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Enhancing the safety of ciltacabtagene autoleucel in relapsed multiple myeloma (MM): Identification of potentially modifiable risk-factors associated with delayed neurotoxicity and non-relapse mortality
Sidana, Surbhi , Reid, Brett M. , Peres, Lauren C. , Gaballa, Mahmoud , Afrough, Aimaz , Ferreri, Christopher, Varga, Cindy , Rana, Masooma , Hosoya, Hitomi , Mikkilineni, Lekha , Hovanky, Vanna, Zanwar, Saurabh , Kalariya, Nilesh, Mikulski, Damian , Wagner, Charlotte , Cahoon, Christopher, Avila, Gabriel De, Gordillo, Christian , Goel, Utkarsh , Sannareddy, Aishwarya , Cassano, Raffaella Cassano , Midha, Shonali , Gonzalez, Rebecca , Hassan, Hamza , Purvey, Sneha , Green, Kimberly , Liu, Hien , Khouri, Jack , Bal, Susan , Freeman, Ciara L. , Shune, Leyla , Shain, Kenneth H. , Alsina, Melissa , Sborov, Douglas W. , Dahiya, Saurabh , Miklos, David B., Voorhees, Peter M. , Anderson, Larry , Costa, Luciano da Fontoura , Biran, Noa , Kumar, Shaji , Lin, Yi, Patel, Krina K. , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Dima, Danai , Banerjee, Rahul , Pasvolsky, Oren , Dillard, Christen , Atrash, Shebli , Portuguese, Andrew J. , Wagner, Charlotte, Puglianini, Omar Castañeda , Zolotov, Eli , Grajales‐Cruz, Ariel , Kort, Jeries , Davis, James, Herr, Megan M. , Xie, Zhuoer , Hassan, Hamza, Geer, Marcus , Green, Kimberly, Perna, Fabiana , Nishihori, Taiga , Raza, Shahzad , Anwer, Faiz , Nadeem, Omar , Reshef, Ran , Baz, Rachid , Locke, Frederick L. , Miklos, David B. , Costa, Luciano, Biran, Noa , Hansen, Doris K.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1034-1034

10.1182/blood-2025-1034 Get It

Abstract Introduction: Ciltacabtagene autoleucel (cilta-cel) has shown high efficacy in relapsed MM, but further efforts are needed to mitigate non-ICANS delayed neurotoxicity (DNT) and non-relapse mortality (NRM). Identifying risk factors associated with DNT and NRM may help with risk mitigation by aiding the development of interventions for potentially modifiable risk factors and also help with clinical decision making. Methods: In this multi-center retrospective study from the US MM Immunotherapy Consortium, we evaluated 761 patients treated at 15 centers receiving standard of care cilta-cel for relapsed MM between May 2022 to December 2024. Risk factors for DNT, particularly Parkinsonism and NRM were evaluated in by univariable and multivariable analysis. Any NRM events occurring after disease progression were censored for NRM evaluation. Results: The median age of the cohort was 65 years old (range: 30-88), median prior lines of therapy (pLoT) were 5 (range: 1-23). Cilta-cel was used in earlier relapse (1-3 pLOT) in 16% (n=120) patients. High-risk cytogenetics [del 17p, t(14;16) or t(4;14)] were present in 39%, with extramedullary disease (EMD) in 27% and R-ISS stage III in 18% of patients, respectively. Majority of patients (86%) received bridging therapy with response to bridging (≥ partial response, PR) seen in 33% of patients, respectively. Median follow up was 10.1 months, with response rate of 92% and CR rate of 70%. DNT was seen in 10% (n=75) of patients, with distribution as follows: Parkinsonism in 2.9% (n=22), cranial nerve palsy in 4.6% (n=35) and other DNT in 2.4% (n=18), with some patients manifesting more than one type of DNT. Risk of DNT was higher in patients who did not respond to bridging therapy (Any DNT: 12% vs 6%; Parkinsonism: 5% vs 0.5%, both p<0.05) Of the 22 cases of Parkinsonism, 21 patients (95%) did not respond to bridging, even though they achieved a post CAR-T response with ORR of 91% and ≥ CR in 68%. Absolute lymphocyte count (ALC), a surrogate measure of CAR expansion was higher in patients who developed DNT, particularly Parkinsonism, including ALC at days 7,14,21,28 and as peak ALC in the first month post cilta-cel (p<0.05 for all). Median peak ALC for patients with vs without Parkinsonism was: 5.88 vs 1.17/uL (p<0.001). We evaluated risk of Parkinsonism with various thresholds of peak ALC expansion. Amongst patients who developed Parkinsonism vs. not, peak ALC was as follows, > 1000/uL: 100% vs 57%, > 2500/uL: 73% vs 19% and > 3000/uL: 68% vs 14% (all p<0.001). The absolute risk of Parkinsonism with ALC > 3000 vs ≤ 3000/uL was 12% vs 1%, p<0.001; for ALC 2500 vs ≤ 2500uL was 9% vs 1%, p<0.001. On multivariable analysis, peak ALC > 3000/uL (OR: 12.7, p<0.001) and non-response to bridging therapy (OR: 9.9, p=0.03) were independent risk factors for developing Parkinsonism after cilta-cel. After cilta-cel, 1 and 2 year NRM estimates were 9% and 10%, respectively. Amongst 63 (8%) patients experiencing NRM events, the most common cause of NRM was infectious complications (35, 56%), followed by acute immune-mediated adverse events (AEs) like CRS, ICANS, IEC-HS in 14 (22%), delayed immune mediated AEs like DNT and colitis in 6 (9.5%), second cancers in 5 (8%) and other causes in 3 (5%) patients, respectively. When evaluating the timing of NRM events, the risk of infection related mortality remained relatively stable in the first year, though immune mediated toxicty deaths were uncommon after 6 months, while SPMs were uncommon within the first 6 months. On multivariable analysis, non-response to bridging (HR 2.41, p=0.046), poor performance status ≥ 2, high-risk cytogenetics and age ≥ 70 years were independent predictors for NRM. Conclusion: In a large cohort of over 750 patients receiving cilta-cel, we identified potentially modifiable risk factors for Parkinsonism and NRM. Non-response to bridging therapy and peak ALC > 3000/uL were independent predictors of developing Parkinsonism. Peak ALC of > 2500/uL and > 3000/uL were associated with 9% and 12% absolute risk of Parkinsonism. This indicates that peak ALC of 2500/uL or 3000/uL in the first month after cilta-cel may be a potential biomarker to identify patients for pre-emptive interventions such as steroids that can suppress rapid CAR expansion and perhaps decrease the risk of Parkinsonism. In addition, we need to focus on effective bridging strategies to further decrease the risk of Parkinsonism, as well as NRM with cilta-cel.
Predictors of early relapse following ciltacabtagene autoleucel: Informing risk-adapted therapy in relapsed/refractory multiple myeloma
Peres, Lauren C. , Zanwar, Saurabh , Richards, Alicia, Gaballa, Mahmoud , Afrough, Aimaz , Reid, Brett M. , Goel, Utkarsh , Sannareddy, Aishwarya , Ferreri, Christopher J. , Varga, Cindy , Hosoya, Hitomi , Mikkilineni, Lekha , Kalariya, Nilesh, Mikulski, Damian , Cahoon, Christopher, Cheng, Peter K.C. , Gordillo, Christian , Bhurtel, Jenny , Cassano, Raffaella Cassano , Midha, Shonali , Gonzalez, Rebecca , Purvey, Sneha , Green, Kimberly , Liu, Hien , Khouri, Jack , Bal, Susan, Freeman, Ciara L. , Shune, Leyla , Shain, Kenneth H. , Alsina, Melissa , Sborov, Douglas W. , Voorhees, Peter M. , Costa, Luciano da Fontoura , Biran, Noa , Kumar, Shaji , Lin, Yi, Sidana, Surbhi , Patel, Krina K. , Davis, James A. , Sidana, Surbhi , Davis, James A , Hosoya, Hitomi , Hansen, Doris K. , Dima, Danai , Puglianini, Omar Castañeda , Pasvolsky, Oren , Grajales‐Cruz, Ariel , Xie, Zhuoer , Dillard, Christen , Atrash, Shebli , Portuguese, Andrew J. , Wagner, Charlotte B , Zolotov, Eli , Kort, Jeries , Davis, James, Herr, Megan M. , Hassan, Hamza , Geer, Marcus , Green, Kimberly, Perna, Fabiana , Nishihori, Taiga , Raza, Shahzad , Anwer, Faiz , Bal, Susan , Nadeem, Omar , Banerjee, Rahul , Reshef, Ran , Baz, Rachid , Anderson, Larry D. , Costa, Luciano, Biran, Noa , Locke, Frederick L.

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

10.1182/blood-2025-93 Get It

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
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.
CRS/ICANS Prophylaxis does not Improve Outcomes in adult patients with Relapsed/Refractory B-cell acute lymphoblastic leukemia (B-ALL) treated with brexucabtagene autoleucel
McCauley, Ross, Zhang, Amy, Kota, Vamsi, Boccucci, Jacob, Grunwald, Michael, Ulrickson, Matthew, Hill, LaQuisa, Muhsen, Ibrahim, Sasine, Joshua, Advani, Anjali, Aldoss, Ibrahim, Sandhu, Karamjeet, Reshef, Ran, Luskin, Marlise, Lin, Chenyu, Cassaday, Ryan, Kopmar, Noam, Solh, Melhem, Bobillo, Silvina Odstrcil, Tsai, Stephanie, Hilal, Talal, Shah, Bijal, Faramand, Rawan, Park, Jae, Valtis, Yannis, Othman, Tamer, Vasu, Sumithira, Bezerra, Evandro, Leonard, Jessica, Tan, Virginia, O'Dwyer, Kristen, Moore, Jozal, Jamy, Omer, Mohty, Razan, Kumaran, Muthu, Hoeg, Rasmus, Stock, Wendy, Oliai, Caspian, Lill, Georgia, Schwartz, Marc, Koura, Divya, Dykes, Kaitlyn, Logan, Aaron, Daunov, Michael, Byrd, Ken, Yalniz, Fevzi, Frey, Noelle, Connor, Matthew, Yaghmour, George, Gatell, Vivian Irizarry, Jackson, Clayton, Oluwole, Olalekan, Al-Darobi, Ali, Chen, Evan, Lee, Catherine, O'Connor, Timothy, Dholaria, Bhagirathbhai, Bachanova, Veronika, Tracy, Sean, Srinagesh, Hrishikesh, Miller, Katharine, Sutherland, Katherine, Majhail, Navneet, Mountjoy, Luke, Malik, Shahbaz, Ramakrishnan, Aravind, Shaughnessy, Paul, Mathews, John, Wang, Eunice, Battiwalla, Minoo, Roloff, Gregory, Muffly, Lori, Muffly, Lori , Muffly, Lori , McCauley, Ross, Zhang, Amy, Kota, Vamsi, Boccucci, Jacob, Grunwald, Michael, Ulrickson, Matthew, Hill, LaQuisa, Muhsen, Ibrahim, Sasine, Joshua, Advani, Anjali, Aldoss, Ibrahim, Sandhu, Karamjeet, Reshef, Ran, Luskin, Marlise, Lin, Chenyu, Cassaday, Ryan, Kopmar, Noam, Solh, Melhem, Bobillo, Silvina Odstrcil, Tsai, Stephanie, Hilal, Talal, Shah, Bijal, Faramand, Rawan, Park, Jae, Valtis, Yannis, Othman, Tamer, Vasu, Sumithira, Bezerra, Evandro, Leonard, Jessica, Tan, Virginia, O'Dwyer, Kristen, Moore, Jozal, Jamy, Omer, Mohty, Razan , Kumaran, Muthu, Hoeg, Rasmus, Stock, Wendy, Oliai, Caspian, Lill, Georgia, Schwartz, Marc, Koura, Divya, Dykes, Kaitlyn, Logan, Aaron, Daunov, Michael, Byrd, Ken, Yalniz, Fevzi, Frey, Noelle, Connor, Matthew, Yaghmour, George, Gatell, Vivian Irizarry, Jackson, Clayton, Oluwole, Olalekan, Al-Darobi, Ali, Chen, Evan, Lee, Catherine, O'Connor, Timothy, Dholaria, Bhagirathbhai, Bachanova, Veronika, Tracy, Sean, Srinagesh, Hrishikesh, Miller, Katharine, Sutherland, Katherine, Majhail, Navneet, Mountjoy, Luke, Malik, Shahbaz, Ramakrishnan, Aravind, Shaughnessy, Paul, Mathews, John, Wang, Eunice, Battiwalla, Minoo, Roloff, Gregory

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2396-2396

10.1182/blood-2025-2396 Get It

Abstract Introduction: CD19-directed CAR T-cell (CAR-T) therapy has substantially improved clinical outcomes for adults with relapsed or refractory (R/R) B-cell acute lymphoblastic leukemia (B-ALL). However, notable toxicities are associated with CAR-T, including cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). Variable practice patterns have emerged regarding the use of CRS/ICANS prophylaxis (ppx) via corticosteroids and/or other pharmacologic agents, but the utility of these approaches on reducing CRS or ICANS following CAR-T in B-ALL remains unknown. Thus, we utilized the Real-World Outcomes Collaborative for CAR T in ALL (ROCCA) database to evaluate associations between ppx and the development and severity of CRS or ICANS following brexucabtagene autoleucel (brexu-cel) for B-ALL. Methods: Adult patients (pts) who received standard-of-care brexu-cel for relapsed/refractory B-ALL across 40+ US centers were included. Primary endpoints were the incidence of CRS and ICANS within 28 days of CAR-T infusion. Secondary endpoints included timing of CRS and ICANS onset, progression-free survival (PFS) and overall survival (OS). Univariable and multivariable logistic regression evaluated associations between ppx and incidence of CRS/ICANS; KM and log-rank methods were used for survival analyses. Results: A total of 378 pts were included: 53 pts (14.0%) received CRS/ICANS ppx and 325 (86.0%) received no ppx. Ppx agents included steroids only (26.4%), steroid and anakinra (52.8%), anakinra only (15.1%), and steroid and tocilizumab (5.7%). Pts in the ppx group had a higher proportion of Hispanic pts (64% vs 34%), Ph-like (36% vs 19%) and a lower proportion had 0-5% bone marrow blasts at apheresis (38% vs 53%). The ppx and no ppx groups were similar in age, prior therapies, CAR-T indication, and marrow blasts >50%. Cumulative incidence of any grade (gr) CRS was 94% with ppx and 86% with no ppx (p=0.025), of any gr ICANS was 53% with ppx and 51% with no ppx (0= 0.85). Cumulative incidence of gr 3-4 CRS was 9% in the ppx group and 10% in the no ppx group (p=1.00), of gr 3-4 ICANS was 26% in the ppx group and 29% in the no ppx group (p=0.71). Median time to onset for any gr CRS or any gr ICANS was identical in the ppx and no ppx cohorts (CRS: 5 days, range ppx 1-9 days, no ppx 0-14 days; ICANS: 7 days, ppx 1-20 days, no ppx 0-16 days). Univariate logistic regression analyses showed no significant association between ppx and the incidence of gr 2-4 CRS (OR 1.34, 95% CI: 0.75-2.40, p=0.326) or gr 3-4 ICANS (OR 0.88, 95% CI: 0.46-1.70, p=0.708). Multivariate analysis adjusting for ethnicity, leukemia genetic sub-type, and pre-apheresis disease burden similarly found no significant associations between ppx and gr 2-4 CRS (adjusted OR 1.06, 95% CI: 0.55-2.01, p=0.870) or gr 3-4 ICANS (OR 1.23, 95% CI: 0.59-2.55, p=0.584). When comparing steroid-only ppx (N=14) to steroid combinations or other drug ppx (N=39), there was no significant differences in gr 2-4 CRS (57% vs 44%, p=0.345) or gr 3-4 ICANS (43% vs 21%, p=0.115). Comparing cumulative incidence of dexamethasone (dex) exposure, pts in the ppx group had numerically greater dex exposure than pts in the no ppx group, with median (range) dosing of 182 mg (10-1386mg) and 100mg (1-4000mg), respectively. Finally, we found no significant differences in PFS or OS based on ppx. Median PFS was 9.6 months in the ppx group vs 13.3 months in the no ppx group (p=0.646) and median OS was 17.2 months in the ppx group vs 34.4 months in the no ppx group (p=0.170). Conclusions: In this large cohort of adult patients with R/R ALL receiving brexu-cel CAR-T therapy, prophylaxis intended to prevent CRS/ICANS was ineffective at reducing CRS/ICANS incidence, time to onset, or overall steroid exposure. Furthermore, PFS and OS were comparable between patients who received prophylaxis and those who did not. In the absence of prospective trials in B-ALL, these data suggest that current strategies of CRS/ICANS prophylaxis has limited benefit.
KMT2Ar, but not other high-risk genetics, adversely impacts outcomes in adult patients with relapsed/refractory (R/R) Philadelphia chromosome negative B-cell acute lymphoblastic leukemia (B-ALL) treated with brexucabtagene autoleucel (Brexu-cel)
Leonard, Jessica, Ladha, Abdullah, Faramand, Rawan, Roloff, Gregory, Valtis, Yannis, Tan, Virginia, Miller, Katharine, Zhang, Amy, Grunwald, Michael, Kota, Vamsi, Boccucci, Jacob, Ulrickson, Matthew, Al-Darobi, Ali, Hill, LaQuisa, Muhsen, Ibrahim, Sasine, Joshua, Advani, Anjali, Sandhu, Karamjeet, Reshef, Ran, Luskin, Marlise, Chen, Evan, Lin, Chenyu, Cassaday, Ryan, Kopmar, Noam, Solh, Melhem, Lee, Catherine, Bobillo, Silvina Odstrcil, Tsai, Stephanie, O'Connor, Timothy, Hilal, Talal, Park, Jae, Vasu, Sumithira, Bezerra, Evandro, O'Dwyer, Kristen, Moore, Jozal, Wang, Eunice, McCauley, Ross, Majhail, Navneet, Ramakrishnan, Aravind, Mountjoy, Luke, Malik, Shahbaz, Battiwalla, Minoo, Shaughnessy, Paul, Mathews, John, Srinagesh, Hrishikesh, Sutherland, Katherine, Jamy, Omer, Mohty, Razan, Kumaran, Muthu, Hoeg, Rasmus, Oliai, Caspian, Lill, Georgia, Stock, Wendy, Schwartz, Marc, Othman, Tamer, Koura, Divya, Dykes, Kaitlyn, Logan, Aaron, Daunov, Michael, Byrd, Ken, Yalniz, Fevzi, Bachanova, Veronika, Tracy, Sean, Grover, Punita, Connor, Matthew, Yaghmour, George, Gatell, Vivian Irizarry, Jackson, Clayton, Oluwole, Olalekan, Dholaria, Bhagirathbhai, Frey, Noelle, Muffly, Lori, Shah, Bijal, Aldoss, Ibrahim, Muffly, Lori , Muffly, Lori , Leonard, Jessica, Ladha, Abdullah, Faramand, Rawan, Roloff, Gregory, Valtis, Yannis, Tan, Virginia, Miller, Katharine, Zhang, Amy, Grunwald, Michael, Kota, Vamsi, Boccucci, Jacob, Ulrickson, Matthew, Al-Darobi, Ali, Hill, LaQuisa, Muhsen, Ibrahim, Sasine, Joshua, Advani, Anjali, Sandhu, Karamjeet, Reshef, Ran, Luskin, Marlise, Chen, Evan, Lin, Chenyu, Cassaday, Ryan, Kopmar, Noam, Solh, Melhem, Lee, Catherine, Bobillo, Silvina Odstrcil, Tsai, Stephanie, O'Connor, Timothy, Hilal, Talal, Park, Jae, Vasu, Sumithira, Bezerra, Evandro, O'Dwyer, Kristen, Moore, Jozal, Wang, Eunice, McCauley, Ross, Majhail, Navneet, Ramakrishnan, Aravind, Mountjoy, Luke, Malik, Shahbaz, Battiwalla, Minoo, Shaughnessy, Paul, Mathews, John, Srinagesh, Hrishikesh, Sutherland, Katherine, Jamy, Omer, Mohty, Razan , Kumaran, Muthu, Hoeg, Rasmus, Oliai, Caspian, Lill, Georgia, Stock, Wendy, Schwartz, Marc, Othman, Tamer, Koura, Divya, Dykes, Kaitlyn, Logan, Aaron, Daunov, Michael, Byrd, Ken, Yalniz, Fevzi, Bachanova, Veronika, Tracy, Sean, Grover, Punita, Connor, Matthew, Yaghmour, George, Gatell, Vivian Irizarry, Jackson, Clayton, Oluwole, Olalekan, Dholaria, Bhagirathbhai, Frey, Noelle, Shah, Bijal, Aldoss, Ibrahim

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3365-3365

10.1182/blood-2025-3365 Get It

Abstract Introduction: Brexu-cel is a highly effective treatment for R/R B-ALL, with complete responses achieved in 71% of patients (pts) treated in the pivotal ZUMA-3 trial. Patients with B-ALL with high-risk (HR) genetics are known to have inferior outcomes with chemotherapy, but little is known about the influence of HR ALL genetics on responses to chimeric antigen receptor (CAR)-T in adults. In this study, we assessed the impact of HR ALL genetics on outcomes in a large cohort of adult patients treated with brexu-cel for R/R Philadelphia chromosome (Ph)-negative B-ALL. Methods: Patient characteristics and outcomes were obtained from the Real-World Outcomes Collaborative of CAR-T in Adult ALL (ROCCA) database which includes data from 40 U.S. centers. NCCN guidelines (NCCN Guidelines in Oncology, ALL v2.2025) were used to define HR B-ALL genetics; lack of HR genetics was defined as standard-risk (SR). The primary outcome was event-free survival (EFS), defined as lack of response, disease progression, or death from any cause. Secondary outcomes were overall survival (OS), relapse free survival (RFS) and response rates including complete response (CR), CR incomplete count recovery (CRi), measurable residual disease negative CR (MRD-) by flow or NGS and progressive disease (PD). Multivariable models were adjusted for age, pre-infusion blast percentage, prior allo-HCT, and post CAR-T allo-HCT (modeled as a time-varying covariate). Results: The cohort included 286 pts: 169 with HR and 117 with SR B-ALL. The HR cohort included TP53m (n=24, 14%), KMT2Ar (n=16, 9%), CRLF2r (n=65, 39%) and other HR genetics such as JAK2 and other Ph-like, IKZF1, complex cytogenetics (n=64, 38%). Relative to SR pts, HR pts were more commonly Hispanic (50% vs 28%). HR and SR pts had similar disease burden pre-apheresis (>5% blasts: 58% vs 53%), prior blinatumomab (60% vs 58%), prior inotuzumab (42% vs 46%), and prior allo HCT (27% vs 37%). The presence of CNS disease (11% HR vs 12% SR) and extramedullary disease (EMD, 22% HR vs 29% SR) at apheresis was also similar. CR/CRi was achieved in 90.5% of evaluable HR pts (n=147) and 90.2% of evaluable SR pts (n=102); MRD- rates were also similar between HR and SR pts at 78.9% and 78.2% respectively. In unadjusted analyses, EFS did not significantly differ between HR pts (median 9.6 mos; 1-yr: 46%, 95% CI 38%-54%) and SR pts (median 11.6 mos; 1-yr: 48%, 95% CI 38%- 58%). Median RFS (HR: 12.2 mos, SR: 13.3 mos) and median OS (HR: 22.4 mos, SR: 21.0 mos) were also similar. Multivariable models demonstrated no significant associations between HR B-ALL and EFS (HR 1.09, 95% CI 0.73-1.63), RFS (HR 1.13, 95% CI 0.71-1.80), or OS (HR 0.96, 95% CI 0.62- 1.48) relative to SR ALL. 28% of HR patients and 21% of SR patients underwent consolidative allo-HCT. Among the HR subgroup, CR/CRi rate was lowest in KMT2Ar (71%) relative to TP53m (95%), CRLF2r (95%), and other HR genetics (89%). The median EFS was lowest in KMT2Ar (4.1 mos), followed by TP53m (6.9 mos), CRLF2r (11.6 mos), and other HR (11.1 mos). Median OS was also lowest in KMT2Ar (6.8 mos) vs 22.4 mos in TP53m and not reached in CRLF2r or other HR. PD was highest in KMT2Ar pts (29%), as compared to 11% HR other, 10% SR, and 5% TP53 and CRLF2r. The rate of relapse among those that achieved CR across the groups was similar and ranged between 28% -40%. Rates of CD19 negative relapse were similar between all subgroups (13%-15%), however 21% of KMT2A pts underwent myeloid transformation as compared 0% for TP53 and CRLF2 pts, and 2% among other HR and SR pts. 25% of KMT2Ar patients underwent consolidative allo-HCT as compared to 32% CRLF2 pts, 29% TP53 pts, 25% other HR pts and 21% SR pts. Multivariable models evaluating the different genomic subgroups demonstrated that relative to SR B-ALL, only KMT2Ar was associated with inferior OS (HR 3.17, 95% CI 1.53-6.58, p=0020). No associations were seen between HR subgroups and EFS. Conclusion: To our knowledge, this analysis represents the largest examination of adult B-ALL recipients of CAR-T assessed by genomic risk group. We found that response rates and survival outcomes following brexu-cel were similar among HR and SR B-ALL pts, including pts with TP53m and CRLF2r. However, pts with KMT2Ar had lower response rates and dismal EFS and OS, with higher rates of PD and myeloid transformation at relapse, suggesting that alternative strategies are necessary to improve outcomes for patients with R/R KMT2Ar B-ALL.
Mineralocorticoid Receptor Antagonism Reduces Atrial Arrhythmias Post‐Cardiac Surgery and Attenuates Atrial Stress Responses to Cardioplegic Arrest
Danesh, Sina , Khan, Fazal , Chopko, Trevor C. , Lee, Aurora , Huo, Ran , Shuyang, Lu, Tam, Vincy , Gao, Wenbin , Todd, Austin , Maleszewski, Joseph J. , Chen, Y. Eugene , Friedman, Paul A. , Oral, Hakan , Metra, Marco , Pitt, Bertram, Lei, Ienglam , Chopko, Trevor , Lu, Shuyang, Pagani, Francis D , Schaff, Hartzell , Chen, Y Eugene , Friedman, Paul A , Oral, Hakan , Pitt, Bertram , Tang, Paul C , Khan, Fazal Wahab , Metra, Marco , Huo, Ran, Tam, Vincy , Safi, J. Pedro , Todd, Austin, Pagani, Francis D. , Schaff, Hartzell V. , Pitt, Bertram , Tang, Paul C.

Journal of the American Heart Association | October 9, 2025 | Volume: 14 | Issue: 20 | Pages: No page available

10.1161/jaha.125.043661 | PMID 41065249 Get It

Background Postoperative atrial fibrillation occurs in ~40% after cardiac surgery. Mineralocorticoid receptor antagonists (MRA) are known to reduce chronic atrial fibrillation (AF) development and burden. We evaluated the association of preoperative MRA use with postoperative atrial fibrillation and investigated atrial cell types modulated by MRAs during cold preservation. Methods We studied 19 042 cardiac surgery patients at Mayo Clinic. Propensity 1:3 matching identified 298 MRA users and 894 non‐users. A subgroup analysis of patients on any preoperative diuretic was performed to isolate cardiac‐specific effects of MRAs, matching 298 MRA users to 894 non‐MRA diuretic users. AF recurrence was assessed for up to 6‐years. Single‐nucleus RNA sequencing (snRNA‐seq) was performed on human donor atria exposed to canrenone (a water‐soluble MRA) during cold preservation with ex‐vivo reperfusion, and expression profiles were compared with atria from patients with AF. Results After matching, preoperative MRA use was associated with a lower incidence of postoperative atrial fibrillation (19.8% versus 31.8%, P <0.001). In the diuretic‐only subgroup, MRA users also had lower postoperative atrial fibrillation (19.8% versus 33.2%, P <0.001). MRA use was associated with a reduced incidence of paroxysmal and chronic AF at 6‐years. snRNA‐seq identified a cardiomyocyte subpopulation, CM2, with high mineralocorticoid receptor expression where canrenone suppressed cold preservation‐induced mineralocorticoid receptor target gene expression, which was conversely elevated in chronic AF. Canrenone also attenuated stress‐response in atrial macrophages and pericytes. Conclusions Preoperative MRAs were associated with reduced postoperative and long‐term AF after cardiac surgery. Mechanistically, our ex‐vivo human atrial model revealed that MRAs suppress mineralocorticoid receptor ‐driven atrial stress responses, particularly in conduction‐relevant cardiomyocytes.
CAR HEMATOTOX independently predicts outcomes after CD19 CAR-T therapy for acute lymphoblastic leukemia
Valtis, Yannis K. , Lin, Chenyu , Devlin, Sean, Curran, Kevin J., Wang, Xiuyan , Jeyakumar, Nikeshan , Miller, Katharine, Zhang, Amy , Darobi, Ali Al, Sasine, Joshua , Kopmar, Noam E. , Tsai, Stephanie B., Solh, Melhem , Tan, Virginia, Ramakrishnan, Aravind , Shaughnessy, Paul , Mountjoy, Luke , Hoeg, Rasmus T. , Schwartz, Marc S. , Tracy, Sean , Moore, Jozal , Bobillo, María Silvina Odstrcil , Connor, Matthew P. , Ladha, Abdullah , Sutherland, Katherine C. , Muffly, Lori , Park, Jae H. , Shah, Nirali N , Jeyakumar, Nikeshan , Sasine, Joshua , Advani, Anjali S , Chen, Evan , Hilal, Talal , Shah, Bijal , Faramand, Rawan , Bezerra, Evandro D , Dykes, Kaitlyn C , Logan, Aaron C , Moore, Jozal , Odstrcil Bobillo, Silvina , Frey, Noelle V , Connor, Matthew , Ladha, Abdullah , Dholaria, Bhagirathbhai R , Sutherland, Katherine , Roloff, Gregory W , Muffly, Lori , Lin, Chenyu , Nemirovsky, David , Rejeski, Kai , Curran, Kevin Joseph , Kota, Vamsi , Muhsen, Ibrahim N. , Aldoss, Ibrahim , Advani, Anjali S. , Reshef, Ran , Tsai, Stephanie B., Hilal, Talal , Shah, Bijal , Faramand, Rawan , Bezerra, Evandro D. , Battiwalla, Minoo , Mathews, John Abraham , Dykes, Kaitlyn C. , Kumaran, Muthu Sendhil , Schwartz, Marc, Frey, Noelle V. , Dholaria, Bhagirathbhai , Roloff, Gregory W.

Blood Advances | October 6, 2025 | Volume: 10 | Issue: 1 | Pages: 276-288

10.1182/bloodadvances.2025017526 | PMID 41052404 Get It

Abstract Chimeric antigen receptor (CAR) T-cell (CAR-T) treatment for B-cell acute lymphoblastic leukemia (ALL) induces high initial response rates, but most patients relapse. Low disease burden (often defined as &lt;5% blasts in the bone marrow) is associated with better outcomes. CAR HEMATOTOX (HT) is a score using prelymphodepletion hematologic and inflammatory parameters to predict outcomes in lymphoma. Here, we assess its prognostic utility in a large multicenter adult B-cell ALL cohort. Patients who received brexucabtagene autoleucel across 33 centers in North America were included as part of the Real-World Outcomes Collaborative of CAR-T in Adult ALL (ROCCA) consortium. An independent cohort of 61 patients with ALL treated with an investigational CD19 CAR-T therapy at 1 center was also described. Among 199 ROCCA consortium patients, 43 (22%) patients with HTlow scores had lower rates of delayed neutrophil recovery than those with HThigh scores (26% vs 52%, P = .002) and fewer severe infections (2.5% vs 18.8%, P = .011). They also had higher response rates, overall survival (OS), and event-free survival (EFS), as well as lower nonrelapse mortality and cumulative incidence of relapse. The survival differences remained significant after multivariable adjustment for disease burden and other covariates. In the investigational cohort of 61 patients, patients with HTlow scores had improved OS and EFS, as well as higher peak CAR-T expansion. In summary, CAR HT score is a prognostic factor independent of disease burden in adult ALL. HTlow score is associated with superior outcomes after CD19 CAR-Ts and higher CAR-T expansion in a single-center cohort. These trials were registered at www.clinicaltrials.gov as #NCT01044069 and #NCT01860937.
Domain-specific physical activity and mental health: an updated systematic review and multilevel meta-analysis in a combined sample of 3.3 million people
Sousa, Geovan Menezes de , Baker, Thea , Liddelow, Caitlin , Babic, Mark , France‐Ratcliffe, Madeleine , Guagliano, Justin M. , Tremaine, Ella M , Booker, Bridget , Gargioli, Davide , Bannell, Daniel J , Bao, Ran , Brooks, Cristy , Vella, Stewart A. , Lonsdale, Chris , Teychenne, Megan , Sousa, Geovan M , Liddelow, Caitlin , Christie, Hannah E. , Lubans, David R , Swann, Christian , Vella, Stewart A , Lonsdale, Chris , White, Rhiannon L , Chauntry, Aiden J. , Santos, Alexandre

British Journal of Sports Medicine | September 3, 2025 | Volume: 60 | Issue: 4 | Pages: 267-285

10.1136/bjsports-2025-109806 | PMID 40903203 Get It

Objective To update, synthesise and provide meta-analytical evidence of the associations between domain-specific physical activity (PA) and mental health and mental ill-health outcomes. Design Systematic review and multilevel meta-analysis. Data sources In March 2024, we systematically searched five databases. Eligibility criteria Methods employed replicated those of a previous review in 2017. All studies examining associations between domain-specific PA and specified mental health outcomes were included. Results 372 studies met inclusion criteria and 361 were included in the meta-analysis. Across the 372 studies (combined sample size of 3 323 711), 338 examined leisure-time PA, 54 work-related PA, 72 transport-related PA, 44 household PA, 5 school sport and 8 physical education. Multilevel meta-analyses showed that leisure-time PA (r=0.205, 95% CI 0.157 to 0.253), transport-related PA (r=0.138, 95% CI 0.042 to 0.231) and household PA (r=0.096, 95% CI 0.025 to 0.165) were positively associated with mental health . Leisure-time PA (r=−0.149, 95% CI −0.189 to –0.11) and school sport (r=−0.096, 95% CI −0.115 to –0.077) were inversely associated with mental ill health . However, work-related PA (r=0.134 95% CI 0.069 to 0.199) was positively associated with mental ill health . Conclusion The direction of the association between PA and mental health/mental ill health is dependent on the domain in which PA occurs. Promoting PA for leisure purposes is likely to yield the greatest benefits for both promoting mental health and preventing mental ill health. As such, leisure-time PA should be prioritised in messaging, guidelines and interventions/programmes designed to support mental health through PA. PROSPERO registration number CRD42024510303.
The assessment and management of patients with type 2 myocardial infarction: an international Delphi study
Taggart, Caelan , Ferry, Amy V. , Chapman, Andrew , Schulberg, Stacey D. , Bularga, Anda , Wereski, Ryan, Boeddinghaus, Jasper, Kimenai, Dorien M , Lowry, Matthew T.H. , Daniels, Lori B. , French, J. , Gaggin, Hanna K. , Huynh, T. , Jacquin, Laurent , Jaffe, A S, Jernberg, Tomas , Koronowski, Ran, McCarthy, Cian P. , McCord, James , Mickley, Hans , Mueller, Christian , Newby, L. Kristin , Parsonage, William , Smith, Stephen W., Sandoval, Yader, Smilowitz, Nathaniel R. , Thygesen, Kristian , Mills, Nicholas L. , Boeddinghaus, Jasper , Cullen, Louise , Jernberg, Tomas , Mamas, Mamas , Mueller, Christian , Raphael, Claire , White, Harvey Douglas , Lindahl, Bertil , Thygesen, Kristian , Mills, Nicholas L , Daniels, Lori B , Boeddinghaus, Jasper , Chew, Derek P. , Cullen, Louise , Devereaux, P.J. , Mamas, Mamas A. , Morrow, David A. , Raphael, Claire E. , Smer, Aiman Miloud , Sandoval, Yader , Eggers, Kai M. , Lindahl, Bertil

European Heart Journal - Quality of Care and Clinical Outcomes | September 2, 2025 | Volume: 11 | Issue: 8 | Pages: 1421-1430

10.1093/ehjqcco/qcaf069 | PMID 40905366 Get It

Abstract Aims Type 2 myocardial infarction due to myocardial oxygen supply–demand imbalance is associated with poor outcomes. There are no guidelines to inform care for these patients. The consensus on the assessment and management of type 2 myocardial infarction is gained. Methods and results An international e-Delphi study including experts in type 2 myocardial infarction identified through systematic review was conducted. Participants were asked to describe their approach to (i) definition and diagnosis, (ii) risk stratification, (iii) assessment of coronary artery disease and cardiac function, (iv) specialty management, (v) treatment and secondary prevention, and (vi) communication and rehabilitation. Statements generated in round one were circulated, with consensus defined a priori as ≥70% agreement on a 5-point Likert scale. Where no consensus was reached, statements were amended and recirculated for a final round. The response rate was 56% (38/68), 54% (37/68), and 72% (49/68) in the first, second, and third rounds, respectively. Following the first round, 67 unique statements were generated across six domains. Overall, consensus was achieved on 64% (43/67) of statements. Consensus was achieved for 42% (5/12) of statements on the diagnosis of type 2 myocardial infarction, 75% (3/4) on risk stratification, 50% (9/18) on the assessment of coronary artery disease and cardiac function, 60% (6/10), on specialty management, 100% (9/9) on treatment and secondary prevention, and 79% (11/15) on communication and rehabilitation. Conclusion Consensus was obtained across a number of domains for the assessment and management of patients with type 2 myocardial infarction. However, there was limited agreement amongst experts on the diagnostic criteria, which may benefit from refinement.