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Background: Mutations of isocitrate dehydrogenase (IDH) are recurrent in acute myeloid leukemia (AML) and the prevalence increases with age. The prognostic impact of IDH1 and IDH2 mutations remains controversial. IDH inhibitors are small molecules that bind within the IDH enzymatic active site, blocking aberrant 2-hydroxyglutarate production and inducing myeloid differentiation. While they can lead to differentiation syndrome, they generally have a more favorable side-effect profile, making them an attractive option for older patients. We aimed to describe the prevalence and prognostic impact of IDH mutations in newly diagnosed (ND) AML patients ≥ 60 years in a large cohort of patients treated on a Leukemia and Lymphoma Society-sponsored trial. Methods: We performed a retrospective observational analysis including patients ≥ 60 years with ND AML who were enrolled on the Beat AML clinical trial (NCT03013998) before May 10, 2023. Patients were treated with a variety of treatment regimens. Cytogenetic analysis and next-generation sequencing (FoundationOne®Heme) were obtained. Mutations were considered present at any detectable VAF. Cox proportional hazard models were used to describe the relative risk of each variable on death over time from the date of trial inclusion. Results: A total of 1023 patients with ND AML were identified. Patients had a median age of 72 (range 60-92) years and the majority were non-Hispanic White (83.2%), and male (57.6%). Ninety-nine (9.7%) patients were IDH1MUT, 193 (18.9%) patients were IDH2MUT including 10 (1.0%) patients with a co-occurring IDH1 and IDH2 gene mutations. Both IDH1MUT and IDH2MUT were associated with 2022 ELN favorable-risk (26.3% and 22.3% for IDH1 and IDH2 respectively, vs 15.5% overall (P<0.001)). IDH1MUT significantly co-occurred with DNMT3AMUT (42.4%), NPM1MUT (44.4%) and less frequently with TP53MUT (10.1%) (P<0.001 for all). IDH2MUT was associated with DNMT3AMUT (35.8%), NPM1MUT (31.1%), SRSF2MUT (38.3%), and less frequently with TET2MUT (6.7%) and TP53MUT (9.3%) (P<0.001 for all). Normal karyotype was higher in IDH1MUT (P<0.001) and IDH2MUT (P<0.001), whereas complex karyotype (P<0.001 for both) and core-binding factor AML (P=0.047, P=0.015) were lower in IDH1MUT and IDH2MUT. To evaluate the impact of IDH mutations in patients ≥ 60 years, we focused on patients evaluable for outcome treated with lower-intensity therapy (LIT) (N=674), and intensive chemotherapy (IC) (N=178), separately. Among the LIT treated patients, 96 patients received treatment with an IDH inhibitor, and 237 patients received a hypomethylating agent (HMA) plus venetoclax. For patients treated with LIT, the hazard ratios (HRs) of death over time were 0.58 [95% CI 0.47-0.72; P<0.002], 0.81 [95% CI 0.59-1.13; P=0.214] and 0.56 [95% CI 0.44-0.72; P<0.001] for IDHMUT, IDH1MUT, IDH2MUT respectively. Among patients receiving IC, the HRs were 1.05 [95% CI 0.68-1.69; P=0.777], 0.70 [95% CI 0.31-1.61; P=0.406] and 1.27 [95% CI 0.77-2.1; P=0.352] for IDHMUT, IDH1MUT, and IDH2MUT respectively. The HR of death for IDH1MUT patients treated with LIT with the addition of an IDH1 inhibitor (N=24) was significantly lower (HR 0.47 [95% CI 0.24-0.92; P=0.027] vs IDH1MUT patients treated without an IDH1 inhibitor, while an IDH2 inhibitor did not change survivial outcomes in patients with IDH2MUT (N=71). Discussion: To our knowledge this is the largest retrospective study characterizing the prevalence of IDH mutations in patients ≥ 60 years with AML. We demonstrated that IDH mutations were detected in ~27% of older patients with AML. Although there could have been selection bias as the Beat AML study had separate IDHMUT study arms, these findings are concordant with other studies showing an increase in frequency of IDH mutations with age. IDH2MUT was associated with a lower HR of death among patients treated with LIT, which was not seen in patients receiving IC. The high prevalence of IDH mutations suggests that IDH inhibitors used as single agents or in combination with lower-intensity therapies are an important class of drugs for this older patient population as they are generally well tolerated, that need further investigation.

Background: Teclistamab (Tec) received regulatory approval for the treatment of relapsed refractory multiple myeloma (RRMM) based on the MajesTEC-1 study. The risk of CRS and ICANS with Tec is well established with a manufacturer's recommendation of inpatient observation for 48-hours for CRS/ICANS monitoring after the initial 3 step up doses. There are limited real-world data on the characteristics of and risk factors for CRS and ICANS with Tec. Such data could inform management of Tec patients (pts), including patient selection for inpatient or outpatient step-up dosing. Methods: RRMM pts treated with standard-of-care Tec across 13 U.S. academic institutions were included in this analysis. The follow-up data cutoff was 30 April 2024. CRS and ICANS classification was based on the American Society for Transplantation and Cellular Therapy consensus grading criteria. Multivariable logistic regression models were fitted to estimate the effects of covariates on CRS and ICANS events, with a particular focus on grade ≥2 CRS, any-grade ICANS, and the combination of CRS grade ≥2 and/or any-grade ICANS. Results: 385 pts were included in the analysis, with a median of 6 lines of prior therapy. Median age was 68 years (range 31-92), 88 patients (25% of pts with available data) had ECOG ≥2, and 301 pts (78%) would have been ineligible for MajesTEC-1. 48 (33%) of 145 evaluable pts with a baseline bone marrow (BM) prior to Tec had >50% BM plasma cells, 139 pts (36%) had extramedullary disease (EMD) (either paraskeletal or true-EMD) and 5 pts (1%) had plasma cell leukemia prior to start of Tec. 224 pts (59%) received Tec with an accelerated step-up dosing regimen, defined as having at least one step-up dose interval of ≥ 2 days. 220 pts (57%) developed any-grade CRS [Grade 1: 46% (N=179), grade 2: 10% (N=37), grade 3: 0.8% (N=3), grade 4: 0.3% (N=1)]. Median time to CRS from start of Tec was 3 days (range, 0-15). Fifty-four pts (14%) developed any-grade ICANS [Grade 1: 7% (N=26), Grade 2: 5% (N=18), grade 3: 3% (N=10), grade 4: none]. There were no grade 5 CRS or ICANS events. Median time to onset of ICANS from start of Tec was 4 days (range, 0-25). There was one case of hemophagocytic lymphohistiocytosis in the entire cohort. 38% of pts received tocilizumab and 17% of pts received corticosteroids. In univariate analysis (UVA), baseline platelet <50, triple-class refractory, penta-refractory status, and EMD prior to start of Tec were associated with increased risk for CRS grade ≥2 (p-values <0.1) and incorporated in MVA. Baseline platelet <50, age >60, ECOG ≥2, Hgb <8 g/dL, BM plasma cells >50%, and ferritin or CRP in the upper quartile were associated with increased risk for any-grade ICANS in UVA (p-values <0.1). Baseline platelet <50, ECOG ≥2, Hgb <8 g/dL, BM plasma cells >50%, ferritin or CRP in the upper quartile, and prior BCMA exposure were associated with increased risk of CRS grade ≥2 and/or any-grade ICANS in UVA (p-values <0.1). Accelerated step-up dosing, renal impairment (CrCl < 30 mL/min) and baseline LDH in the upper quartile were not associated with an increased risk of either CRS or ICANS in UVA. Baseline BM plasma cells >50% was excluded from multivariable analysis (MVA) due to high number of missing data, since most pts (62%) did not undergo BM biopsy prior to start of Tec. In MVA, risk factors for CRS grade ≥2 included baseline platelet <50 at the start of Tec treatment (OR: 2.35, 95% CI 1.08-5.08; p=0.03) and penta-refractory disease (OR: 2.48, 95% CI 1.13-5.45; p=0.02). Risk factors for any-grade ICANS included platelet <50 (OR: 4.18, 95% CI 1.88-9.28; p=0.0004), age >60 (OR: 7.54, 95% CI 1.63-34.89; p=0.01) and CRP in the upper quartile (OR: 2.51, 95% CI 1.16-5.43; p=0.02). Risk factors for CRS grade ≥2 and/or any-grade ICANS included platelet <50 (OR: 2.65, 95% CI 1.42-4.94; p=0.002) and ECOG ≥2 (OR: 2.07, 95% CI 1.19-3.61; p=0.01). Conclusions: This real-world analysis of RRMM pts treated with Tec revealed comparable rates CRS and ICANS relative to the MajesTEC-1 study, and these were mostly limited to grade 1/2. MVA demonstrated a significantly higher risk of CRS grade ≥2 and/or any-grade ICANS in pts with baseline platelet <50 and/or ECOG ≥2, the former may reflect BM disease burden. These results may help identify pts who are at higher risk for IEC related toxicities with Tec that would warrant inpatient monitoring during initial step-up dosing. OP, AA, & LF: co-first authors. AG, HCL & JK: co-senior authors

Background: Systemic mastocytosis (SM) is a rare disease characterized by neoplastic mast cell (MC) infiltration of extracutaneous tissues. Nonadvanced SM (NonAdvSM) is associated with debilitating symptoms which may significantly reduce health-related quality of life (HRQoL). In up to 95% of patients (pts), SM is driven by the somatic KIT c.2447 A>T (p.D816V) missense mutation. Bezuclastinib (bezu; CGT9486) is an oral, potent, small molecule, selective type 1 tyrosine kinase inhibitor (TKI) with activity against KIT D816V. Results from Part 1 of the 3-part Summit trial demonstrated that bezu is well-tolerated and is associated with encouraging clinical activity, including both reduced MC burden and improvement in symptoms over a 12-week (wk) period vs placebo (PBO). Based on safety, PK, biomarker, and efficacy results, a dose of 100mg QD bezu (optimized formulation) was selected for Summit Part 2. Trial Design and Methods: Summit (NCT05186753) is a multi-center, Phase 2, double-blind, PBO-controlled RCT of bezu in pts with NonAdvSM who have inadequate control of symptoms despite treatment with best supportive care (BSC). A novel pt-reported outcome measure, the Mastocytosis Symptom Severity Daily Diary (MS2D2), was designed to assess disease-specific symptom severity in NonAdvSM pts. Eleven symptoms are included in the MS2D2 Total Symptom Score (TSS). Summit Part 1a randomized pts 1:1:1 to PBO, 100mg, or 200mg, original formulation while Part 1b randomized 1:1:1 to PBO, 100mg, or 150mg, optimized formulation. Pts completing Part 1 of the Summit trial were allowed to receive bezu in the open-label extension (OLE) Part 3 of the trial. Results: As Part 2 will evaluate safety and efficacy of 100 mg bezu at 24 wks, this abstract reports on pts treated with both bezu formulations at 100mg in Parts 1a or 1b, which had similar PK exposures. The presentation will focus on 24-wk outcomes in pts receiving the selected 100 mg bezu dose and participating in the OLE. In Summit Part 1, 19 pts received PBO and 18 received 100 mg bezu for 12 wks. At baseline (BL), the symptoms identified as most severe were within the skin and fatigue domains. At BL, pts were managing their symptoms of NonAdvSM with 2 (43%), 3 (24%), or ≥4 (32%) BSC medications. At the 12-wk assessment in Part 1 (datacut 18Dec2023), the safety and tolerability profile was encouraging, with the majority of TEAEs low grade and reversible without dose modification. The most common TEAEs (>10% in 100 mg bezu) included hair color changes, nausea, diarrhea, peripheral edema, GERD, taste disorder, and neutropenia. There were no reported bleeding or cognitive impairment events. Of 37 pts randomized to PBO or 100 mg QD bezu, 36 (97%) received bezu in the OLE; one pt randomized to the 100 mg original formulation dose reduced and subsequently discontinued due to TEAE of ALT increase. All 19 PBO pts (100%) crossed over to receive bezu in the OLE; of these, 9 were randomized to the 100mg QD bezu dose. Reduction in MC burden was robust among those treated with 100mg bezu - 94.4%, 100%, and 92.3% of pts had at least a 50% reduction in basal serum tryptase, KIT p.D816V variant allele frequency, and bone marrow MCs, respectively. Pts treated with 100 mg bezu had reduction in MS2D2 TSS by 49.1% vs 21.1% with PBO. On a 0-10 scale, the most severe MS2D2 symptom mean change from BL was -3.03 from a BL mean of 7.6 with bezu vs -1.04 from a BL mean of 7.7 with PBO. Individual symptoms of the MS2D2 TSS, as well as others not in the TSS including diarrhea and brain fog, improved more with bezu than with PBO; mean change from BL ranged from -1.66 to -2.69 with bezu vs. a range of -0.52 to -1.58 with PBO. LS mean change from BL in quality of life (Mastocytosis (MC)-QoL, a disease-specific measure) was -22.05 in pts treated with 100mg bezu versus -10.71 in pts treated with PBO. Objective measurements of skin lesions, including centrally adjudicated longitudinal assessments of skin photography, also significantly reduced on bezu. Conclusions: In Part 1 (12 wk assessment), treatment with 100mg bezu resulted in favorable safety and tolerability, significant and deep reductions across all markers of MC burden, and clinically meaningful reduction in all individual MS2D2 TSS symptoms and across domains. The presentation will report on durability and safety/tolerability data beyond 12 wks for those pts randomized to 100 mg in Part 1 and pts who crossed over from PBO in Part 1 to 100mg in Part 3. Summit Part 2 is actively enrolling.

Introduction: Complex karyotype (CK, ≥3 chromosome (chr) abnormalities (abn)) is an important adverse prognostic indicator in chronic lymphocytic leukemia (CLL). CK at diagnosis (dx) of CLL, particularly with major structural chr abn (i.e. unbalanced translocation, add, marker, ring chr), called type-2 CK (CK2), has been associated with an increased risk of Richter transformation (RT) (Visentin Haematologica 2022). RT is defined as development of aggressive lymphoma, most often large B-cell lymphoma, in the setting of CLL. In patients (pts) with relapsed/refractory CLL treated with ibrutinib, CK as a continuous variable and the presence of polyploidy were independent predictors for RT. CK is a common finding at the time of RT, and high-CK (≥5) has been associated with short survival in RT, although previous studies predominantly included pts with prior chemoimmunotherapy (CIT) administration for their CLL. The prognostic significance of CK in pts with RT whose prior CLL-directed therapies include only non-CIT, as is the current standard of care for CLL, has not been evaluated. Methods: We conducted a multicenter, retrospective analysis of pts from 14 academic centers. Pts with RT diagnosed between 6/2011 to 6/2023, who had CLL-directed treatment that did not include prior CIT, with stimulated karyotype data available, were included. Pts who did not receive treatment for their CLL prior to developing RT were not included. Baseline pt, disease, and cytogenetics data were collected via chart review at time of CLL diagnosis and at the development of RT. Karyotype abn up to 20 were counted on both CLL tissue (peripheral blood or bone marrow) and RT tissue using IWGMC guidelines (Chun Leuk Res 2010). CK was categorized as CK1 (balanced abn, deletion, aneusomies) or CK2. Polyploidy was defined as ≥58 chrs. Karyotype was considered evolved if one or more chr abn were seen in a follow-up sample of CLL tissue that were not seen at CLL dx.TP53 disruption was defined as presence of del(17p) or TP53 mutation. Overall survival (OS) was measured from RT dx and estimated using the Kaplan-Meier method. Cox regression model was used to identify prognostic factors associated with OS. Results: A total of 64 eligible pts were identified. Median age at RT dx was 65 years (range 40-89) and 71.9% of pts were male. Of those evaluated (n=49), 79.6% had unmutated IGVH. Median number of therapies for CLL prior to RT was 1 (range 1-5) and included BTK inhibitor (n=37), BCL2 inhibitor (n=3), both (n=18), or other non-CIT treatment (n=6). At CLL diagnosis, 54.7% of pts had a CK, and the median number of chr abn was 3 (range 0-20). Of those with CK, 96.9% had a CK2, and 6.3% had a polyploid subclone. TP53 disruption was found in 46% of pts. At time of RT, chr analysis of CLL tissue was available for 38 pts and showed 78.9% had a CK, and the median number of chr abn was 8 (range 0-20). Polyploidy was found in 29.6%. TP53 disruption (46 pts evaluated) was found in 52.2%. Karyotype evolution from dx (35 pts evaluated) occurred in 74.3% of pts. In RT tissue, of those evaluated (n=29), 96.6% were clonally related to the preceding CLL. MYC translocation (45 pts evaluated) occurred in 17.8%. CK (20 pts evaluated) was found in 70%, with a median number of chr abn of 8 (range 0-20). Of those with CK, 33.3% had a polyploid subclone. With a median follow-up of 17.8 months (range 2.1-83.0) there were 42 deaths, with a median OS of 14.3 months (range 6.9-29.1). For this subset of patients with karyotype data available who would go on to develop RT, an exploratory univariable analysis for OS from RT found that increasing number of chr abn as a continuous variable at CLL dx was associated with worse OS (HR 1.10, 95% CI 1.02-1.19, p=0.01). Similarly, at RT, increasing number of chr abn in CLL tissue (HR 1.09, 95% CI 1.02-1.16, p=0.01) and in RT tissue (HR 1.09, 95% CI 1.01-1.18, p=0.03) was also prognostic of survival. Karyotype evolution in CLL tissue at RT (HR 3.02, 95% CI 1.02-8.94, p=0.05) was borderline significant for worse OS. Conclusions: Our multi-center study identified increasing number of chr abn at CLL diagnosis and at time of RT, and clonal evolution in the CLL tissue, are associated with worse OS in pts with RT whose CLL was treated without CIT. Limitations include incomplete cytogenetics data across the cohort and potential variability across institutions in cytogenetics laboratory practices. This provides further evidence for the clinical utility of chr analysis in the modern era of CLL therapy.

Introduction Induction therapy (Tx) followed by ASCT and lenalidomide (LEN) maintenance is the standard of care in transplant-eligible pts with NDMM. Pts who have suboptimal response after front-line ASCT, however, have an increased risk of progression or death. Ide-cel demonstrated significantly improved median progression-free survival (PFS) and overall response rate (ORR) vs standard regimens in KarMMa-3 in pts with early-line triple-class-exposed relapsed and refractory multiple myeloma (MM). KarMMa-2 (NCT03601078) is a multicohort, phase 2, multicenter trial evaluating the efficacy and safety of ide-cel in several MM disease settings; cohort 2c includes pts with NDMM who achieved < very good partial response (VGPR) after front-line ASCT. An extended follow-up analysis (median follow-up of 39.4 months) of cohort 2c was presented at ASH 2023 (Dhodapkar M, et al. ASH 2023; P2101). Here, we report results with 55.4 months of median follow-up and additional data on pts who received LEN maintenance at the investigator's discretion. Methods Adult pts with NDMM who received ≥ 3 cycles of induction Tx (proteasome inhibitor, immunomodulatory agent, dexamethasone), and had < VGPR 70-110 days after ASCT (single/tandem) were eligible. Pts received a single ide-cel infusion (150-450 × 106 chimeric antigen receptor-positive T cells) and could receive maintenance Tx post-infusion at investigator discretion. The primary endpoint was complete response rate (CRR); secondary endpoints included ORR, duration of response (DOR), PFS, overall survival (OS), safety, cellular kinetics, and patient-reported outcomes on health-related quality of life (HRQoL). Minimal residual disease (MRD) negativity (sensitivity, 10-5), an exploratory endpoint, is also reported. Results At data cutoff (June 28, 2024), with a median follow-up of 55.4 (range, 51.4-59.5) months, all 31 pts treated with ide-cel were alive; 28 (90.3%) remained in follow-up and 3 (9.7%) discontinued due to disease progression or withdrawal by pt. Eight pts received LEN maintenance after ide-cel at the investigator's discretion. Among all 31 ide-cel-treated pts, CRR and ORR were 80.6% and 87.1%, respectively. Among the 8 pts who received LEN maintenance, CRR and ORR were 75.0% and 100.0%, respectively. Median DOR, PFS, and OS were not reached; 36-month event-free rates were 81.5%, 76.8%, and 100.0%, respectively. Of the 8 pts who received LEN maintenance after ide-cel infusion, none experienced disease progression. At 36 months, MRD negativity was confirmed in 12/18 (66.7%) evaluable pts; all 12 achieved ≥ CR. Since last data cutoff, 1 pt with MRD-negative MM changed to MRD-positive at 36 months, and 1 pt who had previously achieved MRD negativity was indeterminate at 36 months. Among the 6 evaluable pts who received LEN maintenance, 3/6 (50.0%) achieved MRD negativity at 36 months. There were no new safety signals nor reports of parkinsonism or Guillain-Barré syndrome since the previous data cutoff. In the 8 pts who received LEN maintenance, 6 (75.0%) experienced grade 3/4 AE, most commonly neutropenia, and 1 (12.5%) experienced grade 3/4 infection on or after LEN maintenance. All 8 pts were still receiving LEN at data cutoff. Robust CAR+ T cell expansion was observed in 31 pts, with higher expansion in pts with ≥ CR vs < CR. Following ide-cel treatment, HRQoL improved and disease symptoms were stable over time (assessed by European Organization for Research and Treatment of Cancer [EORTC] Quality of Life Core Questionnaire and EORTC Quality of Life Multiple Myeloma Module 20 Questionnaire). More than 75% of pts had improved or stable global health status/QoL by month 3. Conclusions With extended follow-up, ide-cel continued to demonstrate deep, durable responses in pts with < VGPR to front-line ASCT. No new safety signals were observed and no deaths were reported. Data in a small group of pts in cohort 2c showed that ide-cel followed by LEN maintenance extended disease control. Pts who received LEN maintenance did not experience disease progression regardless of MRD status. Stable or improved HRQoL was observed after ide-cel treatment. Overall, ide-cel continued to show a favorable clinical benefit-risk profile in NDMM after ASCT. The phase 3 KarMMa-9 study (NCT06045806), currently recruiting, will compare ide-cel followed by LEN maintenance vs LEN maintenance alone in pts with NDMM after suboptimal response to ASCT.

*Authors contributed equally. Introduction. Two chimeric antigen receptor (CAR) T-cell therapies have been FDA approved for patients with relapsed/refractory multiple myeloma (RRMM): idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel). Prior work from our consortium identified racial and ethnic differences in safety and response to ide-cel among patients treated in the standard of care (SOC) setting; despite these differences, survival was similar across race and ethnicity. Here, we extend this work to investigate racial and ethnic differences in safety, efficacy, and outcomes in a larger cohort of patients treated with SOC ide-cel with longer follow-up and patients treated with SOC cilta-cel. Methods. Data for RRMM patients who underwent leukapheresis by 12/31/2022 and were treated with SOC ide-cel or cilta-cel were pooled across 19 institutions in the U.S. Multiple Myeloma Immunotherapy Consortium. We compared Non-Hispanic White, Non-Hispanic Black, and Hispanic (any race) patients, excluding other racial and ethnic groups due to small sample sizes that precluded sub-group investigations. Separately for each CAR T-cell therapy, racial and ethnic differences in baseline patient characteristics, safety, and treatment responses were examined using chi-square and Kruskal-Wallis rank sum tests. Kaplan-Meier survival curves and log-rank tests were used to examine progression-free survival (PFS) and overall survival (OS) by race and ethnicity. Results. Among 332 RRMM patients treated with ide-cel, Non-Hispanic Black and Hispanic patients comprised 17% and 10% of the cohort, respectively. Hispanic patients were younger at infusion compared to Non-Hispanic Black and Non-Hispanic White patients (55.5 vs. 63 vs. 66 years, p<0.001). Non-Hispanic Black patients had a higher disease burden (≥ 50% bone marrow plasma cell percentage) compared to Non-Hispanic White and Hispanic patients (35% vs. 20% vs. 19%, p=0.05), while a higher proportion of Non-Hispanic White patients had high-risk cytogenetics compared to Non-Hispanic Black and Hispanic patients (37% vs. 23% vs. 10%, p=0.003). Non-Hispanic Black patients were more likely to develop severe (≥ grade 3) cytopenia at day 30 (p<0.001) and day 90 (p=0.01) post-infusion, and these differences were particularly driven by higher rates of severe neutropenia among Non-Hispanic Black patients at these time points. Non-Hispanic White patients were more likely to achieve a best response of partial response (PR) or better (82%) compared to Non-Hispanic Black (75%) and Hispanic patients (63%, p=0.02). No other racial and ethnic differences in baseline patient characteristics (including cytopenias), safety, PFS, and OS were observed (p>0.05). Among 222 RRMM patients treated with cilta-cel, Non-Hispanic Black and Hispanic patients comprised 12% and 9% of the cohort, respectively. At baseline, Non-Hispanic Black and Hispanic patients were more likely to have anemia (p=0.01), and Non-Hispanic Black patients were more likely to have thrombocytopenia (p=0.02) and neutropenia (p=0.06) compared to Non-Hispanic White patients. No other differences in baseline patient characteristics were observed by race and ethnicity. While not statistically significant, a higher rate of severe (≥ grade 3) cytopenia at day 90 post-infusion was observed among Non-Hispanic Black and Hispanic patients compared to Non-Hispanic White patients (33% vs. 44% vs. 21%, p=0.07), similar to the ide-cel cohort. This finding was primarily driven by higher rates of severe neutropenia among Non-Hispanic Black patients and higher rates of anemia among Hispanic patients. No other racial and ethnic differences in safety, responses to cilta-cel, PFS, or OS were not observed in the cilta-cel cohort (p>0.05). Conclusion. In a large cohort of RRMM patients treated with SOC ide-cel or cilta-cel, we observed a higher rate of cytopenias post-infusion and inferior ide-cel responses among racial and ethnic minority patients compared to Non-Hispanic White patients. Despite these differences, survival was similar across race and ethnicity, suggesting that both available CAR T-cell therapies for RRMM patients can be utilized across all populations. Future studies that include larger patient cohorts of racially and ethnically diverse patients should be conducted to confirm these findings and additionally evaluate long-term outcomes.

Background: Positron emission tomography (PET) scan is the imaging modality of choice for initial staging and response assessment of follicular lymphoma (FL). Quantitative parameters such as standardized uptake value (SUV) have been investigated as putative prognosticators in FL, with high baseline SUVmax predicting aggressive disease. To date, there is no data to guide treatment choices in patients (pts) with high SUVmax but with no documented evidence of histologic transformation (HT). Specifically, it remains unclear whether anthracycline-containing regimens, such as R-CHOP, are more beneficial than R-Bendamustine (BR) in these pts. Therefore, we aimed to compare the efficacy of frontline R-CHOP and BR in newly diagnosed FL pts based on the SUVmax at baseline PET (bPET). Patients and Methods: Pts with newly diagnosed, biopsy-proven FL1-2 and FL3A who had a bPET scan and who received either first-line R-CHOP or BR within 6 months of diagnosis between 2002 and 2022 were evaluated. Analysis was restricted to pts with age < 70 years to reduce confounding of age with treatment selection. Cohorts included were the FOLL12 (n=562, Luminari et al JCO 2022) and the R-chemotherapy arm of the RELEVANCE (n=216, Morschhauser et al NEJM 2018) clinical trials, the prospectively enrolled Molecular Epidemiology Resource (MER) and the Lymphoma Epidemiology of Outcomes (LEO) cohorts (n=288) and a retrospective cohort from 13 Australian centers (n=219). Choice of chemotherapy regimen was per treating physician. Maintenance was per protocol (FOLL12/RELEVANCE) or per treating physician (MER/LEO/Australia). Event-free survival (EFS) and overall survival (OS) were defined as time from treatment initiation to progression, relapse, retreatment or death; both were censored at 72 months due to varying follow-up across cohorts. SUVmax was grouped by tertile within each cohort to account for potential differences in SUVmax distributions and patient populations across cohorts. Kaplan Meier curves and multivariable Cox models cohort-stratified and adjusted for clinical factors (FLIPI, ECOG PS, age, grade 3A) were used to evaluate outcomes. Results: The median age at diagnosis was 57 years (IQR 49-64). 651 (51%) pts were treated with R-CHOP and 634 (49%) with BR. Within the study cohorts, there was a prevalence of cases receiving BR compared to R-CHOP in the Australian (90% vs 10%) and MER/LEO (68% vs 32%) cohorts, while the opposite was observed in the RELEVANCE (16% vs 84%) and FOLL12 (37% vs 63; p<0.001) trials. Pts receiving R-CHOP were slightly younger (median 56 vs 58 years, p=0.005), more frequently had grade 3A (17% vs 7%, p<0.001), elevated LDH (27% vs 22%, p=0.029), bulky disease > 7 cm (44% vs 37%, p=0.019), lower ECOG PS (PS >1 7% vs 13%, p<0.001), and higher rate of high risk FLIPI (37% vs 30%, p=0.005). Baseline SUVmax was slightly lower in R-CHOP (median 10.7, IQR 7.9-14.9) vs BR (median 11.0, IQR 8.2-14.2) treated pts (p=0.0045). At a median follow-up of 56 months (range, 1-72 months), 415 pts (32%) had an event and 103 (8%) died. Higher SUVmax was not associated with EFS (middle tertile HR=0.96, 95% CI 0.76-1.22; upper tertile HR=0.86, 95% CI 0.68-1.09; p=0.45) or OS (middle tertile HR=1.28, 95% CI 0.80-2.05; upper tertile HR=0.97, 95% CI 0.59-1.59; p=0.44) in multivariable models stratified on cohort and adjusted for treatment and clinical factors. We then compared outcomes by treatment within tertiles of SUVmax. In multivariable models, R-CHOP had modestly inferior EFS to BR in low (HR=1.27, 95% CI 0.84-1.93) and middle tertiles (HR=1.49, 95% CI 0.99-2.25), and modestly superior OS to BR in low (HR=0.59, 95% CI 0.23-1.47) and middle (HR=0.79, 95% CI 0.37-1.71) tertiles. Both EFS (HR=1.06, 95% CI 0.71-1.58) and OS (HR=1.02, 95% CI 0.45-2.30) for R-CHOP were similar to BR in the highest tertile. No comparisons identified a statistically significant benefit for either therapy in multivariable models when evaluating SUVmax tertile subsets. Conclusions: In this large multicenter study of newly diagnosed FL pts with bPET who received frontline immunochemotherapy, higher baseline SUVmax was not associated with inferior outcomes after adjusting for treatment and clinical factors. Within the caveats of retrospective studies and confounding of treatment selection, these data provide no clear insights for SUVmax-based therapy selection in first-line follicular lymphoma pts treated with immunochemotherapy.

Introduction: Systems-based hematology (SBH) is an emerging field focused on improving hematology care delivery through quality improvement (QI) and health systems science (HSS). However, a universal definition and standardized training curriculum are lacking. This study aimed to explore experts' perspectives on defining SBH, identify core knowledge and skills, and discuss challenges and opportunities in developing a curriculum. Methods: Semi-structured interviews were conducted with eight hematologists who have expertise in SBH through practical experience, scientific publications, and serve on related committees for the American Society of Hematology. These interviews were automatically transcribed through Microsoft Teams. Thematic analysis, using both inductive and deductive coding, was employed to identify themes and subthemes from the verbatim interview transcripts. This was accomplished with a large language model (LLM; Google Gemini Advanced, June 2024). Results: In combination, these semi-structured interviews lasted approximately 400 minutes and generated 231 pages of transcript text with 63117 words for analysis. Five main themes and associated subthemes were identified. (1) Defining SBH: experts highlighted the lack of a universal definition for SBH, emphasizing the reason it is often defined by its functions, such as improving healthcare delivery, ensuring appropriate use of resources, and addressing disparities in care. They often compared SBH to other fields like antimicrobial stewardship or implementation science to illustrate its expansive role and scope. (2) The Role and Scope of SBH: experts described SBH as encompassing a broad range of activities, including improving healthcare delivery, implementing QI initiatives, conducting pragmatic research, and advocating for policy changes at various levels. They emphasized the importance of data-driven approaches and collaboration with other healthcare professionals. (3) Training and Education in SBH: the lack of formal training programs and curricula for SBH was a recurring theme. Experts suggested that a comprehensive curriculum should include QI methodologies, implementation science, clinical informatics, health economics, leadership skills, and hematology-specific examples and case studies. They proposed various delivery methods, including asynchronous online modules, virtual workshops, and in-person sessions, targeting hematology fellows, junior faculty, and other healthcare professionals involved in hematology care. They unanimously agreed that a SBH curriculum could borrow heavily from an established HSS curriculum but should incorporate hematology-specific examples. (4) Challenges and Barriers to Implementing SBH: experts identified several challenges, including the lack of awareness and recognition of SBH among healthcare professionals and administrators, resource constraints, and the need for institutional buy-in. They also highlighted the technical difficulty of measuring and demonstrating the value of SBH interventions, particularly in terms of cost savings and improved patient outcomes. (5) The Future of SBH: despite the challenges, experts expressed optimism about the future of SBH, predicting its growing importance and expanding scope, including malignant hematology, community practice, and pediatrics. They envisioned SBH playing a crucial role in addressing rising healthcare costs, quality concerns, and disparities in care. They also anticipated the integration of new technologies like artificial intelligence, “virtual” care delivery, and molecular genetics into SBH practice. Conclusions: This study provides valuable insights into the current state of SBH and the need for a standardized curriculum. The findings can inform the development of educational resources and training programs to equip future practitioners with the necessary knowledge and skills to effectively practice SBH and improve hematology care delivery. This study also sheds light on the utility of qualitative research within SBH and the emerging analytical tools that will require further exploration and standardization (e.g., LLM prompt engineering).

Introduction: Richter transformation is the development of an aggressive lymphoma, most commonly diffuse large B-cell lymphoma, in patients (pts) with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Transformation into Hodgkin lymphoma (HT) is a rare event and outcomes in pts with this complication in the current CLL/SLL therapeutic era of small molecule inhibitors (SMI; e.g., Bruton tyrosine kinase inhibitors [BTKi] and BCL2 inhibitors [BCL2i]) are unknown. Methods: We conducted a retrospective study of pts from 12 academic centers. Pts with HT who had not previously received chemotherapy for CLL/SLL-directed treatment (tx) were included. Pt, disease, and tx characteristics were collected. HT was categorized into 3 groups: “Concurrent HT,” defined as HT and CLL/SLL diagnosed simultaneously (within 3 months); “HT without prior CLL/SLL tx,” defined as HT and CLL/SLL diagnosed >3 months apart with the CLL/SLL never treated; and “HT with prior non-chemotherapy tx for CLL/SLL” defined as having received non-chemotherapy CLL/SLL-directed tx prior to the diagnosis (dx) of HT. Overall survival (OS) was measured from HT dx and estimated using the Kaplan-Meier method. Cox regression model was used to identify prognostic factors associated with OS. Results: Within a total cohort of 402 pts with Richter transformation (all histologies) without prior chemotherapy, 41 pts with HT (10%) were identified: 12 with concurrent HT, 10 with HT without prior CLL/SLL tx, and 19 with HT with prior non-chemotherapy tx for CLL/SLL. The median age at CLL/SLL dx was 62 years (range 31-96 years) and 73% were male. At CLL/SLL dx, 67% (14/21 evaluated) had unmutated IGHV, and 24% (8/34 evaluated) had TP53 disruption (del(17p) and/or TP53 mutation). The median age at HT dx was 65 years (range 31-96 years) among all pts. At HT dx, there was no significant difference in highest SUV on PET (median 12.3, range 3-31.1), lactate dehydrogenase (LDH) level (median 242 U/L, range 112-859 U/L), or lymph node longest diameter (median 4.6 cm, range 1.6-25 cm) among the 3 subgroups. The median time from CLL/SLL dx to HT dx was 5.4 years (range 0.3-16.5 years) in pts with HT without prior CLL/SLL tx and 4.2 years (range 0.5-17.3 years) in pts with HT with prior non-chemotherapy tx for CLL/SLL. The median number of prior non-chemotherapy CLL/SLL-directed tx was 1 (range 1-6) and included BTKi only (n=17) and BTKi and BCL2i sequentially (n=2); no patient had received only prior BCL2i. Among the 19 pts with HT with prior non-chemotherapy tx for CLL/SLL, 18 pts were on active tx at time of dx (17 BTKi, 1 BCL2i). Initial HT management included: doxorubicin, bleomycin, vinblastine, dacarbazine (ABVD; n=16), brentuximab vedotin (BV)-AVD (n=10), radiation only (n=2), other systemic tx (n=11), and supportive cares / hospice (n=2). All but 1 of the 11 other systemic tx were various HL tx regimens. Across all pts with available data (n=32), the overall response rate to 1st line HT tx was 78% (69% complete response rate); 13% had progressive disease and 9% (n=3; all with concurrent HT) died within 6 months without formal response assessment. A total of 11 pts received at least 1 additional line of therapy for HT, which included BV (n=4), an immune checkpoint inhibitor (n=1), or both (n=6) at any point beyond 1st line HT tx. Median follow-up from HT dx was 32.8 months (range 2.4-253.8 months). The 36-month OS for the entire cohort was 75% (95% CI: 55-87%). The 36-month OS estimates by subgroups were: 62% (95% CI: 26-84%) in pts with concurrent HT, 100% in pts with HT without prior CLL/SLL tx (no events by 36 months), and 67% (95% CI: 33-87%) in pts with HT with prior non-chemotherapy tx for CLL/SLL. Exploratory univariable analysis identified TP53 disruption at CLL dx (HR 12.36; 95% CI: 2.55-59.84) and lymph node longest diameter (HR 1.32 per 1 cm increase; 95% CI: 1.12-1.55) and LDH 2-fold increase (HR 3.97; 95% CI 1.24-12.68) at HT dx as prognostic for worse OS. HT subgroup was not prognostic. Conclusions: This is the largest report of outcomes in pts with CLL/SLL who develop HT following SMI tx without any prior chemotherapy, representing a contemporary cohort. Prior CLL/SLL tx status was not associated with OS; however, cautious interpretation is required given the sample size. Our findings support the use of appropriate HL-directed treatment in the setting of HT; however, OS estimates remain worse than would be expected in an older adult de novo HL cohort (Cheng Blood Adv 2022).

Background: The FDA package inserts for all approved chimeric antigen receptor T-cell (CAR-T) therapies state that patients should universally refrain from driving for 8 weeks following infusion. However, there are no clear data to support this recommendation, particularly in multiple myeloma (MM) which all CAR-T therapies use 4-1BB as opposed to CD28 costimulatory domains. Specifically, no seizures were reported in the KarMMa, KarMMa-3, CARTITUDE-1, or CARTITUDE-4 trials. Because patients typically return to their referring oncologists after Day (D) +28 following CAR-T infusion, an additional month of driving restrictions can create confusion for referring oncologists, impose significant burdens for patients and caregivers, and potentially even affect the choice of MM therapy for patients living in remote areas. Methods: We conducted a two-part study within the US MM Immunotherapy Consortium. Firstly, we analyzed data from commercial idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel) recipients (leukapheresis cutoff December 31, 2023) to identify the prevalence of CRS, ICANS, or death between Weeks 5-8 (D+29 to D+56) following CAR-T (Day 0). Patients with index hospital stays lasting over 4 weeks and patients with <8 weeks of post-CAR-T follow-up were excluded. Secondly, we surveyed Consortium members about the prevalence of impaired driving risk (defined as “anything that could impair a patient's ability to drive safely, e.g. seizures, altered mental status, blindness, etc.”) and used 1-5 Likert scales to gauge the perceived importance of driving restrictions (assuming no FDA guidance existed) during Weeks 0-4 vs 5-8. This anonymous IRB-exempted survey was distributed via email to 63 CAR-T-prescribing physicians within the Consortium. Results: Of 553 analyzed patients, 41% (n=224) had received cilta-cel and 59% (n=329) ide-cel. The median age was 64 (IQR 58-70), 42% (n=231) were female, 78% White (n=434), 13% (n=72) Black, and 9% (n=51) Hispanic. ECOG PS at infusion was ≥2 in 11% (n=63) of patients, and 5% (n=28) had had previous CNS co-morbidities such as prior strokes. One patient (0.2%) developed Grade 2 CRS during Weeks 5-8 (onset D+47, resolution one day later); no patients had de novo ICANS after D+28. There were 16 cases of non-ICANS neurotoxicity (including 2 cases of Parkinsonism) diagnosed a median of 24 days after CAR-T (range: 17-147 days), of which 3 cases (all non-Parkinsonian) were first diagnosed during Weeks 5-8. There were 10 deaths (2%) during Weeks 5-8, one due to infection and the remainder from progressive MM. The survey was completed by 45 oncologists (71% response rate), 41 of whom had managed both >5 ide-cel and >5 cilta-cel recipients. Regarding impaired driving during Weeks 0-4, 20% of physicians felt this was never a risk, 36% a risk for 1-2% of patients, 29% a risk for 3-10% of patients, and 16% a risk for >10% of patients. The distribution was significantly different (p < 0.01) for Weeks 5-8: 49% never a risk, 36% a risk for 1-2% of patients, 16% a risk for 3-10% of patients, while no respondents felt this remained a risk for >10% of patients. For Weeks 0-4, 73% agreed that patients should be advised not to drive while 9% disagreed. In contrast, for Weeks 5-8, 14% of physicians agreed with driving restrictions while 78% disagreed (p < 0.01 compared to Weeks 0-4). Discussion: Our two-part study demonstrates that driving restrictions following Week 4 after CAR-T therapy in MM may not be required. The incidence of de novo CRS or any-type neurotoxicity being diagnosed during Weeks 5-8 was <1%, and - if such toxicities developed - patients and physicians could be expected to set appropriate restrictions at that juncture. While 73% of CAR-T-prescribing oncologists agreed that patients should refrain from driving during Weeks 0-4, 78% disagreed with this recommendation during Weeks 5-8. These findings complement other real-world studies (Wesson, Dima, et al, TCT 2024; Ahmed et al, Blood Advances 2024) reporting the rarity of CRS and ICANS after the first month in both MM and lymphoma. Our study is limited by a lack of patient-reported data, which was done intentionally to avoid asking patients about activities undertaken against medical advice. Nevertheless, we believe that narrowing universal driving restrictions to Weeks 0-4 following CAR-T therapy would constitute an evidence-based modification to the package inserts for ide-cel and cilta-cel.