Citations

Abstract Introduction: CAR-T therapy has transformed cancer therapy. with its first Food and Drug Administration (FDA) approved product in August 2017. Given the expanding indications and growing experience, particularly with management of immediate toxicities requiring specialized expertise such as Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity syndrome (ICANS), FDA recently removed the Risk Evaluation and Mitigation Strategies (REMS) for CD19 and BCMA targeting CAR-T on June 26th2025. In particular, given that CRS and ICANS typically occur in the first 2 weeks post CAR-T infusion, the minimum required stay near CAR-T treatment center is reduced from one month to 2 weeks. While this could reduce treatment burden for patients (pts) who need to travel away from home to receive CAR-T, there is a need to update the transition of care from CAR-T center to pts' local oncology practice. Pts carry in their rate of recovery and have varying supportive care needs in the second half of the month post CAR-T infusion. To assist with care transition and planning, we examine the use of AI multimodal large language model (LLM) to predict patients' supportive care needs 2 weeks after CAR-T infusion based on the clinical data at the time of CAR-T evaluation, prior to leukapheresis. This timepoint was selected to also maximize travel, lodging and caregiver planning for pts and family as well. Methodology: Pts who were treated with FDA-approved CAR-T at Mayo Clinic Rochester between December 2022 and June 2025 were examined. Based on experiences with referral practices in the Midwest region, we defined patients with high monitoring needs as those who between day 14-30 post CAR-T had either hospital admission due to recurrent CRS or ICANS or required transfusion of more than 1 blood product per week (red blood cell or platelets). Others were classified as low monitoring needs. Clinical notes, labs, vital signs and electrocardiogram at the time of CAR-T evaluation were abstracted and summarized by Gemini LLM for association with patients with high versus low monitoring needs post CAR-T. Model was developed and tested for predicted needs and concordance with actual outcome of these pts. Results: Among the 362 pts who received FDA approved CAR-T in the timeframe, 84 pts had high monitoring needs. An additional 84 pts with low monitoring needs were randomly selected from 278 pts. These were divided into a training cohort and test cohort of 84 pts each, with 42 pts with high and 42 pts with low monitoring needs. Demographics of the two cohorts displayed no statistical difference. LLM analysis of the clinical data at the time of CAR-T eval identified 5 categories associated with risk for high monitoring needs: 1) Disease status (clinical notes about bulky, progressive disease or CNS involvement); 2) inflammatory and tumor burden markers (CRP, LDH); 3) hematologic status (platelet, plt; neutrophil count ANC); 4) renal function; 5) performance status. Using common clinical lab parameter convention (platelets <100, ANC< 1, CrCl< 30ml/min), and prioritizing for not missing pts with high monitoring needs, LLM model was defined to predict patients for high monitoring needs if high risk feature was identified in category 1 or any category combinations; whereas patients with no high risk feature or only 1 category that is not disease status was predicted as low monitoring needs. In this model, the sensitivity was 85.7%, specificity 23.8%, F1 score 65.5%. Applying this model to test cohort 2, the sensitivity was 83.3%, specificity 28.6%, and F1 score 65.4%. Discussion: We demonstrate proof-of-concept that LLM can be used to analyze clinical data at the time of evaluation for CAR-T eligibility to predict for supportive care needs post treatment. Not surprisingly, features identified by LLM to be associated with high monitoring needs are those previously reported by us and others at the time of CAR-T evaluation and or pre-lymphodepletion to be associated with risk for cytopenia, infection, hospitalization and non-relapse mortality. Based on the summary output generated by LLM, additional opportunities for classification methods were identified to improve specificity and balanced accuracy of the LLM model. This is a promising tool for further development to assist clinicians and patients to plan their treatment journey.

Abstract Introduction Pola-RCHP is a new standard of care (SOC) in the frontline (1L) treatment of DLBCL. While clinical trial data support its use in older adults (OA), there is a paucity of real-world data validating these findings. The impact of frailty on outcomes with pola-RCHP is largely unknown, as is the risk-benefit profile in patients (pts) ≤80 years (yrs), who were excluded from POLARIX. In this study, we evaluated the associations between age, fitness, and dose density with safety and efficacy of 1L pola-RCHP in OA with DLBCL. Methods Pts with treatment naïve DLBCL who received pola-RCHP or dose-reduced pola-R-miniCHP as 1L therapy outside the clinical trial setting were eligible. This multicenter retrospective study included pts from 17 US centers. Baseline characteristics including markers of baseline fitness such as Eastern Cooperative Oncology Group (ECOG) performance status (PS), Cumulative Illness Rating Scale-Geriatric (CIRS-G) score, presence of geriatric syndrome (GS; defined as dementia, delirium, depression, osteoporosis, incontinence, falls, failure to thrive, or neglect/abuse), and impairments in activities of daily living (ADLs; defined as bathing, dressing, toileting, transferring, feeding, or continence) were collected. Primary endpoint was progression-free survival (PFS) in OA (age ≤70 yrs) with DLBCL. Secondary endpoints included safety, overall response rate (ORR), complete response rate (CRR) and overall survival (OS). Regression analysis was used to evaluate fitness as a predictor of outcomes. Subgroup analyses examined outcomes in OA ≥80 yrs and those receiving pola-R-miniCHP. Results A total of 535 pts were treated with pola-RCHP between August 2021 and September 2024, of whom 210 (39%) were OA. Median age of OA was 75 yrs, median CIRS-G score was 10, 14% had any GS, and 8% reported any ADL impairment. OA tended to have worse ECOG PS (≥2; 23%, p=0.009) and IPI score (3-5; 77%, p<0.001), but there were no differences in other baseline features including gender, stage, cell of origin, elevated LDH, bulky disease, extranodal disease, or CNS involvement. OA received pola-R-miniCHP more frequently (18% vs 1.5%, p<0.0001) and had similar rates of treatment completion (85%, p=0.2) as pts <70 yrs. Median follow up was 11.3 months. ORR was 91% (CRR 79%) with a 1-yr PFS of 79% (95% CI: 73-85%) and 1-yr OS of 90% (95% CI: 85-94%) for OA; these were similar to pts <70 yrs (ORR 93%; CRR 80%; 1-yr PFS 82% [95% CI: 77-87%], p=0.18; 1-yr OS 91% [95% CI: 88-95%], p=0.53]. OA had higher rates of cardiomyopathy (6.2% vs. 1.5%, p=0.004), grade 3+ (G3+) neutropenia (38% vs. 27%, p=0.013), G3+ thrombocytopenia (22% vs. 11%, p<0.001) and hospitalization (38% vs 26%, p=0.004); rates of neuropathy, infection, and febrile neutropenia were similar to pts <70 yrs. Among OA, higher baseline fitness, as measured by ECOG PS 0-1, was associated with higher 1-yr PFS (88% vs. 63%, p<0.0001) and 1-yr OS (96% vs. 74%, p<0.0001) and a lower rate of hospitalization (30% vs. 65%, p<0.001). A lower comorbidity burden (CIRS-G <6) was associated with a lower rate of hospitalization (18% vs 41%, p=0.041), but did not impact PFS or OS. Impairments in ADLs were also associated with lower OS (78% vs 91%, p=0.03). OA receiving pola-R-miniCHP (n=38) were older (79 yrs vs. 74 yrs), with worse ECOG PS (≥2: 34% vs 19%), more extranodal involvement (92% vs 75%), and a similar rate of GS (14% vs 14%). The rate of hospitalization was higher (45% vs. 36%, p<0.05) but ORR (84% vs. 93%), CRR (79% vs. 79%), 1-yr PFS (85% vs. 78%), and 1-yr OS (87% vs. 90%) were similar. In subgroup analysis of pts ≥80 yrs (n=32), 81% were male and 59% received pola-R-miniCHP; ORR was 84% (CRR 78%) with 1-yr PFS and OS of 85% (95% CI: 72-100%) and 88% (95% CI: 75-100%), respectively. Pts ≥80 yrs had a higher rate of any grade neuropathy (23%, p=0.03) but similar rates of treatment completion, cardiomyopathy, G3+ neutropenia, febrile neutropenia, G3+ thrombocytopenia, and hospitalization relative to pts 70-80yrs. Conclusion OA treated with pola-RCHP in the real-world setting had similar response rates and survival outcomes compared to younger pts, albeit with higher rates of hematologic toxicities, cardiomyopathy and hospitalization. Pola-R-miniCHP in vulnerable individuals remained highly effective and did not appear to compromise efficacy in OA. Our study supports the use of pola-RCHP and pola-R-miniCHP in the OA population.

Abstract Introduction: Reporting patient outcomes by CAR-T treatment centers is part of the accreditation requirement under the FACT (Foundation for Accreditation of Cell Therapy) Immune Effector Cell (IEC) Program standard. Currently, this is a time-consuming and manual process, making it increasingly difficult to sustain with the growing CAR-T applications and patient volume. The objective of this study is to evaluate how a Large Language Model (LLM) can be used to automate the abstraction and summarization of medical record for CAR-T toxicities. Methods: Clinical data from patients treated with CAR-T between January 2018 and June 2025, including hematology clinical notes, lab results, flowsheets, vital signs, and medication administration record, were used as the source of patient information. The American Society of Transplant and Cell Therapy (ASTCT) CAR-T toxicity grading guideline for cytokine release syndrome (CRS) and immune effector cell associated neurologic syndrome (ICANS) were used to define these toxicities. With the large context window of the LLM (Gemini 2.5 pro), we created a prompt by embedding both the patient data and the ASTCT guidelines for CRS and ICANS, along with an outline of specific information we aimed to abstract from the data. Additionally, the LLM was instructed to provide contextual justification for the data it extracted from patient information. The LLM-generated output included event onset date, resolution date, maximum grade, date of maximum grade, and medications given for management. The CRS and ICANS outcome reports generated by the LLM were then compared to the IEC compliance program data. Any discrepancies identified were reviewed manually. Results: Among patients (pt) treated with CAR-T in the specified timeframe, 47 were selected as training cohort. This cohort included pt with toxicities events, no events, and a mix of events of varying grades. For the test cohort, 66 pts who received CAR-T from March to June 2025 were included. Demographics for the training and test cohorts are reflective of evolving clinical practice (training, test cohorts: median age 69, 65; male 55%, 74%; lymphoma/leukemia 66%, 48%; multiple myeloma 34%, 52%; CD19 CAR-T 46%, 50%). Compared to data from the IEC compliance program, the LLM-generated summaries for CRS events demonstrated an accuracy of 90%, precision 95%, sensitivity 100%, specificity 80%, F1 score 97%, and Matthew's correlation coefficient 87%. For ICANS event, the LLM achieved an accuracy of 91%, precision 92%, sensitivity 92%, specificity 90%, F1 score 92%, Matthew's correlation coefficient 83%. Maximum grade, for both CRS and ICANS, were identified with >90% accuracy. However, dates for CRS and ICANS were less accurate, with the lowest accuracy noted in identifying the event resolution date, 45% for CRS and 67% for ICANS. Medical records were reviewed for all discrepancies between the LLM and the IEC Compliance Program data. The most common discrepancy was a mismatch in event resolution date, determined to be due to differing criteria used by the compliance team and the LLM prompt. Of note, a few discrepancies were attributed to missed information by the IEC Compliance Team, which was correctly identified and categorised by the LLM. An updated LLM prompt (LLMv2) was developed and applied to the test cohort. In version 2, the prompt was revised to include clearer instructions on how to summarize CRS and ICANS events, as well as new instructions on additional data elements to be summarized. The performance of LLMv2 on this cohort for CRS event identification was 100% across all categories (accuracy, precision, sensitivity, specificity, F1 score, and Matthew's correlation coefficient). For ICANS the LLMv2 achieved accuracy of 96%, precision 69%, sensitivity 100%, specificity 93%, F1 score 82%, Matthew's correlation coefficient 80%. Accuracy in identifying event resolution date improved significantly from 64% to 99%. Conclusions: Our study demonstrates that LLMs can significantly reduce the time required to abstract and summarize CAR-T toxicities, while maintaining high accuracy. One limitation of our study is that it is based on data from a single institution. However, plans are already underway to evaluate the use of LLMs in a multi-institutional setting.

Abstract Background: While mutations in the fms-like tyrosine kinase 3 (FLT3) gene are well-established adverse drivers in acute myeloid leukemia (AML), their role in myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) remains insufficiently defined. Methods: We conducted a retrospective multicenter study of 115 patients with FLT3-mutated (FLT3mut) MDS (n=63) or CMML (n=52), comparing their clinical, genomic, and therapeutic characteristics at diagnosis or first referral to 677 FLT3 wild-type (FLT3wt) controls (MDS n=388; CMML n=289) using multivariate analyses and propensity score matching (PSM). Results: FLT3mut MDS and CMML exhibited a proliferative phenotype with higher leukocyte and neutrophil counts and lower platelet levels (p<0.02); in MDS, median white blood cell counts remained below 13,000/µL. In MDS, FLT3mut cases were enriched in the MDS with increased blasts subtype (57% vs 39%, p=0.01) and favorable-risk cytogenetics (64% vs 41%, p<0.01). Genomically, FLT3mut MDS showed higher frequencies of NRAS, KRAS, PTPN11, RUNX1 and CBL co-mutations (p<0.05), and a markedly lower prevalence of TP53 mutations (2% vs 36%, p<0.001). In CMML, FLT3mut cases were more often transfusion-dependent (50% vs 23%, p<0.01), classified as CMML-2 (39% vs 25%, p=0.04), and enriched in ASXL1 (68% vs 47%; p<0.01) and SETBP1 (24% vs 8%; p<0.01) mutations. Notably, they exhibited multi-hit TET2 mutations less frequently than FLT3wt CMML (27% vs 53%, p=0.01). After adjusting for age, sex, and allogeneic stem cell transplantation, FLT3 mutations were independently associated with worse outcomes. To further assess the prognostic impact of FLT3 mutations, we conducted PSM analyses using a 1:1 ratio of FLT3mut to FLT3wt patients, adjusting for key clinical and biological confounders. In MDS, matching was based on age, sex, bone marrow blast percentage, and cytogenetic risk category; in CMML, variables included age, CMML-2 subtype, peripheral blood counts, normal karyotype, and ASXL1 mutation status. After matching, FLT3mut MDS cases showed significantly shorter overall survival (OS; 19.9 vs 44.2 months, p=0.046) and leukemia-free survival (LFS; 13.8 vs 37.1 months, p=0.023) compared to FLT3wt patients. Similarly, in CMML, FLT3mut patients experienced inferior OS (30.4 vs 67.2 months, p=0.017) and LFS (17.2 vs 65.6 months, p=0.014). Competing risk models confirmed a markedly increased cumulative incidence of AML transformation in both FLT3mut MDS and CMML (p<0.001), without significant differences in the risk of non-leukemic death. Among FLT3mut cases, tyrosine kinase domain mutations (FLT3-TKD) were associated with superior survival compared to internal tandem duplications (FLT3-ITD; MDS hazard ratio [HR]: 0.28, p=0.003; CMML HR: 0.34, p=0.012). FLT3 allelic ratio (AR), assessed by conventional PCR in 63 patients (MDS n=34, CMML n=29), provided additional prognostic value. An AR ≥0.21 identified a subgroup with significantly shorter OS (MDS: 24.4 vs 38.8; CMML: 6.7 vs 30.4 months) and LFS (MDS: 9.0 vs 18.5 months; CMML: 5.8 vs 30.4 months; all p<0.05), supporting the utility of quantitative FLT3 assessment in clinical risk stratification. FLT3 inhibitors (FLT3i) were administered in combination with hypomethylating agents (HMA) to 16 (27%) FLT3mut MDS and 15 (33%) CMML patients. Compared to HMA, FLT3i treatment was associated with higher overall response rates (MDS: 69% vs 22%, p<0.01; CMML: 73% vs 35%, p=0.06). Molecular clearance, defined as post-treatment reduction in AR to ≤0.01, was observed more frequently with FLT3i than with HMA (MDS: 56% vs 10%, p=0.03; CMML: 60% vs 20%, p=0.09). FLT3 clearance was associated with prolonged survival. In MDS, median OS and LFS were 66.0 vs 14.5 (p=0.12) and 29.0 vs 9.9 months (p=0.056), respectively; in CMML, it was 37.6 vs 14.6 months for both OS (p=0.043) and LFS (p=0.032). Conclusions: This study expands the current understanding of FLT3mut MDS and CMML by characterizing their clinical, molecular, and therapeutic features in the largest multicenter cohort reported to date. These cases exhibit a proliferative phenotype, frequent co-mutations in RAS pathway genes, and an elevated risk of leukemic transformation. Quantitative assessment of FLT3 allelic burden refines prognostication beyond mutation status alone. The observed associations between FLT3 inhibitor use, molecular clearance, and improved outcomes support further evaluation of targeted strategies in selected patients.

Abstract Background: Undetectable minimal residual disease (uMRD) at the end of first-line (1L) treatment (tx) with 12-cycles (C) of venetoclax (ven) + obinutuzumab (obin) is associated with prolonged survival for patients (pts) with chronic lymphocytic leukemia (CLL, Al Sawaf et al. Blood 2024). We hypothesized that MRD may be used to guide ven tx duration for CLL pts treated with 1L ven + obin. Methods In this ongoing phase II, multicenter investigator-initiated study, pts receive ven + obin for 1L tx of CLL/small lymphocytic lymphoma (NCT04447768). Eligible pts have a CIRS score of ≤ 6 and require 1L tx per iwCLL 2018 criteria. Pts receive 6 x 28-day C of obin and initiate ven on C1D22. Ven duration is dependent on peripheral blood (PB) MRD status measured by ClonoSeq next generation sequencing. At C7, pts undergo MRD testing. Pts uMRD6 (<10-6 sensitivity) at both C7 and C9 dc ven after 9C and enter treatment free observation (TFO). Pts with detectable MRD6 (dMRD6) at C7 undergo repeat testing at C12; if uMRD5 (<10-5) pts dc ven after 12C. Pts dMRD5 at C12 continue ven for an additional 12C (24C total) prior to TFO. The primary study endpoint is 36-month PFS; the unpromising rate is set at 82% and will be tested by a nonparametric survival estimate (Kaplan-Meier) along with Greenwood's formula. RNA sequencing (RNAseq) was performed pre-tx on patient bone marrow (or PB if inaspirable) samples. Unsupervised clustering using machine learning (ML) based on consensus nonnegative matrix factorization was applied to the most variable genes to identify patient clusters. Clusters were then biologically characterized by gene signature scoring using xCell algorithm and assessed for association with uMRD6 at C7 using a Fisher exact test. Results Baseline characteristics of the 100 pts who initiated tx include: median age 58 (range 34-81); 71% male, 90% White, 3% Black and 2% Asian, 5% unknown; 49% IGHV unmutated, 16% TP53 mutation, 8% del17p (previously reported, Roeker et al. ASH 2024). 3 pts stopped tx prior to C7. 51 pts were uMRD6 at C7 and C9 and completed 9C ven. 46 pts were dMRD6 at C7; 6 pts stopped tx outside of meeting protocol requirements and are included in intention-to-treat (IIT) analyses. 32 pts were uMRD5 at C12 and dc ven after 12C. 8 pts were dMRD5 at C12: 5 continued ven per protocol (3 completed 24C ven, 2 ongoing tx as of 15 May 2025 data cut-off), 2 stopped ven outside of protocol requirements (included in ITT analyses), and 1 pt withdrew consent. At a median follow-up of 35 months, the 36-month PFS rate is 90% (95% CI: 84%, 97%). 36-month OS is 94% (95% CI: 89%, 99%). Landmark PFS analyses from EOT were performed for pts who dc ven after 9C due to uMRD6 (24-month PFS 92%, 95% CI: 85, 100%, n=51) and pts who dc ven after 12C due to uMRD5 (24-month PFS 96%, 95% CI: 89%, 100%, n=32). For pts dc ven after 9C due to uMRD6 (n=51), PB MRD at 12C after EOT was: 59% uMRD6, 12% uMRD5, 4% uMRD4, 8% dMRD4 and 18% unknown. For pts dc ven after 12C due to uMRD5 status (n=32), PB MRD at 12C following EOT was: 9% uMRD6, 31% uMRD5, 9% uMRD4, 25% dMRD4 and 25% unknown. Of the 5 pts with PD, 3 pts have had Richter Transformation to diffuse large B-cell lymphoma (all uMRD6 at C7 / 9). Two pts with PD have not met iwCLL tx criteria and remain in TFO. Five pts have died (suicide, West Nile encephalitis, COVID-19, complications of glioblastoma and RT DLBCL). Five C12 dMRD5 pts who continued ven have reached C18, with only 1 of 5 converting to uMRD5 in PB. However, all 5 maintained uMRD4 (<10-4). Of 3 pts that completed 24C ven (2 ongoing tx), 1 pt had deepening of response to uMRD5 at C24, and 2 pts had rising MRD on ven (dMRD4 at C24). To investigate patient heterogeneity at baseline and its relationship to uMRD, we clustered patient RNAseq samples into two clusters using artificial intelligence/ML based unsupervised clustering. The clusters associated with uMRD6 at C7 (Fisher exact test p=0.038), and patients in the cluster with significantly higher immunosuppressive cells such as T-regulatory cells and M2 macrophages were less likely to be uMRD6 at C7. Conclusions At a median follow-up of 35 months, the estimated 36-month PFS rate is 90%. RNAseq transcriptomic analyses identified that patients with enriched immunosuppressive cells were less likely to be uMRD6 at C7. Additional follow-up is required to confirm the durability of this MRD-guided ven + obin tx strategy.

Abstract Introduction: The first-generation BCL2 inhibitor,venetoclax, is an effective treatment for CLL/SLL, but its usage may be limited by toxicity. Sonrotoclax, a next-generation BCL2 inhibitor, is a more selective and pharmacologically potent inhibitor of BCL2 than venetoclax, with a shorter half-life and no drug accumulation. BGB-11417-101 (NCT04277637) is an ongoing, phase 1/1b, dose-escalation/expansion study in patients with B-cell malignancies. Presented here are preliminary data for sonrotoclax + obinutuzumab in patients with treatment-naive (TN) CLL/SLL in BGB-11417-101. Methods: Obinutuzumab is administered intravenously at 100 mg on day (D) 1, 900 mg on D2, 1,000 mg on D8 and D15 of cycle (C) 1, and then 1,000 mg on D1 of C2-6 of each 28-day cycle. Beginning on C2D1, sonrotoclax is administered orally once daily with ramp-up to the target doses, 160 or 320 mg. Patients can continue treatment until progressive disease (PD), unacceptable toxicity, or undetectable minimal residual disease (uMRD4; <1 CLL cell per 10,000 leukocytes [<0.01%]) in peripheral blood (PB) by next-generation sequencing (NGS; ClonoSEQ) after 15 treatment cycles. Study endpoints include safety per NCI-CTCAE v5.0, overall response rate (ORR) per iwCLL guidelines, and MRD status in PB per modified ERIC flow cytometry (FC) assay or NGS, depending on the timepoint. Tumor lysis syndrome (TLS) is assessed per Howard (2011) criteria. Results: As of May 16, 2025, 55 patients with TN CLL/SLL were enrolled (160 mg, n=20; 320 mg, n=35), and 21 patients (all 320 mg) have discontinued sonrotoclax + obinutuzumab (due to uMRD4 per NGS as protocol-mandated [n=17], PI decision uMRD4 per FC [n=2], and PD [n=2]). Four patients discontinued obinutuzumab only per PI decision (160 mg, n=1), thrombocytopenia (320 mg, n=2), and prostate cancer prior to starting sonrotoclax (160 mg, n=1). For all patients, the median age was 62 y, 65% were male, and 89% were White. At baseline, 14% of patients (8/55) had high tumor burden and 58% (31/53) had unmutated IGHV. Median study follow-up was 8.9 months (range, 0.4-25.4 months) for all patients; 6.4 months (range, 0.4-9.0 months) for 160 mg; and 16.0 months (range, 2.9-25.4 months) for 320 mg. Maximum tolerated dose was not reached. The most common any-grade treatment-emergent AEs (TEAEs) were thrombocytopenia (56%), infusion-related reaction (56%), and neutropenia (49%). Neutropenia was the most common grade ≥3 TEAE (38%). No deaths due to TEAEs occurred, and no TEAEs led to sonrotoclax discontinuation. Two cases of laboratory TLS occurred after C1D1 of obinutuzumab prior to starting sonrotoclax; no clinical or laboratory TLS occurred during sonrotoclax ramp up. No meaningful safety differences were observed among sonrotoclax dose cohorts. In 37 efficacy-evaluable patients (160 mg, n=7; 320 mg, n=30), the ORR was 89%; for the 320-mg cohort, ORR was 93% (28/30). Complete response (CR) rates (CR + CR with incomplete marrow recovery [CRi]) were 46% (all patients) and 43% (320 mg). For 23 patients in the 320 mg cohort who reached the C15 MRD assessment, the best C15 uMRD4 rate per FC was 87% (20/23; 2 not evaluable; 1 missing); per NGS, the uMRD4 rate at C15 was 78% (18/23; 5 missing). All patients with an available C15 MRD assessment achieved uMRD4 and remain in remission as of the data cutoff date. The median time from reaching sonrotoclax target dose to uMRD4 was 2.3 months (range, 1.4-5.6 months) in the 320-mg cohort. Three patients experienced PFS events: 1 died from an indeterminate cause (160 mg, discontinued treatment after C1D9 of obinutuzumab) and 2 had PD (320 mg; both Richter's transformation at C6 and C2). Conclusions: Sonrotoclax + obinutuzumab was generally well tolerated in patients with TN CLL/SLL, with no sonrotoclax discontinuations or deaths due to TEAEs. No laboratory or clinical TLS events occurred during sonrotoclax ramp-up. Encouraging antitumor activity was observed with sonrotoclax 320 mg. High rates of blood uMRD4 occurred early and deepened over time. All patients with an available C15 MRD assessment by NGS or FC achieved uMRD4 and remain in remission. A registrational phase 3 study (CELESTIAL-RRCLL, BGB-11417-303) assessing this combination with sonrotoclax 320 mg is currently recruiting.

Abstract Introduction Diffuse large B-cell lymphoma (DLBCL) is a heterogenous disease with varied expressions of CD30. Brentuximab vedotin (BV) is a CD30-directed antibody-drug conjugate approved for treatment of patients with relapsed or refractory DLBCL in combination with lenalidomide (Len) and rituximab (R). In the phase 3 ECHELON-3 study (NCT04404283), BV + Len + R showed significant overall survival (OS) benefit compared with placebo + Len + R in patients with relapsed or refractory DLBCL. Subgroup analysis from this study showed that BV + Len + R provided clinical benefit regardless of CD30 expression level. We hypothesized that even sub-threshold levels of CD30 expression, below the detection limits of immunohistochemistry (IHC), may be sufficient to elicit the antitumor activity of BV. Here, we further investigated whether trace amounts of CD30 staining are required for patients to benefit from BV + Len + R. Methods In the ECHELON-3 study, patients with relapsed or refractory DLBCL were randomized 1:1 to receive BV + Len + R or placebo + Len + R. The primary endpoint was OS, with progression-free survival (PFS) and objective response rate (ORR), per Lugano 2014, as key secondary endpoints. CD30 expression was assessed by IHC by central and/or local testing. CD30 positivity was scored as the percentage of CD30 positive cells out of neoplastic cells or out of total lymphocytes, when neoplastic cells could not be distinguished. In this updated analysis, patients with CD30 <1% staining by central laboratory IHC were further grouped into CD30 <1% with trace staining and CD30 <1% with no staining. Results Overall, 60 patients in the BV + Len + R group had CD30 <1% expression; of these, 34 had CD30 <1% with trace staining and 26 had CD30 <1% with no staining. In the placebo + Len + R group, 63 patients had CD30 <1% expression; of these, 36 had CD30 <1% with trace staining and 27 had CD30 <1% with no staining. In the overall CD30 <1% groups, numerically greater OS and PFS benefits were observed with BV + Len + R vs placebo + Len + R (HR for OS, 0.57; 95% CI, 0.36-0.89 and HR for PFS, 0.53; 95% CI, 0.34-0.82). In patients with CD30 <1% with trace staining, BV + Len + R showed a numerically higher OS compared with placebo + Len + R, with HR of 0.48 (95% CI, 0.26-0.90); median OS was 15.6 vs 5.2 months. In patients with CD30 <1% with no staining, there was a trend toward higher OS with BV + Len + R vs placebo + Len + R, with HR of 0.66 (95% CI, 0.34-1.28); median OS was 14.8 vs 11.8 months. Similarly, in patients with CD30 <1% with trace staining, BV + Len + R showed a trend toward longer PFS compared with placebo + Len + R, with HR of 0.60 (95% CI, 0.33-1.11); median PFS was 2.8 vs 1.5 months. In patients with CD30 <1% with no staining, a numerically longer PFS benefit was observed with BV + Len + R vs placebo + Len + R, with HR of 0.41 (95% CI, 0.21-0.79); median PFS was 4.2 vs 2.7 months. In the overall groups, ORR was 60.0% with BV + Len + R and 34.9% with placebo + Len + R. Higher ORR was observed with BV + Len + R compared with placebo + Len + R in both CD30 <1% with trace staining (55.9% vs 25.0%) and CD30 <1% with no staining (65.4% vs 48.1%) groups. Conclusions Results from this updated analysis indicate that visible CD30 detection by IHC is not required for response to BV + Len + R in patients with relapsed or refractory DLBCL. Treatment with BV + Len + R showed efficacy benefit compared with placebo + Len + R regardless of CD30 expression level, including in patients with no visible CD30 IHC staining. These results are consistent with those from the overall ECHELON-3 study population, in which significant improvement in OS was demonstrated with BV + Len + R compared with placebo + Len + R.

Abstract Introduction: Axi-cel, an autologous anti-CD19 CAR T-cell therapy has shown high and durable response rates and a manageable safety profile among R/R FL pts in the ZUMA-5 trial (Jacobson et al. 2022; Neelapu et al. 2024). Evidence from real-world data showed favorable early outcomes in a broader population using CIBMTR data, with comparable outcomes by ZUMA-5 eligibility, age, lines of therapy (LOT), and prior bendamustine (benda) use (Jacobson et al. 2023). This study investigated long-term outcomes and the association between age, performance status, comorbidities, and therapies given prior to infusion among R/R FL pts treated with axi-cel. Methods: Pts with R/R FL who received commercial axi-cel between 03/2021–10/2023 in the US were identified from the CIBMTR® registry; pts without consent, with prior non-transplant cellular therapy, and FL grade 3B or 3A/3B unspecified or unknown were excluded. Descriptive analyses were done among all pts and by age at infusion (<65 vs ≥65 y), Karnofsky performance score (KPS), presence of hepatic, cardiovascular (CV), or moderate to severe pulmonary comorbidities, prior treatments (benda pre-leukapheresis, autologous hematopoietic stem cell transplant [autoHSCT]), and lymphodepletion (LD) therapy. Multivariable (MV) Cox and logistic regression were used to adjust for confounders. Results: In total, 238 pts from 68 centers were included (data cut-off October 2024). Median age at infusion was 61 yr (range, 29-83; ≥65 yr, 38%), and 79% were non-Hispanic White. KPS of pts was ≤70% (11%), 80% (35%), or 90-100% (54%); 2% had ECOG ≥2. Most (75%) had ≥1 clinically significant comorbidity (hepatic, 6%; CV, 15%; pulmonary, 18%). Median (min, max) prior LOT was 4 (1,13); 74% received benda pre-leukapheresis, and 6% had benda LD therapy. At a median follow-up of 24.1 months, objective response rate (ORR) was 96% (complete response [CR] rate, 91%). The 2-yr (95% CI) DOR, PFS, and OS were 70% (63-77), 64% (57-71), and 84% (78-89) respectively. Grade ≥3 cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) occurred in 4% and 18% of pts (any grade, 74% and 42%), respectively. Prolonged cytopenias by day 30 occurred in 14% of pts (neutropenia [10%] and thrombocytopenia [8%]) while 29% had clinically significant infections at 6 months. Second primary malignancies occurred in 16 pts (7%), with 7 (2%) being therapy-related myeloid neoplasm. The leading primary causes of death (n=34) were relapse/progression (10; 29%), organ failure (7; 21%), and infection 5 (15%). Cumulative incidence of non-relapse mortality at 2-yr was 9%. Outcomes were generally comparable among age, autoHSCT, and comorbidity subgroups. However, effectiveness outcomes differed by prior benda use (Yes vs No): ORR (95% vs 98%); CR (88% vs 98%); DOR (65% vs 89%), PFS (58% vs 84%), and OS (82% vs 91%) at 2 years. By LD therapy (single agent benda vs cyclophosphamide + fludarabine [Cy + Flu]): the ORR was 93% vs 96%; CR rate was 57% vs 93%. On MV analysis, prior benda use was associated with (OR/HR [95% CI]): worse CR (0.02 [<0.01-0.43]), DOR (3.69 [1.51-9.02], and PFS (2.21 [1.12-4.38]). Pts given benda LD therapy had (OR/HR [95% CI]): worse CR rate (0.02 [<0.01-0.16]), DOR (7.59 [2.33-24.72]), and PFS (4.89 [1.79-13.39]) compared to those who received Cy + Flu. CRS and ICANS were lower among those with prior benda use (Yes vs No): any-grade CRS (70% vs 87%); Grade ≥3 CRS (3% vs 8%); any-grade ICANS (36% vs 61%); and grade ≥3 ICANS (17% vs 25%). By LD therapy (single agent benda vs Cy + Flu): the Grade ≥3 CRS and ≥3 ICANS were 0% vs 5% and 7% vs 19% respectively. Any-grade ICANS was higher among those aged ≥ 65 yr vs <65 yr (53% vs 35%). On MV analysis, pts who had prior benda use were less likely to have any-grade CRS (0.30 [0.12-0.75]), and any-grade ICANS (0.23 [0.11-0.50]. Pts ≥ 65 yr had higher any-grade ICANS (2.31 [1.18 – 4.50]). Summary/Conclusion: This long-term follow up of axi-cel in R/R FL shows durable responses and manageable safety similar to ZUMA-5. Outcomes among the elderly and those with comorbidities were generally comparable to the overall R/R FL population. Although benda use pre-leukapheresis was associated with less durable responses, we were unable to determine whether this association is limited to use close to axi-cel infusion, as data on timing of use was unavailable. The associations for benda LD should be interpreted with caution given the small sample size.

Objective: Generative artificial intelligence is rapidly evolving and is now being explored in health care to support patient and clinician education. This study evaluated the accuracy, completeness, and readability of four large language models (LLMs): ChatGPT 3.5, Gemini, ChatGPT 4.0, and OpenEvidence in answering questions about menopause and hormone therapy. Methods: A total of 35 questions (20 patient-level, 15 clinician-level) were entered into each LLM. OpenEvidence was only used for clinician-level questions. Four blinded expert reviewers rated responses as accurate and complete, accurate but incomplete, or inaccurate. Readability of patient-level responses was assessed using the Flesch Reading Ease Score (FRES) and word count. Analysis used ANOVA for readability, odds ratios for accuracy comparisons. Results: For patient-level questions, ChatGPT 3.5 achieved the highest accuracy (70%), followed by ChatGPT 4.0 (60%) and Gemini (30%); Gemini had significantly lower odds of accuracy compared with ChatGPT 3.5 (OR=0.18, 95% CI=0.05-0.71; P =0.014). FRES scores differed significantly ( P <0.001): Gemini scored 38.9±7.3 (“difficult”), ChatGPT 3.5 scored 31.0±11.2, and ChatGPT 4.0 scored 26.5±8.6 (both “very difficult”). For clinician-level questions, ChatGPT 4.0 achieved the highest accuracy (67%), followed by ChatGPT 3.5 and OpenEvidence (60% each) and Gemini (47%); no significant differences were observed among models (all P >0.05). Conclusion: LLMs demonstrated limited accuracy and frequent incorrect or incomplete responses to menopause-related queries, highlighting the need to improve model performance to ensure accurate and reliable information for both patients and clinicians.

Importance Assisted ventilation during delayed cord clamping (DCC) may improve the physiologic transition of extremely preterm infants immediately after birth. Objective To determine whether assisted ventilation during 120 seconds of DCC was associated with reduced higher-level resuscitative interventions (intubation, chest compressions, or epinephrine administration) compared with DCC for 30 to 60 seconds followed by resuscitation. Design, Setting, and Participants This was a secondary analysis of the VentFirst randomized clinical trial that was conducted from September 2, 2016, through February 21, 2023, at 12 centers in the US and Canada. Infants born at 23 weeks 0 days’ to 28 weeks 6 days’ gestational age (GA) were included. Intervention Infants randomized to the intervention received either positive-pressure ventilation or continuous positive airway pressure from 30 to 120 seconds after birth, followed by umbilical cord clamping. Those randomized to control received 30 to 60 seconds of DCC followed by assisted ventilation. Main Outcomes and Measures The main outcome was the odds of higher-level resuscitative interventions in the delivery room (DR). Intention-to-treat analyses within 2 a priori cohorts (infants breathing well and not breathing well 30 seconds after birth) used the Cochran-Mantel-Haenszel method to estimate the odds ratios (ORs) of intervention vs control. Results All 570 infants enrolled in the trial were included. Infants had a median (IQR) GA of 26.6 (25.2-27.9) weeks and 273 (47.9%) were female. A total of 271 infants (47.5%) were assessed as not breathing well 30 seconds after birth (150 intervention and 121 control), and 299 (52.5%) were assessed as breathing well 30 seconds after birth (128 intervention and 171 control). In the not-breathing-well cohort, 146 infants (53.9%) were intubated in the DR, 4 received chest compressions (2 intervention and 2 control), and 1 received epinephrine (control). Intubation was less frequent in the intervention group (71 infants [47.3%] vs 75 infants [62.0%]; OR, 0.52; 95% CI, 0.30-0.89). When adjusted by GA strata at randomization, infants in the 26 to 28 weeks’ GA stratum who were in the intervention group were less likely to be intubated in the DR (18 of 79 infants [22.8%] vs 29 of 60 infants [48.3%]; OR, 0.32; 95% CI, 0.15-0.65). However, there was no difference in intubation rates for infants in the 23 to 25 weeks’ GA stratum (53 of 71 infants [74.7%] vs 46 of 61 infants [75.4%]; OR, 0.96; 95% CI, 0.44-2.12). Among infants breathing well at 30 seconds, 74 (24.7%) were intubated in the DR, and none received compressions or epinephrine. Intubation rates were similar between intervention and control in the breathing-well cohort. Conclusions and Relevance While the VentFirst trial did not find a difference in death or intraventricular hemorrhage, this secondary analysis found that assisted ventilation during DCC was associated with less intubation in the DR, primarily among infants born at 26 to 28 weeks’ gestation who were not breathing well 30 seconds after birth. Additional studies are needed before implementing assisted ventilation during DCC in clinical practice. Trial Registration ClinicalTrials.gov Identifier: NCT02742454