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12 citation(s) found for "Kort, Jeries".

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

Mayo Clinic

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.
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

Mayo Clinic

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.