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Abstract Background Despite advances in the diagnosis and treatment of immune thrombotic thrombocytopenic purpura (iTTP), recent mortality estimates remain around 5–10%. Predicting iTTP mortality risk has been of interest, as it may help individualize treatment or potentially guide the use of more intensive or novel therapies based on disease severity. However, prior attempts at mortality prediction have yielded inconsistent results, and no individual variable has demonstrated independent or reliable predictive ability. In a previous analysis utilizing the USTMA iTTP registry, which included 419 patients from 15 TTP referral centers, we reported that mortality due to immune TTP was unpredictable (Blood. 2021;138[Suppl 1]:1047). Neither the French Thrombotic Microangiopathy (TMA) Reference Score (previously validated in the French TMA Registry), nor a previous logistic regression model attempt (developed by USTMA investigators in 2021) demonstrated sufficient accuracy in predicting iTTP mortality in the USTMA dataset (AUC = 0.63 and 0.69, respectively). We subsequently utilized gradient boosted machine, a machine learning approach capable of handling multiple continuous variables and the complex interactions between them in large datasets, and developed a novel prediction tool: the USTMA Mortality Index (Res Pract Thromb Haemost. 2024; 8(3):102388). It demonstrated good performance in predicting iTTP mortality (AUC = 0.77) in repeated 10-fold cross-validation. However, it has not yet undergone external validation. Objectives To externally validate the USTMA Mortality Index to predict mortality due to acute iTTP in a multicenter cohort. Methods We performed an external validation using an independent cohort of iTTP patients from 5 institutions: University of Utah, Case Western Reserve University, Rochester Regional Health, University of Illinois, and Mayo Clinic. Patients in the validation cohort were not part of the development cohort (the USTMA registry). We included patients with confirmed iTTP and defined acute iTTP mortality as death within 30 days of admission. USTMA Mortality Index variables were collected at initial presentation, which included (in order of highest to lowest relative influence): lactate dehydrogenase, serum creatinine, age, hemoglobin, platelet count, presence of stupor/coma, fever. The model's prediction accuracy was assessed using area under the receiver operating characteristic curve (AUC). We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) based on the previously defined cut-offs of 4.27% and 9.08% mortality risk in the original model, which categorized patients into standard risk, high risk, and very high risk of predicted mortality. Results The external validation cohort included 103 patients with confirmed iTTP and 11 deaths (10.7% mortality rate). The USTMA Mortality Index demonstrated poor performance with AUC of 0.69 (95% CI, 0.55–0.83) in the validation cohort. The wide confidence interval reflects substantial uncertainty in model performance, ranging from poor to excellent, and is likely due to the small number of deaths. At a risk threshold ≥4.27%:Sensitivity = 64%Specificity = 70%PPV = 20%NPV = 94% At a risk threshold ≥9.08%:Sensitivity = 18%Specificity = 87%PPV = 14%NPV = 90% Conclusion The USTMA Mortality Index demonstrated poor performance in the external validation cohort (AUC = 0.69, 95% CI, 0.55–0.83), contrasting with its previously favorable performance in repeated 10-fold cross-validation. This discrepancy likely reflects model overfitting, a known challenge in AI-based clinical modeling. Our study is limited by the small number of deaths, resulting in a wide confidence interval ranging from poor to excellent performance. Given that neither the French TMA Reference Score, nor our group's prior logistic regression model (2021), nor the USTMA Mortality Index (2024) could reliably predict mortality upon external validation in our cohorts, these findings collectively suggest that mortality in acute iTTP remains difficult to predict at this time, regardless of statistical methodology or current machine learning capabilities. Clinical decision-making, including the use of therapies such as caplacizumab, should not be guided solely by mortality risk predictions. Instead, efforts to reduce mortality and improve outcomes should prioritize individualized clinical assessment over model-based stratification at this time.

Abstract Introduction With a median age of 60-70 years at diagnosis, many patients with MCL are ineligible for aggressive treatment. Bendamustine and rituximab (BR) is a standard therapy for older patients with MCL. Venetoclax (VEN) has shown pre-clinical evidence of synergy with chemotherapy. Thus, PrE0405 was designed to evaluate the addition of VEN to BR in previously untreated older patients with MCL. We have previously reported on response rate and short-term survival (Portell et al. ASH 2023). Here, we update survival and include minimal residual disease (MRD) at end of treatment (EOT). Methods Eligible patients included those that were previously untreated and diagnosed with MCL by presence of t(11;14) or cyclin D1 expression. Patients must have been ≥60 years of age at the start of therapy with a good performance status (ECOG 0-2). Adequate marrow and organ function was required, specifically a creatinine clearance ≥ 40 ml/min. Eligible subjects were treated with bendamustine 90mg/m2 D1-2 and rituximab 375mg/m2 IV D1 every 28 days for a planned 6 cycles of therapy. For patients ≥75 years, 70mg/m2 of bendamustine was allowed. VEN was given concurrently with BR. During Cycle 1, VEN was dose escalated weekly, as done in chronic lymphocytic leukemia, from 20mg to 200mg. For Cycle 2-6, VEN was administered as 400mg PO daily on days 1-10 only. Maintenance rituximab was encouraged but was per investigator discretion. Primary end point was PET-negative complete remission (CR) at EOT by Lugano Criteria and was confirmed by a negative bone marrow biopsy if involved at screening. MRD was assessed at EOT by next-generation sequencing (Clonoseq). Amended accrual goal was 33 patients with a planned 32 being eligible and treated. This provided an 81% statistical power to detect a 17% difference in CR rate (from 60% [E1411, Smith et al Blood 2024] to 77%) using an exact binomial test with a 1-sided alpha of 11.6%. Thus, BR-VEN would be considered promising if 23 or more subjects attained a CR. Results From 1/2020 to 3/2022, 33 subjects were enrolled, deemed eligible, and treated on study. Subjects were followed until 7/2024. Median age was 71 (range 61-80) and 76% (n=25) were male. All but 1 subject (97%, n=32) were White. MIPI was high in 67% (n=22), intermediate in 27% (n=9) and low in 6% (n=2). Ki67 was available in 25 (76%) subjects and was ≥30% in 14 (56%) and ≥50% in 7 (28%). Only one subject started bendamustine treatment at 70mg/m2; though 6 others had dose reductions during treatment. Thirty (90%) subjects completed all 6 cycles of therapy. Maintenance rituximab was administered in 19 (56%) of subjects and 9 completed all 12 recommended doses. Treatment was generally well tolerated. During BR-VEN, Grade ≥3 treatment-related adverse events (TRAE) occurring in >10% (i.e., 4 or more) of subjects were neutropenia (n=8, 24%), and thrombocytopenia (n=5, 15%). Other common TRAE of all grades were nausea/vomiting (n=19, 58%), diarrhea (n=10, 30%), and fatigue (n=19, 58%). At EOT with BR-VEN, overall response and CR rate was 97% (32 of 33) and 85% (28 of 33) respectively. The study met its primary endpoint of at least 23 subjects with a CR best response (p=0.002). EOT MRD sample (blood or marrow aspirate) was available for 28 subjects (85%). At EOT, MRD was undetectable for 100% (n=28) of evaluable subjects at a sensitivity of 10-4 and 10-5. At a sensitivity of 10-6, 64% (n=18) were undetectable, 4% (n=1) were detectable and 32% (n=9) were indeterminate. With a median follow up of 39.1 months, 3-year progression free survival (PFS) was 68.9 and 3-year overall survival (OS) was 70.0%. There were 11 total PFS events during follow up. Four subjects in remission died due to COVID-19, 1 died from influenza, one died from HSV encephalitis, and 2 others died from other causes. Two subjects died shortly after progression and 1 subject is alive following disease progression. As this study enrolled during the height of the COVID-19 pandemic, a sensitivity analysis was performed censoring the COVID-19 attributable deaths – PFS and OS at 3 years was 78.7% and 80.0%. Conclusions BR-VEN was generally well tolerated as induction therapy in older patients with MCL. It achieved a high CR rate of 85% with 100% MRD undetectable rate at 10-5 sensitivity in those evaluable. However, there were competing risks for survival in this older population as, of the 11 PFS events, only 3 events were due to progression; 8 were due to death without progression.

Abstract E1910 evaluated the addition of blinatumomab to chemotherapy in adults with B-acute lymphoblastic leukemia (ALL). The addition of blinatumomab in patients (pts) with measurable residual disease (MRD) negative (neg) B-ALL significantly improved both relapse-free and overall survival (NEJM 2024; 391: 320-33)1. Given the increasing use of blinatumomab and the E1910 backbone chemotherapy regimen, we evaluated > Grade 3 toxicities on this trial in further detail. We assessed toxicity among the MRD-neg pts by age, gender, body mass index (BMI), combined cytogenetic-molecular risk, and number of cycles of blinatumomab received. We also evaluated toxicities during induction since this trial used a modified chemotherapy backbone. Methods: The eligibility, combined cytogenetic-molecular risk, and treatment have been previously described.1 All toxicities were > Grade 3 by CTCAE version 4 with at least a possible relationship to treatment. Descriptive statistics were used to summarize the occurrence and rates of toxicities and Fisher's exact test was used to compare differences in proportions between groups. Analysis of induction included all pts who started treatment. Analysis of Step 3 toxicities included MRD-neg pts who started treatment on the blinatumomab (n=111) or chemotherapy only arm (n=112). Results: Pt characteristics: For induction (n=488), median age was 51 years (yrs) (range 30-70); 48.6% female. Combined cytogenetic-molecular risk: favorable (13.5%); intermediate (12.9%); no risk assigned (16.2%); unfavorable (57.4%). For induction, we compared toxicities for E1910 (n=488) to pts treated on a prior young adult study (n=289) (C10403) (Blood Adv 2021; 5(2): 504-12). The incidence of hyperglycemia (8% vs. 31.1%, p< 0.001), aspartate aminotransferase (AST) increase (6.1% vs. 12.8%, p=0.002), alanine aminotransferase increase (ALT) (11.7% vs. 28.7%, p< 0.001), and hyperbilirubinemia (11% vs. 19%, p=0.002) were significantly lower in E1910 pts. The incidence of pancreatitis (1.8%), thromboembolic events (4.5%), and febrile neutropenia (25.4%) in E1910 was similar to C10403. Toxicities in the MRD-neg pts in the blinatumomab arm (n=111): Despite a high incidence of neutropenia (74.8%) and thrombocytopenia (55.9%) in Step 3, there was a relatively low incidence of sepsis (7.2%), bacteremia (1.8%), cytokine release syndrome (CRS) (3.6%) and neurologic adverse events (0-6.3%). There was a higher incidence of neurological or psychiatric events in the blinatumomab arm (23%) versus chemotherapy arm (5%) (p < 0.001) when all events were combined. There was a numerically higher incidence of ataxia (4.4% vs. %, p=0.16) and dysphasia (11.1% vs. 3%, p=0.12) in pts > 55 yrs and a higher incidence of neutropenia (80.3% vs. 66.7%, p=0.12) and thrombocytopenia (62.1% vs. 46.7%, p=0.12) in the younger pts (age < 55 yrs). In pts with a BMI < 30 kg/m2 (vs. > 30 kg/m2), there was a significantly higher incidence of leukopenia (51.7% vs. 26.4%, p=0.007) and thrombocytopenia (65.5% vs. 45.3%, p=0.037). However, this did not translate into an increased incidence of bleeding or infectious complications. By gender, females had a higher numerical incidence of AST increase (8.8% vs. 0%, p=0.057) and CRS (7% vs. 0% p=0.12); whereas males had a higher incidence of catheter- related infections (7.4% vs. 0%, p=0.05) and hyperglycemia (11.1% vs. 3.5%, p=0.16). A little more than half (56.8%) of pts received 4 cycles of blinatumomab with the remainder of pts receiving 1 (10.8%), 2 (28.8%), or 3 cycles (3.6%). Pts receiving 3-4 cycles of blinatumomab vs. 1-2 cycles of blinatumomab had a statistically higher incidence of anemia (38.8% vs. 6.8%, p< 0.001), neutropenia (98.5% vs. 38.6%, p< 0.001), and thrombocytopenia (83.6% vs. 13.6%, p< 0.001), likely related to being on treatment for a longer period of time. Conclusions: Blinatumomab was well tolerated with no significant toxicity differences noted by age, gender, or number of cycles of blinatumomab received. Pts with a lower BMI did have an increased incidence of leukopenia and thrombocytopenia, possibly related to flat dosing of the drug. However, this did not translate into increased complications. Toxicites during induction were notably few, which suggests that this backbone with age adjustments may serve as a good backbone for future trials. Blinatumomab is being evaluated with low dose chemotherapy and other targeted agents in ongoing trials.

Abstract BACKGROUND Children exposed to poverty during frontline therapy for B-lymphoblastic leukemia (B-ALL) experience inferior overall survival (OS), higher relapse rates, and earlier relapse than their peers. Real-world data describing treatment patterns and survival after relapse of B-ALL are lacking and, as a result, the impact of poverty following relapse remains poorly understood. This study evaluated the association of poverty exposure, proxied by insurance status, with post-relapse survival and explored potential explanatory mechanisms, including disease biology and therapy utilization. METHODS Data from Retrospective Study of Contemporary Approaches to First Relapse in B-ALL (ReCALL-1), a multicenter retrospective cohort study of patients < 30 years old with first relapse of B-ALL from 2018-2022, were used. The primary exposure was poverty, proxied by insurance status at relapse, categorized as any private insurance (poverty unexposed), public-only insurance (poverty exposed), no insurance, or unknown; the latter two were not included in comparative analyses due to low numbers. The primary outcome was OS. Secondary outcomes included measurable residual disease (MRD)-negative second complete remission (CR2), relapse after CR2, non-relapse mortality (NRM), with relapse treated as a competing risk, and receipt of cellular and immunotherapies. RESULTS Among 462 patients from 31 U.S. institutions, 41% had private insurance, 47% public-only insurance, 2% no insurance, and 10% unknown. Compared to privately insured patients, those with public insurance were more likely to be Hispanic (56% vs 19%, p<0.001) and have non-English preferred language (30% vs 6%, p<0.001). Non-Hispanic Black patients comprised 9% of those with public insurance and 5% of those with private insurance. Disease characteristics that differed by insurance status at relapse included: Ph-like cytogenetics, more common in publicly insured (23% vs 11%, p=0.002), and infant ALL, more common in privately insured patients (10% vs 5%, p=0.06). Publicly insured patients were more likely to have experienced major organ toxicity during frontline therapy (32% vs 18%, p=0.002) and very early relapse (<18m from diagnosis: 43% vs 32%, p=0.07). Other demographic and disease characteristics, including relapse site and cytomolecular features, were similar by insurance status. With a median follow-up of 51 months from relapse, 4-year OS differed by insurance (log-rank p=0.02): 72% for private vs 56% for public insurance. After adjusting for race/ethnicity and language, public insurance increased the hazard of death by 65% (aHR 1.65 95% CI 1.13-2.42, p=0.004). The association remained, but was attenuated, when unbalanced disease characteristics (time to relapse, infant ALL, Ph-like cytogenetics, prior organ dysfunction) were included (aHR 1.47, 95% CI 1.00-2.16, p=0.05). Rates of MRD-negative CR2 were similar (85% public vs 87% private). However, point estimates suggested publicly insured patients had more relapse after CR2 (44% vs 37%, p=0.42) and higher 4-year NRM (16% vs 10%, Gray's test p=0.12), though neither were significant. Treatment choices for first relapse did not differ by insurance status. Utilization of intensive reinduction (91% vs 95% for public vs private, p=0.18) and clinical trial enrollment (22% for both) were similar. Receipt of cellular therapies did not significantly differ by public vs private insurance: Chimeric Antigen Receptor-T cells (CAR-T: 38% vs 34%, p=0.41), hematopoietic cell transplant (HCT: 42% vs 47%, p=0.32). Use of blinatumomab trended higher in those with private insurance (36% vs 45%, p=0.07), and inotuzumab was similar (11% for both, p=0.87). Median time from relapse to CAR-T or HCT was comparable (to CAR-T 102 vs 100 days, to HCT 117 vs 114 days). CONCLUSION This is the first study to demonstrate differential survival by insurance type, a proxy for poverty exposure, after first relapse of B-ALL. In this large multicenter, real-world cohort, patients with public insurance had worse OS after relapse than those with private insurance. The survival disparity existed independent of other SDOH factors. Adjustment for known high-risk disease features only partially accounted for the observed differences in OS. In contrast, rates of MRD-negative CR2 and receipt of CAR-T and HCT were comparable across insurance types. These findings highlight the urgent need to identify effective interventions that will ensure equitable outcomes after relapse.

Abstract Introduction: Older adults (OAs) with classic Hodgkin lymphoma (cHL) have inferior survival compared with younger patients (pts). NAVD has been widely adopted in clinical practice for frontline (1L) treatment of OAs with advanced stage cHL based on the subset analysis of S1826 study (Rutherford et al, JCO 2025) showing a 1-year progression-free survival (PFS) of 93% and 1-year overall survival (OS) of 95% after NAVD (n = 50) which remained durable on longer-term follow up. Another phase 2 study (Torka et al, JCO 2025) showed that NAVD is a highly effective and well-tolerated 1L regimen in OAs with cHL (n=40) across a wide range of geriatric impairments. Adverse events (AEs) and efficacy have not been reported in OAs treated with NAVD outside of a clinical trial. Hence, we sought to evaluate safety profile and efficacy outcomes of OAs with cHL treated with 1L NAVD in a real-world setting (RWS). Methods This is a multicenter retrospective cohort study of adults (≥18 years) with cHL treated with 1L NAVD between 2023 and 2025 at 20 US academic sites. Baseline characteristics and outcomes of pts ≥60 years were evaluated as a pre-planned subset analysis. The safety evaluable cohort received at least 1 cycle of NAVD and included pts who had not yet completed treatment. The efficacy evaluable cohort had completed 6 cycles of treatment including end of treatment (EOT) PET-CT and included pts who intended to complete treatment but died or discontinued due to progressive disease or AEs. The primary endpoint was EOT overall response rate (ORR). Secondary endpoints included EOT complete response rate (CRR), PFS and OS. PFS and OS were analyzed using the Kaplan Meier method. Results Among 311 pts, 81 were OAs (26%). Median age of the OA cohort was 70 (range 60-88) yrs, 65% male, 84% Caucasian, 71% nodular sclerosis subtype, 58% stage 4 disease, 59% B symptoms, 14% bulky disease (>7.5 cm), 69% extranodal sites, 41% EBV positive, 54% hypoalbuminemia, 49% IPS ≥ 4 and10% had an autoimmune disease. G-CSF was given in 81% pts. All 81 pts were evaluable for safety; 74% experienced a grade 3+ (≥G3) AE, 54% had ≥G3 hematological AE, 48% had ≥G3 neutropenia, 17% had febrile neutropenia. Infection rate was 28% with 10% ≥G3, neuropathy rate was 23% with 4% ≥G3. One infusion reaction was noted. Treatment related hospitalizations rate was 23% with median duration of 7 (range 1-16) days. There were 24 immune related AEs (IrAE) (30%) of which 5 were ≥G3. Most common IrAE was hypothyroidism (n=5), followed by inflammatory arthritis (n=4), pneumonitis (n=2, ≥G3, n=1), hepatitis (n=2, both ≥G3), adrenal insufficiency (n=2, ≥G3, n=1), colitis (n=2), and rash (n=2). One patient each had autoimmune neutropenia, sarcoidosis of lung/skin and myocarditis (≥G3). Overall, 15% pts required steroids with resolution of IrAEs in 56% cases, 30% (n=7) pts required continued therapy (levothyroxine in 4 pts, steroids in 3 pts, medical tx for heart failure in 1 pt). Treatment was interrupted in 22%, reduced in 22%, and discontinued in 23% pts. Nivolumab was discontinued in 14% pts. Among all pts (n=81), 81% had an interim PET-CT after 2-4 cycles. The ORR and CR rate at interim PET-CT were 100% and 81%, respectively. In the efficacy evaluable pts (n=52; 24 still on therapy), the EOT ORR and CRR were 93.2% and 84% in OAs compared to 96.8% and 91.7% in pts <60yrs, respectively. At a median follow up of 10.2 mo (range 0.27-28.52), the 1-yr PFS was 90.6% (95% CI: 82.7%-99.3%) in OAs and 95.5% (95% CI: 91.6%- 99.6%) in pts <60 yrs (p=0.044). 1-yr OS was 97.5% (95% CI: 94.1-100%) and not evaluable in pts <60yrs (p=0.017). None of the baseline features were predictive of response, additional analysis to understand impact on AEs and survival is ongoing. Among the 5 pts with progression/relapse, 4 were primary refractory. 4 pts received 2nd line (2L) therapy.79 pts are alive at data cut off, 2 deaths occurred- 1 infection-related and other unknown; both after the 1st cycle. Conclusions In this largest RWS cohort of OAs treated with NAVD we showed comparable response rates, AEs and 1-year survival outcomes to those in the pivotal S1826 trial. Notably, rates of ≥G3 AEs including infections, neuropathy and IrAEs remained low and manageable. Although survival significantly improved with NAVD compared to historical data, outcomes of OAs remained inferior compared to pts <60 yrs. Our data reinforces the use of NAVD as the preferred 1L option for OAs with advanced stage cHL.

Abstract Introduction: Ciltacabtagene autoleucel (cilta-cel) is a highly effective BCMA-redirected CAR T-cell therapy for RRMM. While the pivotal CARTITUDE-1 trial established a target dose of 0.75 x 10^6 CAR+ viable T-cells/kg, the approved cell dose is 0.5-1.0 x 10^6 and the optimal dosing strategy to balance efficacy and toxicity remains unclear. This question is of interest given that a dose-response association has been demonstrated for idecabtagene vicleucel (a related BCMA-directed CAR T product). It has also been hypothesized that lower doses of cilta-cel may be associated with reduced toxicity. This study aims to evaluate the association between cilta-cel dose and key efficacy and toxicity outcomes using a large, real-world dataset from the US Multiple Myeloma Immunotherapy Consortium. Methods: We conducted a multicenter, retrospective analysis of 751 RRMM patients treated with commercial cilta-cel across 15 US academic centers. The administered cilta-cel dose (million cells/kg) was categorized into four groups: low (<0.5), standard-low (0.5 to <0.6), standard (0.6 to <0.8), and standard-high (0.8 to 1.0). We compared incidence rates of cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), delayed neurotoxicity (DNT), and immune effector cell-associated hemophagocytic lymphohistiocytosis-like syndrome (IEC-HS) across these dose categories using logistic regression. Best response rates and progression-free survival (PFS), estimated using the Kaplan-Meier method, were also compared, with differences assessed using the log-rank test for the latter. Results presented are derived from multivariable models adjusting for extramedullary disease, ECOG status, penta-refractory disease and receipt of bridging therapy. Results: Among 751 infused patients, the dose distribution was: <0.5 (n=33), 0.5 to <0.6 (n=131), 0.6 to <0.8 (n=550), and 0.8 to 1.0 (n=37). The four dose groups were well-balanced in terms of baseline patient and disease characteristics, including age, high-risk cytogenetics, and extramedullary disease, with the exception of t(14;16), which was more common in the standard-low and standard dose groups (p=0.006). There were no statistically significant differences in the rates of any grade CRS (p=0.11), any grade ICANS (p=0.84), grade ≥3 ICANS (p=0.36), duration of CRS (p=0.18) or ICANS (p=0.64), or IEC-HS (p=0.16) across the four dose categories. Time to onset of CRS was shorter for the standard-high dose compared to the low dose (6 days vs. 8 days; p=0.08). Importantly, there was no significant difference in the rate of DNT (3.0%, 9.2%, 8.8%, 5.4%; p=0.24). Similarly, there was no significant difference in overall response rates (97%, 96%, 96%, 88%; p=0.50) or complete response rates (75%, 65%, 75%, 66%; p=0.10) by dose. The median follow-up was 12.3 months (IQR: 6.9, 20.5). For patients who received a standard-low dose (0.5, 0.6), the median PFS was 17.5 (IQR: 13.5, NR) months. For the standard dose range of (0.6, 0.8), the median PFS was 28.7 (95% CI: 19.8, NR) months, while the median PFS for the standard-high dose (0.8, 1.0) was not reached. For the low dose range of <0.5, the median follow up was only 8.7 months, which did not allow reliable estimation of the median PFS. While the overall difference in PFS among the groups did not reach statistical significance by the log rank test, there was a clear trend toward improved PFS with higher cell doses in the multivariable model, with outcomes clearly ordered in the same direction as the cell dose categories. A similar trend was also evident in the rates of 12-month PFS which showed an improvement with increasing dose (62% ,67%, 73%, 80%). Conclusions: In this large, real-world cohort of RRMM patients treated with cilta-cel, a lower cell dose was not associated with reduced incidence or severity of CRS, ICANS, DNT, or IEC-HS. Conversely, a dose-response correlation with PFS was observed, with higher doses trending toward longer median and 12-month PFS. It remains unknown if a lower cell dose in the commercial setting reflects poor T cell quality, yet these findings suggest that dose reduction of cilta-cel may not be an effective strategy to mitigate toxicities and might be associated with a trend toward lower efficacy. Therefore, the standard target dose should be utilized to maximize patient outcomes and further prospective dose exploration is warranted.

Abstract Background: A randomized multicenter trial (BMT CTN 1703) demonstrated that after reduced intensity conditioning HCT, PT-Cy-based GVHD prophylaxis led to significant reductions in acute and chronic GVHD, but was associated with significantly more Grade 2 (moderate) infections and similar overall survival vs Tac/MTX. A linked mechanistic study (BMT CTN 1801) found that PT-Cy led to pan-T cell depletion and reduced T cell receptor (TCR) repertoire diversity vs Tac/MTX. To discover the molecular mechanisms driving the association of PT-Cy with increased infections, we examined pathogen-specific T cell reconstitution in BMT CTN 1801 patients (n=165 PT-Cy, n=159 Tac/MTX). Methods: We performed deep TCR sequencing on 2,369 blood samples collected pre-HCT (recipient baseline) and on Days +7, 14, 28, 63, 100, 180, 270, 365, 730, and from the graft infusion product. We then applied a novel set of TCR classifiers (Adaptive Biotechnologies) capable of identifying pathogen-specific clones associated with CMV, EBV, SARS-CoV-2, HSV-1, HSV-2, parvovirus, RSV, influenza A, rhinovirus, adenovirus, HHV-6B, norovirus and Toxoplasma. Single-cell (sc) TCR/RNA-sequencing on a sample subset (n=26) was performed to determine the phenotype of pathogen-specific T cells. Results. By linking scRNA-seq with pathogen-specific TCR barcoding, we identified CD4 and CD8 memory T cells as their predominant T cell reservoir. We found that the total number of pathogen-specific singleton TCRs was significantly lower with PT-Cy, starting early post-HCT and persisting through 2 years. For example, at Day +14, PT-Cy patients had 7.8-fold fewer pathogen-specific singleton TCRs vs Tac/MTX (mean of 6.9 vs 54.1, p<0.001). Consistent differences between PT-Cy and Tac/MTX were observed for TCRs specific for each pathogen individually. Patients who developed Grade 3 (severe) viral infections had significantly fewer pathogen-specific singleton TCRs at Day +14 compared to those who had no viral infections (mean of 4.0 vs 32.5, p=0.03). Leveraging intrinsic TCR barcoding of the HCT infusion (“graft”) and of the patient's baseline samples (“recipient”), we could assign the graft/recipient origin of the pathogen-specific cells with high fidelity. This analysis revealed pronounced differences in the origin of pathogen-specific T cells with PT-Cy vs Tac/MTX, especially prior to Day +100. The absolute number of pathogen-specific TCRs originating from the graft was significantly higher with Tac/MTX vs PT-Cy. This difference was observed from day +7 through 6 months post-HCT, with up to 7.1-fold more graft-derived pathogen-specific TCRs in Tac/MTX vs PT-Cy (p<0.001 at each timepoint before day +100). Within patients who received Tac/MTX, the balance of graft vs recipient pathogen-specific clones significantly favored graft clones (for example, a mean of 14.9 graft vs 8.6 recipient pathogen-specific TCRs at Day+14, p=0.02). By contrast, with PT-Cy, in addition to having substantially fewer pathogen-specific TCRs overall, the proportion of these TCRs was not significantly different between graft and recipient clones (mean of 2.1 graft vs 3.3 recipient pathogen-specific TCRs at Day+14, p=0.42). These data uncover that, in addition to the reduction in pathogen-specific T cells with PT-Cy, there was a relative skewing of the anti-microbial T cell reservoir towards recipient cells that persisted after conditioning. Conclusions: PT-Cy led to in vivo T cell depletion across all T cell subsets, which prominently included clones tracked from the allograft itself into the HCT recipient, with a relative sparing of recipient T cell clones that survived transplant conditioning. While the mechanism for relative sparing of recipient cells has not yet been determined, these conditioning-exposed cells may be less proliferative than newly infused graft T cells. The depletion of graft T cells included CD4 and CD8 memory cells specific for infections, which may have contributed to relative deficits in protective immunity against infection in patients receiving PT-Cy. Importantly, these data suggest that with PT-Cy, persisting recipient TCRs may play a key role in preserving anti-infectious immunity. Taken together, these results provide a mechanistic basis for key post-transplant clinical outcomes of the landmark BMT CTN 1703 study. They also underscore the importance of recipient immune status with PT-Cy, creating the opportunity for targeted infection risk assessment in these patients.

Abstract Introduction Obecabtagene autoleucel (obe-cel) and brexucabtagene autoleucel (brexu-cel) are CD19 targeted chimeric antigen receptor T cell (CAR-T) therapies, approved for the treatment of adults with relapsed/refractory (r/r) B-cell acute lymphoblastic leukemia (ALL). Mechanistic differences between obe-cel and brexu-cel including differing costimulatory domains (4-1BB vs. CD28), CD19 binding domains (intermediate vs. high affinity) and split dose (Days 1 and 10) vs. single infusion may impact in-vivo cellular kinetics that translate into variant clinical outcomes. In pivotal trials, obe-cel resulted in lower rates of severe cytokine release syndrome (CRS) and immune effector cell associated neurotoxicity syndrome (ICANS) compared to brexu-cel with comparable efficacy (Roddie et al., NEJM 2025; Shah et al., Lancet 2021). Real-world utilization and outcomes with obe-cel are unknown given the relatively recent approval. Methods The ROCCA database, comprising real world data from patients (pts) with r/r ALL treated at 40 North American institutions was utilized in this analysis. Pts with r/r ALL were eligible if they were apheresed for obe-cel since its approval (11/8/2024) or brexu-cel over a comparable period (since 8/1/24) and had at least 30 days of follow up. Data cut off was 7/15/2025. CRS/ICANS were graded per ASTCT criteria. Measurable residual disease (MRD) was assessed by flow cytometry and/or next generation sequencing per institutional standards. Results 38 pts have undergone apheresis for obe-cel (36 infused, all received both infusions) and 54 (53 infused) for brexu-cel over the study period. Pts in the obe-cel and brexu-cel cohorts had the following baseline characteristics: median age, 47 vs. 39 years; ECOG 2+, 15% vs. 26%; Ph+ disease, 24% vs 13%; KMT2Ar, 0 vs. 4%; TP53m, 11% vs 11%, and hypodiploid karyotype, 5% vs 6%. The following prior treatment patterns were observed: median lines of therapy before CAR-T 3 vs. 3; prior SCT 24% vs. 30%, prior blinatumomab 68% vs. 46%, prior inotuzumab 45% vs. 30%. At apheresis, active disease (>5% bone marrow blasts) was present in 47% vs. 55% of obe-cel and brexu-cel pts, respectively; the remainder were in CR (with 18% vs. 22% in MRD- CR, respectively). Among obe-cel (n= 35 [92% of cohort]) and brexu-cel (21 [38% of cohort] pts with disease re-assessment prior to lymphodepletion (LD), 31% vs. 43% had active BM disease, respectively; few pts (24% vs. 17%) had >20% marrow disease burden prior to LD. CAR-mediated toxicity differed significantly between the cohorts. CRS occurred in 56% of obe-cel pts compared to 94% of brexu-cel pts (p < 0.0001). There were no Gr3+ CRS events among the obe-cel pts; 3 (6%) brexu-cel pts had Gr3+ CRS (p = 0.27). ICANS occurred in 17% of obe-cel pts vs. 51% of brexu-cel pts (p = 0.001). Gr3+ ICANS occurred in 6% of obe-cel vs. 32% of brexu-cel pts (p = 0.0027). Among the obe-cel pts, CRS occurred in 31% after the first infusion and 46% after the second; ICANS occurred in 3% after the first infusion and 15% after the second. Prolonged Gr4 neutropenia (ANC < 500 cells/uL beyond day 30 from infusion) occurred in 24% of obe-cel vs. 28% of brexu-cel pts (p = 0.73). Deaths within the first 28 days of infusion occurred in 0 obe-cel pts and 4 brexu-cel pts (2 of infection, 1 of infection/brain bleed, and 1 of liver failure in the setting of Gr4 CRS and HLH). Response rates were high and did not significantly differ between cohorts (p = 0.85). Among the 31 obe-cel pts with available response data, 25 (81%) achieved an MRD- CR/CRi, 3 (10%) had an MRD+ CR/CRi, 2 (6%) had a CR/CRi with unknown MRD, and 1 (3%) did not respond. Among 41 brexu-cel pts with available response data, 33 (80%) had an MRD- CR/CRi, 4 (10%) an MRD+ CR/CRi, and 4 (10%) CR/CRi with unknown MRD. Conclusion Pts selected for obe-cel apheresis were similar to those for brexu-cel over the study period (noting that not all centers had access to obe-cel during this time). Similar to clinical trial results, obe-cel was associated with lower rates of CRS/ICANS. Rates of MRD-negative CR were high and did not differ between cohorts. A larger sample and longer follow up are required for further analyses; we anticipate a cohort of ~75 obe-cel treated pts by the annual meeting and will provide updated data.

Abstract Introduction:A comprehensive integration of significantly mutated genes and pathways with molecular subgroups is lacking in adult B-ALL. Furthermore, the genomic drivers underlying each subgroup remain to be identified.We aimed to perform genomic analysis on a large cohort of patients with adult B-ALL, and to correlate genomic markers with achievement of MRD negativity enabling blinatumomab randomization, and with subsequent response to blinatumomab. Methods:For genomic analysis, we studied 569 adults with newly diagnosed B-ALL registered for initial screening on the ECOG-ACRIN-led E1910 trial (NCT02003222), which evaluated the addition of blinatumomab to standard consolidation chemotherapy. The median age was 52 yrs (range 30 to 71 yrs), with 52% males. Analysis was performed on tumor and matched-normal samples using whole transcriptome sequencing (RNA-seq; tumor only; n=569), whole exome sequencing (n=490), whole genome sequencing (n=131), and single nucleotide polymorphism array (n=445). B-ALL cases were classified into 22 molecular groups. Outcome analysis was limited to patients enrolled and treated on E1910 (n=319). Results: Driver genes (n=268) were identified by the mutation-significance detection tool dNdScv or by the presence of pathogenic variants in known cancer genes, with NUP188 identified as a novel driver gene. Recurrently mutated pathways included: B-cell development (46%), cell cycle (44%), epigenetic regulation (30%), other transcriptional regulation (27%), Ras signaling (25%), RNA machinery (17%) and JAK-STAT signaling (8%). A high frequency of high-risk subtypes was observed including BCR::ABL1 (20%), BCR::ABL1-like (18%), low hypodiploid (14%) and KMT2A (12%). Using tSNE analysis, we identified a new cluster of cases (n=20, 3.5%) lacking a known subgroup driver, with overexpression of CEBPA (n=13) or CEBPB (n=7), distinct from CEBPE/ZEB2, termed “CEBP-altered” ALL (CEBPalt). Five of 13 cases with high CEBPA expression harbored an IGH::CEBPA rearrangement and one harbored a RXRA::CEBPA enhancer hijacking alteration. Of the 7 cases with high CEBPB expression, 5 harbored IGH::CEBPB, and two of these had concomitant clonal BCR::ABL1 fusions. To identify additional mechanisms of CEBP deregulation, in situ Hi-C coupled to H3K27 acetylation immunoprecipitation (HiChIP) was performed on 5 cases. Four cases showed evidence of de novo CEBPA enhancer activity. In two cases, we identified novel insertions (12 and 34nt) ~2kb downstream of CEBPA. A novel translocation and enhancer hijacking event between LINC00426 and the 5' UTR of CEBPB was identified in the remaining case. Overall, we confirmed genomic alterations of CEBPA or CEBPB in 16 of 20 cases with available material. Thus, we have identified a new molecular subgroup of adult B-ALL characterized by genomic alterations that drive enhancer hijacking and oncogenic deregulation of CEBPA/CEBPB. Several subgroups were enriched in patients that failed induction chemotherapy (n=62) or were MRD-positive (n=63) compared to those that achieved MRD-negative status (n=194): BCR::ABL1-like (30 vs 14%, p<0.001), KMT2A (18 vs 9%, p=0.03) and BCL2/MYC (5 vs 1%, p=0.06). Conversely, the following subgroups were enriched in patients that achieved MRD-negativity: PAX5alt (6 vs 18%, p=0.002), TCF3::PBX1 (0 vs 5%, p=0.01) and ZNF384 (2 vs 6%, p=0.08) Within each molecular subgroup we compared the survival of patients who achieved MRD-negative status after induction and were randomized to receive blinatumomab plus chemotherapy (n=93) or chemotherapy only (n=91). Although numbers were low, blinatumomab improved relapse-free survival for patients with hyperdiploid, PAX5alt, BCR::ABL1-like and KMT2A ALL compared to chemotherapy alone. Clonal hematopoiesis of indeterminate potential (CHIP)-related gene mutations were identified in 121 of 417 cases analyzed (29% total: somatic 74%, remission 31%, both 5%). TP53 mutations were most frequent (n=65 patients), with the majority identified in patients with low hypodiploid (n=52). Interestingly, patients with CRLF2 rearrangements collectively harbored the highest number of other CHIP gene mutations (n=13), including DNMT3A (n=4), TET2 (n=3) and ASXL1 (n=3). Conclusions:We provide a comprehensive landscape of genomic alterations in adult B-ALL and identify a new group characterized by deregulation of CEBPA/CEBPB (CEBPalt). We also provide insights into the efficacy of blinatumomab in different molecular subgroups of adult B-ALL.

Abstract Background: Real-world data suggest that safety and efficacy of ide-cel and cilta-cel mirror data from pivotal trials, yet older adults remain underrepresented. We report outcomes of the largest cohort of RRMM patients aged ≥75 years receiving CAR-T and compare them with propensity-matched younger patients. Methods: We retrospectively analyzed RRMM patients receiving standard-of-care BCMA CAR-T at 15 centers from the US Myeloma Immunotherapy Consortium between May 2021 and December 2024. Patients ≥ 75 years were 2:1 propensity-matched to patients < 75 based on CAR-T product, sex, performance status, extramedullary disease, baseline ferritin, penta-refractory status, bridging therapy, prior autologous SCT and lines of therapy. Continuous outcomes were analyzed with multivariable linear regression, binary outcomes with logistic regression, and time-to-event endpoints with Cox proportional-hazards models. We estimated average treatment effects via G-computation, using cluster-robust standard errors to account for the matched sets. Results: After 2:1 propensity matching, the cohort included 194 patients ≥ 75 years (cilta-cel: 64 and ide-cel: 130) and 388 patients < 75 years (cilta-cel: 128, ide-cel: 260). Median ages were 78 (range: 75-90) for the older cohort vs 65 (range: 35-74) for the younger cohort. The older cohort had a higher frequency of t(14;16) (9% vs. 3%, p = 0.005), lower baseline ferritin (151 vs. 196 ng/mL, P = 0.046), and lower likelihood of prior ASCT (57% vs. 71%, P = 0.001). Median prior lines of therapy were 5. Median follow-up time for ≥ 75 and < 75 groups for cilta-cel was 11.5 and 11 months and for ide-cel was 16 and 24.3 months, respectively. ORR did not differ amongst the older vs younger patients: cilta-cel (97% vs. 97%) and ide-cel (90% vs. 88%).For patients ≥ 75 years, median PFS with cilta-cel was 28.7 months (95% CI: 13.3–NR) and with ide-cel was 16.4 months (95% CI: 12.1–22.4). In patients < 75 years, median PFS was not reached for cilta-cel but was 11.5 months (95% CI: 9.6–12.7) for ide-cel, reflecting inferior PFS with ide-cel in the younger group (HR 0.4, 95% CI 0.3–0.6). On sensitivity analysis by Cox proportional hazards model, we did not observe any statistically significant differences in PFS in older vs younger patients receiving cilta-cel, although older patients paradoxically had better PFS with ide-cel compared to their matched younger cohort. In the cilta-cel cohort, HR for PFS for older vs younger patients was 1.48 (95% CI:0.77-2.84; p=0.2) and in the ide-cel cohort it was 0.7 (95% CI: 0.5, 0.98; p=0.04). Median OS was reached only in the < 75-year ide-cel cohort at 40 months (95% CI: 32.5–43.5). Rates of CRS were similar, with any-grade (grade ≥3) CRS seen in 74% vs 78% (0% vs. 0.8%) of cilta-cel recipients and 86% vs. 87% (3.1% vs. 1.5%) of ide-cel recipients in the older vs younger groups, respectively. ICANS rates were 21% vs. 20% for cilta-cel (p = 0.79) and 29% vs 20% for ide-cel (p = 0.07), with similar rates of grade ≥ 3 ICANS. In the cilta-cel cohort, Parkinsonian delayed neurotoxicity (DNT) occurred in 3/62 (4.8%) older patients and 6/128 (4.7%) younger patients. Similarly, other non-Parkinsonian DNT rates were similar across age groups, with 6.4% vs 5.5% in older vs younger cilta-cel cohort and 0% vs 1% in the older vs younger ide-cel cohort. Rates of IEC-HS, and infections were comparable across the cohorts. There was no difference in hospital length of stay and ICU admission rate between products within either age cohort. The overall non-relapse mortality (NRM) was 6.7% for patients ≥ 75 years and 6.2% in patients < 75 years. For cilta-cel, NRM in older vs younger cohort was 9.4% vs 4.7% (p= 0.96) and for ide-cel it was 5.4% vs 6.9%, respectively (p= 0.65). Conclusion: Appropriately selected older adults (≥75 years) receiving CAR-T therapy for RRMM can derive a similar efficacy benefit with CAR-T as a propensity-matched younger cohort, without any increased signal of toxicity including CRS, ICANS or delayed NT. NRM was numerically greater, but not statistically significant, in older adults receiving cilta-cel. Median PFS with cilta-cel and ide-cel in older adults were 28.7 months and 16.4 months with median OS not reached and 40 months, respectively. Older adults, ≥75 years old, should not be excluded from CAR-T therapy solely due to advanced age. Overall, cilta-cel was not associated with worsened toxicities in older adults and may offer better PFS.