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Introduction TP53 alterations (TP53+) are seen in <5% of patients (pts) with chronic myeloproliferative neoplasms (MPNs) but are more common in accelerated/blast phase (MPN-AP/BP) [Luque Paz D, et al 2020]. While pts with low-burden TP53+ (Variant allele frequency (VAF) <5%) may remain stable for years [Kubesova et al, 2018]; biallelic loss of TP53 is thought to confer higher risk for progression [Li et al, 2022] and worse overall survival (OS) than non-TP53+ pts [Rolles et al, 2023]. However, TP53 abnormalities have not been incorporated into currently utilized molecular based prediction models (MIPSS or MIPSS70) or compared with currently validated high molecular-risk (HMR) mutations (mut). We report the outcomes of the largest cohort of TP53+ MPN pts to date in comparison with HMR mut, and identify a VAF cut-off associated with highest risk of progression to MPN-AP/BP. Methods We retrospectively reviewed 2583 MPN pts from Mount Sinai Hospital (MSH) and Memorial Sloan Kettering Cancer Center (MSK) with at least one next generation sequencing (NGS) performed. Deidentified data from an additional cohort of 8 TP53+ MPN pts was received from University of Miami Sylvester Cancer Center (UMiami). Patient characteristics such as MPN subtype, gender, age at MPN diagnosis, driver mutation, thrombosis history were recorded. We also recorded date of transformation to MPN-AP/BP, dates of NGS testing, mutational and cytogenetic data, and survival status. We defined multi-hit TP53 as presence of =/>2 TP53mut, VAF > 50% or TP53 mutation + 17p deletion. Additional cohorts of pts with HMR mut (ASXL1, EZH2, IDH1/2, U2AF1, SRSF2 as per MIPSS70v.2) from MSH and non-TP53+ pts from the MPN-Research Consortium Tissue Bank were used as comparator arms. Patient characteristics were compared between TP53 single-hit and multi-hit using Chi-Sq test for categorical variables and Kruskal-Wallis test for continuous variables. Cumulative incidence function and Kaplan-Meier method were used to compare leukemic transformation and OS, respectively, between groups. Successive VAF levels with minimum groups of 25% of the total cohort were used to identify an optimal VAF cut-off. Results Of the 2583 MPN pts from MSH and MSK, 66 pts (2.6%) were found to have a TP53 mutation. Including 8 additional pts from UMiami, we analyzed a total of 74 TP53+ MPN pts; 40 single-hit and 34 multi-hit. Median age at MPN diagnosis was 61 years with a male predominance (60%). Distribution of driver mut was similar in single-hit vs multi-hit cohort with JAK2V617F being the most common (58%), whereas 11% of pts had triple negative disease . Thrombotic history was available for 45 TP53+ pts, with a high frequency of venous/arterial thrombosis (21/45 or 46.7%) in the TP53+ group as compared to 18.5% in the non-TP53+ MPN cohort (p= 0.0001). A significantly higher number of multi-hit TP53+ pts had a concurrent complex karyotype (79% vs 24% in single-hit; p<.001). MPN diagnosis at the time of detection of TP53+ was ET/PV (25.7%), MF (44.6%), MDS/MPN overlap syndrome (6.8%), MPN-U (2.7%) and MPN-AP/BP (20.3%), respectively. One or more genetic samples with TP53+ was available prior to transformation to MPN-AP/BP in 77% of pts (21/34 multi-hit; 36/40 single-hit) while a TP53+ was detected at the time of MPN-AP/BP diagnosis in the rest. Multi-hit TP53+ was associated with a significantly higher incidence of transformation to MPN-AP/BP as compared to single-hit; [65% vs 17.5%; HR=4.08 (1.71-9.71), p=0.0015]. Compared with HMR mut, multi-hit (HR=2.41; p=0.004) but not single-hit (HR=0.53; p=.277) TP53+ MPN pts were found to have a significantly increased risk of MPN-AP/BP transformation. One-year OS from the time of mutation detection was significantly inferior for both multi-hit (53.3%) and single-hit (75%) TP53+ pts as compared to HMR mut (98.8%, p=<.001). Cut-point analysis identified VAF >36% to be associated with the highest risk of transformation (HR=3.08) with lowest p-value (0.002). Conclusions Multi-hit TP53 alterations are associated with a significantly increased risk of leukemic evolution as compared to previously validated HMR mut, whereas both multi and single-hit TP53 mut are associated with worse OS highlighting the importance of TP53 in MPN disease progression.

DDX41 MT Germline Predisposition Syndrome (GPS) is the most common adult GPS for myeloid neoplasms (MN), including MDS and AML. Although there have been reports of non-myeloid neoplasms, particularly lymphoid malignancies, in DDX41MT-GPS, these occurrences are infrequent and poorly characterized. We carried out this study in a large cohort of DDX41MT-GPS patients to address this deficiency. Following IRB approval, we retrospectively analyzed our database of 174 patients with DDX41MT-GPS to determine the rates of non-myeloid malignancies. Our previous data revealed that certain DDX41MT genotypes classified as variants of uncertain significance (VUS) exhibit a similar phenotypic spectrum to those classified as pathogenic (Badar et al Hematologica). Consequently, we included all these variants in our analysis. The median age of the cohort was 68.6 yrs (range, 13-4-93.4); 66% (n=114) male, 93% (n=162) Caucasian, with a median follow-up of 1.4 yrs (range, 0.03-5.6) from DDX41MT-GPS detection. The cohort included 34 (19.5%) asymptomatic carriers, 17 (9.8%) with clonal hematopoiesis (CH) or clonal cytopenias (CCUS), and 123 (70.7%) with MN. Eighteen (10%) patients had a lymphoid neoplasm (78% male, 100% Caucasian), with a median age at lymphoid neoplasm diagnosis of 67.7 yrs (range, 12.2-85.9). The most common lymphoid neoplasm was chronic lymphocytic leukemia (CLL) seen in 2.3% (n=), followed by follicular lymphoma (FL) and acute lymphoblastic leukemia (ALL) present in 1.7% each (n=3; 1 T-ALL and 2 B-ALL: 1 Ph+ and1 Ph-like). Additionally, there was 1 patient each with monoclonal B cell lymphocytosis (MBL), Waldenstroms macroglobulinemia , peripheral T cell lymphoma , large granular lymphocytic leukemia, and marginal zone lymphoma. Germline genotypes were classified as pathogenic in 50% (n=9, D140Gfs*2 x2, K331del, M1I x3, M316Dfs*31, P258L, Y340N) and VUS in 50% (n=9, E426K, E69D, G313D, K184R, P206A, P70S, Q246E, R164W, c.572-3T>C. Among these 18, 9 (50%) patients had co-existing myeloid disorders (CCUS x3, MDS x5, AML x1), and 5 (27.8%) patients were later diagnosed with therapy-related myeloid neoplasms (TMN) at a median of 5.9 yrs (range,1.6-38.7) after lymphoid neoplasm diagnosis and treatment. Seven (4%) patients had plasma cell dyscrasias (PCD; 3 with monoclonal gammopathy of undetermined significance(MGUS) and 4 with multiple myeloma (MM)); 57% (n=4) were male, with a median age of 61.3 yrs (range, 41.4-83.8) at PCD diagnosis. Subtypes of MGUS included IgG Kappa (n=2) and IgG Lambda (n=1), subtypes of MM included IgG Kappa (n=2), IgA Kappa (n=1), and Kappa light chain only (n=1). DDX41MT-GPS genotypes were pathogenic in 28.6% (n=2, G67Vfs*13, G313S) and VUS in 71.4% (n=5, A555T, R164W, Q246E x2, M307T). All patients with MM (n=4) received an autologous stem cell transplant, with 3 (75%) being subsequently diagnosed with a t-MN; median 3.6yrs after PCD diagnosis (range, 3.2-12.3). Seventeen percent (n=31) had visceral malignancies; 2.8% (n=5) having >1malignancy, 61% (n=19) male, 93.5% (n=29) Caucasian and 6.5% (n=2) Hispanic. Prostate cancer was most common (n=8, 4.6%), followed by breast (n=7, 4.0%), colon (n=5, 2.9%), squamous cell carcinoma (n=4, 2.3%, 3 of the head/neck and 1 of the leg), bladder (n=4, 2.3%), testicular (n=3, 1.7%), gynecologic (n=3, 1.7%), lung (n=2, 1.2%), thyroid (n=1, 0.6%) and pancreatic neuroendocrine tumor (PNET, n=1, 0.6%), respectively. The median age at first solid tumor diagnosis was 62.4 yrs (range, 10.9-81.9). DDX41MT-GPS was pathogenic in 64.5% (n=20, D140Gfs*2 x3, E113Kfs*14, G67Vfs*13, I396T, L283Cfs*21, M1I x4, M316Dfs*31 x2, p.M1?, P258L, Q368*, Q41* x2, R159*, R311*) and VUS in 35.5% (n=11, D30Y, H203Y, I215L, I337V, M155I, p.?, S289L, T13I, V318G, A555T). Of the 31 patients with visceral malignancies , 51.6% (n=16) were diagnosed with t-MN at a median of 4.9 yrs (range, 1.1-34.3) after malignancy diagnosis. While DDX41MT-GPS are clearly associated with an increased risk of myeloid neoplasms, we demonstrate potential associations with other neoplasms, especially lymphoproliferative disorders (10%). We for the first-time report associations with PCD (4%) and visceral malignancies (17%) and also highlight a worrisome trend for t-MN in DDX41MT-GPS treated with genotoxic agents. Given limitations of a retrospective analysis, this study underscores the need for a comprehensive natural history study in patients with DDX41MT-GPS .

Fetal hemoglobin (HbF) is anti-sickling and elevated HbF ameliorates sickle cell disease (SCD) manifestations. BEAM-101 is an investigational cell therapy comprised of autologous CD34+ hematopoietic stem and progenitor cells (HSPCs) that are base edited ex vivo to introduce naturally occurring A-to-G substitutions into the promoters of the HBG1/2 genes that encode γ-globin to disrupt BCL11A transcriptional repressor binding sites, leading to increased HbF production. We previously demonstrated in pre-clinical studies that base editing potently induced HbF (>60%) and proportionately reduced sickle hemoglobin (HbS) (<40%) without relying on double-stranded DNA breaks. We present initial data from BEACON (NCT05456880), a Phase 1/2, single-arm, open-label study evaluating the safety and efficacy of a single dose of BEAM-101 in patients with SCD with severe vaso-occlusive crises (VOCs). Patients 18-35 years diagnosed with SCD and ≥4 severe VOCs in the 2-year period prior to screening per trial criteria were eligible. After plerixafor mobilization, autologous CD34+ HSPCs were collected by leukapheresis/isolation and genetically modified with an adenine base editor. After myeloablative conditioning with pharmacokinetically adjusted busulfan, patients received a single infusion of BEAM-101 (≥3.0 × 106 viable CD34+ cells/kg) and are monitored for neutrophil and platelet engraftment, adverse events (AEs), total hemoglobin (Hb), Hb fractions, % F-cells, hemolysis markers, peripheral blood editing, and VOCs for 24 months. As of July 2, 2024, >20 patients are enrolled and BEAM-101 has been manufactured for 8 patients, of whom 6 patients have been dosed. One patient not included in this analysis discontinued during the mobilization/collection period prior to BEAM-101 treatment for non-medical reasons. Baseline demographics were as follows: 5/6 patients βS/βS, 1/6 patients βS/β0, all self-reported Black/African American, 50% female, aged 19-27 years. Of the 6 patients, half (n=3) required only a single mobilization cycle and the other half required 2. Patients received a mean BEAM-101 dose of 11.9 × 106 (5.2-23.4) viable CD34+ cells/kg. Excepting safety data that include all patients dosed (n=6), the following data are from patients dosed with ≥1 month of follow up (n=4; 6, 5, 2, and 1 month[s] post-treatment, each). All 4 patients with ≥1 month of follow up achieved neutrophil and platelet engraftment at a median of 17 (15-19) and 20 (11-34) days, respectively. One patient died due to respiratory failure, likely related to busulfan conditioning, 4 months after infusion. In all patients dosed (n=6), there have been no ≥Grade 3 AEs or serious AEs related to BEAM-101. Using the central laboratory data, patients' total Hb increased from baseline (mean 9.3 [7.9-10.9] g/dL) to 17.9, 18.2, 11.0, and 11.8 g/dL at last time point (LTP) available for P1, P2, P3, and P4, respectively. No signs/symptoms or interventions were undertaken for high total Hb. All patients achieved >60% HbF of non-transfused Hb (total Hb − HbA) at Month (M) 1 and sustained this elevation to the LTP available. By M1, HbS% in non-transfused blood dropped to ≤36% in all 4 patients and was sustained through LTP. In total blood, % F-cells were 99.6% in P1 at M6, 94.4% in P2 at M4, 52.0% in P3 at M2, and 13.3% in P4 at M1 with all patients having >19 pg HbF/F-cell at LTP available. Peripheral blood editing in nucleated cells, measured in P1 (at M6) and P2 (at M3), was 69.9% and 76.1%, respectively. Markers of hemolysis (lactate dehydrogenase, indirect bilirubin, haptoglobin, and reticulocyte counts) have normalized or improved for all patients. No VOCs have been reported by investigators following BEAM-101 treatment. These initial data show a safety profile for BEAM-101 consistent with busulfan conditioning and autologous HSCT. Treatment with BEAM-101 resulted in rapid engraftment, improvement in hemolysis markers, and marked improvement of anemia in all 4 dosed patients. We observed rapid and robust HbF induction consistent with pre-clinical data by M1 (>60%) and corresponding HbS reduction (≤36%) in non-transfused blood in all post-treatment assessments. No VOCs were reported by investigators post-treatment. These initial data support base editing of the HBG1/2 promoters as an effective therapeutic modality for the treatment of SCD and will continue to be investigated in the ongoing BEACON study. Updated data to be presented.

Introduction: Recent efforts have shed light on the clinical and laboratory factors associated with toxicity and response to BCMA-directed CAR-T therapy in patients with relapsed/refractory multiple myeloma (RRMM). However, a major limitation of current scoring systems lies in their assessment at time of lymphodepletion. Because they are not determined before apheresis, they are ill-equipped to guide patient selection, anticipate level-of-care, or plan pre-emptive toxicity management strategies. We therefore aimed to characterize early predictors of CAR-T toxicity and response. Study Design: In this multicenter observational study, we examined demographic, clinical, and laboratory data across three distinct timepoints: indication (e.g., treatment decision), apheresis, and pre-lymphodepletion (LD). CRS and ICANS were graded according to ASTCT criteria. Hematotoxicity (ICAHT) was graded using EHA/EBMT criteria. Early infections (day 0-100) were defined based on microbiologic data or as a clinical infection syndrome, and graded per Hill et al, Blood 2018. Kaplan-Meier estimates of progression-free (PFS) and overall survival (OS) were compared by log-rank test. Cox proportional hazard models were applied to explore associations between pre-apheresis risk factors and key toxicity and survival outcomes. The CAR-HEMATOTOX (HT) score - encompassing markers of inflammation (e.g., CRP, ferritin) and marrow reserve (e.g., hemoglobin, ANC, platelet count) - was determined at each timepoint (Rejeski et al, Blood 2021). Results: We included 530 RRMM patients treated with standard-of-care cilta-cel (n=184) or ide-cel (n=346) across nine centers. Median age was 65 (range 31-88), median ECOG was 1 (IQR 0-1), and patients received a median of 5 prior lines of therapy (IQR 4-7). The median time from indication to apheresis was 16 days (IQR 7-52), while the median time from apheresis to infusion was 56 days (IQR 46-69). The proportion of high-risk patients by HT score did not change between the pre-apheresis and LD timepoints (19% vs. 20%, p=0.82). Most patients stayed either low-risk (n=388, 73.2%) or high-risk (n=68, 12.8%). However, 35 patients (6.6%) shifted from high-to-low risk, while 39 patients (7.4%) progressed from low-to-high risk - reflecting their response to bridging therapies. We noted considerable differences in morbidity and mortality based on the pre-apheresis HT score. Compared to their low-risk counterparts (score 0-2, n=427), high-risk patients (score ≥3, n=103) were hospitalized longer (12 vs. 15 days, p=0.009) and required more frequent ICU admissions (6% vs. 12%, p=0.05). They exhibited more severe early cytopenias (G3+: 8% vs. 25%, p<0.001) and late cytopenias (G3+: 7% vs. 21%, p<0.001), resulting in increased use of TPO agonists and stem cell boosts. Grade 3 or higher ICANS was also more common in HThigh patients (3% vs. 11%, p=0.006), as were severe infections (14% vs. 27%, p=0.007). We found increased non-relapsed mortality in HThigh patients (1-yr NRM 4.6% vs. 16.1%, p<0.001), but no significant difference in the occurrence of secondary malignancies (p>0.9). With a median follow-up of 12.4 months, HThigh patients showed inferior PFS (1-yr PFS 29% vs. 63%, p<0.0001) and OS (1-yr OS 49% vs. 83%, p<0.0001). Transitioning from a low-to-high score was linked to poor survival (1-yr PFS 26%), while the shift from high-to-low risk was associated with favorable outcomes (1-yr PFS 51%). In a multivariable Cox regression model of pre-apheresis features, a high HT score (aHR 2.52, p<0.0001), prior anti-BCMA therapy (aHR 1.55, p=0.04), history of extramedullary disease (aHR 1.42, p=0.02), and penta-refractoriness (aHR 1.45, p=0.02) were independently associated with PFS. Notably, the presence of more than 3 of these high-risk features defined an ultra-high-risk cohort of 28 patients (5.3%) with particularly dismal survival (1-year PFS 15%). Conclusions: Leveraging granular pre-apheresis data from a large international cohort, we identify early markers of toxicity and response in CAR-T-treated RRMM patients. The HT score - reflecting baseline inflammation and hematopoietic reserve - identified high-risk patients likely to benefit from pre-emptive toxicity mitigation strategies such as prophylactic stem cell collection. Most importantly, we characterize a small yet ultra-high-risk group of RRMM patients in need of more effective bridging and therapeutic options.

Background: Tec is a BCMA-directed bispecific antibody (BsAb) approved for RRMM after ≥4 prior lines of therapy (LOT) based on the MajesTEC-1 trial. However, patients who had previously received a BCMA-DT were excluded from MajesTEC-1. Herein, we evaluated outcomes of RRMM patients with prior exposure to BCMA-DT treated with standard-of-care Tec. Methods: This was a multicenter retrospective cohort study. We compared variables between different groups using Chi-squared and Kruskal-Wallis tests, and assessed progression free survival (PFS) and overall survival (OS) using Kaplan Meier and Cox proportional hazards model. We used the maximally selected rank statistics method to determine the optimal cut-off point for continuous variables to find the most significant difference in PFS among different groups. Results: A total of 385 patients were included in this study. 193 patients had received a prior BCMA-DT, of whom 77%, 22%, and 1% had received 1, 2, and 3 prior anti-BCMA agents, respectively. In patients who had received a prior BCMA-DT, 35% were aged ≥70 years, 24% had ECOG performance status (PS) ≥2, 61% had high-risk FISH, 32% had extramedullary disease (EMD) at Tec initiation, and 42% were penta-refractory. Compared to the cohort without prior BCMA-DT (n=192), patients who were treated with prior BCMA-DT were more likely to have high risk FISH (61% vs 49%, p=0.02), and higher median number of prior LOT (7 vs 5, p <0.001). The specific types of prior BCMA-DTs with the respective overall response rate (ORR) to the most recent prior BCMA-DT were: antibody drug conjugate only (ADC, n=47, ORR 43%), chimeric antigen receptor T-cell therapy only (CAR T, n=99, ORR 86%), BsAb only (n=6, ORR 100%), ADC + CAR T (n=36, ORR 56%), and other ADC/CAR T/BsAb combinations (n=5, ORR 60%). Median follow up was 9.9 (95% CI:9.5-10.6) months. Patients with prior receipt of BCMA-DT had a lower ORR (51.4% vs 61.5%; p=0.012) and ≥very good partial response rate (39.4% vs 52.6%, p=0.009), but similar ≥complete response rate (22.3% vs 24%; p=0.78) to Tec compared to those without prior BCMA-DT. Moreover, patients with prior BCMA-DT had worse median PFS compared to patients without prior BCMA-DT (prior BCMA-DT: 4.6 months, 95% CI: 2.7-7.5; without prior BCMA-DT: 8.2 months, 95% CI: 5.7-12.2; p=0.017). On multivariable analysis incorporating prior BCMA-DT, age, cytogenetics, EMD, and ECOG PS, receipt of prior BCMA-DT was not independently associated with PFS (HR 1.25, 95% CI 0.95-1.64, p=0.1). The estimated 1-year OS rate was 58.9% (95% CI: 51.64-67.2) for the prior BCMA-DT group vs 65.1% (95% CI: 58.1-73.1) for the group without prior BCMA-DT, p=0.16. For the prior BCMA-DT cohort, response rates to Tec were numerically higher in patients who received CAR T (ORR 51.2%) followed by ADC (ORR 45.5%), and bispecific (ORR 30%) as their most recent prior BCMA-DT (p=0.39). No significant difference in PFS was noted when stratifying patients by number of prior BCMA-DTs, types of all prior BCMA-DTs received, type of most recent prior BCMA-DT, or depth of response to most recent BCMA-DT. Patients who responded to Tec had a numerically longer median time from most recent BCMA-DT exposure to Tec initiation compared to non-responders: 10.5 vs 7.5 months, p=0.48. We found that the optimal cut-off for time from last BCMA-DT exposure to Tec initiation was 8.7 months. Patients with > 8.7 months between last exposure to prior BCMA-DT and Tec initiation had a superior median PFS with Tec (8.1 months, 95% CI: 4.6-11.7) compared to patients with < 8.7 months from last exposure to prior BCMA-DT (2.5 months, 95% CI: 1.1-5.7), p=0.001. The toxicity profile for patients with prior BCMA-DT was similar to those who had not received a prior BCMA-DT. Grade ≥2 CRS occurred in 8.7% vs 13% (p=0.18), and grade ≥2 ICANS in 7.7% vs 6.7%, (p=0.85) of patients with and without prior BCMA-DT, respectively. Patients in the prior BCMA-DT cohort were more likely to have grade 3 thrombocytopenia in the first 30 days after Tec initiation (10.7% vs 6.6%; p=0.08). Conclusion: This is the largest study to date of any BCMA-directed BsAb among BCMA-exposed patients. Receipt of prior BCMA-DT was associated with a trend toward worse PFS, although not statistically significant, and lower likelihood of attaining an overall response. Waiting >9 months between sequencing BCMA therapies may be associated with improved PFS. D.D., M.A.V.M., J.A.D: co first authors; F.A., C.F., L.S.: co senior authors

Background: Anti-BCMA CAR T cells are a new standard of care for the treatment of RRMM patients. Hence, it is paramount to identify determinants of response and resistance for individualized approaches. There is emerging data about the importance of depth of response in prolonged progression-free survival (PFS) and of genetic antigen escape in treatment resistance. By contrast, there is limited understanding of how patient' outcomes are shaped by immune fitness prior aphaeresis, and virtually no data about CAR T and endogenous profiles post infusion. Aim: Characterize immune dynamics and investigate its prognostic value in RRMM patients treated with CAR T cells. Methods: Immune profiling was performed using multidimensional and computational flow cytometry in 285 bone marrow aspirates from 120 RRMM patients enrolled in the KarMMa phase 2 trial. In total, 170 immune clusters were identified and systematically quantified in a pileup analysis of samples collected before and at months 1, 3, 6 and 12 after CAR T infusion. Immune scores were developed using cox regression with 10-fold cross-validation. Results: At baseline (n = 63), there were significant associations between the bone marrow immune composition and the number of prior lines of treatment, prior autologous transplant and staging. Namely, there were higher proportions of ICOS, PD1, TIGIT and TIM3 positive cells within the CD4+ and CD8+ T cell compartments from heavily pretreated patients and those with R-ISS 3. A baseline immune score defined by the percentages of GrzmB+HLADR+ cytotoxic NK cells, TIGIT+ Tregs, CD4+CD127+ICOS+ and CD4+CD25+CD127+TIGIT+, CD8+TIGIT+, CD8+GrzmB+HLADR+ and CD8+CD27+CD95+CD45RAloCD197lo T cells was associated with PFS. Patients with low vs high risk immune score at baseline had median PFS of 25 vs 6 months, respectively (p < .001). Interestingly, there were no significant associations between the baseline risk score and treatment or staging, suggesting potential complementarity of immune profiling with other prognostic factors. At month 1 after infusion (n = 55), the presence of >1% vs <1% CAR T cells was associated with longer PFS (medians of 20 vs 8 months, p = .002). In addition to the magnitude of CAR T persistence, it was interesting to observe increased percentages of CD8+ CAR T cells in patients with <5 prior lines of therapy, of CD4+HLADR+ and CD8+TEMRA CAR T cells in patients with R-ISS 1/2, as well as of PD1+TIM3+ CD4+ and CD8+ CAR T cells in patients with R-ISS 3. Moreover, the phenotype of CAR T cells was associated with PFS. Patients with low vs high risk immune score (ie, based on the percentages of CD4+CD57+, CD8+CD27-EM, CD8+PD1+TIM3+ and CD4+CD8+ CAR T cells) had median PFS not reached vs 11 months, respectively (p < .0001). Similarly to the above, there were no significant associations between the CAR T immune risk score and treatment or staging, suggesting potential complementarity of CAR T quantification and phenotyping post-infusion with other patient' characteristics. Next, we investigated endogenous T cell dynamics in 51 RRMM patients with paired samples prior and after CAR T infusion. There were significant differences in the frequencies of 30 immune clusters, including CD27+ naïve and EM CD4+ and CD8+ T cells, ICOS+ and TIGIT+ Tregs, CD4+ and CD8+ T cells, as well as of CD25+CD127+ CD4+ and CD8+ T cells. Furthermore, an immune risk score defined at the latest available time point (n = 95) was associated with PFS (p < .0001). Patients with lower levels of GrzmB+ cytotoxic NK cells and of immunoregulatory HLADR- NK cells, as well as of CD4+CD27+CD95+CM, CD4+HLADR+, CD8+PD1+ and CD8+CD27-CD95+EM T cells showed a high risk score and a median PFS of 6 vs 20 months in patients with low risk immune score. Conclusions: This is one of the largest dynamic studies of immune profiling in a clinical trial investigating anti-BCMA CAR T cells in RRMM. Our results uncovered that patient' immune status is shaped by prior treatment and staging, and that the distribution of different NK, Treg, CD4+ and CD8+ T cells prior aphaeresis is associated with PFS. Furthermore, the phenotype of CAR T cells at month 1 after infusion may be as prognostic as its percentage. We also showed how treatment with CAR T cells modulates the bone marrow immune composition and how it may contribute to immune escape vs surveillance. Altogether, this study supports immune profiling for improved understanding of response and resistance to CAR T cells in RRMM.

Introduction: Health disparities negatively impact outcomes of patients (pts) with hematologic malignancies. Limited retrospective data correlating health disparities with lymphoma outcomes prohibit proper identification of reversible causes and elaboration of potential interventions. We present data from a coordinated effort between the National Clinical Trials Network (NCTN) cooperative groups (Alliance for Clinical Trials in Oncology [Alliance], Eastern Cooperative Oncology Group [ECOG], and the Southwest Oncology Group [SWOG]) to catalog the racial, ethnic, and socioeconomic characteristics of pts with lymphoma to better understand the quality of data collected, analyze selected health disparity indicators, and develop a prospective data collection tool. Methods: We conducted a retrospective analysis of demographic data from pts with lymphoma enrolled on 32 cooperative group therapeutic trials between 2005 and 2020. Special focus was placed on data regarding race, ethnicity, and proxies that help identify socioeconomic status (health insurance, residential zip code, Social Deprivation Index [SDI]). These were evaluated in relation to histology-based metrics from the Surveillance, Epidemiology, and End Results Program (SEER) Program with reported data through 2022. Here, our focus is to characterize baseline demographic and disparities data on the collection of these 32 NCTN lymphoma trials. Results: A total of 3,897 pts were included, with 3,406 non-Hodgkin lymphoma (87.4%) - 1,644 diffuse large B-cell (DLBCL, 48.3%), 905 follicular (26.6%), 669 mantle cell (19.6%), 113 primary central nervous system (3.3%), 75 T-cell (2.2%) - and 491 Hodgkin lymphoma (12.6%). Age at registration was available for 3,891 pts with median age 57.1 years (range: 18-92). The majority of patients were male (58.8%; one pt missing biological sex data). Race data were available for all but one patient, where most pts were white (W, 86.6%), followed by 246 African American (AA, 6.3%), 99 Asian (A, 2.5%), 13 American Indian or Alaska Native (AI, 0.3%), 8 Native Hawaiian or Pacific Islander (PI, 0.2%), 11 with more than 1 race reported (0.3%), and 145 with unknown/not reported race. Ethnicity data were unknown for 327 pts (8.4%) with 179 Hispanic or Latino (Hisp, 4.6%). Combined race/ethnicity data showed 3,010 non-Hisp white (NHW, 77.2%) and 219 non-Hisp black (NHB, 5.6%). For comparison, in the SEER database, 84.7% of all lymphoma cases were W, with 8.6% AA, 5.2% A/PI, 0.4% AI, and 1.1% unknown race, and with 13.9% of pts reported as Hisp. When focusing on the 804 pts enrolled on Alliance CALGB 50303 and ECOG-ACRIN 1412 studies, two randomized DLBCL studies, there was a more proportional representation of W and AA pts with DLBCL - 82.1% and 9.8% compared 84.6% and 7.7%, respectively, at SEER database, with 5.3% Hisp (with another 5.3% unknown) compared to 14.9% at SEER. Insurance information was missing in 113 pts. Of the remainder, 2,102 pts had private insurance only (55.6%), 549 with a mix of private and public (14.5%), 701 public only (18.5%, including 11.4% Medicare, 4.5% Medicaid, 0.8% both), and 166 self-pay (4.4%). Year-matched SDI score was available in 2,885 pts, where higher SDI scores = higher social deprivation. The total mean SDI score for the overall cohort was 42.5 with significant differences observed based on race/ethnicity and insurance type. Specifically, NHW were from less deprived areas (mean SDI=38.8) than NHB (66.4) or Hisp (65.5) (p<0.0001). Those without insurance (mean SDI=52.6) or only public insurance (48.9) were located in areas associated with greater deprivation compared to pts with private (40.1) or public+private (38.8) insurance (p<0.0001). Conclusion: To our knowledge, this is the largest retrospective catalog of racial, ethnic, and socioeconomic characteristics of pts with lymphoma enrolled on cooperative group therapeutic trials. The scope of NCTN cooperative group lymphoma studies provides a unique opportunity to assess novel therapeutic outcomes for patients representing racial, ethnic and socioeconomic subgroups with both common and rare lymphoma subtypes. From this resource, additional analyses on relationships between SDI, race/ethnicity, insurance coverage, disease subtype, and temporal trends will be presented. Support: U10CA180821, U10CA180882, UG1CA189823

Introduction QUADs with an anti-CD38 mAb, an IMiD, a proteasome inhibitor and dexamethasone followed by autologous stem cell transplantation (ASCT) in the treatment of newly diagnosed multiple myeloma (NDMM) led to substantial improvements in depth of response, including minimal residual disease (MRD) negativity, and progression-free survival. The therapeutic success of QUAD + ASCT has reinvigorated an interest in fixed-duration therapy, yet optimal short term efficacy endpoint for treatment cessation is unknown. We used a large dataset of patients (pts) treated with QUAD + ASCT, monitored with serial MRD assessment and managed with MRD-adapted treatment duration to determine the best short term efficacy endpoint to identify pts at low risk of treatment failure. Methods We analyzed 221 pts with NDMM treated with QUAD + ASCT and monitored with serial marrow-based MRD by next-generation sequencing. Based on trial design (N=116) and institutional practice (N=105) most pts received post ASCT QUAD consolidation followed by treatment cessation if MRD<10-5 in two consecutive datapoints. Pts were monitored with MRD post induction, ASCT and consolidation, and at least yearly thereafter. We utilized Cox regression to build parallel models of predictors of disease progression or MRD resurgence utilizing the same patient and disease features and one distinct short term efficacy endpoint per model, inputted as time-varying covariate. Efficacy endpoints tested were IMWG-defined stringent complete response (sCR), MRD<10-5 (single datapoint), MRD<10-6, sustained MRD (S-MRD, two consecutive assessments at least 1 year apart) <10-5and S-MRD<10-6. Best fitting models were determined using Akaike's information criterion (AIC, lower value indicates better fitting model), an information theory approach, and Heagerty & Zheng C index. Results Median age of the 221 pts. was 61 years (IQR 55-68), 21% age 70 or older, 37% had MM with 1 high risk chromosome abnormality [HRCA, gain/amp 1q, t(4;14), t(14:16), del(17p)], 16% had 2+HRCA, 30% were non-White and 58% male. We followed pts for a median of 40.6 mo. and performed 979 MRD assessments. One hundred and eighty-three pts (83%) achieved sCR, 170(77%) MRD<10-5, 146 (66%) MRD<10-6 , 110 (50%) S-MRD<10-5 and 90 (41%) S-MRD<10-6. Average time to achieve the endpoint was 7.8 mo for sCR, 7.1 mo. for MRD <10-5, 9.4 mo. for MRD<10-6, 19.3 mo. for S-MRD<10-5 and 20.5 mo. for S-MRD<10-6. We first tested models to predict PFS among all 221 pts. Predictive models included same covariates (ISS, high LDH and number of HRCA) other than the efficacy endpoint. The best fitting model (AIC 417.2, C-stat 0.757) was based on S-MRD<10-5 (HR=0.23, 95% C.I. 0.11-0.47) and included presence of 1 HRCA (HR=2.93, 95% C.I. 1.31-6.52), 2+ HRCA (HR=7.60, 95% C.I. 3.31-17.43), high LDH (HR=1.64, 95% C.I. 0.81-3.33), ISS2 (HR 1.31, 95% C.I. 0.62-2.77) and ISS3 (HR 1.96, 95% C.I. 0.90-4.28). The model with S-MRD<10-6 had similar, but not better performance (AIC 419.4, C-stats 0.752). We subsequently analyzed the 121 (55%) pts who reached MRD-guided treatment cessation for the best fitting model to predict progression or MRD resurgence in absence of continuous therapy. Among these pts, 117(97%) achieved sCR, all (by definition) MRD<10-5, 116 (96%) MRD<10-6 , 95 (79%) S-MRD<10-5 and 81 (67%) S-MRD<10-6. The best fitting model (AIC 197.2, C-stat 0.766) was based on S-MRD<10-5 (HR 0.01, 95% C.I. 0.002-0.05) and included presence of 1 HRCA (HR=1.41, 95% C.I. 0.49-4.07), 2+ HRCA (HR=5.43, 95% C.I. 1.75-16.84), high LDH (HR=3.19, 95% C.I. 0.98-10.40), ISS2 (HR 1.25, 95% C.I. 0.53-2.96) and ISS3 (HR 0.73, 95% C.I. 0.23-2.37). The model with S-MRD<10-6 did not perform better (AIC 232.4, C-stat 0.727). Among the 94 pts who achieved S-MRD<10-5 and were monitored off therapy, the risk of MRD resurgence or progression 2.5 years after cessation of therapy was 6.1%, 15.0% and 22.2% and risk of progression was 3.0 %, 12.0% and 11.1% for patients with 0, 1 and 2+ HRCA, respectively Conclusion In the setting of QUAD therapy + ASCT, no short term conventional or MRD-based efficacy parameter negates the cumulative impact of HRCA on prognosis. S-MRD<10-5 is the best predictor of PFS and yields the best predictive models for risk of MRD resurgence or progression in the setting of fixed duration therapy. This analysis validates S-MRD<10-5 as efficacy parameter for treatment cessation in trials exploring fixed duration therapy in NDMM.

Introduction: Waldenström macroglobulinemia (WM)remains incurable with current therapies. Treatment options for patients beyond initial therapy are limited, underscoring the need for new agents with novel mechanisms of action. Iopofosine I 131 is a novel radiopharmaceutical composed of a lipid raft-targeting phospholipid ether covalently bound to 131I, a beta-emitting radioisotope. Herein, we report the results of the CLOVER-WaM study [NCT02952508] in patients with previously treated WM. Methods: Eligible WM patients had received >2 prior therapies and had symptomatic disease requiring therapy according to consensus recommendations for WM. Treatment consisted of 2 cycles of iopofosine I 131 administered at 15 mCi/m2 on days 1 and 15 of each 57-day cycle. Dose reduction to 10 mCi/m2 was allowed in the second cycle in patients with incomplete hematologic recovery or if the expected total dose exceeded 132 mCi. Supportive care with growth factors and transfusions was permitted per treating physician discretion. The primary endpoint was major response rate (MRR, defined as partial response or better) as determined by the modified VIth International Workshop on Waldenström Macroglobulinemia Response Criteria. Secondary endpoints included overall response rate (ORR), treatment-free survival (TFS), duration of response (DOR), and clinical benefit rate (CBR, defined as stable disease or better). Efficacy endpoints were assessed in the modified intent-to-treat (mITT) population, defined as all patients who received ≥60 mCi total administered dose of iopofosine I 131. MRR was analyzed with a 95% 2-sided confidence interval (CI) using the Clopper-Pearson interval method. In this population, MRR >20% was considered statistically significant. Time-dependent efficacy endpoints were analyzed using the Kaplan-Meier method. Safety was evaluated using CTCAE v4.03 in patients who received >1 dose of iopofosine I 131. The data cut-off for this analysis was May 31, 2024. Results: In 65 patients enrolled (safety population), the median age was 70 (range, 50-88) years; 48 (73.8%) were male, and 17 (26.2%) were female. Sixty-one (93.8%) were White, 1 (1.5%) was Black/African American, and 3 (4.6%) were other or unknown. Fifty-five patients met mITT criteria and were evaluable for efficacy. The median number of prior therapies was 4 (range, 2-15). Bruton's tyrosine kinase inhibitor (BTKi) exposure was noted in 39 (71%) patients, of whom 31 (56%) were BTKi-refractory. Sixteen (29%) patients had MYD88-wild type, and 5 (9%) had CXCR4-mutated disease. The MRR was 56.4% (95% CI, 42.3-69.7). ORR was 80%; among MYD88-wild type patients, ORR was 81%, and among post-BTKi patients, ORR was 72%. CBR was 98%. The median DOR and TFS were not reached at a median follow-up of 8.8 months, with an estimated 72% of responding patients remaining progression-free at 18 months. In the safety population, any-grade adverse events, regardless of causality, were reported in 57 (87%) patients. Grade 3 or higher treatment-emergent adverse events (TEAEs) occurring in >10% of patients included thrombocytopenia (80%), neutropenia (69.2%), anemia (44.6%), lymphopenia (13.8%), infections (12.3%), and febrile neutropenia (10.8%). Adverse event-related death occurred in 1 patient due to bacterial sepsis. Conclusion: Iopofosine I 131 demonstrated durable efficacy in previously treated WM patients, with no current standard of care therapy. The treatment was well-tolerated with a manageable toxicity profile across broad biologic and clinical subgroups, irrespective of risk stratification. Based on the results of this trial, iopofosine I 131 shows promise as a novel treatment for WM patients.

Introduction: Bruton tyrosine kinase (BTK) inhibitors are highly effective against Waldenström macroglobulinemia (WM). Their effectiveness can be limited by resistance caused by BTK mutations and intolerance. BGB-16673 is a bivalent small molecule that induces BTK degradation by binding specifically to BTK and the E3 ligase. The E3 ligase catalyzes the transfer of ubiquitin molecules to BTK, which marks BTK for destruction by the proteasome. Preclinically, BGB-16673 degraded wild-type and mutant BTK associated with covalentand noncovalent BTK inhibitors (ncBTKis), leading to tumor suppression. CaDAnCe-101 (BGB-16673-101; NCT05006716) is an ongoing, open-label, first-in-human, phase 1/2 study evaluating BGB-16673 monotherapy in patients with a range of B-cell malignancies. Here, early results in patients with WM enrolled in the phase 1 portion are presented. Methods: Eligiblepatients must have confirmed R/R WM (≥2 prior therapies), an ECOG performance status of 0-2, and adequate organ function. Patients must have previously received an anti-CD20 antibody and, in the US and EU, a covalent BTK inhibitor (cBTKi). BGB-16673 was orally dosed once daily in 28-day cycles. Dose escalation used a Bayesian optimal interval design (6 planned dose levels, 50-600 mg once daily). Primary objectives were to evaluate safety/tolerability (CTCAE v5.0) and to establish the maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D). Dose-limiting toxicities (DLTs) were assessed in the first 4 weeks (cycle 1). A secondary objective was to evaluate the overall response rate (ORR, IWWM-6 consensus criteria), with the first assessment occurring after 4 weeks of treatment. Results: As of May 24, 2024, 22 patients with WM were enrolled and treated (100 mg, n=4; 200 mg, n=10; 350 mg, n=8). The median age was 73.0 (range, 56-81) years, and the median number of prior therapies was 3.5 (range, 2-11), including prior cBTKis (n=22 [100%]), BCL2 inhibitors (n=4 [18%]), and ncBTKis (n=3 [14%]). Twenty patients (91%) had previously received chemotherapy. According to the International Prognostic Scoring System for WM, 6 patients (27%) had low-risk disease, 7 (32%) had intermediate-risk disease, and 8 (36%) had high-risk disease (missing/unknown data, n=1). Five patients (23%) had BTK mutations, 20 (91%) had MYD88 mutations, and 8 (36%) had CXCR4 mutations. The median follow-up was 4.3 (range, 0.3-21.3) months. Ninety-five percent of patients reported any-grade treatment-emergent adverse events (TEAEs; grade ≥3, 45%; serious, 23%), the most common (≥20%) of which were neutropenia/neutrophil count decreased (32%; grade ≥3, 23%), contusion (23%; no grade ≥3), and diarrhea (23%; no grade ≥3). The most common grade ≥3 TEAE (≥20%) was neutropenia/neutrophil count decreased. No atrial fibrillation, hypertension, febrile neutropenia, or major hemorrhage occurred. Three patients (14%) had a grade ≥3 infection (bronchopulmonary/cerebral aspergillosis, septic shock, and pseudomonal bacteremia/sinusitis). No patients had a TEAE that led to treatment discontinuation or dose reduction. No DLTs occurred, and the MTD was not reached. One patient (5%) died due to a TEAE (septic shock, considered related to disease progression). One patient died due to disease progression. In 21 response-evaluable patients (1 too early), the ORR (minor response or better) was 90%, the major response rate (partial response [PR] or better) was 81%, and the very good PR or better rate was 14%. Median time to first response was 0.95 (range, 0.9-3.7) months, with responses deepening over time. Seventeen patients remain on treatment and have ongoing responses. Responses were seen at the lowest dose (100 mg, 4/4), in patients previously treated with a cBTKi (19/21) and an ncBTKi (3/3), and in patients discontinued from prior BTKi due to disease progression (15/17). In addition, responses were observed in patients with and without mutations in BTK (with, 5/5; without, 6/8; unknown, 8/8), MYD88 (with, 18/20; without, 1/1), and CXCR4 (with, 8/8; without, 11/13). One patient had IgM flare at initial response assessment and went on to develop PR. Conclusions: Early data from this ongoing, first-in-human study demonstrate that the novel BTK degrader BGB-16673 has a tolerable safety profile and shows promising antitumor activity in heavily pretreated patients with BTK inhibitor-exposed R/R WM, including those with BTK and CXCR4 mutations.