Sauter, Craig S.

Introduction T-cell prolymphocytic leukemia (T-PLL) is a rare and aggressive malignancy with limited treatment options, frequent relapse, and poor long-term survival. Allogeneic hematopoietic cell transplantation (allo-HCT) is reported to be effective in T-PLL yielding durable remissions and improved survival. Rates of survival and non-relapse mortality vary; data is scant and limited to small retrospective series. Whether regimen intensity - a modifiable factor- is associated with outcomes is unknown. Here, we report an analysis of patients with T-PLL undergoing allo-HCT in 87 centers using data reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). Methods A retrospective multicenter study was conducted utilizing the CIBMTR dataset, which captures all consecutive patients transplanted in participating centers. The study population included patients aged 18 or older with T-PLL who underwent allo-HCT between 2008 and 2018. All donor types, graft sources, and conditioning intensities are summarized (Table 1). Cox regression analysis was used to assess overall mortality, treatment-related mortality (TRM), relapse or progression, disease-free survival (DFS) and acute and chronic graft-versus-host disease (GVHD). Due to the strong correlation between regimen intensity and patients' age, a combined variable was constructed, and in all models, interactions between age/regimen and significant covariates were examined. Results A total of 266 pts were identified and included in this analysis (Table 1). Median follow up of survivors was 49 months (range 3-117); the completeness of survival data out to four years was 95%. In univariate analysis, the 4-year overall survival (OS) rate was 30% (95% confidence interval [CI]: 23.8-36.5%). The 4-year DFS, relapse, TRM rates were 25.72% (95%CI: 20-32%), 41.9% (95%CI: 35.5-48.4%), and 32.4% (95%CI: 26.4-38.6%), respectively. Cumulative incidences of grade 2-4 acute GVHD at day +180 and chronic GVHD at 1-year were 22.5%% (95%CI: 16.8- 28.9%) and 38.3% (95%CI: 32.9-44.9%), respectively. Multivariate analyses was performed using age (Age >60 vs Age ≤60) and conditioning intensity (myeloablative [MAC] vs. reduced intensity/non-myeloablative [RIC/NMA]) as main effect (Table 2). Poor performance status was associated with inferior TRM, DFS and OS. Compared to MAC/Age ≤ 60, RIC/NMA/Age≤ 60 correlated significantly with less TRM (hazard ratio [HR] 0.28, 95% CI 0.14-0.55, p= 0.0022, superior DFS [HR 0.53, 95% CI 0.35-0.81, p= 0.0029; (Figure 3) and OS HR 0.49, 95% CI 0.32-0.75, p= 0.0009; (Figure 2). Similar trend was observed for RIC/NMA/ Age> 60 for all 3 outcomes but did not reach statistical significance. Remission status at time of allo-HCT (stable disease or progression vs. complete remission) correlated with relapse (hazard ratio [HR] of relapse=2.13, 95%CI 1.23-3.71, p=0.0072), however degree of response (partial response vs. complete remission did not significantly correlate with relapse (HR of relapse=1.41, 95%CI 0.91-2.17, p=0.1257). In vivo T cell depletion with ATG (N=47) or alemtuzumab (N=2) was associated with worse TRM [HR 1.82, 95% CI 1.08-3.08, p= 0.0255] and inferior DFS [HR of death or progression=HR 1.50, 95% CI 1.05-2.15, p= 0.0276]. The most common cause of death was disease relapse (52%) followed by infection (15%) and GVHD (13%). Conclusion This CIBMTR study, with the largest cohort of allo-HCT in T-PLL to date, demonstrates allo-HCT is effective in providing durable remissions. MAC and poor performance status were predictive of inferior TRM and OS. Disease relapse was most common cause of death, and pre-allo-HCT remission inversely correlated with relapse rate. The data suggest that reduced intensity conditioning and avoidance of post-transplant ATG/alemtuzumab may be beneficial. Novel strategies are needed both pre and post-allo-HCT to further improve outcomes. Disclosures Dholaria: J&J: Research Funding; bms: Research Funding; Takeda: Research Funding; Poseida: Research Funding; Angiocrine: Research Funding. Jagadeesh:Verastem: Membership on an entity's Board of Directors or advisory committees; Debiopharm Group: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; MEI Pharma: Research Funding; Regeneron: Research Funding. Oran:Celgene: Consultancy; ASTEX: Research Funding; Arog Pharmaceuticals: Research Funding. Nakamura:Viracor: Consultancy; Celgene: Other: Support on seminar; Magenta Therapeutics: Other: Advisory board meeting; NapaJen Pharma: Consultancy; Alexion: Other: Support on a meeting presentation; Merck: Other: advisory board meeting; Kadmon Corporation: Other: Advisory board meeting; Kyowa-Kirin: Other: Support on a meeting presentation. Sauter:Spectrum Pharamaceuticals: Consultancy; Sanofi-Genzyme: Consultancy, Research Funding; Gamida Cell: Consultancy; Novartis: Consultancy; Genmab: Consultancy; Precision Biosciences: Consultancy, Research Funding; Kite - a Gilead Company: Consultancy; Celgene: Consultancy, Research Funding; GSK: Consultancy; Bristol-Myers Squibb: Research Funding; Juno Therapeutics: Consultancy, Research Funding. kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy.

INTRODUCTION Primary DLBCL of the CNS (PCNSL) is a rare, extra-nodal non-Hodgkin lymphoma with high risk of relapse without consolidation therapies. AutoHCT has emerged as an accepted consolidation strategy, especially with increasing use of CNS penetrant chemotherapy agents in transplant conditioning. However, studies defining the optimal conditioning regimen for PCNSL have not been performed. The use of two common conditioning regimens in the U.S., thiotepa/busulfan/cyclophosphamide (TBC) and thiotepa/carmustine (TT-BCNU), is supported by phase II trials, but lack comparative data. Extrapolating experience from systemic lymphomas, BEAM (BCNU/etoposide/cytarabine/melphalan) is also prescribed for PCNSL in the U.S. Using the Center for International Blood & Marrow Transplant Research (CIBMTR) registry, we compared outcomes for PCNSL patients undergoing autoHCT using the three most commonly employed conditioning regimens: TBC vs. TT-BCNU vs. BEAM. METHODS Six hundred and eight adult PCNSL patients who underwent a first autoHCT between 2010-2018 were included. Conditioning regimens included TBC (n = 265), TT-BCNU (n = 278), and BEAM (n = 65). The primary endpoint was progression-free survival (PFS). Secondary endpoints included (a) time to hematopoietic recovery, (b) relapse/progression, (c) non-relapse mortality (NRM), and (d) overall survival (OS). Kaplan-Meier method was used to estimate probabilities of PFS and OS. Cox proportional hazard analysis was used to identify prognostic factors for relapse, NRM, PFS, and OS. Variables considered in regression model include patient age, sex, race, performance status, HCT-comorbidity index (HCT-CI), rituximab use during conditioning, interval between diagnosis and HCT, and remission status. Covariates with a p<0.05 were considered significant. RESULTS Baseline characteristics are presented in Table 1. The groups were comparable with regards to median patient age, gender, race, HCT-CI, and remission status. The cumulative incidences of neutrophil recovery at 1-month for the three conditioning regimens were: TBC 96% (95%CI 94-98%), TT-BCNU 100% (95%CI 98-100%), and BEAM 100% (95%CI 100%), (p < 0.001). The cumulative incidence rate of relapse for TBC, TT-BCNU, and BEAM at 1-year were 6% (95%CI 3-9%), 10% (95%CI 7-14%), and 23% (95%CI 14-35%), respectively (p = 0.003). The corresponding cumulative incidence rate of relapse at 3-years were 11% (95%CI 7-16%), 15% (95%CI 10-20%) and 37% (95%CI 25-50%) (p < 0.001) respectively. The adjusted NRM were higher for TBC: 100-day 7% (95%CI 4-10%) and 1-year 11% (95%CI 7-15%), compared to TT-BCNU: 100-day 2% (95%CI 0.2-3%) and 1-year 4% (95%CI 2-6%), and BEAM: 100-day 0% (95%CI 0%) and 1-year 4% (95%CI 0-9%) (1-year p=0.01). The 3-year adjusted PFS across the three conditioning regimens were: TBC 75% (95%CI 69-81%), TT-BCNU 76% (95%CI 70-82%), and BEAM 58% (95%CI 46-70%) (p = 0.03) [Figure 1a]. The adjusted OS at 3-years were: TBC 81% (95%CI 75-86%), TT-BCNU 78% (95%CI 72-85%) and BEAM 69% (95%CI 58-80%), (p = 0.17) [Figure 1b]. Relapse of primary disease was the most common cause of death in all three cohorts: TBC 38% (n=20), TT-BCNU 72% (n=33) and BEAM 76% (n=19). Other significant causes of death in the TBC group included infections 15% (n=8) and organ failure 21% (n=11). CONCLUSIONS In this CIBMTR analysis in patients with PCNSL, we found favorable outcomes with thiotepa-containing conditioning regimens. Adjusted 3-year PFS favored TBC and TT-BCNU over BEAM and suggest that use of BEAM should be discouraged in this specific setting. Whether TBC or TT-BCNU is the optimal conditioning regimen requires further inquiry in a prospective clinical trial. Disclosures Scordo: McKinsey & Company: Consultancy; Omeros Corporation: Consultancy; Kite - A Gilead Company: Other: Ad-hoc advisory board; Angiocrine Bioscience, Inc.: Consultancy, Research Funding. Kharfan-Dabaja:Pharmacyclics: Consultancy; Daiichi Sankyo: Consultancy. Herrera:Pharmacyclics: Research Funding; Karyopharm: Consultancy; Bristol Myers Squibb: Consultancy, Other: Travel, Accomodations, Expenses, Research Funding; Merck: Consultancy, Research Funding; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy, Research Funding; Gilead Sciences: Consultancy, Research Funding; AstraZeneca: Research Funding; Immune Design: Research Funding; Seattle Genetics: Consultancy, Research Funding. Hamadani:Janssen R&D; Incyte Corporation; ADC Therapeutics; Celgene Corporation; Pharmacyclics, Omeros, AbGenomics, Verastem, TeneoBio: Consultancy; Sanofi Genzyme, AstraZeneca: Speakers Bureau; Takeda Pharmaceutical Company; Spectrum Pharmaceuticals; Astellas Pharma: Research Funding; ADC Therapeutics: Membership on an entity's Board of Directors or advisory committees. Sauter:Sanofi-Genzyme: Consultancy, Research Funding; Spectrum Pharamaceuticals: Consultancy; Novartis: Consultancy; Genmab: Consultancy; Precision Biosciences: Consultancy, Research Funding; Kite - a Gilead Company: Consultancy; Celgene: Consultancy, Research Funding; Gamida Cell: Consultancy; GSK: Consultancy; Bristol-Myers Squibb: Research Funding; Juno Therapeutics: Consultancy, Research Funding.