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Banerjee, Rahul

0000-0001-9555-7984

A5043230577 | I201448701

Mayo Clinic

University of Washington

Citations 12

Association between cilta-cel dose and efficacy and toxicity outcomes for patients with Relapsed/Refractory multiple myeloma (RRMM): A real-world analysis from the US multiple myeloma immunotherapy consortium

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 134-134

10.1182/blood-2025-134

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

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 137-137

10.1182/blood-2025-137

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.
Real-world outcomes with elranatamab in multiple myeloma: A multi-center analysis from the United States multiple myeloma immunotherapy consortium

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 136-136

10.1182/blood-2025-136

Abstract Introduction: Elranatamab, a BCMA-CD3 bispecific antibody, has shown efficacy in relapsed multiple myeloma (MM), but real-world data on its safety and effectiveness are limited. Methods: We conducted a retrospective, multi-center study of patients (pts) treated with commercial elranatamab from 8/2023–3/2025 at 9 U.S. academic centers. Logistic and Cox regression were used for binary and time-to-event outcomes, respectively. Multivariable analysis (MVA) adjusted for prior lines of therapy (LOTs), baseline Hgb (per g/dL), and LDH (per 100 U/L) as continuous variables; and for BCMA exposure, extramedullary disease (EMD; extraosseous soft tissue lesions), and ECOG ≥2 as binary variables. Results: Of 130 pts, median age was 71 yrs (range 39–95); 57% were female, 82% white, 13% black, and 35% had ECOG ≥2 (11% ≥3). Median LOTs was 6; 91% were triple-class refractory, 49% penta-refractory, 49% BCMA-exposed (median 15.5 mo [IQR 11.8–20.5] since last exposure), and 49% had prior anti-BCMA CAR-T. Most recent BCMA exposures included: CAR-T (84%), TCE (9.4%), and ADC (6.3%). Only 22% met MagnetisMM-3 cohort A eligibility (which excluded BCMA-exposed pts). High-risk cytogenetics (del(17p), t(4;14), t(14;16), or amp(1q)) were present in 44% (25%, 13%, 6.3%, and 7.9%, respectively). EMD was seen in 22%. Median treatment duration was 4.0 mo (95% CI 2.93–6.3) overall and 7.9 mo (95% CI 5.83–NA) with ≥VGPR. Discontinuation due to toxicity or non-relapse mortality occurred in 12% but was significantly lower among those receiving IVIg (5% vs. 17%, p=0.031); IVIg was given in 47%. The overall response rate (ORR) was 65%, including ≥VGPR in 46% and ≥CR in 36%, consistent with MagnetisMM-3 (ORR 61%, ≥CR 35%; Lesokhin et al. Nat Med. 2023). After median follow-up of 7.5 mo, median PFS was 4.3 mo (95% CI 3.4–11.3), OS was 14.6 mo (95% CI 8.6–NA), and DOR was 12.2 mo (95% CI 6.1–NA). In contrast, MagnetisMM-3 (Prince et al., ASH 2024) reported median PFS and OS of 17.2 and 24.6 mo, respectively, with DOR not reached despite 28.4 mo of follow-up. In univariate analysis, ECOG ≥2 was associated with lower ORR (45% vs. 71%; OR 0.34, 95% CI 0.16–0.73, p=0.006), shorter OS (4.3 mo vs. NA; HR 2.41, 95% CI 1.33–4.35, p=0.004), and shorter PFS (1.7 vs. 6.5 mo; HR 1.77, 95% CI 1.09–2.87, p=0.020). Prior BCMA-directed therapy was linked to reduced odds of ≥VGPR (OR 0.38, 95% CI 0.19–0.77, p=0.008) and ≥CR (OR 0.43, 95% CI 0.20–0.89, p=0.025). Higher baseline LDH was linked to shorter OS (HR 1.37, 95% CI 1.23–1.53, p<0.001) and PFS (HR 1.31, 95% CI 1.18–1.44, p<0.001). Higher baseline Hgb was associated with higher ORR (OR 1.46, 95% CI 1.20–1.81, p<0.001) and ≥CR (OR 1.54, 95% CI 1.26–1.92, p<0.001). Among BCMA-exposed pts, recent exposure (<1 [n=15] vs. ≥1 yr [n=32]) was associated with shorter OS (4.1 mo vs. NA; HR 3.66, 95% CI 1.26–10.6, p=0.017). In MVA, higher baseline LDH remained independently associated with shorter OS (aHR 1.36, 95% CI 1.19–1.54, p<0.001) and PFS (aHR 1.27, 95% CI 1.13–1.43, p<0.001); higher Hgb with greater odds of ≥CR (aOR 1.44, 95% CI 1.14–1.85, p=0.003) and longer PFS (aHR 0.84, 95% CI 0.72–0.99, p=0.034); and BCMA exposure with lower odds of ≥CR (aOR 0.32, 95% CI 0.10–0.91, p=0.037). CRS occurred in 40% (grade ≥2 in 12.3%, grade 3 in 2.3%), and ICANS in 17% (grade ≥2 in 7.7%). These rates contrast with MagnetisMM-3 (no grade ≥3 CRS, 3.4% ICANS). ICANS risk was lower in BCMA-exposed pts (9.4% vs. 24%; OR 0.32, 95% CI 0.11–0.85, p=0.029), and decreased with more LOTs (OR 0.73, 95% CI 0.55–0.92, p=0.016) and higher Hgb (OR 0.71, 95% CI 0.52–0.94, p=0.023). Tocilizumab and steroids were used in 36% (treatment 28%, prophylaxis 9.2%) and 23%, respectively. Steroid use was less common in BCMA-exposed pts (11% vs. 34%; OR 0.23, 95% CI 0.08–0.60, p=0.004) and declined with more LOTs (OR 0.68, 95% CI 0.52–0.85, p=0.002). Infections occurred in 40% of the cohort, more common in pts with CrCl <40 mL/min (59% vs. 36%; HR 2.58, 95% CI 1.02–6.80, p=0.049). IVIg was linked to improved infection-free survival (HR 0.59, 95% CI 0.37–0.93, p=0.023). Conclusions: Elranatamab demonstrated meaningful activity in real-world relapsed MM, though PFS and OS were shorter than in MagnetisMM-3, likely reflecting an older, frailer population with higher disease burden. ICANS was more frequent than in MagnetisMM-3. Baseline anemia and elevated LDH, markers of poor marrow reserve and higher disease burden, were strongly linked to worse outcomes.
Major adverse cardiovascular events after teclistamab in relapsed refractory multiple myeloma: A multicenter study from the u.s. multiple myeloma immunotherapy consortium.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4066-4066

10.1182/blood-2025-4066

Abstract Introduction: Teclistamab is the first FDA approved BCMA-directed bispecific antibody for the treatment of relapsed and refractory multiple myeloma (RRMM). With BCMA-targeting CAR-T therapies, cytokine release syndrome (CRS) is a risk factor for cardiotoxicity. Teclistamab was associated with fatal cardiovascular adverse events (CVAEs) in a recent US pharmacovigilance database analysis, but this analysis was limited by reporting bias. Therefore, the aim of our study is to conduct a multicenter study to define the real-world incidence of CVAEs in RRMM patients treated with teclistamab. Method We performed a retrospective multi-center cohort study of patients receiving teclistamab at 5 medical centers. Baseline oncologic and cardiovascular characteristics (including vital sign and echocardiographic data) were collected. Baseline cardiovascular disease (CVD) was defined as presence of coronary artery disease, congestive heart failure, severe or symptomatic valvular heart disease, or stroke at baseline. CVAE was collected and categorized based on CTCAE v5.0 by each institution. Major adverse cardiovascular event (MACE) was a composite outcome with any of the following: congestive heart failure, asymptomatic cardiomyopathy (interval LVEF drop >10% to resultant LVEF less than 50%), coronary artery disease requiring intervention, stroke or cardiovascular death. Arrhythmia was a composite outcome with any of the following: atrial tachyarrhythmia, ventricular tachyarrhythmia or bradyarrhythmia. Median follow-up was calculated through reverse Kaplan-Meier method. Multivariable Cox regression analysis was used to define the relation between MACE and survival. Cause of death was categorized as myeloma-related death or non-myeloma-related deaths (i.e. CRS, infection or cardiovascular death). Cause-specific Cox regression was performed to define relationship between MACE and cause of death. Results In a cohort of 219 patients treated with teclistamab with median follow-up of 20.1 months, 7.3% (N=16) developed MACE, 7.3% (N=16) developed arrhythmia and 12.8% (N=28) developing any MACE or arrhythmia. MACE occurred at a median of 4.5 days (IQR 2.25-15.75 days) after teclistamab step-up. The incidence of MACE was 16.4% in patients with baseline CVD versus 2.7% in those without baseline CVD (p<0.001). Patients who developed MACE had inferior ECOG performance status (PS) (PS >=2: 62.5% vs. 27.7%; p=0.008). Additionally, baseline hemoglobin level (9 vs 10g/dL; p=0.072) was numerically lower in MACE, compared to no MACE. There was no difference in age, sex, bone marrow (BM) plasma cell burden, ferritin, C-reactive protein or LDH levels between MACE vs. no MACE group. Patients who developed MACE had lower baseline diastolic blood pressure (67.7 vs 73.8mmHg; p=0.041) and numerically lower LVEF (51.4 vs 59.3%; p=0.059; baseline echocardiogram performed in 86% of all cohort). Patients who developed MACE had similar incidences of CRS (Grade >=2: 25.0 vs 16.7%; p=0.620) and immune effector cell-associated neurotoxicity (ICANS) grade 2 or higher (12.5 vs 7.5%; p=0.812). In multivariable Cox regression analysis, MACE was independently associated with inferior overall survival (HR 2.72; 95% CI 1.41-5.25; p=0.003), after adjusting for baseline CVD, age, high BM burden, extramedullary disease, and plasma cell leukemia. In cause-specific multivariable Cox regression analysis, MACE was independently associated with non-myeloma-related death (HR: 10.77 95% CI 4.39- 26.41; p<0.001) but not with myeloma-related death (1.54; 95% CI 0.64- 3.70; p=0.336). Conclusion In conclusion, in this large, real-world multicenter study, we observed that MACE occurred in over 7% of patients following teclistamab for RRMM, typically within 2 weeks of initiation. MACE was significantly associated with increased non-myeloma-related mortality. In contrast to CAR-T therapy, CRS or ICANS were not associated with MACE, whereas majority of patients who developed MACE had ECOG PS >=2 or baseline cardiovascular disease. More studies are necessary to define mechanisms and strategies to reduce these MACE and improve survival. Patients with baseline cardiovascular disease or poor performance status may benefit from cardiovascular optimization before and during teclistamab therapy.
Identifying high-risk profiles and adverse prognoses in relapsed/refractory multiple myeloma treated with bispecific antibodies: A real-world analysis of 943 treatment initiations

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4069-4069

10.1182/blood-2025-4069

Abstract Introduction: Bispecific T-cell engagers (TCE) targeting BCMA (teclistamab, elranatamab) and GPRC5D (talquetamab) are important therapeutic options in relapsed/refractory MM (RRMM). However, data on the independent prognostic impact of individual cytogenetic abnormalities and functional high-risk MM on outcomes with TCEs remains limited. Methods We included RRMM patients treated with BCMA TCEs (teclistamab, elranatamab) and talquetamab across 15 centers in the US. Patients where TCEs were used only as bridging therapy to CAR-T were excluded. High-risk cytogenetic abnormalities (HRCA) included del(17p), t(4;14), t(14;16), 1q gain/amplification (1q21+), del(1p) before initiation of TCE. Functional high-risk disease (FHRMM) was defined as PFS <18 months with frontline therapy. Extramedullary disease (EMD) included visceral or soft tissue disease and excluded paraskeletal disease. Progression-free survival (PFS) was estimated from TCE initiation using the Kaplan–Meier method and compared using the log-rank test. Univariate and multivariable Cox proportional hazards models were used to identify predictors of PFS in the entire cohort and the subcohorts of BCMA TCEs and talquetamab (Talq). Results We analyzed 943 treatment initiations with TCEs in RRMM, comprising 577 BCMA-directed TCEs [teclistamab (n=436) and elranatamab (n=141)] and 366 talquetamab initiations. The median follow-up from TCE initiation was 13.4 months (95% CI: 12.5–14.2) and median age was 68 years (interquartile range 61-75 years). Two ore more HRCAs were noted in 30% of the cohort (34% in Talq vs. 28% in BCMA TCEs, p=0.04), EMD was present in 21% of patients (26% in Talq vs. 18% in BCMA TCEs, p=0.002), and 45.5% of patients had FHRMM (47% in Talq vs. 45% in BCMA TCE, p=0.54). The median prior lines of therapy was 6 (interquartile range: 5-8), with 92% being triple-class refractory (TCR); 60% received prior BCMA-directed therapy (85% in Talq vs. 45% in BCMA TCE, p<0.0001) and 45% had prior CAR-T in 45% (57% in Talq vs. 37% in BCMA TCE, p<0.001). The best overall response rate (ORR) was 67.1 % for the entire cohort (66.4% for BCMA cohort and 68.2% for Talq), with 32.5% patients achieving a ≥ complete response. The median PFS was 7.7 months (95% CI: 6.7–8.6) for the entire cohort, with a median PFS of 10.1 months (95% CI: 7.5-13.4) for teclistamab and 10.1 months (95% CI: 3.9-NR) for elranatamab. In the more heavily pretreated talq cohort, the median PFS was 6.4 months (95% CI: 5.1-7.5). In a univariate analysis (UVA), several HRCAs were associated with inferior PFS−del(17p) (HR 1.59), t(4;14) (HR 1.43), del(1p) (HR 1.54), and ≥2 HRCAs (HR 1.64), all p<0.01. Apart from HRCAs, adverse disease characteristics included FHRMM (HR 1.20) and EMD (HR 1.46); all p<0.05. Among laboratory markers, hemoglobin <9 g/dL (HR 2.10), platelet count <75 ×10⁹/L (HR 1.96), and elevated ferritin (≥600 ng/mL; HR 2.17) (all p<0.01) were prognostic for PFS. ECOG ≥2 (HR 1.62), prior BCMA-directed therapy (HR 1.56), and prior CAR-T (HR 1.44) (all p<0.001) were also associated with inferior PFS. In a multivariable analysis (MVA), prior BCMA therapy (HR 1.72, p<0.0001), ferritin >600 ng/mL (HR 1.68, p<0.0001), hemoglobin <9 g/dL (HR 1.53, p=0.001), ECOG PS ≥2 (HR 1.52, p=0.0009), del(17p) (HR 1.44, p=0.0034) and FHRMM (HR 1.26, p=0.047), were associated with inferior PFS. Within the talq cohort (n=366), EMD (HR 1.64), del(17p) (HR 1.42), del(1p) (HR 1.54), FHRMM (HR 1.34), ECOG ≥2 (HR 1.56), ferritin >600 (HR 1.88), hemoglobin <9 g/dL (HR 1.6), platelet count <75 ×10⁹/L (HR 1.36) and leukopenia <0.25 x 10⁹/L (HR 1.52) were adverse prognostic markers on UVA. A MVA confirmed the independent impact of ferritin >600 ng/mL (HR: 1.77), ECOG ≥2 (HR 1.61) and functional high-risk status (HR 1.52) on PFS, whereas del(17p) and EMD were trending toward significance. Within the BCMA TCE cohort (n=577), prior BCMA therapy (HR 1.9), ferritin >600 (HR 1.79), ECOG ≥2 (HR 1.55), Hb <9 g/dL (HR 1.54), and del(17p) (HR 1.52) were independently associated with inferior PFS on a MVA.Conclusions: In this large real-world cohort of TCE, outcomes varied by fitness, disease biology, and treatment history. The ECOG PS, elevated ferritin, functional high-risk status and del(17p) were consistently associated with inferior PFS. Prior BCMA exposure was an independent risk factor for inferior PFS in the BCMA TCE cohort, but not with talquetamab.
Predictors of early relapse following ciltacabtagene autoleucel: Informing risk-adapted therapy in relapsed/refractory multiple myeloma

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 93-93

10.1182/blood-2025-93

Abstract Introduction Ciltacabtagene autoleucel (cilta-cel) has demonstrated unprecedented response rates and progression-free survival (PFS) in relapsed/refractory multiple myeloma (RRMM), but a proportion of patients experience early relapse. Identifying these patients is essential to guide future therapeutic strategies, such as enhanced bridging therapy or consolidation, while avoiding overtreatment in those likely to achieve durable disease control. Methods We conducted a multi-center study of patients treated with cilta-cel at 15 U.S. academic centers. Outcomes were evaluated based on high-risk (HR) features, including functional HR disease (FHR; relapse within 18 months of first-line therapy initiation), true extramedullary disease (EMD), traditional HR cytogenetics as defined in CARTITUDE-1 [deletion 17p, t(4;14), t(14;16)], and a 2024 IMS-IMWG-adapted HR definition (deletion 17p; t(4;14) or t(14;16) with gain 1q or deletion 1p; and gain 1q with deletion 1p). Multivariable Cox regression was used to examine the association of HR features (FHR, adapted IMS-IMWG HR, and EMD, individually and collectively) with PFS while adjusting for baseline ferritin, prior BCMA, and ECOG performance status (PS ≥2). Among patients with ≥18 months of follow-up, we evaluated predictors of early relapse (≤18 months post infusion) using logistic regression. Results Our cohort included 598 patients treated with cilta-cel between 5/2022 and 12/2024 who had available data on all HR features. The median age was 65 years (range 33-83), and the median prior lines of therapy (pLOT) was 5 (range: 1-18, 84% with >3 pLOT); 8% had received prior BCMA-directed therapy, and 27% were penta-refractory. Most patients (88%) received bridging therapy and 30% achieved ≥ partial response. In our cohort, 33% (n=195) had FHR, 43% (n=258) had traditional HR cytogenetics, 42% (n=253) had adapted IMS-IMWG HR disease, and 11% (n=64) had EMD. Median follow up was 10.6 months (range 0.4-34.1). Overall response rate (ORR) and complete response (CR) rates were lower in patients with vs without HR features: FHR (ORR: 89% vs 94%, CR: 61% vs 75%), traditional HR (ORR: 90% vs 94%, CR: 65% vs 74%), adapted IMS-IMWG HR (ORR: 91% vs 94%, CR: 64% vs 75%) and EMD (ORR: 77% vs 94%, CR: 61% vs 71%). Corresponding 12-month PFS was also lower in patients with vs without HR features: FHR (55% vs 79%), traditional HR (63% vs 78%), adapted IMS-IMWG HR (61% vs 80%) and EMD (59% vs 73%). ORR, CR rate, and 12-month PFS in patients without any HR features compared to those with ≥1 HR feature were 96% vs 90%, 81% vs 64%, and 83% vs 65%, respectively. In multivariable models, each HR feature (FHR, adapted IMS-IMWG HR, and EMD) was independently associated with inferior PFS after adjusting for baseline ferritin, prior BCMA, and ECOG PS ≥ 2. However, because early relapse cannot always be identified a priori based on traditional risk factors, we sought to identify predictors of relapse within 18 months of cilta-cel in a subset of patients with ≥18 months of follow-up (N=247; infused by 12/2023). Notably, while FHR (OR=3.04, 95% CI=1.59-5.89) and adapted IMS-IMWG HR (OR=2.07, 95% CI=1.10-3.89) were independently associated with odds of relapse within 18 months, EMD was not (OR=0.90, 95% CI=0.32, 2.40) when accounting for prior BCMA, ECOG PS ≥ 2, and baseline ferritin. We also used a time-varying Cox model to examine each HR feature associated with PFS at two time periods, <18 and ≥18 months, while adjusting for baseline ferritin, ECOG PS, and prior BCMA. We confirmed that FHR and adapted IMS-IMWG HR were both associated with relapse <18 months (HR=2.05, 95% CI=1.48-2.83 and HR=1.56, 95% CI=1.11-2.19) but not in the ≥18-month time period (HR=0.70, 95% CI=0.19-2.59 and HR=0.76, 95% CI=0.24-2.40). The magnitude of the association for EMD with PFS was similar across both time periods (<18 months HR=1.67, 95% CI=1.09-2.57 and ≥18 months HR=2.17, 95% CI=0.45-10.40). Conclusion While cilta-cel leads to high response rates and durable PFS in RRMM, a subset of patients with FHR and adapted IMS-IMWG HR remains at increased risk for early relapse. In this large multi-center cohort, we describe PFS outcomes across high-risk subgroups and identify key predictors of relapse within 18 months of cilta-cel. These findings inform risk-adapted therapeutic strategies and interventional trials, including bridging, consolidation, or maintenance approaches, to improve outcomes in the highest-risk RRMM patients.
Subsequent primary malignancies after CAR-T therapy: A study from the US multiple myeloma immunotherapy consortium

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5852-5852

10.1182/blood-2025-5852

Abstract Introduction: The CAR-T therapies ide-cel and cilta-cel are approved for patients (pts) with relapsed/refractory multiple myeloma (RRMM). The aim of this study was to determine the incidence, subtypes, and associated risk factors for subsequent primary malignancies (SPMs) in MM pts treated with CAR-T therapy in the real-world setting. Methods: A retrospective, multicenter observational cohort study was conducted of pts who received CAR-T therapy between May 2021 and Dec 2024 at 15 centers within the US Multiple Myeloma Immunotherapy Consortium. Logistic models were used for univariable analyses of invasive SPMs (excluding non-melanoma skin cancers). Variables significant at p < 0.10 were included as candidate variables in the multivariable analysis. Time to event endpoints were analyzed using Kaplan-Meier curves. Results: Of n=1460 CAR-T recipients, median follow-up from the time of CAR-T infusion for the entire cohort, ide-cel, and cilta-cel pts was 13.1, 16.9, and 10 months, respectively. A total of 55 invasive SPMs were noted in 53 pts (SPM incidence 3.6%). The incidence rate of SPMs was 4.55 per 1,000 person-years, based on 53 SPMs occurring over 11,646.14 person-years (calculated from CAR-T to the SPM diagnosis, death, or last follow-up). Baseline characteristics were similar for pts with no SPM versus SPM including: age at CAR-T (median 67 vs 65), female (36% vs 43%), Black (13% vs 16%), prior autologous transplant (87% vs 80%), lenalidomide for ≥2 years (31% vs 27%), high risk cytogenetics (23% vs 29%), and known clonal hematopoiesis (7.5% vs 9.9%). Differences were observed in baseline characteristics among pts with SPM versus no SPM for ≥2 prior alkylator lines of therapy (LOT) (82% vs 60%, p=0.002) and median prior LOT (6 vs 5, p=0.008). There was a trend for more patients with SPMs being age ≥70 (35% vs 37%, p=0.074). Of the 53 SPMs, 26 (49%) were myeloid (MDS or AML), 19 (35.8%) were solid, 7 (13.2%) were of T-cell origin, and 1 was a B-cell lymphoma. Of the T-cell SPMs, three were of T-LGL, though one of the T-LGL pts later developed an invasive CNS T-cell lymphoma (CAR-negative). There were four cases of confirmed CAR-positive T-cell SPMs (all pts treated with cilta-cel), of which two were indolent T-cell lymphoma of the GI tract and two were cutaneous PTCL. There was no difference in total incidence of SPMs among pts who received ide-cel (total=4.4%; myeloid=2.2%, T-cell=0.04%) versus cilta-cel (total=3%; myeloid=1.4%; T-cell=0.5%) (p=0.21). Median OS from the time of CAR-T therapy was 40.8 months for pts without SPM compared to 27.6 months for pts with SPM (p=0.4). Median OS did not differ by myeloid, solid, and T-cell subgroup: 26.4, 37.2, and 24 months, respectively (p=0.21). Median time from CAR-T cell to SPM was 12 months overall, and by subtypes of myeloid, solid, and T-cell was 13.2, 9.6, and 9.6 months, respectively (p=0.74). There was no difference in time to any SPM among pts receiving ide-cel versus cilta-cel (p=0.61). An earlier time to diagnosis of myeloid SPM was observed for cilta-cel versus ide-cel (4.8 vs 20.4 months; p=0.003). Median OS from the time of diagnosis of any SPM, myeloid, solid, or T-cell SPM was 9.6, 7.2, 15.6, and not reached in months, respectively (p=0.006), demonstrating that pts diagnosed with myeloid subtype SPM had inferior OS from the time of their SPM diagnosis compared to other subtypes. The cause of death of 4/11 myeloid SPM pts was the myeloid SPM itself. In univariable analysis for the entire cohort, age ≥70 (p=0.079), ≥5 prior LOT (p=0.012), and ≥2 prior alkylator LOT (p<0.001) were associated with higher risk for SPM. In multivariable analysis, ≥2 LOT containing alkylators was associated with higher risk of SPM (p=0.005). For the univariable analysis of the myeloid subgroup, ≥2 prior alkylator LOT (p=0.016) and ≥2 years of lenalidomide maintenance (p=0.063) were associated with higher risk of SPM. In multivariable analysis, ≥2 years of lenalidomide (p=0.065) was associated with a trend toward increased risk of myeloid SPM. Conclusions: With a median follow up of 13.1 months, the incidence of developing a SPM following CAR-T in pts with RRMM was 3.6%, of which approximately half were myeloid malignancies. There was no difference in SPM incidence when comparing the two CAR-T products. Pts treated with ≥2 alkylator LOT had a higher risk of SPM in multivariable analysis and may warrant additional monitoring for SPM development.
Predictors and Characterization of Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) in Patients with Multiple Myeloma Receiving Teclistamab

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 3337-3337

10.1182/blood-2024-206357

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
Post-CAR-T Driving Restrictions after Week 4 Appear Unnecessary: Data from the United States Myeloma Immunotherapy Consortium

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 3765-3765

10.1182/blood-2024-199609

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.
Outcomes of Elderly Patients with Relapsed Refractory Multiple Myeloma (RRMM) Treated with Teclistamab: A Multicenter Study from the U.S. Multiple Myeloma Immunotherapy Consortium

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 934-934

10.1182/blood-2024-205989

Background: Teclistamab (Tec), a first-in-class BCMA bispecific T-cell antibody, received regulatory approval for the treatment of RRMM based on the MajesTEC-1 study [Moreau et al, NEJM, 2022] which demonstrated an overall response rate (ORR) of 63% and median progression free survival (PFS) of 11.3 months. However, less than 15% (N=24) of patients (pts) enrolled in MajestTEC-1 were ≥75 years, an age cohort that is often underrepresented in clinical trials and comprises approximately one third of MM pts at diagnosis [SEER 22 2017-2021]. In this multicenter retrospective study, we report the real-world safety and efficacy of a large cohort of elderly (≥75 years) RRMM pts treated with Tec. Methods: Pts with RRMM who received standard-of-care Tec across 13 U.S. academic institutions were included in the study. The follow-up data cutoff was 30 April 2024. Pts were divided by age into two groups: age <75 years (<75 group) and age ≥75 years (≥75 group). High-risk cytogenetic abnormalities (HRCA) were defined as the presence of del(17p), t(4;14), t(14;16) and/or gain or amplification of 1q21. Disease response and progression was evaluated using IMWG criteria. Time-to-event analyses were evaluated using the Kaplan-Meier method. Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) assessment was based on the American Society for Transplantation and Cellular Therapy consensus grading. Results: Among 385 pts, 83 (22%) were in the ≥75 group (median age 78, range 75-92) and 302 (78%) in the <75 group (median age 65, range 31-74). Compared to pts in the <75 group, those in the ≥75 group were more often white (78% vs. 63%, p=0.009). Both the ≥75 and <75 age groups had a median of 6 prior lines of therapy, a similar proportion with ECOG ≥2 at start of Tec (29% vs. 24%, respectively; p=0.37), and a high proportion of pts with triple-class-refractory disease (77% vs. 85%, p=0.06) and pts who would have been ineligible MajesTEC-1 (73% vs. 80%, p=0.20). In contrast, pts in the ≥75 group had a lower incidence of adverse MM risk factors compared to the <75 group, including HRCA (44.6% vs. 57.9%, p=0.03), ultra high-risk (≥2 HRCA) MM (12% vs. 24%, p=0.02), extramedullary disease (22% vs. 40%, p=0.02), hemoglobin <8 g/dL (10% vs. 21%, p=0.02) or albumin <3 g/dL (6% vs. 19%, p=0.04) at the time of starting Tec. Moreover, a lower proportion of pts in the ≥75 group had prior autologous stem cell transplantation (43% vs. 72%, p<0.0001) or prior BCMA-directed therapy (33% vs. 55%, p=0.0003). The median time from diagnosis to start of Tec was longer for pts in the ≥75 group (7.21 years vs. 5.81 years, p=0.02). There was no significant difference in rates of any-grade CRS (52% vs. 59%, p=0.27), CRS grade 2-4 (10% vs. 11%, p=0.74) or any-grade ICANS (19% vs. 13%, p=0.12) between the ≥75 and <75 age groups, respectively. Four pts in the entire cohort developed CRS grade 3-4, one of whom was in the ≥75 group. Ten pts developed grade 3 ICANS (none grade 4), three of whom were in the ≥75 group. There was no significant difference between the ≥75 group and <75 group in ORR (62% vs. 53%, p=0.17) and ≥very good partial response (VGPR) rate (53% vs. 44%, p=0.14). After a median follow-up period of 9.9 months (95% CI 9.6-10.6 months), the median PFS in the ≥75 group was 10.7 months (95% CI 6.6-NR) vs. 5.2 months (95% CI 6.6-NR) in the <75 group (p=0.005). At the time of data cut-off, the median overall survival (OS) for pts in the ≥75 group had not been reached (95% CI NR - NR) compared to 16.1 months (95% CI 14.0 - NR) in the <75 group (p=0.048). In multivariable analysis for the entire cohort, age ≥75 was not significantly associated with either PFS (HR 0.87, 95% CI 0.54-1.39; p=0.55) or OS (HR 0.60, 95% CI 0.30-1.19; p=0.15). Conclusions: This analysis of a large cohort of RRMM pts treated with Tec in the real-world setting demonstrates comparable efficacy and safety outcomes in elderly (aged ≥75 years) pts to those reported in the overall study population of MajesTEC-1. The adverse baseline disease characteristics and inferior efficacy in pts <75 years age compared to ≥75 years likely reflect patient selection and prescribing patterns in the early era of access to commercial BCMA bispecific therapy with Tec. In multivariable analysis there was no significant impact of age ≥75 on survival outcomes. OP, DD & LF: co-first authors. KKP, HCL & AGC: co-senior authors