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Abstract Introduction: The GPRC5D-directed bispecific antibody (BsAb) Talquetamab (Talq) has shown promising results for patients (pts) with relapsed/refractory multiple myeloma (RRMM) in the MonumenTAL-1 clinical trial (Chari et al. NEJM 2022). However, there are limited data on the use of Talq in the real-world setting. Methods: All pts with RRMM who started Talq between 8/2023-3/2025 across 15 US academic centers were included. High-risk cytogenetic abnormalities (HRCA) were defined as del(17p), t(4;14), t(14;16) and/or gain/amplification 1q21. Time-to-event analyses were estimated using the Kaplan-Meier method. Toxicities including CRS and ICANS were graded using CTCAE v5.0 or ASTCT criteria. Results: A total of 484 pts were included, with a median age of 65 years (range 35-89), and 83 pts (17%) were aged ≥75 years. 20% of pts were black. 21% had baseline CrCl<40, 65% had HRCA and 29% had >1 HRCA (i.e Ultra high-risk MM). The median number of prior lines of therapy was 6 (IQR 4, 8). 50% were penta-refractory, 69% received at least one prior BCMA-directed therapy (46% CART; 32% BsAb). Prior to initiation of Talq, 11 pts (2%) had CNS MM, 29 (6%) had PCL and 126 (26%) had true extramedullary disease (EMD). 70% would have been ineligible for the MonumenTAL-1 trial. For most pts (n=405; 84%) the dosing strategy from Cycle 2 was 0.8 mg/kg every 2 weeks. and the 0.4 mg/Kg weekly dosing was used in 28 patients (6%). In 6% of pts, an additional drug was added to Talq, mostly pomalidomide (n=20) or daratumumab (n=10). 101 pts (21%) received Talq as bridging for CART. Median duration of Talq treatment was 102 days. 62% developed CRS (Grade ≥3, 2%; including one Grade 5 event). 15% developed ICANS (Grades 3-4, 4%). Steroids were used in 213 patients (44%), tocilizumab in 145 (30%) and anakinra in 9 (2%). 22 patients (5%) required ICU stay during the first cycle, for a median of 6 days (range 1-31). A total of 200 pts (41%) had infections (median 1 infection each, range 1-6), including 99 (20%) with bacterial infections, 113 (23%) viral infections and 21 (4%) fungal infections. IVIG was used in 261 pts (54%). 79% of patients (n=384) developed Talq-related oral toxicity, 55% (n=269) skin toxicity and 199 (41%) nail toxicity. 157 patients died after a median follow up of 11.5 months (mos), and the leading causes of death were MM progression (n=120) and infection (n=10). 8 pts (1.7%) developed invasive second primary malignancies. The ORR was 73%, including 46% ≥VGPR. The median PFS (mPFS) for the entire cohort was 7.8 mos (95% CI 6.9-9.4) and the 12 months PFS rate was 39%. The median OS had not been reached and the 12 months OS rate was 63%. For pts who would have been eligible for MonumenTAL-1, the mPFS was 12.2 mos (95% CI 9.7 – not reached (NR); for trial-ineligible pts, the mPFS was 6.9 mos (5.8 – 8.0; p=0.003). For BCMA-naive pts, the mPFS was 15.7 mos (11.8-NR); for BCMA-exposed pts, the mPFS was 6.8 mos (6.0-7.8; p=0.0002). For patients who received Talq as bridging prior to CART, the median PFS was NR (14.1 – NR); for those who did not receive Talq as bridging the mPFS was 6.5 mos (5.3-7.6; p<0.0001). In multivariable analyses, worse OS and PFS were associated with trial ineligibility [(HR 1.38, 95% CI 1.03-1.86; p=0.03) and (2.33, 1.31-4.14; p=0.004)], BMI<30 [(1.42,1.06-1.89; p=0.02) and (1.50, 1.01-2.22; p=0.045)] and true EMD at baseline [(1.95, 1.49-2.56; p<0.001) and (1.65, 1.16-2.36; p=0.005). On the other hand, use of Talq as bridging to CART was associated with better PFS (0.27, 0.17-0.43; p<0.001) and OS (0.13, 0.05-2.56; p<0.001). Ultra high-risk MM (1.40, 1.06-1.84; p=0.02) and baseline albumin <3 (1.68, 1.18-2.37; p=0.004) were associated with worse PFS; ECOG ≥2 (1.68, 1.18-2.40; p=0.004), and baseline Plt<50K (2.14, 1.48-3.10; p<0.0001) was associated with worse OS. Conclusions: In this large real-world analysis of 484 Talq recipients, the ORR was comparable to MonumenTAL-1 but the median PFS was shorter. This likely reflects differences in patient selection, with 70% of patients in our cohort being trial-ineligible. Patients who received Talq as pre-CAR-T bridging had superior survival outcomes. Rates of toxicities were similar to MonumenTAL-1, including >70% of patients developing dysgeusia.

Abstract Background Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is the most common leukemia in US adults and incidence increases with age. Although the treatment (tx) landscape has evolved, it is unclear whether tx selection differs for older patients (pts), given concerns around comorbidities, toxicity, and efficacy. There is a need to better understand pt characteristics, tx patterns, and biomarker use among pts aged ≥65 yrs with CLL/SLL in the current therapeutic era. Methods A retrospective longitudinal study was conducted using the de-identified 100% Medicare Fee-for-Service (FFS) Research Identifiable Files. Included pts were diagnosed with CLL/SLL at age ≥65 and initiated first-line (1L) tx 1/1/2020-9/30/2024 (with ≥12 mo in database prior to 1L tx start). Index date was defined as date of 1L tx start, and pts were followed to death, end of Medicare enrollment, or study end, whichever occurred first. 1L tx was defined as any CLL pharmacologic tx within the first 90 days of index date. Tx utilization was summarized as the number and proportion of pts who received each tx at each line. Descriptive statistics were used to summarize demographic and social characteristics and baseline comorbidities, in all pts and by 1L tx. Proportion and timing of documented biomarker orders any time prior to index were summarized by test type (CLL fluorescence in situ hybridization [FISH], TP53 DNA sequencing and immunoglobulin heavy chain variable region [IGHV] test) and by 1L tx. Results Of the 21,008 pts included, median age was 76.4 yrs at 1L tx, with 43% of pts aged 65-74 yrs, 43% aged 75-84 and 14% aged ≥85. The majority of pts were male (58%) and White (91%). About 8% and 9% of pts had dual eligibility status and low-income subsidy, respectively. Median Charlson Comorbidity Index (CCI) was 4 (range: 1-21), with 40% of pts having CCI ≥5. Covalent Bruton tyrosine kinase inhibitor (cBTKi) monotherapies (mono) were most common at 1L tx (41%), including 10% zanubrutinib (zanu), 15% ibrutinib (ibr), and 16% acalabrutinib (acala). B-cell lymphoma 2 (BCL2)+anti-CD20 monoclonal antibody (mAb) was less common (11%), and chemoimmunotherapy (CIT) was used by 13% of pts, mostly BR (8%) and FCR (3%). Other less common tx included cBTKi+anti-CD20mAb (6%) or cBTKi+BCL2 therapies (1%). Among remaining pts, most received anti-CD20mAb (22%). The use of cBTKi mono increased from 41.7% in 2020 (ibr 30.6%; acala 11.1%) to 47.6% in 2024, driven by increased use of zanu (27.8%; acala 15.7%; ibr 4.2%). BCL2+anti-CD20mAb increased from 9.2% in 2020 to 12.6% in 2024. Pts treated with cBTKi mono were older than those with BCL2+anti-CD20mAb (median age 77.2 vs 74.5), and more likely to have dual eligibility status (10% vs 4%) or low-income subsidy (11% vs 5%). More pts who received zanu mono had CCI ≥5 (39%) versus acala (36%), ibr (35%), or BCL2+anti-CD20mAb (32%). Pts with BCL2+anti-CD20mAb were less likely to have diabetes (23% vs 26%), congestive heart failure (CHF; 16% vs 19%), chronic pulmonary disease (23% vs 27%), and renal diseases (23% vs 27%). Pts with ibr were less likely to have myocardial infarction (29% vs 34%), coronary artery disease (22% vs 25%), CHF (16% vs 19%), and atrial fibrillation (12% vs 18%). Overall, 69% of pts had FISH testing prior to 1L tx, but test orders for TP53 (12%) or IGHV (28%) status were infrequent. Pts with ibr had the lowest rates of TP53 tests (6%), whereas pts with CIT had the lowest rates of IGHV tests (16%). The timing of tests showed a binomial distribution where most pts received FISH, TP53, or IGHV tests either ≤60 days prior to 1L tx (46%, 50%, 33%), or >1 yr before 1L tx (30%, 22%, 43%). Among pts who received ≥2 lines of therapy for CLL (n=4428; 21%), cBTKi mono was the most common in 2L (41%), including 14% zanu, 17% acala, and 10% ibr. CIT and BCL2+anti-CD20mAb were used in 12% and 9% of pts, respectively. Only 634 (3%) pts had 3L+ tx, of whom 33% received cBTKi mono, including 16% zanu, 12% acala, and 5% ibr (5%). Conclusion This large real-world study found that cBTKi mono was the most common 1L tx choice among pts aged ≥65 with CLL/SLL, with increased use of next-generation cBTKi. Pts with more baseline comorbidities were less likely to receive ibr or BCL2-based tx. FISH testing was not performed in nearly one-third of pts, and most pts did not have TP53 or IGVH sequencing prior to tx. Future studies are needed to continue to evaluate evolving tx paradigms in older pts with CLL/SLL.

Abstract Background Previous studies in aggressive B-cell lymphoma demonstrate that patients with shorter diagnosis-to-treatment intervals (DTI) represent those with higher risk disease. This suggests that patients enrolled in clinical trials may carry a selection bias as they often have longer DTI than patients in the general population. This has important implications for clinical research design and the generalizability of clinical trials in aggressive lymphomas. However, the prognostic implications of DTI have not been evaluated in peripheral T-cell lymphomas (PTCL). Therefore, we examined DTI and its association with clinical factors and outcomes in a prospective observational cohort of patients with PTCL from the United States within the LEO (Lymphoma Epidemiology and Outcomes) and MER (University of Iowa and Mayo Clinic Specialized Programs of Research Excellence Molecular Epidemiology Resource). Patients and Methods We evaluated patients enrolled to the MER (2002-2015) and LEO (2015-2020) cohorts with the following forms of PTCL: PTCL-not otherwise specified (PTCL-NOS, n=217), nodal T-follicular helper (TFH) cell lymphoma (nTFHL, n=153), anaplastic large cell lymphoma (ALCL), ALK positive (ALCL, ALK+, n=74), ALCL, ALK negative (ALCL, ALK-, n=95), enteropathy associated T-cell lymphoma (n=18), and monomorphic epitheliotropic intestinal T-cell lymphoma (n=2). Associations of DTI with clinical factors and outcomes were examined using Kaplan Meier and Cox models. Event free survival (EFS) was defined as the time from start of treatment to relapse/progression, start of 2nd line therapy, or death from any cause. Overall survival (OS) was defined as the time from start of treatment until death from any cause. DTI was defined as the number of days between the first diagnostic biopsy and the start of therapy. Patients who were initially observed or had DTI > 100 days were excluded. Results In 559 patients (229 MER and 330 LEO), median age was 60, 34% had IPI>2 and 71% were stage III/IV. 472 (84%) patients initially received anthracycline-based chemotherapy. Median DTI was 23 days (interquartile range (IQR): 12-39) and was similar in MER (21 days, IQR: 11-33) and LEO (25 days, IQR: 14-42). 168 (30%) patients had DTI 0-14 days, 178 (32%) 15-28 days, and 213 (38%) 29-100 days. Overall in the cohort, shorter DTI was associated with a worse 5-year OS (DTI 0-14 days: 43%; DTI 15-28 days: 53%; DTI 29-100 days: 58%, p<0.001) and 5-year EFS (DTI 0-14 days: 31%; DTI 15-28 days: 39%; DTI 29-100 days: 45%, p<0.001). In multivariable analyses, the association of DTI with outcomes remained consistent after adjusting for age and International Prognostic Index (IPI). Shorter DTI was strongly associated with adverse clinical factors, including elevated lactate dehydrogenase levels, poor performance status, B-symptoms, and higher IPI in both cohorts (all P < .003). DTI was not associated with age, sex, or distance from the LEO/MER center (all p>0.3). 6% patients with DTI of 0-14 days received 1L treatment on a clinical trial, compared to 11% with DTI 15-28 days and 13% with DTI 29-100 days, underscoring that patients with lower DTI may be underrepresented in clinical trials. When examining within PTCL subtypes, the association between short DTI (0-14 days) and inferior outcomes was most prominent in PTCL, NOS (OS HR=2.13, 95% CI: 1.52-2.94; EFS HR =1.49, 95% CI: 1.19-1.85). Associations between short DTI and outcomes were weaker in other subtypes: nTFHL (OS HR=1.28, 95% CI: 0.83-2.00; EFS HR =1.22, 95% CI: 0.82-1.81), ALCL, ALK-, (OS HR=1.30, 95% CI: 0.59-2.86; EFS HR =1.32, 95% CI: 0.68-2.56), ALCL, ALK+, (OS HR=1.05, 95% CI: 0.26-4.17; EFS HR =2.12, 95% CI: 0.84-5.26). Conclusion Shorter DTI is associated adverse prognostic clinical factors (LDH, stage, high IPI) and inferior EFS and OS in newly diagnosed PTCL. Patients with DTI ≤ 14 days, which represents approximately 1/3 patients with PTCL, may be underrepresented in clinical trials. Understanding of this selection bias should inform clinical trial design and interpretation. Future studies should consider strategies to minimize barriers to enrollment for patients with low DTI.

Abstract Background: IEC-HS is a potentially life-threatening complication following CAR-T therapy in RRMM. Reliable diagnostic biomarkers are needed to help expeditiously identify cases to initiate prompt treatment and supportive care. Serum ferritin, a routinely available laboratory parameter, is commonly elevated in IEC-HS and has been used to identify cases. However, ferritin can also be elevated in cytokine release syndrome (CRS) or secondary to baseline tumor-related inflammation. The optimal diagnostic threshold for post-CAR-T ferritin in IEC-HS in RRMM has not been previously established. Methods: This study used data from 15 centers within the US Multiple Myeloma Immunotherapy Consortium to identify the optimal post-CAR-T ferritin threshold to distinguish RRMM patients (pts) with and without a diagnosis of IEC-HS. Receiver operating characteristic (ROC) analysis was used to determine the optimal threshold based on Youden's Index. The performance of the threshold was evaluated overall and stratified by CAR-T product (cilta-cel, ide-cel). Additional analyses included the temporal relationship of peak ferritin and IEC-HS diagnosis, the evaluation of IEC-HS criteria according to ferritin levels, comparison of IEC-HS criteria co-occurrence, and comprehensive baseline characteristic comparisons across ferritin strata. Results: Of 1502 RRMM CAR-T recipients (ide-cel, n=712; cilta-cel, n=790), 74 patients (4.9%) had a provider-determined diagnosis of IEC-HS. A post-CAR-T ferritin threshold of 7470 ng/mL was identified as optimal for distinguishing pts with and without IEC-HS (AUC 0.938). Sensitivity (0.904) and specificity (0.934) were both very high, indicating high discriminatory ability. Stratified ROC analyses showed near-identical optimal thresholds for cilta-cel (7450 ng/mL; sensitivity 0.885, specificity 0.936, AUC 0.94) and ide-cel (7470 ng/mL; sensitivity 0.952, specificity 0.933, AUC 0.95), indicating minimal impact of CAR-T product on ferritin's prognostic utility. Baseline pt characteristics (N=1,413) differed significantly by ferritin threshold. Pts above the ferritin threshold of 7470 (N=154) were younger (median 64 vs 67 years; p=0.004), more frequently male (65% vs 56%; p=0.043), had higher baseline ferritin (1,300 vs 187; p<0.001), higher ECOG at apheresis (p=0.001), more likely penta-refractory (p=0.016), had higher baseline bone marrow plasma cell burden (p<0.001), and had higher R-ISS scores (p<0.001). Evaluation of IEC-HS criteria (Hines et al, TCT 2023) demonstrated significantly higher rates of laboratory and clinical criteria, including hepatic transaminase elevation (43% vs 15%), hypofibrinogenemia (53% vs 0%), cytopenias (95% vs 81%), hypertriglyceridemia (43% vs 8%), ICANS (52% vs 23%), renal insufficiency (20% vs 0%), and soluble IL-2 receptor elevations (47% vs 4%), in pts with ferritin >7500 ng/mL compared to those with lower ferritin. Heatmap visualization revealed distinct patterns of co-occurring criteria in high- and low-ferritin groups. Assessment of the timing of peak ferritin and IEC-HS diagnosis among IEC-HS cases revealed a median difference of 0 days (IQR: -1, 0), suggesting simultaneous occurrence. Median time to max ferritin was 9 days (IQR 8,12) in IEC-HS pts compared to 8 days (IQR 5,10) in non-IEC-HS pts (Wilcoxon p<0.05). Conclusions: In this analysis of over 1500 patients, a post-CAR-T ferritin level of 7500 ng/mL robustly identifies RRMM pts with IEC-HS following either cilta-cel or ide-cel. Pts exceeding this threshold demonstrate marked enrichment in IEC-HS diagnostic criteria and significant differences in baseline characteristics, warranting further study of the role of ferritin in IEC-HS diagnosis and early intervention.

Abstract Introduction: IEC-HS is an emerging and potentially life-threatening complication in multiple myeloma (MM) patients (pts) treated with CAR-T therapies. We conducted a retrospective, multi-institutional analysis to define the features and outcomes of IEC-HS after ide-cel or cilta-cel in the real-world setting. Methods: This study used data from 15 centers within the US Multiple Myeloma Immunotherapy Consortium for patients with relapsed/refractory MM (RRMM) who received commercial cilta-cel or ide-cel. IEC-HS was defined by each center based on diagnostic criteria (Hines et al, TCT 2023). Kaplan-Meier and multivariable Cox models were used for time-to-event outcomes while logistic regression was used for categorical outcomes. Results: Of 1502 RRMM pts who received either ide-cel (n=712) or cilta-cel (n=790), 74 patients (4.9%) had a provider-determined diagnosis of IEC-HS. Product-specific incidences were 2.9% for ide-cel and 6.7% for cilta-cel. The median time from CAR-T infusion to IEC-HS onset was 9.5 days (range 2-37 days). IEC-HS-related clinical findings (Hines et al, 2024) included cytopenias (95%), elevated soluble IL-2R levels (79%), fever (76%), elevated LDH (71%, median 1,800 U/L), hypofibrinogenemia (70%), hypertriglyceridemia (65%), ICANS (63%), hepatic transaminase elevation (56%), pulmonary involvement (46%), renal insufficiency (29%), hyperbilirubinemia (22%), and hemophagocytosis in bone marrow (6%). The median interval from peak CRS to IEC-HS onset was 4 days (IQR 1–6). Some variables, such as splenomegaly and coagulopathy, were not systematically collected. Nearly all pts received pharmacologic intervention: corticosteroids (94%, n=59), anakinra (76%, n=48), tocilizumab (71%, n=45), emapalumab (13%, n=8), ruxolitinib (16%, n=10), or etoposide (3%, n=2). Only one pt (2%) did not receive any IEC-HS therapy. Among those evaluable for outcomes, 58% (n=35) improved, 12% (n=7) developed further CAR-T-related complications (e.g., recurrent IEC-HS, delayed neurotoxicity), and 30% (n=18) had no therapeutic response and died. Compared to non-IEC-HS pts (n=1,428), those with IEC-HS were younger (median age 63 vs 66), male (61% vs 57%), and more frequently received cilta-cel (72% vs 52%, all p<0.01). They had higher rates of triple-class (81%) and penta-refractory (43%) disease, greater pre-treatment bone marrow plasma cell burden (40% vs 6%), and higher baseline ferritin (1058 vs 208 ng/mL). Prior autologous SCT was less common, and advanced R-ISS stage was more prevalent. IEC-HS was associated with dramatically worse PFS and OS: with cilta-cel, median PFS was 6.5 months (mo) with IEC-HS (vs 33.1 without); for ide-cel, 8.9 vs 11.4 mo. Median OS for cilta-cel IEC-HS pts was 9.6 mo (not reached in non-IEC-HS pts); for ide-cel IEC-HS, 19.6 mo (vs 40.8 mo). Multivariable analysis confirmed IEC-HS as an independent predictor of shorter PFS (HR 1.88, 95% CI 1.29–2.74, p=0.0011) and OS (HR 2.30, 95% CI 1.39–3.83, p=0.0013). Notably, IEC-HS was not associated with lower response rates – either best CR (63.9% vs 64.0%, p=0.71) or ORR (91.8% vs 90.9%, p=0.97). Cilta-cel pts had a higher probability of achieving a deep (CR) response, regardless of IEC-HS status. Grade > 3 CRS occurred in 14% (n=3/21) of ide-cel and 15% (n=8/52) of cilta-cel IEC-HS pts, versus 2% (n=12/691) and 2% (n=13/737) in non-IEC-HS pts, respectively. Any-grade ICANS was observed in 67% (n=14/21) of ide-cel and 55% (n=29/52) of cilta-cel IEC-HS cases, compared to 26% (n=179/690) and 20% (n=148/738) in non-IEC-HS. Grade ≥3 ICANS occurred in 29% (n=6/21) of ide-cel and 26% (n=14/52) of cilta-cel IEC-HS cases, relative to 4% (n=25/690) and 4% (n=27/738) in pts without IEC-HS. Severe infections were also more common: 71% (n=15/21) of ide-cel and 53% (n=28/52) of cilta-cel IEC-HS pts experienced at least one infection, compared to 31% (n=214/691) and 29% (n=217/737) in non-IEC-HS groups. Conclusions: IEC-HS is an uncommon but severe and early complication after CAR T-cell therapy for RRMM. Despite similar ORRs with or without IEC-HS, IEC-HS was associated with significantly worse PFS and OS for both ide-cel and cilta-cel. These findings support the need for vigilant monitoring and potential preemptive treatment strategies to better manage this syndrome.

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.

Abstract Introduction : Current standard of care for smoldering multiple myeloma (SMM), an asymptomatic precursor of multiple myeloma (MM), is observation until progression to active MM. Increasing evidence suggests that patients (pts) with SMM at high risk for progression to active MM may benefit from early treatment (tx). In AQUILA, a phase 3 study in pts with high-risk SMM (NCT03301220), daratumumab (Dara) monotherapy significantly reduced risk of progression to active MM or death with a trend of extending overall survival (OS) vs active monitoring (ActMon), with no new safety concerns. Given the evolution in SMM risk stratification, a post hoc analysis was performed to assess outcomes using the IMWG 2020 and IMWG 2020 plus cytogenetic risk models to assess which AQUILA pts benefited most from Dara monotherapy. Safety and efficacy analysis by age and stem cell collection outcomes were also assessed. Methods: Eligible pts with a confirmed diagnosis (≤5 y) of high-risk SMM per IMWG 2014 criteria, defined as clonal bone marrow plasma cells (BMPC) ≥10% and ≥1 risk factor (IgA SMM, serum protein ≥30 g/dL, serum involved:uninvolved free light chain [I/U FLC] ratio ≥8 and <100, immunoparesis with reduction of 2 uninvolved Ig isotypes, and/or clonal BMPC >50% to <60%) at study entry, were randomized 1:1 to receive subcutaneous Dara or ActMon for 39 cycles, 36 months, or until confirmed disease progression (PD), whichever came first. Primary endpoint was progression-free survival (PFS) assessed by independent review committee, defined as progression to active MM (based on IMWG SLiM-CRAB diagnostic criteria) or death. Secondary endpoints included time to first-line (1L) MM tx and OS. For this post hoc analysis, we assessed outcomes by age, IMWG 2020 high-risk SMM criteria (BMPC >20%, monoclonal spike >2 g/dL, serum FLC ratio >20; ≥2 factors=high risk; also known as the Mayo 2018 or the 20-2-20 criteria), and the IMWG 2020 plus cytogenetic criteria (IMWG 2020 criteria + presence of ≥1 high-risk cytogenetic abnormalities [t(4;14), t(14;16), +1q and/or del13q]; ≥3 factors=high risk). Results : Dara tx showed a PFS benefit across all IMWG 2020 risk subgroups (low: hazard ratio [HR], 0.59; intermediate: HR, 0.70), with the largest benefit in the high-risk subgroup, where the PD/death rate in the ActMon arm was ~1.6-fold that in the Dara arm (62.8% vs 37.5%; HR, 0.36). This benefit of Dara vs ActMon was preserved over time, with 5-year PFS rates of 78.2% vs 71.6%, 56.2% vs 42.9%, and 60.4% vs 23.6% in IMWG 2020 low-, intermediate-, and high-risk groups, respectively. There was a positive trend favoring Dara for time to 1L MM treatment across all IMWG 2020 risk groups (low-risk HR, 0.63; 95% CI, 0.22–1.80; intermediate-risk HR, 0.57; 95% CI, 0.35–0.92; high-risk HR, 0.39; 95% CI, 0.25–0.62). IMWG 2020 plus cytogenetic risk classification results will be available at the time of presentation. When comparing the younger (<65y HR, 0.51; 95% CI, 0.32–0.79) vs the older (≥65y, HR, 0.50; 95% CI, 0.32–0.77) pt population, a PFS benefit was observed regardless of age. Similarity was also observed in TEAE incidence rate when looking into <65, 65 to <75, and ≥75 y subgroups (82.7%, 81.1%, and 87.5% with ActMon; 96.2%, 98.5%, and 95.2% with Dara); however, serious TEAEs were more frequently observed in older ActMon pts (12.2%, 18.9%, and 50.0% with ActMon; 24.8%, 35.8%, and 28.6% with Dara). Across all pts treated/monitored in AQUILA, 23 (11.9%) and 41 (20.9%) pts in the Dara and ActMon arms, respectively, received autologous stem cell transplant as part of their first tx after progressing to active MM, with very limited plerixafor use (Dara, 3 [1.6%] vs ActMon, 9 [4.6%]). Median (range) CD34+ cell yield was 5.0 (2–20)×106 cells/kg body weight among 22 pts in the Dara arm and 5.1 (2–21)×106 cells/kg body weight among 39 pts in the ActMon arm. Conclusions : In this analysis, pts with high-risk SMM from the phase 3 AQUILA study treated with Dara monotherapy experienced long-term PFS benefit across IMWG 2020 subgroups, with the most pronounced benefit in the high-risk subgroup. No notable differences in PFS or safety were observed across age subgroups. Early Dara tx for high-risk SMM did not have a detrimental impact on stem cell yield. Although mature OS analyses are forthcoming, overall, these results further support early intervention with Dara monotherapy vs ActMon among pts with high-risk SMM, regardless of risk stratification criteria used.

Abstract Background Paroxysmal nocturnal hemoglobinuria (PNH) is an ultra-rare blood disease characterized by uncontrolled complement activation with potentially life-threatening complications. Therapeutic options comprise both terminal complement inhibition, targeting C5 to prevent intravascular hemolysis (IVH), and proximal complement inhibition, intervening upstream within the complement cascade to address IVH and extravascular hemolysis (EVH). Pegcetacoplan, the first C3 and C3b inhibitor, demonstrated efficacy and safety in complement inhibitor (CI)–experienced (CIexp) and –naïve (CInaive) patients in two phase 3 studies with a three year follow up (PEGASUS [NCT03500549] and PRINCE [NCT04085601]). The aim of this study was to describe real world clinical and treatment outcomes in CIexp and CInaive PNH patients prescribed pegcetacoplan. Methods Data were drawn from the Adelphi PNH II Disease Specific Programme™, a real-world cross-sectional survey of hematologists and their consulting PNH patients. Data were collected from November 2023–January 2025 in Canada, France, Germany, Italy, Spain, the UK, and the US. Patients prescribed pegcetacoplan for ≥3 months were included and described as CIexp if they had previously been treated with CI, or CInaive if patients had never been prescribed CI therapy. Physicians reported patient demographics, clinical characteristics, and treatment outcomes. Patients provided data on patient-reported outcomes, including the EQ-5D-5L and Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue. Response to pegcetacoplan was categorized as no, minor, partial, good, major or complete response per SAAWP-response criteria (Risitano et al, 2019). Analyses were descriptive. Results Overall, 54 physicians provided data for 77 patients prescribed pegcetacoplan (54 CIexp patients and 23 CInaive patients). Median (interquartile range [IQR]) age was 45.0 (33.5–55.0) years (CIexp, 47.0 [37.0–60.8]; CInaive, 39.0 [30.0–45.0]), 63.6% (Cexp, 64.8%; Cnaive, 60.9%) were male, 57.9% (CIexp, 50.9%; CInaive, 73.9%) were in employment. Median (IQR) time since diagnosis was 2.4 (1.3–4.9) years (Cexp, 3.1 [2.0–5.5]; Cnaive, 1.3 [0.8–2.3]) with median (IQR) time since start of pegcetacoplan initiation being 0.6 (0.4–1.0) year (CIexp, 0.6 [0.4–0.9]; CInaive, 0.6 [0.5–1.2]). Clinical outcomes were measured at treatment initiation and the time of survey, and reported as median (IQR). Hemoglobin levels increased from 9.0 (8.0–9.2) to 11.0 (10.3–12.1) g/dL, and 9.0 (7.0–10.5) to 11.5 (10.6–12.0) g/dL, for Cexp (n=52) and Cnaive (n=21), respectively. Lactate dehydrogenase levels decreased from 490 (295–594) to 260 (189–377) U/L for Cexp (n=53), and 275 (214–775) to 220 (187–278) U/L for Cnaive (n=18). Absolute reticulocyte counts decreased from 200 (135–275) to 113 (105–217) x109/L for Cexp (n=19) and 160 (113–250) to 110 (100–134) x109/L for CInaive (n=7). Positive movement by at least one response category since pegcetacoplan initiation were observed in 85.2% CIexp (n=27) and 61.5% CInaive (n=13); with patients classified as having a ‘good’, ‘major’ or ‘complete’ response increasing from 3.7% to 74.1% for CIexp and 23.1% to 69.2% for CInaive. Perceived severity of PNH improved after pegcetacoplan initiation, with ‘mild’ severity increasing from 13.0% to 68.5% and 34.8% to 87.0%; patients experiencing no fatigue increased from 5.6% to 57.4% and 8.7% to 65.2%, for CIexp and CInaive, respectively. For both CIexp and CInaive, complete treatment adherence was reported for 87.0% of patients. Since pegcetacoplan initiation, proportion of ‘well’ or ‘very well’ controlled PNH patients increased from 14.8% to 96.3% for CIexp and 52.2% to 100.0% for CInaive. Overall, 25 patients self-reported data (n=14 CIexp; n=11 CInaive). Patients reported a mean (Standard Deviation [SD]): EQ-5D VAS score of 66.8 (16.0) and 76.7 (18.7); EQ-5D utility score of 0.86 (0.16) and 0.91 (0.13); FACIT-Fatigue 41.1 (9.5; n=13)and 37.1 (12.2; n=11) for CIexp and CInaive, respectively. Conclusion Improvements in clinical values, perceived PNH severity, control of PNH, and both physician and patient-reported fatigue were observed in CIexp and CInaive patients. These data suggest that pegcetacoplan has positive outcomes regardless of prior CI exposure. These findings indicate that the efficacy of pegcetacoplan in a real-world clinical practice is consistent with results from clinical trials and other real-world evidence for both CIexp and CInaive patients.

Abstract Background: Multiple myeloma (MM) is always preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage or high tumor cell burden (i.e. SLiM criteria, SV Rajkumar Lancet Onc 2014), as morphology and cytogenetics cannot reliably distinguish them. Methods: To identify genomic features underlying clinical behavior in MGUS and SMM, a total of 374 patients with SMM (n= 290) or MGUS (n=84) with available whole exome (whole exome sequencing, WES, n=190) or whole genome sequencing (whole genome sequencing WGS, n=184) were included in the study. Overall, none of the patients had evidence of SLiM or CRAB criteria at the time of the biopsy. Based on the center of origin and availability of WES and WGS, 227 and 97 patients were used to form our study training and validation set. The study was designed in two parts: 1) defining a new classification for MM precursor conditions; 2) integrating genomics to existing prognostic score to improve accuracy in identifying patients at imminent risk of progression. Overall, 68 patients in the training set were either lost to follow-up or enrolled in a clinical trial and they were only included in the classification part of the study. Results: By leveraging the distribution of established MM-defining genomic events (Maura et al. JCO 2024) in the training set, we developed a workflow that differentiates MGUS and SMM into two genomically distinct entities: one with evidence of neoplastic transformation (i.e., genomic MM) and one without (i.e., genomic MGUS). Overall, 39% of MGUS and 91% of SMM cases had genomic evidence of neoplastic transformation in the training set (i.e., genomic MM). When we applied the same workflow and classification to the validation set, 46% and 83% of MGUS and SMM had evidence of neoplastic transformation, respectively. Importantly, none of the patients classified as genomic-MGUS progressed to MM in either the training or validation cohorts, with a median follow-up of 40 and 61 months, respectively. Moreover, all patients with IMWG 2/20/20 high risk SMM were classified as genomic MM in both the training and validation set. Interestingly, 5 out of 62 (8%) patients enrolled in early intervention trials for high risk SMM were genomically classified as genomic-MGUS. Overall, these data demonstrated that the MM genomic background and neoplastic transformation can be acquired very early in time, even before the SMM phase, in line with what observed in solid tumors. To avoid overestimating the prognostic impact of myeloma-defining genomic events—which are, by definition, enriched in the genomic-MM group compared to genomic-MGUS—we restricted our prognostic analysis to patients in whom transformation has already occurred (genomic-MM). In fact, distinct genomic drivers may predict malignant transformation but not necessarily the risk of imminent progression to MM once transformation has occurred. After running 5-fold cross validations corrected for IMWG 2/20/20, only presence of RAS mutations, genomic events involving MYC, presence of neoplastic copy number variant (CNV) signatures and APOBEC mutagenesis were predictive of early progression in the training set. Adding the presence of high-risk myeloma-defining genomic events to the IMWG 2/20/20 model (i.e., genomic-IMWG) significantly improves the accuracy of predicting MM progression in both the training (c-index 0.69 vs. 0.74) and validation sets (c-index 0.74 vs. 0.79), compared to the IMWG 2/20/20 alone. Conclusion: By leveraging comprehensive genomic profiling integrated with the clinical IMWG 2/20/20 risk score, we propose a novel classification and prognostication system for MM precursor conditions, which will better define patients who may benefit from early therapeutic intervention versus watch-and-wait monitoring.

Abstract Background B-cell maturation antigen (BCMA)-targeting immunotherapies represent a promising class of treatment for the management of immunoglobulin light chain (AL) amyloidosis, a disease that is related to clonal plasma cells. Etentamig is a 2nd generation, off-the-shelf, fully human BMCA X CD3 bispecific antibody with bivalent BCMA domain and low CD3 affinity that targets both BCMA-expressing plasma cells and CD3-expressing T cells. Etentamig monotherapy is being studied in multiple myeloma (MM) in an ongoing phase 3 study (NCT06158841). Here, we report the first safety and efficacy results from M24-209, an open-label phase 1/2 study evaluating etentamig monotherapy in patients (pts) with relapsed/refractory (RR) AL amyloidosis from dose level 1 (DL1). Methods The phase 1 dose escalation (ESC) portion of the study (NCT06158854) with etentamig enrolled pts with RR AL amyloidosis with ≥1 prior lines of therapy (LOT), including a proteasome inhibitor and an anti-CD38 monoclonal antibody with no prior BCMA exposure. Eligible pts were required to have a difference in involved and uninvolved serum free light chain (dFLC) of ≥50 mg/L, and pts with Mayo Clinic 2004 cardiac risk stage IIIb with NT-proBNP ≥8500 pg/ml were excluded. Three dose groups were explored in dose ESC (etentamig dose levels [DL] 1, 2, and 3). In all cohorts, pts will receive up to 24 cycles of treatment and will be followed until disease progression. In dose ESC, the primary objectives are to determine safety/tolerability, pharmacokinetic/pharmacodynamic, and recommended phase 2 dose. The secondary objectives include evaluation of efficacy as measured by hematologic response and organ response. Responses are investigator assessed per consensus guidelines (Comenzo, et al. Leukemia. 2012. 26[11]:2317-25; Palladini G, et al. Amyloid. 2021 [Epub];28[1]:1-2). Results As of 17 July 2025, all DLs in dose ESC have been fully enrolled, and 12 pts have been treated with etentamig at DL1. Due to short follow-up, this initial report only includes data from DL1, with further follow-up data from ESC to be included at the time of presentation. Median duration of follow up in DL1 was 9.4 months (8.3–13.8) with 83% of pts continuing treatment. Median age for pts was 72 years (range, 56–85 years). Median number of prior LOT was 2 (range, 1–6), and median time from initial diagnosis was 3.6 years. Thirty-three percent have received a prior stem cell transplant and 50% previously received the regimen of daratumumab with cyclophosphamide, bortezomib, and dexamethasone in combination. Median dFLC at study baseline was 110. 5 mg/L (range, 56.6–617.5). At baseline, 83% of pts had cardiac involvement, 25% had renal involvement, and 8% had hepatic involvement. Eighty-three percent of pts had lambda AL amyloidosis. Treatment-emergent adverse events were reported in 100% (42% Grade ≥3) of pts at DL1. Cytokine release syndrome (CRS) occurred in 2 pts (17%, all Grade 1), with no instances of any grade immune effector cell-associated neurotoxicity syndrome (ICANS). CRS occurring after the first dose had median time to onset of 6.8 hours (range, 6.7–6.9). Grade ≥3 infections occurred in 1 pt (8%, all Grade 3). Grade ≥3 neutropenia also occurred in 1 pt (8%, all Grade 3), and no Grade ≥3 events of thrombocytopenia or anemia occurred. No Grade 5 events have occurred. Within the dose ESC DL1 cohort, the overall hematologic response rate was 100%, with all pts achieving ≥VGPR and 83% of pts achieving complete response (CR). The median time to CR was 0.9 months (0.3–9.3). The median duration of response has not yet been reached and 100% of pts remain in their best overall response by investigator assessment. To date, no pts have experienced hematologic progression on study. Cardiac response was observed in 30% of evaluable pts. Renal response was seen in 67% of evaluable pts. Conclusions In the DL1 cohort, etentamig showed a manageable safety profile in AL amyloidosis with low incidence and severity of CRS, no ICANS, and limited Grade ≥3 cytopenia events. Deep and rapid hematologic responses were observed with 100% ≥VGPR rate and 83% hematologic CR rate. Additional dose-level data will be presented at the time of the meeting. All pts remain in ongoing follow-up and evaluation, and the study will begin the dose expansion (EXP) portion after dose selection.