseline characteristics were otherwise similar. Neutrophil engraftment (>500/uL) by day 30 did not differ significantly between the younger and older group (98% versus 93%, p=0.26). However, the median time to neutrophil engraftment was faster in the younger group versus the older group (16 versus 21 days, p<0.001). Platelet engraftment (>20,000/uL) by day 90 was achieved in 92% in the younger group versus 76% in the older group (p=0.03). The time to platelet engraftment was faster in the younger group: 28 days versus 36 days (p=0.006). At day 100, the cumulative incidence (CuI) of grade II-IV acute GVHD in younger patients was 42% (95% CI 29-61%) and for older patients was 35% (95% CI 22-55%, p=0.82). The CuI for grade III-IV acute GVHD for the younger and the older groups were 8% (95% CI 4-25%) and 15% (95% CI 7-38%, p=0.23), respectively. At 2 years, the CuI of chronic GVHD was 67% (95% CI 55-82%) for younger patients versus 56% (95% CI 38-82%) for older patients (p=0.20). NRM for the younger group and the older group, respectively, was 6% (95% CI 2-16%) versus 19% (95% CI 11-34%) at 100 days and 14% (95% CI 6-30%) versus 22% (95% CI 13-37%) at 2 years (p=0.17). The CuI of relapse at 2 years was not significantly different between the two age groups, with the younger recipients having a CuI of 42% (95% CI 20-60%) and the older group 31% (95% CI 17-56%, p=0.70). The 2-year DFS was similar between the younger and older group, respectively: 51% (95% CI 36-66%) and 53% (95% CI 37-70%, p=0.72). Similarly 2-year overall survival (OS) for the younger group was 59% (95% CI 44-74%), while the older group was 66% (95% CI 52-80%, p=0.92). In multivariate analysis, NRM was superior in the younger group (HR=0.31, 95% 0.12-0.82, p=0.02). Otherwise, age was not associated with engraftment, risk of acute or chronic GVHD, relapse, DFS, or OS. Conclusion: Our results demonstrate that outcomes following allogeneic haplo PBSCT with PTCy in patients >60 years approximate outcomes in patients <60 years. While NRM was inferior in the older patient group, this difference did not result in significant differences in long term OS or DFS. Instead, other variables such as the hematopoietic comorbidity index and the disease risk index were better indicators of survival outcomes. Additionally, these survival outcomes with haplo PBSCT with PTCy appear to be similar to prior published data with haplo BMT with PTCy in older patients (Kasamon, et al. JCO. 2015). Based on this study, haplo PBSCT with PTCy is an appropriate transplant platform for elderly patients. Disclosures Khimani: Bristol Myers Squibb-Moffitt-Alliance: Research Funding. Nishihori:Novartis: Other: Research support to institution; Karyopharm: Other: Research support to institution. Pidala:Syndax: Consultancy, Membership on an entity's Board of Directors or advisory committees; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Takeda: Research Funding; Janssen: Research Funding; Johnson and Johnson: Research Funding; Pharmacyclics: Research Funding; Abbvie: Research Funding; BMS: Research Funding. Bejanyan:Kiadis Pharma: Membership on an entity's Board of Directors or advisory committees.

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Higher Incidence of Secondary AML and Adverse Molecular Markers, Together with Lower CR and Higher AML Related Death Rates in Elderly Compared to Younger Patients: Results from 2435 Patients Included in the Two German AML Intergroup Studies

Blood ◽

10.1182/blood.v126.23.2517.2517 ◽

2015 ◽

Vol 126 (23) ◽

pp. 2517-2517

Author(s):

Dietger Niederwieser ◽

Verena Sophia Hoffmann ◽

Utz Krug ◽

Rainer Krahl ◽

Christina Sauerland ◽

...

Keyword(s):

Older Patients ◽

Research Funding ◽

De Novo ◽

Age Groups ◽

Disease Status ◽

Study Group ◽

Advisory Committees ◽

Younger Patients ◽

Secondary Aml ◽

De Novo Aml

Abstract Background The German AML Intergroup conducted two randomized studies in younger (<60 years) and elderly (≥60 years) patients in which the study arms were compared to a common standard arm. Here, we compared the two studies in younger and elderly patients focusing on disease characteristics and outcome. Patients and Methods The East German Study Group (OSHO) and the Acute Myeloid Leukemia Cooperative Group (AMLCG) each entered patients from 18 to 59 years into one study and patients aged 60 years and older into another. Each study group randomized upfront 10% of all AML patients into a common standard arm and 90% in the study group specific arm. All patients with de novo AML or AML after myelodysplastic syndrome or cytotoxic treatment were eligible. Chi-squared and Mann-Whitney-U tests were used to detect significant differences between the age groups regarding demographic, clinical and cytogenetic characteristics at baseline. Complete Remission (CR) at 90 days and cumulative probabilities of death were determined for outcome. To avoid bias due to the higher probability of death in older patients, cumulative probabilities of death were calculated for relapsed patients or those who did not achieve CR after 90 days. Other deaths were considered as a competing risk. Results A total of 2435 AML patients were analyzed, 1132 in the study <60 years and 1303 in the study ≥60 years. Significant differences in patient characteristics were noted between the studies. The elderly patient group contained a higher proportion of males than the younger group (55% vs 49% respectively, p=0.0031) and a higher percentage of secondary AML (40% vs 21% respectively, p<0.0001). In contrast, younger patients had higher median WBC count [13x109/L (range 0.03-798) for <60 years and 6.9x109/L (range 0.23-450) for ≥60 years, p<0.0001] and higher median lactate dehydrogenase [442U/L (range 35-19,624) for <60 years and 350U/L (range 51-9,486) for ≥60 years, p<0.0001]. Cytogenetic risk was similarly distributed in both groups (favorable: 12% in both age groups, intermediate: 66% in <60 years and 63% in ≥60 years, adverse: 22% in <60 years and 25% in ≥60 years, p=0.1672). However, the favorable combination of FLT3-ITDwt and NPM1mut in normal karyotype was more common in the younger (35%) than in the older group (27%; p=0.0212). A higher rate of CR at 90 days was observed in the younger (66%) than in the older (51%) patients (p=<0.0001). Of the younger patients 14.8% died (3.8% with persisting AML, 3.3% without AML and 7.7% without evaluable disease status) while of the older patients 21.8% died (6.2% with persisting AML, 2.5% without AML and 13.1% without evaluable disease status) during this period (p=0.0001). Relapse at 90 days was seen in 1% of the younger and in 2% of the older patients. The cumulative probability of AML-related death was lower in younger patients than in older patients (p<0.0001). Of the younger patients 29% (95% CI: 26% to 31%) and 44% (95% CI: 40% to 46%) died after one and three years due to AML; in the older group the corresponding frequencies were 45% (95% CI: 42% to 48%) and 62% (95% CI: 59% to 65%; Figure 1a). The probability of dying from AML was lowest for the younger patients with de novo AML [27% (95% CI 24% to 29%) at 1 year and 41% (95% CI 38% to 44%) at 3 years] and highest for those with secondary AML [38% (95% CI 32% to 44%) at 1 year and 56% (95% CI 49% to 62%) at 3 years (p=0.0001)], with similar differences being observed in the older patients (p=0.0001, Figure 1b). In the younger patients, CR at 90 days was lower in the standard (58%) than in the study arm (66%, p=0.0558), while AML related death was 29% and 27% at 1 year and 44% and 39% at 3 years respectively. In the older patients CR at 90 days was 52% vs. 51%, AML related death at 1 year 45% and 45% and at 3 years 63% and 69% for study arm and standard arm, respectively (Figure 1c). Conclusion This analysis reveals significant differences in gender, laboratory characteristics and proportion of secondary AML in elderly compared to younger AML patients. While there was no clear difference in cytogenetic risk groups, favorable molecular markers were more frequent in younger patients. Clear differences in CR rates after 90 days of therapy and AML related death rate were seen in regard to age (<60 years and ≥60 years) and disease type (de novo and secondary AML). As the common standard arm in both of the studies was age adapted, the differences between the two age groups are likely to be related to disease biology. Disclosures Niederwieser: Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Hoffmann:Novartis Oncology Europe: Research Funding. Krug:Sunesis; Clavis Pharma; usa Pharma, Catapult Cell Therapy, Gilead, Roche: Membership on an entity's Board of Directors or advisory committees; Sunesis: Speakers Bureau; Boehringer Ingelheim: Research Funding; Novartis; BMS; Roche; Boehringer Ingelheim; Bayer: Honoraria. Hegenbart:Janssen: Honoraria, Other: travel support. Pfirrmann:Novartis Pharma: Consultancy, Honoraria; BMS: Consultancy, Honoraria. Kraemer:TEVA: Other: travel support. Al-Ali:Celgene: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding.

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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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Disease Characteristics and Patterns of Care In Elderly Patients (80+ years) with Follicular Lymphoma (FL) In the United States (US); Are Older Patients Treated Differently? Report From the National LymphoCare Study (NLCS)

Blood ◽

10.1182/blood.v116.21.4152.4152 ◽

2010 ◽

Vol 116 (21) ◽

pp. 4152-4152

Author(s):

Chadi Nabhan ◽

Michelle Byrtek ◽

Michael Taylor ◽

Jill Tydell ◽

Jamie H. Hirata ◽

...

Keyword(s):

Older Patients ◽

Research Funding ◽

Age Groups ◽

Treatment Patterns ◽

Disease Stage ◽

Younger Patients ◽

Disease Characteristics ◽

Significant Difference ◽

The Difference ◽

Grade 3

Abstract Abstract 4152 Background: While FL is the most common low-grade lymphoma in the US, median age was less than 60 in patients enrolled on pivotal studies that led to our understanding of disease biology and optimal therapy. It remains unclear whether similar disease characteristics, presentation, prognostic factors, treatment patterns, and outcomes pertain to older patients with FL. No clear guidelines exist on how older patients should be treated and data is lacking as to whether current practice patterns affect their survival and progression. Previous reports on FL in the elderly have been retrospective and single center-based. Methods: The NLCS is a prospective, longitudinal multicenter, observational study that enrolled consecutive newly diagnosed FL patients from 3/2004 through 3/2007 collecting data on disease and patients' characteristics, treatment patterns, and outcome. Using the NLCS data we analyzed information on disease stage, grade, FL International Prognostic Index (FLIPI), B symptoms, and treatment choice for patients <60 years, 60–69 years, 70–79 years, and 80+ years. Either Chi-square or Fisher's exact comparison was used to assess the correlations depending on the sample size of the test. Results: A total of 2,736 pts were enrolled, of which 1,215 (44%) were < 60, 708 (25%) were between 60–69, 549 (20%) were between 70–79, and 264 (9%) were >80. There was a significant difference in grade distribution across the different age groups (p < 0.0001), with 22% of pts 80+ having grade 3 FL vs 17% pts <60. No significant differences across age groups in B symptoms, extra nodal sites, or LDH values were observed. A significant difference in FLIPI score was seen across the age groups (p < 0.0001) where high-score FLIPI was present in 48% of pts 80+ as opposed to 16% of pts <60, although calculating FLIPI might be confounded by the fact that older patients were more likely to not have received a bone marrow (BM) exam with 66% of pts 80+ not having BM exam vs. only 40% of those <60 (p < 0.0001). The difference in FLIPI was mainly due to lower Hgb values as older patients were more likely to have had Hgb < 12 g/dL than younger patients (31% of pts 80+ vs. 15% of pts <60) and to age being a component of the FLIPI index. The difference in FLIPI score across age groups was also observed in patients with grade 3 FL where 53% of pts 80+ had poor FLIPI vs. 15% of pts <60 (p < 0.0001). A statistically significant difference in treatment patterns was found across age groups (p <0.0001). When treatment was implemented, older patients were more likely to have received rituximab (R) monotherapy (37% of 80+ vs. 12% of <60) and less likely to have received R+Chemotherapy (40% of pts 80+ vs. 64% of pts<60). In addition, more pts 80+ were observed compared to those <60 (23% vs. 16%). These differences persisted even in those with advanced stage (III/IV), grade 3 disease, region of diagnosis, and in poor-risk FLIPI. When chemotherapy was used, older patients were less likely than younger patients to receive anthracyclines (p < 0.0001) (31% of pts 80+ vs. 69% of pts<60). Anthracycline use remained significantly different regardless of disease stage, grade, or FLIPI score. Conclusions: To our knowledge, this is the largest prospective data collection available for FL pts 80+ years of age. We demonstrate that these pts have higher FLIPI score and grade 3 disease. When treatment is initiated, these patients receive R monotherapy more often than their younger counterpart. Anthracycline use in this population is also less common regardless of disease stage, grade, or risk profile. Whether these baseline differences translate into different outcomes remains to be seen. Disclosures: Nabhan: genentech: Research Funding, Speakers Bureau. Byrtek:Genentech: Employment. Taylor:Genentech: Employment. Hirata:Genentech: Employment. Flowers:Genentech/Biogen-Idec (unpaid): Consultancy; Celgene, Intellikine: Consultancy; Millennium: Research Funding.

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Variation in Health-Related Quality of Life by Age Among Patients with Chronic Lymphocytic Leukemia

Blood ◽

10.1182/blood.v118.21.2085.2085 ◽

2011 ◽

Vol 118 (21) ◽

pp. 2085-2085

Author(s):

Chris L. Pashos ◽

Christopher R Flowers ◽

Mark Weiss ◽

Nicole Lamanna ◽

Charles M Farber ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Age Groups ◽

Lymphocytic Leukemia ◽

Age Group ◽

Employment Equity ◽

Advisory Committees ◽

Related Quality ◽

Health Related ◽

Equity Ownership

Abstract Abstract 2085 Introduction. Although advanced patient age is commonly used as a factor in selecting therapy for patients with chronic lymphocytic leukemia (CLL), based on presumed associations with functional status, limited data exist regarding the relationships between age and physical, emotional, social, and functional well being. We examined the relationships between age and these domains of health-related quality of life (HRQOL) for CLL patients treated in US community practices. Methods. Baseline data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by patients in the clinic at enrollment. Patients completed 3 psychometrically validated instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Standard analyses were conducted of each instrument given clinical characteristics at that time. Reported mean BFI, EQ-5D and FACT-Leu scores were analyzed by age group (<65, 65–74, >74). Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Baseline HRQOL data were reported by 604 patients, enrolled from 161 centers. Patients were predominantly male (62%) and white (90%) with mean age at 69.9 (standard deviation [SD] 11.2) yrs. HRQOL scores by age group are presented: There were no significant differences between the age groups in fatigue as measured by the BFI, or differences in overall HRQOL as measured by the EQ-5D Visual Analogue Scale (VAS) or the FACT-G. Anxiety/depression and self care are EQ-5D domains that also did not vary by age. Although mobility was most impaired in the oldest age group compared to the two younger groups, usual activities and pain/discomfort were worse in both the younger and older cohorts compared to those 65–74 years of age. FACT-Leu results indicated that the social/family domain scores did not vary by age, but that physical, emotional, and functional domains did vary statistically with the oldest typically doing better than the 65–74 year olds, but not necessarily better than those <65. Conclusions. Initial results from the Connect CLL® Registry indicate that HRQOL does not worsen monotonically with older age. In this cohort, both the youngest and oldest age groups had worse HRQOL in certain domains, presenting an inverted v-shaped relationship. Future analyses should be conducted on: (1) how HRQOL may be affected over time with changes in disease; and, (2) how HRQOL may be influenced by alternative therapies. Results reported here should serve as a useful baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

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Outcome with Lenalidomide Plus Dexamethasone Followed by Early Autologous Stem Cell Transplantation In the ECOG E4A03 Randomized Clinical Trial

Blood ◽

10.1182/blood.v116.21.38.38 ◽

2010 ◽

Vol 116 (21) ◽

pp. 38-38 ◽

Cited By ~ 11

Author(s):

David Samuel diCapua Siegel ◽

Susanna Jacobus ◽

S. Vincent Rajkumar ◽

Rafat Abonour ◽

Natalie Scott Callander ◽

...

Keyword(s):

Overall Survival ◽

Board Of Directors ◽

Research Funding ◽

Age Groups ◽

Early Mortality ◽

First Year ◽

Age Group ◽

Newly Diagnosed ◽

Advisory Committees

Abstract Abstract 38 INTRODUCTION: Lenalidomide and bortezomib have moved into the management of newly diagnosed multiple myeloma leading to dramatically improved outcomes. As a consequence, the role of upfront autologous peripheral blood stem cell transplant (ASCT) has become more controversial. The ECOG E4A03 clinical trial randomized newly diagnosed MM patients to lenalidomide with high-dose dexamethasone (LD) vs lenalidomide with low-dose dexamethasone (Ld) (Rajkumar et al Lancet Oncol 2010; 11: 29–37). Upon completing four cycles of therapy, pts had the option of ASCT or continuing on the assigned therapy. The purpose of this abstract is to determine the outcome of patients on this trial pursuing early ASCT according to various age-groups. MATERIALS and METHODS: This is a post hoc, retrospective analysis of overall survival within age subgroups stratified by early ASCT status. This is a landmark analysis including only pts surviving the first 4 cycles of therapy. RESULTS: In all three age-groups studied, 1, 2, and 3-year survival probability estimates with ASCT were excellent (Tables 1, 2, and 3). For patients under the age of 65 who survived the first 4 cycles of therapy, overall survival at 3-years was 94% with early ASCT, 78% in pts continuing protocol therapy. Although direct comparison with patients not going to early transplant is not possible because the assignment to early ASCT versus no early ASCT was not randomized, survival with ASCT at 3-years appeared higher. While we attempt to correct for age, the differences may be influenced by other factors such as performance status, comorbidities, response to therapy, etc. The presumption that treatment related mortality (TRM) should be more problematic for older pts undergoing ASCT is addressed by looking at the >65 and >70yo cohorts. In the >65 age group, one-year mortality is similar between the early ASCT population and the no early ASCT population. In the >70 age group, no adverse impact of early ASCT was seen in the first year on overall survival but the sample size is extremely small. In all age groups early ASCT seemed to mitigate some of the survival disadvantage associated with randomization to the LD arm. CONCLUSIONS: This analysis shows that the strategy of lenalidomide plus dexamethasone induction followed by early ASCT has a remarkably good outcome in terms of overall survival in all age groups studied and supports the continued role of early consolidative ASCT in newly diagnosed patients. The risk of early mortality was notably low in the first year in all age groups. The risk of early mortality seems to increase at 2 years for the LD pts not choosing early ASCT and at 3 years for the Ld pts not choosing early ASCT. Selection bias makes it difficult to compare results for pts that chose early ASCT directly to the patients who did not receive early ASCT in this trial. As such, these results emphasize the need for randomized trials investigating the timing of ASCT in myeloma in the era of novel therapy. Disclosures: Siegel: Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Merck: Membership on an entity's Board of Directors or advisory committees. Off Label Use: Lenalidomide for front line therapy. Abonour:Celgene: Speakers Bureau; Millennium Pharmaceuticals: Speakers Bureau. Callander:Millennium Pharmaceuticals: Research Funding. Fonseca:Amgen: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy, Research Funding; Genzyme: Consultancy; Onyx: Research Funding; Otsuka: Consultancy; Medtronic: Consultancy. Vesole:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

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Patterns of Care for Patients with Chronic Lymphocytic Leukemia (CLL): The Connect® CLL Disease Registry

Blood ◽

10.1182/blood.v118.21.2864.2864 ◽

2011 ◽

Vol 118 (21) ◽

pp. 2864-2864

Author(s):

Jeff Sharman ◽

Christopher R Flowers ◽

Mark Weiss ◽

David Grinblatt ◽

Charles Farber ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Age Groups ◽

Age Group ◽

First Line ◽

Advisory Committees ◽

First Line Therapy ◽

Line Therapy ◽

Ecog Ps ◽

Group 1

Abstract Abstract 2864 Introduction: Clinical trials have illuminated a number of unique treatment strategies for patients with CLL. The impact of these strategies on routine practice remains unknown as trial participants may not reflect the same population encountered outside of a clinical trial setting. Many questions remain regarding the sequencing of therapies based on age and performance status. By characterizing current patterns of care; patients, treating physicians, and regulatory agencies will be able to understand the current landscape of CLL treatment. The Connect® CLL registry was designed to report the natural history and real world management of patients receiving therapy for CLL. In this first report, we characterize the therapeutic approaches used for the treatment of patients with CLL of different age groups (i.e. < 65 years, 65–75 years, and ≥ 75 years) and with an ECOG PS status score of 0 compared to 1 or greater. Methods: Connect® CLL is a prospective, longitudinal, observational, multi-center registry conducted in community and academic research centers in the United States. At present, 237 sites are actively participating with a projected study enrollment of 1500 patients. Eligible patients are to be enrolled within 2 months of being initiated on any line of therapy; whether initial therapy or salvage therapy. Each patient will be followed for up to 60 months. Clinical data, physician choices, patient-reported health-related quality of life, response and survival are to be collected approximately every 3 months during participation. Results: A total of 607 patients have been enrolled (4% from academic sites) with a median age of 70 years. 198 were < 65 years old (age group 1), 187 were between 65–75 years old (age group 2), and 222 were ≥ 75 years old (age group 3). ECOG status varied across the three age groups, with an ECOG status score of ≥ 1 for 39%, 52%, and 70% of patients respectively. Treatment patterns varied across the age groups and by ECOG status in the 496 patients reporting therapies. The most commonly recorded first-line regimens independent of age included fludarabine (F) cyclophosphamide (C) and rituximab (R) (33%), bendamustine (B) +/− R (19%), F +/− R (15%), or investigational therapy (15%). For second-line regimens and beyond, the most frequently recorded regimen was B +/− R (30%), FCR (23%), other F-based regimens (13%), or investigational therapy (8%). The use of FCR for first-line treatment decreased significantly with increasing age group, (45%, 32%, 20%, for age group 1, 2, 3 respectively, p=0.04, spearman correlation) while use of F +/− R remained level across the age groups (14%, 15%, 15%, respectively). Compared to age group 1, first-line therapy with B +/− R in age groups 2 and 3 (15%, 22%, 21%, respectively) was higher but did not achieve statistical significance. B +/− R represented the most common treatment for all age groups (37%, 26%, 29%, respectively) as second line therapy but did not vary by age (P=0.35). The use of chlorambucil was infrequent in all age groups, but was more common in age group 3 patients compared to the others (P=0.01), in both first-line (2%, 4%, 12%, respectively) and subsequent lines of therapy (0%, 1%, 8%, respectively). Treatment assignments did not vary by ECOG PS score for patients in age group 1. First-line therapy for patients with an ECOG PS score of 0 in age groups 2 and 3 consisted of FCR (32% and 15%, respectively), F +/− R (19% and 15%, respectively), B +/− R (16% and 15%, respectively), and alkylating agents (3% and 23%, respectively). Patients in age groups 2 and 3 with ECOG PS score ≥ 1 received B +/− R regimen (33% and 22%, respectively), FCR (23% and 21%, respectively), F +/− R (14% and 10%, respectively) and alkylating agents (7% and 9%, respectively) as first-line therapy. Further description and clarification on the various treatment regimens based on the three age groups and by ECOG PS score will be presented at the meeting. Conclusion: The Connect® CLL Registry is the largest prospective, multicenter registry in the United States evaluating management for patients with CLL. With the currently available data, we characterize the extent to which age and performance status are associated with treatment selection in both first-line and subsequent lines of therapy in routine practice. As enrollment increases and additional follow-up is completed, the data will provide more extensive and real world overview of the current treatment strategies used in CLL patients. Disclosures: Sharman: Celgene - consulting: Consultancy; Pharmacyclics: Honoraria; Calistoga: Honoraria; Portola pharmaceuticals: Consultancy. Flowers:Consultancy: Celgene, Prescription Solutions, Spectrum (future), Seattle Genetics, Millennium (future), Genentech (unpaid): Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weiss:Celgene: Consultancy. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kay:Genenetech, Celgene, Hospira,: Research Funding. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Research Funding; Amgen: Research Funding. Lamanna:Celgene Corporation: Advisory board. Pashos:United BioSource Corporation: Research Funding. Flinn:Celgene: Research Funding. Kozloff:Celgene: Consultancy. Lerner:Celgene Connect: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene: Employment. Sullivan:Celgene: Employment. Street:Celgene: Employment. Keating:Celgene Connect: Membership on an entity's Board of Directors or advisory committees.

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Frontline Brentuximab Vedotin As Monotherapy or in Combination for Older Hodgkin Lymphoma Patients

Blood ◽

10.1182/blood-2020-136583 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 18-19

Author(s):

Christopher A. Yasenchak ◽

Rodolfo Bordoni ◽

Dipti Patel-Donnelly ◽

Timothy Larson ◽

Jerome Goldschmidt ◽

...

Keyword(s):

Board Of Directors ◽

Hodgkin Lymphoma ◽

Older Patients ◽

Research Funding ◽

Brentuximab Vedotin ◽

Disease Stage ◽

Publicly Traded ◽

Advisory Committees ◽

Meaningful Improvement ◽

Part C

Introduction: Older patients with classical Hodgkin lymphoma (cHL) have poor outcomes relative to younger patients, often due to comorbidities and toxicities related to standard first-line (1L) chemotherapy (5-yr PFS: 30%-45% vs 75%-80%) (Evens 2008; Proctor 2009). Brentuximab vedotin (BV), a CD30-directed antibody-drug conjugate, has robust activity in patients refractory to several lines of chemotherapy. Methods: This phase 2, open-label study, SGN35-015 (NCT01716806), evaluated efficacy and tolerability of BV alone or combined with single-agents in treatment-naive cHL patients ≥60 yr. The full-analysis set (FAS) includes all patients who received BV (1.8 mg/kg IV). Patients in Part A received BV monotherapy on Day 1 of every 3-week cycle (n=26); Part B: BV+dacarbazine (DTIC; 375 mg/m2; n=19); Part C: BV+bendamustine (benda; 70 mg/m2; n=20); and Part D: BV+nivolumab (nivo; 3 mg/kg; n=20). The efficacy evaluable (EE) set includes FAS who had at least 1 post-baseline response assessment (n=25, 19, 17, 19). Results: Demographic characteristics were generally similar: median age 78, 69, 75, and 72 yr in Parts A, B, C, and D, respectively, and 62% of patients (range 45%-70%) reported impaired physical functioning at baseline. Most patients had disease stage III/IV (62%, 68%, 75%, 80%), were ECOG 0/1 (77%, 74%, 80%, 95%), and male (54%, 68%, 50%, 75%). Median time from diagnosis was 1.2 to 1.5 mo (FAS; 10 Jan 2020 data cutoff). ORR were high (92% [95% CI: 74%, 99%], 100% [95% CI: 82.4%, 100%], 100% [95% CI: 80.5%, 100%], 95% [95% CI: 74%, 99.9%]) at a median follow-up of 59.4, 58.6, 51.3, and 19.4 mo in the EE data set. Median PFS in the EE set was 10.5 mo (95% CI: 5.6, 77.5) with monotherapy and 46.8 mo (95% CI: 11.0, 68.7), 40.3 mo (95% CI: 4.8, NR), and not reached (95% CI: 9.4, NR) in the combination parts. Median OS in the FAS set was 77.5 mo (95% CI: 40.1, NR) with monotherapy; 64.0 (95% CI: 53.4, NR), 46.9 (95% CI: 6.8, NR), and not reached (95% CI: NR, NR) in the combination parts. Treatment-related adverse event (AE) ≥ Grade 3 occurred in 50%, 37%, 70%, and 60% of patients; peripheral neuropathy (PN) was most common (35%, 26%, 20%, 35%). Treatment-related serious AEs occurred in 12%, 11%, 40%, and 5% of patients. Part C enrollment (BV+benda) closed early due to multiple acute toxicities. There were no treatment-related deaths in any part of the study. The median treatment cycles per patient were 8.0, 12.0, 5.0, and 14.5. Treatment discontinuation due to related AEs occurred in 42%, 42%, 40%, and 30% of patients, most commonly due to PN (38%, 37%, 30%, 20%). Conclusions: Older patients with cHL and multiple comorbidities have very high response rates and a clinically meaningful improvement in PFS with BV as monotherapy or combined with other single agents and improved tolerability versus combination chemotherapy. Median overall survival exceeded 6 yrs with BV monotherapy. BV+nivo or BV+DTIC appeared to be the most reasonable combination treatment options in this study. Disclosures Yasenchak: BeiGene: Speakers Bureau; Seattle Genetics: Honoraria, Research Funding; Takeda: Honoraria. Bordoni:Takeda: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Guardant Health: Honoraria, Speakers Bureau; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Patents & Royalties; Northside Hospital Cancer Institute: Other: Uncompensated relationship; Practice Point Communications: Other: Uncompensated relationship; Foundation Medicine: Membership on an entity's Board of Directors or advisory committees; Genentech: Honoraria, Speakers Bureau; G1 Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Patel-Donnelly:Gilead: Research Funding; Boston Biomedical: Research Funding; Roche: Research Funding; LAM Therapeutics: Research Funding. Goldschmidt:Amgen: Consultancy; Bristol-Myers Squibb: Speakers Bureau; Blue Ridge Cancer Care: Current Employment. Boccia:Rigel: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Incyte: Consultancy, Honoraria, Research Funding, Speakers Bureau; Genentech: Consultancy, Honoraria, Research Funding, Speakers Bureau; Daiichi Sankyo: Consultancy, Honoraria, Research Funding, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Cline:Pfizer: Honoraria; Reflexion Medical: Consultancy, Other: Travel expenses; Texas Oncology: Current Employment. Sacchi:Bristol-Myers Squibb Company: Current Employment. Forero-Torres:Seattle Genetics, Inc.: Current Employment, Current equity holder in publicly-traded company. Sims:Seattle Genetics, Inc.: Current Employment, Current equity holder in publicly-traded company, Other: Travel expenses. Liu:Seattle Genetics, Inc.: Current Employment, Current equity holder in publicly-traded company. Friedberg:Roche: Other: Travel expenses; Portola Pharmaceuticals: Consultancy; Bayer: Consultancy; Astellas: Consultancy; Acerta Pharma - A member of the AstraZeneca Group, Bayer HealthCare Pharmaceuticals.: Other; Kite Pharmaceuticals: Research Funding; Seattle Genetics: Research Funding.

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