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Long-term progression-free survival benefit with ciltacabtagene autoleucel in standard-risk relapsed / refractory multiple myeloma
Costa, Luciano da Fontoura , Manier, Salomon , Voorhees, Peter M. , Lin, Yi, Htut, Myo , Ho, Phoebe Joy, Shah, Urvi, Zhao, Man , Balogh, Ágnes , Li, Katherine , Slaughter, Ana, Benachour, Nina, Lonardi, Carolina, Sun, Huabin, Lendvai, Nikoletta , Lengil, Tamar, Patel, Nitin , Koneru, Mythili, Florendo, Erika, Costa, Octavio, Mahajan, Vrinda, Strouse, Christopher , Stewart, Keith, Sidana, Surbhi , Sidana, Surbhi , Strouse, Christopher S , Costa, Luciano, Oriol, Albert , Dytfeld, Dominik , Roeloffzen, Wilfried W. H. , Li, Quanlin , Ghosh, Arnab , Rodríguez‐Otero, Paula

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 94-94

10.1182/blood-2025-94 Get It

Abstract Introduction: The CARTITUDE-4 study (NCT04181827), which enrolled patients with lenalidomide-refractory multiple myeloma (MM) after 1–3 prior lines of therapy (pLOT), demonstrated a significant benefit of ciltacabtagene autoleucel (cilta-cel) over established triplet regimens. However, the benefit of cilta-cel for patients with standard-risk cytogenetics remains less defined. Here, we report outcomes in patients with standard-risk cytogenetics from the intent-to-treat and as-treated populations in CARTITUDE-4. Methods: InCARTITUDE-4, patients randomized to the cilta-cel arm underwent apheresis and bridging treatment with either pomalidomide, bortezomib, and dexamethasone (PVd) or daratumumab, pomalidomide, and dexamethasone (DPd), followed by lymphodepletion therapy with cyclophosphamide and fludarabine, and then a single cilta-cel infusion. Progression-free survival (PFS) was assessed using a validated computerized algorithm. The intent-to-treat population included 208 patients; 32 patients progressed or died on bridging therapy, resulting in an as-treated population of 176 patients. Patients with high-risk cytogenetics, defined as del(17p), t(14;16), t(4;14), gain/amp(1q) (n=105), or with unknown cytogenetics (n=12), were excluded from the as-treated analysis. The 12-month minimal residual disease (MRD)-negative complete response (CR) was defined per the International Myeloma Working Group criteria as the proportion of participants with CR or better prior to and at 12 months (±3 months), achieving MRD-negative status at 12 months (+3 months) after cilta-cel infusion, as determined by next-generation sequencing (10-5), prior to progressive disease or subsequent anti-myeloma therapy. For the as-treated population, PFS rates were measured from the time of cilta-cel infusion. Results: In CARTITUDE-4, in the intent-to-treat population, at a median follow-up of 33.6 months, patients with standard-risk cytogenetics had a 30-month PFS rate (95% CI) of 71.0% (58.8–80.2) in the cilta-cel arm (N=69) vs 43.2% (31.3–54.5) in the standard-of-care (SOC) arm (N=70). Patients with standard-risk cytogenetics in the as-treated population (n=59) had a 30-month PFS rate of 80.5% (95% CI, 67.2–88.8). In CARTITUDE-1 (NCT03548207), which evaluated cilta-cel in patients with heavily pretreated relapsed/refractory MM (RRMM; ≥3 pLOT), the 30-month PFS rate among patients with standard-risk cytogenetics (negative for del(17p), t(14;16), or t(4;14); n=68) was 59.9% (95% CI, 47.2–70.5). In the CARTITUDE-4 as-treated population with standard-risk cytogenetics, 8 PFS events occurred within 1 year and 4 PFS events beyond 1 year of cilta-cel infusion. Twenty-six patients achieved MRD-negative CR at 12 months after cilta-cel; 100.0% of these patients were progression free at 30 months. Fourteen patients were not evaluable for MRD due to: calibration failure (n=12), no sample availability for testing (n=1), or indeterminate results post baseline (n=1). Conclusions: The PFS rate at 2.5 years for patients with standard-risk RRMM was higher in CARTITUDE-4 compared with CARTITUDE-1, supporting the use of cilta-cel as early as second line in the treatment course. In CARTITUDE-4 (as-treated population), 80.0% of patients with standard-risk cytogenetics were progression free and off treatment at 2.5 years. In patients with standard-risk disease who achieved MRD-negative CR at 1 year, this rate increased to 100.0%. The low rate of progression events in cilta-cel-treated patients with standard-risk cytogenetics shows the profound benefit of a single cilta-cel infusion in this population.
Predictive performance of the LEO comorbidity index in patients aged 80+ years with large B-cell lymphoma
Vodička, Prokop , Masar, Michal, Thompson, Carrie A. , Benešová, Kateřina , Lossos, Izidore S. , Polgárová, Kamila , Kořen, Jan , Cohen, Jonathon B. , Sálková, J, Kovařı́ková, Petra, Cahn, Elliot, Konířová, Eva , Dlouhá, Jitka, Patel, Dilan A. , Blahovcová, Petra, Friedberg, Jonathan W. , Flowers, Christopher R. , Maláriková, Diana , Williams, Annalynn M , Nze, Chijioke , Feldman, Andrew L. , Karban, Josef , Mou, Eric , Martin, Peter, Tsang, Mazie , Reagan, Patrick Michael , Jaye, David L. , Klánová, Magdalena , Klener, Pavel , Maurer, Matthew J. , Habermann, Thomas M. , Trněný, Marek , Cerhan, James R.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2741-2741

10.1182/blood-2025-2741 Get It

Abstract Introduction The LEO Comorbidity Index (LCI), comprising ten equally weighted comorbidity categories (respiratory, cardiovascular, digestive, hepatic, renal, autoimmune, diabetes, cancer history, HIV, and stroke), has demonstrated prognostic utility in patients with non-Hodgkin lymphomas. However, its predictive accuracy may vary with increasing age, due to age-related rises in comorbidity burden and physiological vulnerability. To investigate these dynamics, we evaluated the age-stratified predictive performance of LCI in patients with large B-cell lymphoma (LBCL), with a focused analysis on individuals aged 80+ years. We also examined which specific comorbidities most strongly influenced overall survival (OS) and developed a simplified, clinically applicable index tailored to this population. Methods We first included adults ≥40 years with newly diagnosed LBCL and recorded comorbidities from the LEO registry (USA, 2015–2020; n=1,652) to assess age-stratified predictive performance of LCI using the C-index. Next, we focused on patients 80+ years (n=263), pooled from the LEO cohort (n=147) and NiHiL registry (restricted to General Hospital, Prague, Czech Republic, 2010–2023; n=116). Comorbidities were collected from patient self-reports (LEO) and/or medical records (LEO/NiHiL). Univariate and multivariate Cox models were used. The primary endpoint was OS. Results Among the total LBCL population (n=1,652), LCI predictive performance improved by age category with C-index for patients <65 of 0.584, 65–79 years 0.579, and ≥80 years 0.647, indicating stronger discrimination in the 80+ group. Subsequent analysis focused on patients aged 80+ years (n=263; median age 83). Within this cohort, 34% had ECOG performance status (PS) 2–4, 66% stage III–IV disease, 59% elevated lactate dehydrogenase, 35% >1 extranodal site involved, and 58% International Prognostic Index (IPI) score of 3–5. A total of 377 comorbidities were reported, averaging 1.43 per patient (1.22 in LEO; 1.61 in NiHiL). LCI distribution was: 0 points in 24% (n=62), 1 point in 33% (n=88), and 2–5 points in 43% (n=113). Higher LCI scores had worse ECOG PS 2–4: 19% (LCI=0), 33% (LCI=1), and 43% (LCI ≥2; P=0.01), and inferior OS (median 6.9 years LCI=0, 3.0 years LCI=1, and 2.8 years LCI≥2, resp.; P=0.02). Presence of ≥1 comorbidity was associated with shorter OS compared to no comorbidities (HR=1.67, P=0.01). The LCI was an independent predictor of OS after adjusting for age (HR=1.18, P=0.01, C-index 0.623), IPI (HR=1.16, P=0.03, C-index 0.628) as well as for recently proposed SENIOR-IPI (HR=1.14, P=0.049, C-index 0.665). When evaluating individual comorbidities, heart disease (HR=1.54, P=0.01), stroke (HR=1.89, P=0.03), and recent malignancy (HR=1.99, P=0.02) were independent predictors of OS. Based on these findings, we developed a simplified LCI (sLCI) for use in 80+ patients incorporating only the three comorbidities (1 point each). Patients were categorized as sLCI: 0 (49%, n=129), 1 (44%, n=115), and 2–3 points (7%, n=19). sLCI scores 0, 1, 2–3 were associated with ECOG PS 2–4 27%, 37%, and 63%, respectively (P=0.01) and inferior OS: median 5.3 years (0), 2.5 years (1), and 1.4 years (2–3; P<0.01). sLCI remained an independent and strong predictor of OS after adjusting for age (HR=1.71, P<0.01, C-index 0.636), IPI (HR=1.66, P<0.01, C-index 0.635), and SENIOR-IPI (HR=1.60, P<0.04, C-index 0.659). The results were consistent in both NiHiL and LEO cohorts and remained significant among patients treated with anthracyclines (sLCI adjusted for age: HR=1.58, P<0.01, C-index 0.607; for IPI: HR=1.53, P=0.01, C-index 0.623; for SENIOR-IPI: HR=1.51, P=0.01, C-index 0.633). Conclusion Comorbidity burden becomes increasingly prognostic with higher age in LBCL patients. In the 80+ individuals, comorbidities – particularly heart disease, recent cancer, and stroke – have an independent impact on OS. While the original LCI captures the impact of broadly defined comorbidities, its prognostic utility attenuates in the 80+ patients, likely reflecting limited relevance of indolent chronic conditions in this population's constrained survival horizon. The sLCI, focused on the most prognostically relevant comorbidities, offers practical risk stratification. Incorporation of sLCI into clinical decision-making – alongside other prognostic indices – could better identify high-risk individuals and guide treatment strategies. Funding: NU21-03-00411, U01 CA195568.
Subsequent primary malignancies after CAR-T therapy: A study from the US multiple myeloma immunotherapy consortium
Biran, Noa , Roney, Patrick , Ahn, Jaeil, Tan, Melinda, Sidana, Surbhi , DeJarnette, Shaun, Afrough, Aimaz , Gaballa, Mahmoud , Khouri, Jack , Goel, Utkarsh , Zanwar, Saurabh , Gordillo, Christian , Cassano, Raffaella Cassano , Bhurtel, Jenny , Shune, Leyla , Freeman, Ciara L. , Davis, James A. , Green, Kimberly M , Mikkilineni, Lekha , Hosoya, Hitomi , Sannareddy, Aishwarya , Patel, Krina K. , Sborov, Douglas W. , Cahoon, Christopher, Purvey, Sneha , Ferreri, Christopher, Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Zolotov, Eli , Rees, Matthew J. , Banerjee, Rahul , Dima, Danai , Pasvolsky, Oren , Raza, Shahzad , Anwer, Faiz , Lin, Yi , Atrash, Shebli , Reshef, Ran , Portuguese, Andrew J. , Kort, Jeries , Geer, Marcus , Xie, Zhuoer , Puglianini, Omar Castañeda , Hansen, Doris K. , Locke, Frederick L. , Nishihori, Taiga , Grajales‐Cruz, Ariel , Herr, Megan M. , Hassan, Hamza , Anderson, Larry D. , Khan, Adeel , Wagner, Charlotte B , Fortuna, Gliceida Galarza

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

10.1182/blood-2025-5852 Get It

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.
Real world outcomes of bispecific T-cell engagers in plasma cell leukemia
Gaballa, Mahmoud, Julian, Kelley, Afrough, Aimaz, Hansen, Doris, Goel, Utkarsh, Corraes, Andre De Menezes Silva, Dima, Danai, Rana, Masooma, Hosoya, Hitomi, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Banerjee, Rahul, Zanwar, Saurabh, Pasvolsky, Oren, Sannareddy, Aishwarya, Borogovac, Azra, Davis, James, Green, Kimberly, Biran, Noa, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Richards, Tiffany, Abid, Muhammad Bilal, Bal, Susan, Ali, Hossam M., Ye, J Christine, Richard, Shambavi, Kaur, Gurbakhash, Shain, Kenneth, Puglianini, Omar Alexis Castaneda, Rossi, Adriana, Anderson, Larry, Voorhees, Peter, Khouri, Jack, Sidana, Surbhi, Portuguese, Andrew, Janakiram, Murali, Lee, Hans, Lin, Yi, Grajales-Cruz, Ariel, Patel, Krina, Sborov, Douglas, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Gaballa, Mahmoud, Julian, Kelley, Afrough, Aimaz, Hansen, Doris, Goel, Utkarsh, Corraes, Andre De Menezes Silva, Dima, Danai, Rana, Masooma, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Banerjee, Rahul, Zanwar, Saurabh, Pasvolsky, Oren, Borogovac, Azra, Davis, James, Green, Kimberly, Biran, Noa, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Richards, Tiffany, Abid, Muhammad Bilal, Bal, Susan, Ali, Hossam M., Ye, J Christine, Richard, Shambavi, Kaur, Gurbakhash, Shain, Kenneth, Puglianini, Omar Alexis Castaneda, Rossi, Adriana, Anderson, Larry, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Janakiram, Murali, Lee, Hans, Lin, Yi, Grajales-Cruz, Ariel, Patel, Krina, Sborov, Douglas

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 823-823

10.1182/blood-2025-823 Get It

Abstract Background Patients (pts) with plasma cell leukemia (PCL) were excluded from key trials, so we assessed their outcomes with standard of care bispecific antibodies (BsAbs). Methods Our multicenter retrospective US Myeloma consortium study included PCL pts treated with BsAbs. PCL was defined as ≥5% circulating plasma cells, including primary PCL, secondary PCL, historical PCL, and active PCL within 30 days of BsAb initiation. Endpoints were toxicity rates, overall response (ORR), progression-free survival (PFS), and overall survival (OS). Results Our study involved 122 PCL pts from 15 US centers with: 27% primary PCL, 65% secondary PCL, 51% active PCL, 53% women, median age of 65 years (range 31-83), 77% white, 15% black, 60% high-risk cytogenetics, 45% high bone marrow burden (≥50% plasma cells), 5% CNS myelomatosis, and 20% EMD. Median prior lines of therapy (tx) were 6 (IQR 5-9), 94% triple-refractory, 57% penta-refractory, 73% prior transplant, and 57% prior BCMA tx (70% in talquetamab group, 41% in BCMA BsAb group). Treatments included 4 cohorts: 37% teclistamab, 11% elranatamab, 42% talquetamab definitive tx, and 11% talquetamab bridge to CAR-T. BsAb was used either as monotherapy (94%) or in combination (6%) with other agents. CRS grade (G) 1 was 41%, G2 14.8%, G3 2.5%, and G4 1.6%, while ICANS G1 was 8.2%, G2 7.4%, G3 3.3%, and G4 1.6%. Infections occurred in 34% and median hospitalization was 10 days (IQR 8-15). Of 110 evaluable pts, ORR was 54.5%, with 24.5% CR, 13.6% VGPR, and 16.4% PR. The ORR was 60.8% for talquetamab definitive tx (21.6% CR, 23.5% VGPR, 15.7% PR), 46.2% for elranatamab (38.5% CR, 7.7% PR), and 33.3% for teclistamab (20% CR, 4.4% VGPR, 8.9% PR). Talquetamab bridge to CAR-T in 12 evaluable pts had a pre-CAR-T day 30 ORR of 58.3% (16.7% CR, 8.3% VGPR, 33.3% PR). With a median follow-up of 8.3 months (mo), the median (m) PFS was 3.2 mo, and mOS was 9.2 mo, with similar outcomes between primary vs. secondary PCL (p=0.37 for PFS, p=0.18 for OS). Talquetamab definitive tx had better outcomes with a mPFS of 5.5 mo, mOS of 11.5 mo, 10-mo PFS of 31.2%, and 10-mo OS of 55.7%, and further improved when used as a bridge to CAR-T, with unreached mPFS, unreached mOS, 10-mo PFS of 53.8%, and 10-mo OS of 62.7%. BCMA BsAbs had inferior outcomes, with teclistamab yielding a mPFS of 1.2 mo, mOS of 8.1 mo, 10-mo PFS of 15.3%, and 10-mo OS of 44.3%, while elranatamab showed a mPFS of 1.6 mo and mOS of 3.6 mo (p=0.007 for PFS, p=0.023 for OS). In BCMA naive pts, BCMA BsAbs' outcomes remained inferior to talquetamab with a mPFS of 1.2 mo and mOS of 3.4 mo (p=0.003, 0.001). Sixty pts with active PCL had a poor mPFS (1.6 vs. 4.4 mo, p=0.036) and mOS (5.3 vs. 10.7 mo, p=0.004) compared to pts with only historical PCL. However, in active PCL, talquetamab definitive tx (n=29) showed superior outcomes with a mPFS of 6.9 mo and mOS of 12.2 mo (p=0.003, 0.012). Talquetamab bridge to CAR-T (n=3) showed a mPFS of 3.2 mo and mOS of 5.2 mo. BCMA BsAbs had inferior outcomes: teclistamab with a mPFS of 0.7 mo and mOS of 1.4 mo, while elranatamab showed a mPFS of 1.0 mo and mOS of 3.1 mo (p=0.003, 0.012). In BCMA naive pts, BCMA BsAbs' efficacy remained poor with a mPFS of 0.7 mo and mOS of 1.4 mo (p=0.006, 0.002). While in pts with only historical PCL (without active PCL), BCMA BsAbs in BCMA naive pts led to similar outcomes with a mPFS of 5.2 mo and mOS of 8.5 mo, compared to a mPFS of 3.7 mo and mOS of 10.4 mo with talquetamab (p=0.90, 0.86). Multivariable analysis (MVA) associated active PCL with worse PFS (p=0.035, HR=1.93, CI 1.05-3.55) and OS (p=0.017, HR=2.3, CI 1.16-4.60), talquetamab with improved PFS (p=0.009, HR=0.41, CI 0.21-0.81) and OS (p=0.012, HR=0.40, CI 0.19-0.82), and talquetamab bridge to CAR-T with improved PFS (p=0.042, HR 0.28, CI 0.08-0.95) without reaching statistical significance for OS (p=0.11, HR 0.29, HR 0.07-1.3). MVA results remained similar when the talquetamab bridge to CAR-T cohort was excluded. Conclusions Despite PCL's poor prognosis, talquetamab was superior to BCMA BsAbs in active PCL, with a mPFS of 6.9 mo and mOS of 12.2 mo, aligning with the broader cohort. BCMA BsAbs had poor efficacy in active PCL, even in BCMA naive pts, with a mPFS of 0.7 mo and mOS of 1.4 mo. In historical PCL without active PCL, BCMA BsAbs in BCMA-naive pts showed comparable outcomes to talquetamab. In the overall cohort, talquetamab bridge to CAR-T improved PFS without reaching significance for OS benefit in MVA.
Talquetamab outcomes in relapsed/refractory myeloma with extramedullary and paraskeletal soft tissue plasmacytomas
Afrough, Aimaz, Pasvolsky, Oren, Zanwar, Saurabh, Gaballa, Mahmoud, Sannareddy, Aishwarya, Dima, Danai, Goel, Utkarsh, Ali, Hossam M., Julian, Kelley, Corraes, Andre, Cassano, Raffaella, Janakiram, Murali, Goldsmith, Scott, Davis, James, Green, Kimberly, Biran, Noa, Fogel, Lindsay, Zolotov, Eli, Herr, Megan, Hassan, Hamza, Shune, Leyla, Kort, Jeries, Bal, Susan, Costa, Luciano, Ye, J Christine, Joiner, Laura, Raza, Shahzad, Anwer, Faiz, Khouri, Jack, Banerjee, Rahul, Portuguese, Andrew, Sidana, Surbhi, Rana, Masooma, Mikkilineni, Lekha, Hosoya, Hitomi, Atrash, Shebli, Ferreri, Christopher, Varga, Cindy, Sborov, Douglas, Midha, Shonali, Nadeem, Omar, Grajales-Cruz, Ariel, Baz, Rachid, Blue, Brandon, Freeman, Ciara Louise, Locke, Frederick, Patel, Krina, Lin, Yi, Kumar, Shaji, Hansen, Doris, Anderson, Larry, Voorhees, Peter, Puglianini, Omar Alexis Castaneda, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Afrough, Aimaz, Pasvolsky, Oren, Zanwar, Saurabh, Gaballa, Mahmoud, Dima, Danai, Goel, Utkarsh, Ali, Hossam M., Julian, Kelley, Corraes, Andre, Cassano, Raffaella, Janakiram, Murali, Goldsmith, Scott, Davis, James, Green, Kimberly, Biran, Noa, Fogel, Lindsay, Zolotov, Eli, Herr, Megan, Hassan, Hamza, Shune, Leyla, Kort, Jeries, Bal, Susan, Costa, Luciano, Ye, J Christine, Joiner, Laura, Raza, Shahzad, Anwer, Faiz, Khouri, Jack, Banerjee, Rahul, Portuguese, Andrew, Rana, Masooma, Mikkilineni, Lekha, Atrash, Shebli, Ferreri, Christopher, Varga, Cindy, Sborov, Douglas, Midha, Shonali, Nadeem, Omar, Grajales-Cruz, Ariel, Baz, Rachid, Blue, Brandon, Freeman, Ciara Louise, Locke, Frederick, Patel, Krina, Lin, Yi, Kumar, Shaji, Hansen, Doris, Anderson, Larry, Voorhees, Peter, Puglianini, Omar Alexis Castaneda

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 825-825

10.1182/blood-2025-825 Get It

Abstract Background: Talquetamab (Talq), a GPRC5D-targeting bispecific antibody, shows promising activity in relapsed/refractory multiple myeloma (RRMM). However, outcomes in patients (pts) with soft tissue plasmacytoma (STP) remain poorly characterized. Method: We retrospectively analyzed 463 RRMM pts treated with Talq at 15 U.S. centers by Dec 2024. Pts were grouped by presence of STP at Talq start: (1) extramedullary disease (EMD; lesions not contiguous with bone), (2) paraskeletal disease (PSK; bone-contiguous), (3) EMD + PSK, and (4) No-STP. Those receiving Talq as a bridge-to-CAR T (n=103, 22%) were censored at CAR T infusion if progression had not occurred. Time-to-event endpoints were calculated from Talq step-up, using Kaplan-Meier/Cox models. Result: Median age was 66 years (y) (35–89); 54 (11.7%) had EMD, 26 (5.6%) PSK, 60 (13%) EMD+PSK, and 320 (69%) No-STP. EMD pts were younger than No-STP (62 vs 66 y, p=.009), while PSK (66.5) and EMD+PSK (64.5) were similar to No-STP. Median prior lines were higher in PSK (7) vs EMD (5), EMD+PSK (6) and No-STP (6) (p=.035). Median time from diagnosis to Talq was shortest in EMD (3.8 y), followed by EMD+PSK (4.6 y), vs PSK (6.4 y), and No-STP (5.9 y) (p=.015). Among pts with any EMD (EMD or EMD+PSK), 81 (69%) had visceral involvement and 85 (73%) had multiple lesions. Rates of prior BCMA- or GPRC5D-directed therapy, plasma cell leukemia (≥5% circulating plasma cells at the time of Talq), and penta-refractoriness were similar across groups. ECOG ≥ 2 at Talq was more common in EMD (42%), PSK (39%), EMD+ PSK (37%) than in No-STP (23%) (p = .002). Other baseline features were similar. Cytokine release syndrome (CRS) rate/severity were similar across groups. The immune effector cell–associated neurotoxicity syndrome (ICANS) was more frequent in PSK (38%) vs EMD (11%), EMD + PSK (18%), and No-STP (11%), with the most PSK cases (60%, 6/10) being grade ≥2 (p=.006). No difference in CRS/ICANS onset or duration. Infection rates were lower in No-STP (36%) vs EMD (55%), PSK (46%), and EMD+ PSK (48%) (p=.025). Best overall response rates (ORR) were 71% in EMD, 68% in PSK, 67% in EMD+PSK, and 71% in No-STP (p=.9). Complete response (CR) rates were 14% in EMD, 20% in PSK, 13% in EMD+ PSK, and 25% in No-STP (p=.1) [CRs were not required to be confirmatory, which may not meet full IMWG criteria]. Radiographic response was evaluable in 41 EMD (86%), 16 PSK (61.5%), and 48 EMD+PSK (80%) pts, with partial response (PR) or better observed in 48%, 27%, and 38%, respectively. Among pts with any STP, 34% received radiation (XRT) (4 as bridge-to-CAR T), 24 (51%) were evaluable, and 71% (n=17) achieved ≥PR. The median follow-up from Talq initiation was 10.1 months (mo) (95% CI: 8.8–11.4) and was longest in EMD (13.9 mo) compared with PSK (10.8 mo), EMD+PSK (12.4 mo), and No-STP (9.8 mo) (p = .040). Median progression-free survival (PFS) was 4.3 mo (95% CI: 3.6–5.06) in EMD, 4.8 mo (95% CI: 2.2–7.3) in PSK, 3.8 mo (95% CI: 3.1-4.5) in EMD+ PSK, and 8.3 mo (95% CI: 7.0–9.6) in No-STP (p <.001). Among pts receiving XRT for any STP (within 4 weeks prior to or during Talq), responders had longer PFS vs non-responders (15.4 vs. 2.4 mo; p=.009). Multivariable analysis (MVA) showed inferior PFS with EMD (Hazard Ratio (HR) 1.58; 95% CI, 1.04-2.3; p=.029), EMD+PSK (HR 1.91; 95% CI, 1.2–2.8; p = .001), ECOG ≥ 2 (HR 1.4; 95% CI, 1.04–1.9; p = .024), and del(17p) at any timepoint (HR 1.99; 95% CI, 1.1–3.5; p=.017), while longer time from diagnosis to Talq was modestly protective (HR 0.95 per year; p = .016), likely reflecting less aggressive biology in those reaching 5th+ line later. PSK alone showed a non-significant trend toward inferior PFS (HR 1.5; p = .1). Median overall survival (OS) was 13.0 mo (95% CI: not reached [NR]–NR) in EMD, 12.9 mo (95% CI: 6.9–18.9) in PSK, 10.9 mo (95% CI: NR–NR) in EMD+PSK, and NR (95% CI: NR–NR) in No-STP (p = .017). The primary cause of death was disease-related across all groups (p = .6). MVA for OS showed worse outcomes with EMD+PSK (HR 1.7; p=.033), ECOG ≥ 2 (HR 1.98; p <.001), and active PCL at Talq (HR 2.1; p =.010). Conclusion: Soft tissue plasmacytoma, particularly EMD and EMD+PSK, remain strong adverse prognostic factors in Talq-treated patients, with significantly shorter PFS and OS despite similar response rates. Radiation to STP sites was associated with improved outcomes in select cases. Prospective strategies are needed to optimize management for this high-risk population.
Outcomes of bispecific T-cell engagers in MM patients with central nervous system (CNS) involvement
Gaballa, Mahmoud, Feng, Lei, Afrough, Aimaz, Banerjee, Rahul, Davis, James, Borogovac, Azra, Zanwar, Saurabh, Julian, Kelley, Biran, Noa, Puglianini, Omar Alexis Castaneda, Mikkilineni, Lekha, Ferreri, Christopher, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Dima, Danai, Pasvolsky, Oren, Green, Kimberly, Janakiram, Murali, Hassan, Hamza, Kalariya, Nilesh, Corraes, Andre, Fogel, Lindsay, Singhal, Ruchi, Grajales-Cruz, Ariel, Blue, Brandon, Haider, Asad, Sannareddy, Aishwarya, Seif, Sherif, Thomas, Sheeba, Rana, Masooma, Ye, J Christine, Richards, Tiffany, Hosoya, Hitomi, Atrash, Shebli, Anderson, Larry, Goldsmith, Scott, Sidana, Surbhi, Voorhees, Peter, Sborov, Douglas, Lin, Yi, Portuguese, Andrew, Hansen, Doris, Patel, Krina, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Sannareddy, Aishwarya , Gaballa, Mahmoud, Feng, Lei, Afrough, Aimaz, Banerjee, Rahul, Davis, James, Borogovac, Azra, Zanwar, Saurabh, Julian, Kelley, Biran, Noa, Puglianini, Omar Alexis Castaneda, Mikkilineni, Lekha, Ferreri, Christopher, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Dima, Danai, Pasvolsky, Oren, Green, Kimberly, Janakiram, Murali, Hassan, Hamza, Kalariya, Nilesh, Corraes, Andre, Fogel, Lindsay, Singhal, Ruchi, Grajales-Cruz, Ariel, Blue, Brandon, Haider, Asad, Seif, Sherif, Thomas, Sheeba, Rana, Masooma, Ye, J Christine, Richards, Tiffany, Atrash, Shebli, Anderson, Larry, Goldsmith, Scott, Voorhees, Peter, Sborov, Douglas, Lin, Yi, Portuguese, Andrew, Hansen, Doris, Patel, Krina

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 824-824

10.1182/blood-2025-824 Get It

Abstract Background Patients (pts) with multiple myeloma and CNS involvement (CNS MM) have poor outcomes, and we recently showed that CAR-T has activity and is reasonable in this population (Gaballa et al., 2025). We sought to evaluate the safety and efficacy of Bispecific T-cell engagers (BsAbs) in CNS MM pts, with specific interest in evaluating ICANS. Methods We conducted a retrospective study of CNS MM pts treated with BsAbs via the MM immunotherapy consortium. Primary endpoints were toxicity rates, with a specific focus on ICANS. Secondary endpoints were systemic responses, CNS responses, and survival outcomes. CNS MM was defined as involvement of the brain parenchyma, spinal cord tissue, leptomeningeal disease, or CSF positivity. CNS response was determined based on CSF and imaging, as complete CNS response, partial CNS response, and non-response/progression. Results The study included 24 pts from 13 US institutions treated with teclistamab (33%), talquetamab (50%), elranatamab (17%), and were used as monotherapy in 83% while 17% received them in combination with either daratumumab or IMiDs. The median age was 64.5 (range 41-82), 50% female, 79% white, and 17% black. High-risk cytogenetics were identified in 39%, 4% had prior primary PCL, and 21% had secondary PCL (2 active within 30 days of BsAb initiation). All pts were triple-refractory, 33% were penta-refractory, and 39% had non-CNS EMD. Pts received a median of 5 prior lines of therapy (IQR 4-7), 71% prior transplant, and 21% prior CAR-T. Prior BCMA therapy was received in 83% of the talquetamab group and 17% of the BCMA BsAbs group (teclistamab and elranatamab). CNS disease was determined based on both imaging and CSF findings in 58%, imaging only in 33%, and CSF only in 8%. Site of CNS disease included 42% brain/cranial nerves, 13% spinal cord, or 46% with both. CNS disease was diagnosed prior to BsAb in 19 pts, with a median interval of 46 days (IQR 7-234), and 3 pts were identified within 2 weeks after BsAb initiation. Two pts identified at days 68 and 121 were included in the safety evaluation but excluded from the efficacy assessments. One pt received teclistamab and intrathecal chemotherapy (IT chemo) as a bridge to CAR-T and achieved a complete CNS response before CAR-T. CNS-directed therapy consisted of: 30% radiotherapy (RT), 30% IT chemo, 13% RT + IT chemo, 9% RT + surgery, and 4% steroids. CRS grade (G) 1-2 occurred in 50%, with no G3-4 CRS. ICANS G 1, 2, and 3 occurred in 13%, 21%, and 4%, respectively, with no G 4 ICANS. One pt developed delayed parkinsonism, and another developed leukoencephalopathy; both had CNS MM diagnosed pre-BsAbs and achieved a CNS response (1 complete, 1 partial). Infections occurred in 67% of pts, with 42% being severe, and 1 infection-related death. The systemic ORR of 18 evaluable pts was 67%, including 22% CR, 17% VGPR, and 28% PR. The overall CNS response of 19 evaluable pts was 58%, including 37% complete CNS response and 21% partial CNS response. Of 11 pts achieving a CNS response, 82% didn't have subsequent CNS progression. In 9 pts achieving CNS response after BsAb initiation, the median time to CNS response was 0.9 months (range 0.03-2.8), with an unreached median duration of CNS response. With a median follow-up of 11 months, the median PFS was 5.0 months (95% CI 2.5-NA) and OS was 12.2 months (95% CI 7.7-NA). No significant difference in median PFS (10.6 vs 4.6 months, p=0.11) or OS (20.2 vs 9.3 months, p=0.37) was observed between BCMA BsAbs (n=11) and talquetamab (n=11). Due to small sample limitation, no significant difference was observed in the median PFS (4.6 vs 8.2 months, p=0.48) or OS (20.2 vs 9.9 months, p=0.73) between BsAb monotherapy (n=19) and BsAb combination therapy (n=3). One pt who received teclistamab as a bridge to CAR-T achieved a complete CNS response and remains progression-free to date, demonstrating the best long-term outcome with a PFS of 674 days. Conclusions Our study demonstrates that BsAb use in pts with CNS MM is safe without increased incidence of ICANS. The use of BsAbs in combination with a multimodal CNS-directed approach led to an overall CNS response rate of 58% and an unreached median duration of CNS response. Previous studies (Gaballa et al., 2025) reported a 100% CNS response rate with CAR-T. In this study, 1 pt treated with BsAb as a bridge to CAR-T had the longest PFS, warranting further research to evaluate this combination's efficacy in this very high-risk population.
Safety and efficacy of talquetamab in patients with relapsed and refractory multiple myeloma (RRMM) with and without renal impairment (RI)
Joiner, Laura, Pasvolsky, Oren, Afrough, Aimaz, Zanwar, Saurabh, Banerjee, Rahul, Cassano, Raffaella Cassano, Gaballa, Mahmoud, Julian, Kelley, Grajales-Cruz, Ariel, Alsina, Melissa, Goel, Utkarsh, Corraes, Andre, Dima, Danai, Rana, Masooma, Hosoya, Hitomi, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Ali, Hossam M., Sannareddy, Aishwarya, Sborov, Douglas, Borogovac, Azra, Janakiram, Murali, Davis, James, Green, Kimberly, Biran, Noa, Hassan, Hamza, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Midha, Shonali, Nadeem, Omar, Puglianini, Omar Alexis Castaneda, Shain, Kenneth, Abid, Muhammad Bilal, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Lin, Yi, Sidana, Surbhi, Hansen, Doris, Patel, Krina, Costa, Luciano, Bal, Susan, Anderson, Larry, Sidana, Surbhi , Hosoya, Hitomi , Davis, James A. , Ali, Hossam M. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Ali, Hossam M , Sannareddy, Aishwarya , Joiner, Laura, Pasvolsky, Oren, Afrough, Aimaz, Zanwar, Saurabh, Banerjee, Rahul, Cassano, Raffaella Cassano, Gaballa, Mahmoud, Julian, Kelley, Grajales-Cruz, Ariel, Alsina, Melissa, Goel, Utkarsh, Corraes, Andre, Dima, Danai, Rana, Masooma, Mikkilineni, Lekha, Fogel, Lindsay, Raza, Shahzad, Ali, Hossam M., Sborov, Douglas, Borogovac, Azra, Janakiram, Murali, Davis, James, Green, Kimberly, Biran, Noa, Hassan, Hamza, Herr, Megan, Shune, Leyla, Bhurtel, Evguenia, Atrash, Shebli, Ferreri, Christopher, Midha, Shonali, Nadeem, Omar, Puglianini, Omar Alexis Castaneda, Shain, Kenneth, Abid, Muhammad Bilal, Voorhees, Peter, Khouri, Jack, Portuguese, Andrew, Lin, Yi, Hansen, Doris, Patel, Krina, Costa, Luciano, Bal, Susan, Anderson, Larry

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 827-827

10.1182/blood-2025-827 Get It

Abstract Background Talquetamab (talq) is a GPRC5D-directed bispecific antibody (BsAb) approved for the treatment of relapsed and refractory multiple myeloma (RRMM). The pivotal monumenTAL-1 clinical trial did not include patients with renal impairment (RI, creatinine clearance<40 mL/min) and therefore, data for the use of this agent in RI is lacking. Methods We examined the outcomes of patients with RRMM treated with standard of care (SOC) talq in a multicenter, retrospective cohort study. RI was defined as creatinine clearance (CrCl) <40 mL/min. For each patient we recorded demographics, disease characteristics, prior therapies, incidence and severity of adverse events of special interest, namely cytokine release syndrome (CRS) and immune-cell associated neurotoxicity syndrome (ICANS), along with response, progression-free (PFS) and overall survival (OS). We compared binary variables between different groups using Chi-squared test and assessed progression free survival (PFS) and overall survival (OS) using Kaplan Meier and Cox proportional hazards models. Patients who received talq as a bridge therapy prior to chimeric antigen receptor T-cells (CART cells) were censored for PFS analysis at the time of subsequent therapy. Results We included 417 patients who received SOC Talq and had complete datasets. 91 (22%) had RI, including 20 (5%) on dialysis. The median age was 68 and 65 years for patients with and without RI. Patients with RI were more likely to be female (64% vs. 51%), less likely to have prior CART cells (35% vs. 48%). There were no differences in performance status, race, presence of high-risk cytogenetic abnormalities [del17p, t(4;14), t(14;16), gain/amplification 1q], lines of prior therapy (median 6 vs. 6), prior ASCT (68% vs. 72%), presence of CNS disease (4% vs. 4%), prior plasma cell leukemia (8% vs 9%), prior BCMA therapy (54% vs. 61%) and triple class refractory disease (90% vs. 94%) among patients with and without RI. Rates of CRS (63% vs. 56%, P=0.21) were similar in the two groups, while severe CRS (grade ≥3: 6% vs 2%, P=0.02) was more common in patients with RI. Any grade (20% vs 14%, P=0.21) and high grade ICANS (grade ≥3: 4% vs 4%, P=0.97) were similar in patients with and without RI. There was no difference between groups on risk of infection (P=0.65) with cumulative risk at 6 months of 39% vs. 40%. With 11.1 months of median follow up, the overall response rate (60% vs 67%; P = 0.12), and progression-free survival (median 7.3 vs. 6.5 mo.; P = 0.9) were comparable between the two groups. There was no difference in outcomes according to RI in both patients previously treated with BCMA-directed therapy and BCMA-naïve. Conversely, among patients with RI, median PFS was 4.6 and 8.5 mo. for patients with and without prior BCMA therapy. Similarly, among patients without RI, median PFS was 6.5 and 6.2 mo, respectively. Among BCMA-naïve patients, there was no difference in OS between patients with and without RI (median not reached, 12 mo. OS rate 71% vs. 73%, P=0.53), while among patients with prior BCMA-directed therapy there was a trend towards better OS for patients without RI (median 8.9 vs. 13.8 mo; 12 mo. OS rate 43% vs 59%, P=0.06). Five patients (25%) became dialysis independent following talq therapy. On multivariable analysis, ECOG >1 (HR 1.62, 95% C.I. 1.25-2.10, P<0.001) and deletion of 17p (HR 1.55, 95% C.I. 1.17-2.06, P=0.003) but not RI or prior BCMA-directed therapy affected PFS. OS was affected by ECOG >1 (HR 2.37, 95% C.I 1.71-3.30, P<0.001), triple-class refractoriness (HR 3.03, 95% C.I. 1.12-8.21, P=0.03) and prior BCMA-directed therapy (HR 1.79, 95% C.I. 1.24-2.59, P=0.002) but not by RI. Conclusion Our findings support the feasibility of talq in patients with RI, including those on dialysis, with similar safety and efficacy profile to patients without RI. While neither prior BCMA-directed therapy nor RI affect PFS, refractoriness to conventional agents and prior exposure to BCMA-directed therapy adversely affects OS. This observation likely reflects better post progression survival following talq due to the availability of efficacious therapeutic options, including those directed at BCMA.
Comparison of real-world survival outcomes and time toxicity of CAR T-cell versus bispecific antibody therapies in relapsed/refractory follicular lymphoma: A multicenter cohort from 15 US academic institutions
Abbott, Diana, Amorim, Ana , Houshyar, Samin , Adhikari, Arjab, Patel, Dilan A. , Wanjiku, Christopher, Bock, Allison M. , Any, Haya Al, Desai, Nidhi , Gupta, S. C. , Altomare, Nicole , Trotier, Daniel, Ricker, Edd , Hill, Brian T. , Gupta, Supriya , Major, Ajay , Abbott, Diana , Snyder, Jordan Andrew , Ahmed, Nausheen , Villasboas, José C. , Sharp, John, Voorhees, Timothy , Wallace, Danielle, Wagner, Charlotte B , Brooks, Taylor , Tsang, Mazie , Rajab, Mohamed , Iqbal, Madiha , Gupta, Supriya, Karmali, Reem , Pophali, Priyanka A. , Cherng, Hua‐Jay J. , Gupta, Arjun

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1798-1798

10.1182/blood-2025-1798 Get It

Abstract Background Chimeric antigen receptor T-cell (CAR-T) and bispecific antibody (BsAb) therapies are both effective for patients with relapsed/refractory (R/R) follicular lymphoma (FL), but differ in treatment schedules and associated “time toxicity,” or contact days spent physically interacting with the healthcare system. While contact days can be estimated from clinical trials, real-world data provides a more nuanced depiction of treatment-related time burden, which may guide treatment decision-making. The comparative time toxicity of CAR-T vs BsAb in R/R FL is not defined. Methods We conducted a multicenter retrospective study of adults with R/R grade 1-3A FL who received standard-of-care CAR-T (axi-cel, tisa-cel, liso-cel) or BsAb (mosunetuzumab, epcoritamab) in the third-line or later setting before Jan 1, 2025. Time toxicity was defined as outpatient or inpatient days with physical health care system contact, counting multiple visits on the same day as only one day. All days after treatment initiation were counted, regardless of disease progression, therapy completion, or relation to FL therapy. Median contact days over 1-year time horizon were compared, stratified by CAR-T vs BsAb, prior lines of therapy (LOT, 2 vs 3+), and time intervals (0-1, 1-3, 3-6, 6-9, and 9-12 months). Progression-free survival (PFS) and overall survival (OS) were calculated from day of CAR-T infusion or day 1, cycle 1 for BsAb. Cox regression and propensity matching (by age, ECOG, refractory to prior LOT, POD24) were used to assess predictors and survival associations with contact days. Results Among 209 patients from 15 U.S. academic centers, median age was 64, 37% were female, 61% received CAR-T (80% axi-cel, 7% liso-cel, 13% tisa-cel) and 39% BsAb (93% mosun, 7% epcor). Most had Grade 1-2 FL (72%), advanced stage (84%), and extranodal disease (51%). Median prior LOT was 3 (range 2-15), 41% were refractory to prior LOT, and 52% had POD24. Median number of BsAb doses was 10 (range 1-36). Patients receiving BsAb were significantly older (p<.01) and had higher CIRS comorbidity scores (p<.02) in both 2 and 3+ prior LOT cohorts, and had higher ECOG scores (p=.01) and were less likely to be refractory to prior LOT (p=.029) in 3+ LOT cohort. There were no differences in POD24 rates between CAR-T and BsAb. Median PFS for the entire cohort was 3.6 yrs; median OS was not reached. In the 2 prior LOT cohort (N=75), 60% received CAR-T and 40% BsAb. With median follow-up of 1.5 years, median PFS was not reached for CAR-T and 1.6 yrs for BsAb (p<.0001). In the 3+ prior LOT cohort (N=134), 62% received CAR-T and 38% BsAb. With median follow-up of 2 yrs, median PFS was 3.6 yrs for CAR-T and 1.6 yrs for BsAb (p=.0044). In propensity matched analysis, PFS was shorter for BsAb in both 2 LOT (HR 9.0, 95% CI 1.14-71.04, p=.037) and 3+ LOT (HR 3.25, 95% CI 1.06-9.97, p=.039) cohorts as compared to CAR-T. There were no significant differences in OS between CAR-T and BsAb. Median contact days were significantly higher for CAR-T vs BsAb in the 0-1 month interval: 19 vs 8 days in 2 LOT (p<.0001) and 18 vs 7 days in 3+ LOT (p<.0001) cohorts. There were no differences in contact days between CAR-T vs BsAb in subsequent time intervals. Over 1 year, CAR-T had significantly more time toxicity than BsAb: median 51 vs 36 contact days in 2 LOT (p<.0001) and 64 vs 38 days in 3L+ LOT (p<.0001) cohorts; these remained significant in the matched analysis. B symptoms (p=.04) and Grade ≥3 cytopenias (p=.007) were associated with higher contact days in 3+ LOT cohort in univariable analysis. Higher contact days were associated with inferior PFS (HR 1.01, 95% CI 1.00-1.02, p=.032) and OS (HR 1.01, 95% CI 1.00-1.02, p=.038) in 3+ LOT cohort regardless of treatment type. Discussion In this large real-world cohort of patients with R/R FL, CAR-T therapy resulted in better PFS but more time toxicity over the first year as compared to BsAb therapy. Excess time toxicity from CAR-T was driven by more contact days in the first month of treatment. This study provides benchmark data for counseling patients about expected time burden of CAR-T (51-64 days) and BsAb (36-38 days) over the first year of these therapies. Further, with superior PFS of CAR-T in this study and minimal impact of time toxicity on survival outcomes, these data can be used to better support shared decision-making in R/R FL by addressing patient preferences regarding both contact days as well as duration of disease control.
Atypical hyperlymphocytosis following CAR T-cell infusion
Vossen, Christopher J., Collie, Angela M. B. , Vossen, Christopher J., Collie, Angela M. B.

Blood | December 4, 2025 | Volume: 146 | Issue: 23 | Pages: 2843-2843

10.1182/blood.2025030448 | PMID 41343161 Get It

Delayed-Onset Amiodarone Induced Thyrotoxicosis After Glucagon-Like Peptide-1 Agonist–Related Weight Loss
Black, Meghan, Coyle, Catherine G, Bernet, Victor , McLeod, Christopher J, Chindris, Ana-Maria, Chindris, Ana‐Maria , Black, Meghan L, Bernet, Victor J, Chindris, Ana-Maria , Coyle, Catherine G

JCEM Case Reports | December 4, 2025 | Volume: 4 | Issue: 2 | Pages: No page available

10.1210/jcemcr/luaf313 | PMID 41531741 Get It

Abstract Amiodarone is known to cause thyroid dysfunction, due to both direct cytotoxicity and high iodine content. Due to its lipophilic properties, amiodarone gets stored in the adipose tissue and may induce delayed amiodarone-induced thyrotoxicosis (AIT), months after discontinuation. We present the case of a 60-year-old man admitted with new-onset atrial fibrillation. He had a history of ventricular tachycardia, treated with amiodarone that was discontinued 14 months earlier. On admission, thyrotropin was undetectable, with markedly elevated free thyroxine and total triiodothyronine. He had no previous history of thyroid dysfunction or recent exposure to iodinated contrast. Additional history revealed that the patient had been taking tirzepatide 10 mg weekly resulting in a 54-kg weight loss over the previous 12 months. With this information, a spot urine iodine/creatinine (Cr) was measured and found to be significantly increased at 2323 µg/g Cr (SI: 2075 µmol/mol Cr) (normal reference range <584 µg/g Cr, [SI: <521 µmol/mol Cr]). He was treated with prednisone and methimazole with eventual resolution of hyperthyroidism. Delayed AIT should be considered in the differential diagnosis of new-onset thyrotoxicosis in patients previously treated with amiodarone who experience significant weight loss.