Kharfan‐Dabaja, Mohamed A.

SummaryOptimal donor choice for a second allogeneic haematopoietic cell transplant (allo‐HCT) in relapsed acute myeloid leukaemia (AML) remains unknown. We compared overall survival (OS) using registry data from the Acute Leukemia Working Party (ALWP) of the European Society for Blood and Marrow Transplantation (EBMT) involving 455 adults who received a second allo‐HCT from a human leucocyte antigen (HLA)‐matched unrelated (MUD) (n = 320) or a haploidentical (n = 135) donor. Eligibility criteria required adults aged ≥18 years who received a second allo‐HCT for treating AML relapse between 2005 and 2019. The primary end‐point was OS. There was no statistically significant difference in the median (interquartile range) age between the groups, MUD 46 (35–58) versus haploidentical 44 (33–53) years (P = 0·07). The median OS was not different between the MUD and the haploidentical groups (10 vs. 11 months, P = 0·57). Similarly, the 2‐year OS was 31% for the MUD and 29% for the haploidentical donor groups. The OS was worse if the procedure was performed with active AML [hazard ratio (HR) 1·42, 95% confidence interval (CI) 1·07–1·89; P = 0·02]. Conversely, a longer time from first allo‐HCT to relapse (>13·2 months) was associated with better OS (HR 0·50, 95% CI 0·37–0·69; P < 0·0001). The results of the present analysis limit the ability to recommend one donor type over another when considering a second allo‐HCT for relapsed AML. Our findings highlight that best OS is achieved when receiving the second allo‐HCT in complete remission.

AbstractIntroductionHypoalbuminemia is a known adverse prognostic factor in lymphomas. Yet, it is unknown if axicabtagene ciloleucel (axi‐cel) overcomes the adverse prognostic impact of hypoalbuminemia in relapsed/refractory large B‐cell lymphoma.MethodsWe conducted a retrospective analysis across three Mayo Clinic centers to assess the relationship of hypoalbuminemia (defined as a serum albumin (SA) levels ≤ 3.5 g/dL) on outcomes of patients treated with axi‐cel.ResultsThis analysis included 81 patients. Two patients had no available SA levels preceding axi‐cel infusion. Eighteen patients (22.8%) had hypoalbuminemia with a median SA of 3.3 g/dL. Patients with normal SA had a statistically higher ORR than those without hypoalbuminemia (P = .018). There was no difference in 1‐year PFS and OS between the group with hypoalbuminemia and the group with normal SA levels (48% vs 49%, P = .81) and (74% vs 73%, P = .97), respectively. There was no difference in the severity or median duration of cytokine release syndrome or neurotoxicity between the two groups.ConclusionNotwithstanding the limitations related to the relatively small sample size, axi‐cel therapy appears to overcome the adverse effect of hypoalbuminemia on OS and PFS. Large multicenter clinical studies are certainly needed to validate these findings.

Background: Elevated serum ferritin (SF) is common in patients with myelofibrosis (MF) given the frequent red-cell transfusion requirements and impaired iron metabolism. The dysregulation of iron metabolism is associated with increased hepcidin levels which predict for inferior survival in patients with MF (Pardanani et al AJH 2013). High pre-transplant SF negatively impacts overall survival and non-relapse mortality in patients undergoing allogeneic hematopoietic cell transplantation (allo-HCT) for hematological malignancies (Chee et al BMT 2017 & Yan et al 2018). However, the impact of elevated pre-transplant SF specifically on post-alloHCT outcomes has not been described in MF. Methods: We conducted a retrospective study of patients with MF undergoing allo-HCT at Mayo clinic Rochester, Arizona, and Florida from January 1st 2012 - December 31st 2019. We abstracted demographic and outcome variables to evaluate the impact of pre-transplant ferritin levels on post-transplant outcomes. We used a Receiver Operand Characteristic Curve to identify a pre-transplant serum ferritin (SF) of ≥ 1,123 ng/mL as the cutoff which best correlated with poor survival. Results: We identified 67 patients with MF who underwent allo-HCT during the study period with readily available data. Patients with a pre-transplant ferritin ≥ 1,123 ng/mL (n=18) had a median age of 59.4 years and were predominantly male (n=9, 50%) with primary myelofibrosis (n=12, 67%), had a DIPSS-plus int-2 (n=10, 56%) and high (n=6, 33%) risk categories and received a reduced-intensity conditioning (n=14, 78%) from a matched-unrelated donor (n=7, 50%) Table1. Patients with SF ≥ 1,123 ng/mL had a worse overall survival (OS) (median OS= 12.64 months [95%CI=6.08-19.20 months] vs. not-reached (NR) p=0.001). Patients with elevated SF had an increased non-relapse mortality (NRM) rate at 6 months (16.7%, [95%CI=0.4-37.2%]) vs 8.2%,[95%CI= 2.6-18.1%] p=0.021) and 12 months (33.3% [95%CI=13.0-55.4%] vs 10.4% [95%CI=3.8-21.0%] p=0.021) Patients with ≥ 1,123 ng/mL SF had a non-statistically significant higher rate of acute graft-vs-host disease grades 3-4 (28% vs 12.2% p=0.13) but similar rates of moderate to severe chronic graft-vs-host disease (31% vs 28% p=0.78). In the univariate analysis, SF ≥1,123 ng/mL and a Hematopoietic stem cell transplant comorbidity index (HCT-CI) ≥3 were associated with an increased risk of mortality (Hazard ratio [HR]=4.18 [95%CI=1.64-10.62] p=0.003] and HR=4.42 [95%CI=1.70-11.46] p=0.003, respectively). Both retained significance in multivariate analysis SF ≥1,123 ng/mL (HR= 2.80 [95%CI= 1.0-7.6], p=0.04)] and HCT-CI score ≥ 3 (HR 3.10 [95%CI= 1.12-8.62, p=0.03]) after adjusting for age, DIPSS-plus score, conditioning regimen intensity, donor type, CMV risk, prior use of ruxolitinib, and ABO mismatch. We grouped the patients into low, intermediate and high risk categories using SF level and HCT-CI scores as detailed in Figure 1. The risk category based on SF and HCT-CI was statistically significant in impacting OS and NRM in this cohort. The 12 month OS rate was lower in the high risk category (44.4% [95%CI= 13.6%-71.9%]) when compared to the intermediate (64.6%, [95%CI=39.7%-81.3%]) and low risk (91.9%, [95%CI= 76.9%-97.3%], p=0.0002) categories. Similarly, the 12 month NRM rate was higher in the high risk category (44.4%, [95%CI=11.0%-74.2%]) when compared to the intermediate (25%, [95%CI=8.7%-45.5%]) and low risk (5.3% [95%CI=0.9%-15.9%], p=0.0046) categories. Conclusion: In patients undergoing allogeneic SCT for myelofibrosis, serum ferritin ≥ 1,123 ng/mL is a predictor of high NRM and inferior OS. Combining ferritin serum levels with HCT-CI may help in better patient selection for allo-HCT in MF population. Larger patient cohort is warranted to confirm our findings. Disclosures Kharfan-Dabaja: Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy. Shah:Dren Bio: Consultancy.

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 &gt;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&gt; 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&lt;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 &lt; 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 &lt; 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.

Background: Chimeric Antigen Receptor (CAR) T-cell therapy has changed the treatment landscape for patients with Non-Hodgkin Lymphoma (NHL). Despite the excellent responses in relapsed or refractory (R/R) aggressive NHL (aNHL), the outcome of patients (pts) that fail CAR T-cell therapy remains poor, and there is not a clear path for management of their disease. Methods: We conducted a retrospective analysis of aNHL pts treated with axicabtagene ciloleucel (axi-cel) at the Mayo Clinic campuses in Arizona and Florida between June 2018 and August 2020. We evaluated the predisposing factors, management, toxicities, and response after CAR T-cell therapy failure. Statistical calculations using parametric tests were performed, and survival curves were estimated using the Kaplan-Meier method and compared statistically using the log-rank test and Pearson's correlation. Results: Thirty-four pts with aNHL received axi-cel. The median age was 53 years [IQR 42-63], and 62% were male. All pts received inpatient axi-cel infusions and the median length of hospital stay was 14 days (IQR: 11-17). Cytokine Release Syndrome (CRS) was observed in 91% of pts (3% grade ≥3), while Immune Effector Cell Associated Neurotoxicity Syndrome (ICANS) was observed in 41% (24% grade ≥3). At day 30 response assessment, 16 pts (47%) had complete responses (CR), 9 (26%) had a partial response (PR), 4 (12%) had stable disease (SD), 4 (12%) showed progression with primary refractory disease (PD) and 1 (3%) died before assessment due to grade 5 ICANS (Table 1). After a median follow-up of 178 days, we observed PD in 12 (35%) pts. The median time-to-progression was 72 days (IQR 58-93) and most of the pts (83%) progressed during the first 3 months. None of the patients with more than 5 months of sustained response developed progression of disease. The likelihood of progression during the first 6 months after axi-cel infusion was 19%, 57%, 50% for pts that initially achieved a CR, PR, SD, respectively. Expression of CD19 was observed in 66% (4/6) of pts with available biopsies after axi-cel suggesting a failure mechanism other than antigen escape. The mortality rate of the R/R aNHL group was 58% with a median survival time of 83 days (IQR: 50-109). There was no association between age, stage, number of previous therapies, time from previous therapy to axi-cel infusion, time from apheresis to infusion, use of tocilizumab, or steroids with progression of disease. Of note, no correlation between CRS or ICANS with progression of disease was found (2-way ANOVA test F (1, 4) = 3.802, p=0.1230). Maintaining a response to axi-cel treatment (CR, PR, or SD) for ≥ 3 months was a strong predictor of durable response with an HR of 0.05 (p= &lt;0.0001). Eleven R/R pts received subsequent therapies with a median time to retreatment of 76 days. Those treatments included: Radiotherapy (n=7), pembrolizumab (n=3), polatuzumab-rituximab with (n=3) and without (n=1) bendamustine, obinutuzumab with (n=1) or without (n=1) lenalidomide, Hyper-CVAD (n=2), R-GemOx (n=1), rituximab with lenalidomide (n=1) and intrathecal methotrexate (n=1). Only 2 (17%) patients have responded to salvage therapy achieving PR (one patient treated with radiotherapy and the other with rituximab-lenalidomide after two other salvage therapies). Conclusion: Our experience demonstrates the majority of aNHL patients respond to axi-cel. If patients maintain their response for more than 3 months, the likelihood of progression is very low - 15%. Similar to what has been previously reported in the literature, our series showed that 35% of patients progressed after axi-cel, and subsequently have a poor prognosis with median survival after a relapse of only 83 days (IQR: 50-109). Therapy options following axi-cel were limited due to severe cytopenias, only 2 of 11 patients have responded to salvage therapy, suggesting that conventional treatments are probably not effective/safe in this high-risk group of patients. Interestingly, the majority of R/R pts with available biopsies showed persistent CD19 expression suggesting that CAR T-cell exhaustion, poor in vivo expansion, and inhibitory signals of the tumor microenvironment may contribute to resistance. Additional strategies for monitoring of axi-cel persistence and its immunophenotypic profile could be helpful for prognosis and management of CAR T-cell pts receiving axi-cel. Disclosures Kharfan-Dabaja: Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy. Castro:Fate Therapeutics: Research Funding; Kite Pharma: Research Funding; Pharmacyclics: Research Funding.

Introduction The molecular basis for the clinical heterogeneity observed in DLBCL was initially elucidated with gene expression profiling, identifying three distinct subgroups with prognostic relevance based on COO namely activated B-cell like (ABC), germinal center B-cell like (GCB) and a type 3 subtype. Shortly afterwards the Han's algorithm was developed allowing for widespread applicability and correlation of gene expression with protein expression. GCB profile at diagnosis is generally associated with superior long term outcomes compared to non-GCB in patients treated with conventional chemo-immunotherapy. Patients with relapsed/refractory disease (R/R) after front-line therapy undergo salvage treatment and, upon demonstration of objective response, proceed with high dose therapy and autologous transplantation (auto-HCT). Whether COO by Han's algorithm retains its prognostic significance post auto-HCT in patients with R/R DLBCL is not well established. Methods A retrospective analysis was carried out using the Mayo database across all three sites. It included all patients between 18-75 years of age who were diagnosed with de-novo DLBCL and underwent first auto-HCT for R/R disease. Patients must have received salvage treatment and shown chemotherapy sensitive disease. Patients with transformed DLBCL or other variants and those who underwent auto-HCT in first complete remission for high risk disease were excluded. Patients who had less than a partial response at time of transplantation and still underwent auto-HCT were also excluded. Primary endpoints included overall survival (OS); relapse and relapse-free survival (RFS). Continuous variables were summarized as mean (standard deviation) and median (range). Categorical variables were reported as frequency (percentage). Continuous baseline variables were compared between GCB and non-GCB using Wilcoxon rank sum test and categorical baseline variables were compared with Chi-squared test. Kaplan-Meier method was used to estimate 5 and 10-year rates of freedom from long-term events and draw corresponding survival curves. Multivariate Cox regression models were used to evaluate the impact of cell of origin on long-term survival after adjusting for baseline factors. All tests were two-sided with alpha level set at 0.05 for statistical significance. Results A total of 357 patients underwent auto-HCT between 2005 and 2018. Cell of origin was determined for 284 patients and these were included in the analysis. Median age was 61 (range: 19-78) years, and 64% patients were male. GCB and non-GCB patients did not differ significantly with regards to baseline factors (Table 1). During a median follow up of 1.7 years, 139 patients died, 151 had relapse and 175 either died or had relapse. Five year OS for GCB patients versus (vs) non-GCB was at 44% vs 64% (p=0.004) (Figure 1); relapse was at 67% vs 49% (p=0.012) and RFS was at 28% vs 50% (p=0.003). The difference between GCB and non-GCB groups remained statistically significant in multivariate analysis, with GCB patients 60% more likely to die and 50% more likely to experience relapse compared to non-GCB patients. The only other factor that retained significance in multivariate analysis for both endpoints was response at the time of transplant (Table 2A-C). Conclusions In this analysis, GCB DLBCL results in worse OS and higher relapse vs. non-GCB DLBCL following an auto-HCT. It is unclear if relapse/progression of GCB subtype after front-line therapy alters its natural history into a more aggressive disease. Disclosures Ansell: Trillium: Research Funding; ADC Therapeutics: Research Funding; Affimed: Research Funding; Bristol Myers Squibb: Research Funding; AI Therapeutics: Research Funding; Takeda: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding. Foran:Xencor: Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Boehringer Ingelheim: Research Funding; Abbvie: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Revolution Medicine: Consultancy; H3Biosciences: Research Funding; Agios: Honoraria, Research Funding. Tun:Celgene: Research Funding; Mundipharma: Research Funding; Curis: Research Funding; TG Therapeutics: Research Funding; Acrotech: Research Funding; DTRM Biopharma: Research Funding; Bristol-Myers Squibb: Research Funding. Kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare hematologic malignancy with dismal clinical outcomes. Conventional chemotherapies were previously shown to have some clinical efficacy, however, long-term outcomes of BPDCN patients remain poor. In a recent clinical trial, SL-401 demonstrated an overall response rate (ORR) of 90% in previously untreated BPDCN patients. Despite promising outcomes observed in SL-401 studies, there remains a lack of data regarding the optimal first-line therapy. In this single institution retrospective study, we explored the survival outcomes based on front-line treatment and allogeneic stem cell transplant (allo-SCT). A total of 49 patients with confirmed diagnosis of BPDCN were included in the study. Median age at diagnosis was 71.4 (32.0-91.4) years with a male predominance (82%). Among these, 11 (22%) patients had concurrent hematologic neoplasms at the time of BPDCN diagnosis. The most common site of disease involvement was skin (n=42, 86%) followed by bone marrow (BM) (n=32, 65%), lymph node (LN) (n=13, 27%), and nasopharynx (n=2, 4%) with 14 (29%) and 5 (10%) patients having skin and BM involvement only, respectively. Of note, 17 (35%) patients had both skin and BM disease and 8 (16%) had simultaneous skin, BM, and LN involvement. In the front-line setting, CHOP-based regimens, hyper-CVAD, and SL-401 were used in 10 (20%), 11 (22%), and 12 (24%) patients, respectively. The median cycle number of SL-401 treatment was 6 (1-73). Allo-SCT was performed in 10 (20%) patients and 4 (8%) patients received autologous stem cell transplant (auto-SCT). Transplant was performed following first-line therapy in 11 patients (CR, n=10; PR, n=1) and second-line therapy in 3 patients (CR, n=3). Among 21 vs. 12 patients who received chemotherapy vs. SL-401 as their first-line therapy, a total of 11 (52%) and 3 (25%) patients underwent transplant. A total of 23 (55%), 13 (31%), and 6 (14%) patients achieved a complete response (CR), partial response (PR), and progressive disease (PD), respectively. CR rate was higher in patients who were treated with hyper-CVAD compared to others, however, it was not statistically significant (50% in CHOP-based regimens vs. 91% in hyper-CVAD, P=0.064; 50% in SL-401 vs. 91% in hyper-CVAD, P=0.069). The median PFS was 9.9 months and the median OS was not reached when all patients were included for the analyses. In the subgroup analyses, patients who were treated with hyper-CVAD had longest PFS compared to patients treated with CHOP-based regimens (HR=0.217, 95%CI=0.050-0.933, P=0.003) or SL-401 (HR=0.385, 95%CI=0.126-1.179, P=0.075) although the PFS difference between hyper-CVAD and SL-401 did not reach the statistical significance. There was no PFS difference between SL-401 and CHOP-based regimen treated groups (HR=0.931, 95%CI=0.321-2.70, P=0.894). In the OS analysis based on first-line therapy, there was no difference between patients treated with SL-401 compared to patients treated with chemotherapy regimens (HR=1.597, 95%CI=0.460-5.548, P=0.431). Further, there was no OS difference between individual types of front-line therapies (P=0.678). In contrast, patients who received allo-SCT showed significantly longer OS outcomes compared to patients with no transplant (HR=0.160, 95%CI=0.0453-0.56, P=0.041). Additional OS analyses based on age (&lt;60 vs. ≥60) (HR=0.481, 95%CI=0.146-1.582, P=0.258), ASXL1 mutation (HR=1.705, 95%CI=0.2773-10.48, P=0.5649), or presence of previous or concurrent hematologic malignancy (HR=2.97, 95%CI=0.65-13.57, P=0.1602) did not show any statistical difference. In a multivariate Cox model (adjusting for age, front-line therapy, gender, and transplant) allo-SCT was significant factor for OS (HR=0.137, 95%CI=0.020-0.959, P=0.045). In conclusion, our study supports current recommendations of using SL-401 or hyper-CVAD as the first-line treatments followed by consolidation with allo-SCT in the eligible responders to induction therapy to further improve survival outcomes in BPDCN patients. Disclosures Lancet: Abbvie: Consultancy; Agios Pharmaceuticals: Consultancy, Honoraria; Astellas Pharma: Consultancy; Celgene: Consultancy, Research Funding; Daiichi Sankyo: Consultancy; ElevateBio Management: Consultancy; Jazz Pharmaceuticals: Consultancy; Pfizer: Consultancy. kharfan-Dabaja:Daiichi Sankyo: Consultancy; Pharmacyclics: Consultancy. Sokol:Kyowa/Kirin Inc.: Membership on an entity's Board of Directors or advisory committees; EUSA Pharma: Consultancy, Honoraria, Speakers Bureau; Kymera Therapeutics: Membership on an entity's Board of Directors or advisory committees.

AbstractWe studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008–2017 to develop a prognostic model to predict outcomes. High‐risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high‐risk cytogenetics [hazard ratio, (HR) 1·68 (1·3–2·17)] and pre‐AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33–2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07–1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three‐category system with low risk (0–3), intermediate risk (4–8) and high risk (9–10) showed 3‐year progression‐free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52–63) vs. 49% (95% CI: 43–56) vs. 31% (95% CI: 12–51), P < 0.001 respectively, and 3‐year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84–91) vs. 81% (95% CI: 76–86) vs. 64% (95% CI: 39–80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.

BackgroundMultiple myeloma (MM) with the translocation t(11;14) may have inferior outcomes in comparison with other standard‐risk MM, and it has been suggested to portend a worse prognosis in African Americans in comparison with Whites. This study used the Center for International Blood and Marrow Transplant Research (CIBMTR) database to examine the impact of t(11;14) on the clinical outcomes of patients with MM of African American and White descent.MethodsThis study evaluated 3538 patients who underwent autologous hematopoietic cell transplantation (autoHCT) for MM from 2008 to 2016 and were reported to the CIBMTR. Patients were analyzed in 4 groups: African Americans with t(11;14) (n = 117), African Americans without t(11;14) (n = 968), Whites with t(11;14) (n = 266), and Whites without t(11;14) (n = 2187).ResultsAfrican Americans with t(11;14) were younger, had lower Karnofsky scores, and had more advanced stage MM with a higher Hematopoietic Cell Transplantation–Comorbidity Index (HCT‐CI). Fewer African Americans with t(11;14) (21%) had a coexistent high‐risk marker in comparison with Whites with t(11;14) (27%). In a multivariate analysis, race and t(11;14) had no association with progression‐free survival. However, overall survival was superior among African Americans with t(11;14) in comparison with Whites with t(11;14) (hazard ratio, 0.53; 95% confidence interval, 0.30‐0.93; P = .03). Survival was also associated with female sex, stage, time from diagnosis to transplant, a low HCT‐CI, and receipt of maintenance.ConclusionsRace may have a differential impact on the survival of patients with t(11;14) MM who undergo autoHCT and needs to be further studied.