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17 citation(s) found for "Sandhu, Karamjeet".

Differential effects of two common GVHD prophylaxis regimens on the gut microbiome: Results from the BMT CTN 1801 study
Wirbel, Jakob , Saber, Wael, Andermann, Tessa M, Fei, Teng , Brooks, Erin F. , Doyle, Boryana , Pincus, Nathan B. , Bar, Merav , Bolaños-Meade, Javier, Chhabra, Saurabh, Choi, Sung Won , Clark, William, Elmariah, Hany, Jones, Richard J. , Jp, Levine, Logan, Brent R, Malki, Monzr M Al, Rashidi, Armin, Rezvani, Andrew R. , Riches, Marcie L., Runaas, Lyndsey, Sandhu, Karamjeet , Spahn, Ashley, Horowitz, MM, Hamadani, Mehdi, Kean, Leslie S. , Perales, Miguel-Angel, Bhatt, Ami S. , Choi, Sung Won , Elmariah, Hany , Andermann, Tessa M. , Saber, Wael , Martens, Michael J , Peled, Jonathan U , Andermann, Tessa M , Fei, Teng , Brooks, Erin F , Doyle, Boryana , Pincus, Nathan B , Jenq, Robert R , Bar, Merav , Bratrude, Brandi , Chhabra, Saurabh , Elmariah, Hany , Gooptu, Mahasweta , Holtan, Shernan , Al Malki, Monzr M , Murthy, Hemant S , Rashidi, Armin , Rezvani, Andrew R , Sung, Anthony D , van den Brink, Marcel R M , Kean, Leslie S , Perales, Miguel-Angel , Bhatt, Ami S , Choi, Sung Won , Saber, Wael , Martens, Michael J. , Peled, Jonathan U. , Jenq, Robert R. , Bolaños‐Meade, Javier , Clark, William, Das, Suman R. , Holtan, Shernan G. , Logan, Brent R. , Malki, Monzr M. Al , Murthy, Hemant S. , Rashidi, Armin , Riches, Marcie , Sung, Anthony D. , Hamadani, Mehdi , Perales, Miguel‐Angel

Mayo Clinic

No container title available | February 20, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.02.19.706769 | PMID 41756883 Get It

Abstract Allogeneic hematopoietic cell transplantation (allo-HCT) is a potentially curative treatment for many hematological malignancies, but graft-versus-host disease (GVHD) is a common complication. Low gut microbiome diversity is associated with higher GVHD risk and shorter survival in multiple studies. Recently, the BMT CTN 1703 clinical trial demonstrated superiority of a GVHD-prophylaxis regimen including post-transplant cyclophosphamide (PTCy) compared to the standard prophylaxis (tacrolimus and methotrexate, Tac/MTX) in terms of GVHD-free, relapse-free survival at one year among reduced intensity conditioning allo-HCT recipients. However, the effect of PTCy on the gut microbiome and its association with clinical outcome have not been described. Here, we report on a companion randomized clinical controlled trial (BMT CTN 1801), which collected 2575 longitudinal stool samples from 304 study participants. Samples were obtained up to weekly up to day 84 post allo-HCT and at less frequent intervals thereafter, up to 2 years. Microbiome diversity and absolute microbial load were lower in the PTCy group compared to the Tac/MTX group on days 14–28 post-HCT. However, diversity at the timepoint closest to neutrophil engraftment was not significantly associated with non-relapse mortality after one year or other clinical outcomes, contrary to expectations from previous studies. Microbial domination events, when a single species exceeds 30% relative abundance, were comparable across treatment arms and reflected both pathogen blooms as well as less severe disruptions of the microbial community. Clostridium scindens and secondary bile acid metabolism pathways were less prevalent in the PTCy arm than in the Tac/MTX arm post-HCT, yet presence of secondary bile acid metabolism pathways was associated with a lower risk of chronic GVHD. Given that PTCy was associated with a greater disruption of the microbiome as measured by diversity, absolute microbial abundance, and bile acid metabolism capability, but better clinical outcomes overall, these data suggest that the importance of the microbiome in modulating the host immune systems after allo-HCT is specific to different types of GVHD prophylaxis.
Blinatumomab nonresponse correlates with poor survival after brexucabtagene autoleucel in B-cell ALL
Srinagesh, Hrishikesh K. , Zhang, Amy, Grunwald, Michael R, Connor, Matthew P, Kota, Vamsi, Boccucci, Jacob , Ulrickson, M., Pradeep, Roshini , Hill, L, Tsai, Stephanie B., O'CONNOR, TIMOTHY E., Sandhu, Karamjeet , Gordillo, Christian , Chen, Evan C., Lin, Chenyu, Kopmar, Noam E. , Majhail, Navneet S. , Lee, C F, Bobillo, Silvina Odstrcil, Park, Jae H, Valtis, Yannis K. , Solh, Melhem M, Guzowski, Caitlin, Vasu, Sumithira, Tan, Virginia, McCauley, Ross , Sasine, Joshua , Tang, Kevin, Kk, Miller, Sutherland, Katherine C. , Mohty, Razan , Jamy, Omer , Hoeg, Rasmus T., Logan, Aaron, Stock, Wendy A, Schwartz, Marc S., Byrd, Kenneth, Bachanova, Veronika, Tracy, Sean , Yaghmour, George , Gatell, Vivian Irizarry , Jackson, Clayton, Dholaria, Bhagirathbhai, O'Dwyer, Kristen M, Moore, Jozal , Aldoss, Ibrahim, Shah, B. D., Oliai, Caspian , Muffly, Lori, Grunwald, Michael R. , Kota, Vamsi , Bachanová, Veronika , Muffly, Lori , Hill, LaQuisa C. , Zhang, Amy , Connor, Matthew P. , Zhang, Amy , Grunwald, Michael , Connor, Matthew , Kota, Vamsi , Ulrickson, Matthew , Pradeep, Roshini , Hill, LaQuisa C , Advani, Anjali S , Reshef, Ran , Luskin, Marlise R , Chen, Evan , Lin, Chenyu , Cassaday, Ryan D , Kopmar, Noam E , Majhail, Navneet S , Battiwalla, Minoo , Strickland, Stephen Anthony , Lee, Catherine J , Odstrcil Bobillo, Silvina , Hilal, Talal , Faramand, Rawan , Leonard, Jessica T , Wang, Eunice S. , Sasine, Joshua , Sutherland, Katherine , Daunov, Michael , Jamy, Omer , Dykes, Kaitlyn C , Logan, Aaron C , Othman, Tamer , Stock, Wendy , Yalniz, Fevzi , Bachanova, Veronika , Irizarry Gatell, Vivian M , Oluwole, Olalekan O , Dholaria, Bhagirathbhai R , O'Dwyer, Kristin , Moore, Jozal , Roloff, Gregory W , Frey, Noelle V , Shah, Bijal , Oliai, Caspian H , Muffly, Lori , Gupta, Vishal , Ulrickson, Matthew L. , Tsai, Stephanie, Advani, Anjali S. , Reshef, Ran , Lin, Chenyu , Cassaday, Ryan D. , Battiwalla, Minoo , Bobillo, María Silvina Odstrcil , Hilal, Talal , Park, Jae H. , Faramand, Rawan , Solh, Melhem , Vasu, Sumithira , Daunov, Michael , Kumaran, Muthu Sendhil , Hoeg, Rasmus T. , Dykes, Kaitlyn C. , Othman, Tamer , Stock, Wendy , Byrd, Kenneth, Yalniz, Fevzi , Jackson, Clayton W., Oluwole, Olalekan O. , Dholaria, Bhagirathbhai , Roloff, Gregory W. , Frey, Noelle V. , Aldoss, Ibrahim

Mayo Clinic

Blood | February 5, 2026 | Volume: 147 | Issue: 17 | Pages: 2011-2017

10.1182/blood.2025031734 | PMID 41643192 Get It

Abstract In a real-world analysis of brexucabtagene autoleucel recipients with relapsed/refractory B-cell acute lymphoblastic leukemia (N = 278), lack of response to prior blinatumomab correlates with significantly worse following chimeric antigen receptor T-cell therapy outcomes.
Combined TCR-seq and single-cell RNA-seq reveal distinct origins for antiviral immunity after post-transplant cyclophosphamide and tac/MTX gvhd prophylaxis: Results from the BMT CTN 1801 study
Schmalz, Joseph , Winn, Nicholas, Kaminski, James J. , Sanders, Catherine , Robins, Harlan , Zavistaski, Jillian, Schichter, Isabella, Steinberg, Lea, Applegate, Kristy, Bar, Merav , Clark, William, Jones, Richard J. , Logan, Brent R. , Martens, Michael, Riches, Marcie , Saber, Wael , Sandhu, Karamjeet , Elmariah, Hany , Runaas, Lyndsey, Rezvani, Andrew R. , Loren, Alison W. , Horowitz, Mary M. , Hamadani, Mehdi, Bolaños‐Meade, Javier , Bhatt, Ami S. , Kean, Leslie S. , Elmariah, Hany , Larkin, Karilyn , Bhatt, Ami S , Siegel, Steven J. , DeWolf, Susan , Kaminski, James, Bien, Stephanie A. , Chhabra, Saurabh , Choi, Sung Won , Das, Suman R. , Jenq, Robert R. , Levine, John E. , Murthy, Hemant S. , Rashidi, Armin , Sung, Anthony D. , Malki, Monzr M. Al , Gooptu, Mahasweta , Alousi, Amin Majid , Shaffer, Brian C. , Jurdi, Najla El , Hamadani, Mehdi , Holtan, Shernan G. , Perales, Miguel‐Angel

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 818-818

10.1182/blood-2025-818 Get It

Abstract Background: A randomized multicenter trial (BMT CTN 1703) demonstrated that after reduced intensity conditioning HCT, PT-Cy-based GVHD prophylaxis led to significant reductions in acute and chronic GVHD, but was associated with significantly more Grade 2 (moderate) infections and similar overall survival vs Tac/MTX. A linked mechanistic study (BMT CTN 1801) found that PT-Cy led to pan-T cell depletion and reduced T cell receptor (TCR) repertoire diversity vs Tac/MTX. To discover the molecular mechanisms driving the association of PT-Cy with increased infections, we examined pathogen-specific T cell reconstitution in BMT CTN 1801 patients (n=165 PT-Cy, n=159 Tac/MTX). Methods: We performed deep TCR sequencing on 2,369 blood samples collected pre-HCT (recipient baseline) and on Days +7, 14, 28, 63, 100, 180, 270, 365, 730, and from the graft infusion product. We then applied a novel set of TCR classifiers (Adaptive Biotechnologies) capable of identifying pathogen-specific clones associated with CMV, EBV, SARS-CoV-2, HSV-1, HSV-2, parvovirus, RSV, influenza A, rhinovirus, adenovirus, HHV-6B, norovirus and Toxoplasma. Single-cell (sc) TCR/RNA-sequencing on a sample subset (n=26) was performed to determine the phenotype of pathogen-specific T cells. Results. By linking scRNA-seq with pathogen-specific TCR barcoding, we identified CD4 and CD8 memory T cells as their predominant T cell reservoir. We found that the total number of pathogen-specific singleton TCRs was significantly lower with PT-Cy, starting early post-HCT and persisting through 2 years. For example, at Day +14, PT-Cy patients had 7.8-fold fewer pathogen-specific singleton TCRs vs Tac/MTX (mean of 6.9 vs 54.1, p<0.001). Consistent differences between PT-Cy and Tac/MTX were observed for TCRs specific for each pathogen individually. Patients who developed Grade 3 (severe) viral infections had significantly fewer pathogen-specific singleton TCRs at Day +14 compared to those who had no viral infections (mean of 4.0 vs 32.5, p=0.03). Leveraging intrinsic TCR barcoding of the HCT infusion (“graft”) and of the patient's baseline samples (“recipient”), we could assign the graft/recipient origin of the pathogen-specific cells with high fidelity. This analysis revealed pronounced differences in the origin of pathogen-specific T cells with PT-Cy vs Tac/MTX, especially prior to Day +100. The absolute number of pathogen-specific TCRs originating from the graft was significantly higher with Tac/MTX vs PT-Cy. This difference was observed from day +7 through 6 months post-HCT, with up to 7.1-fold more graft-derived pathogen-specific TCRs in Tac/MTX vs PT-Cy (p<0.001 at each timepoint before day +100). Within patients who received Tac/MTX, the balance of graft vs recipient pathogen-specific clones significantly favored graft clones (for example, a mean of 14.9 graft vs 8.6 recipient pathogen-specific TCRs at Day+14, p=0.02). By contrast, with PT-Cy, in addition to having substantially fewer pathogen-specific TCRs overall, the proportion of these TCRs was not significantly different between graft and recipient clones (mean of 2.1 graft vs 3.3 recipient pathogen-specific TCRs at Day+14, p=0.42). These data uncover that, in addition to the reduction in pathogen-specific T cells with PT-Cy, there was a relative skewing of the anti-microbial T cell reservoir towards recipient cells that persisted after conditioning. Conclusions: PT-Cy led to in vivo T cell depletion across all T cell subsets, which prominently included clones tracked from the allograft itself into the HCT recipient, with a relative sparing of recipient T cell clones that survived transplant conditioning. While the mechanism for relative sparing of recipient cells has not yet been determined, these conditioning-exposed cells may be less proliferative than newly infused graft T cells. The depletion of graft T cells included CD4 and CD8 memory cells specific for infections, which may have contributed to relative deficits in protective immunity against infection in patients receiving PT-Cy. Importantly, these data suggest that with PT-Cy, persisting recipient TCRs may play a key role in preserving anti-infectious immunity. Taken together, these results provide a mechanistic basis for key post-transplant clinical outcomes of the landmark BMT CTN 1703 study. They also underscore the importance of recipient immune status with PT-Cy, creating the opportunity for targeted infection risk assessment in these patients.
Patient characteristics, toxicity, and response after real world administration of obecabtagene autoleucel and brexucabtagene autoleucel for relapsed acute lymphoblastic leukemia: A rocca analysis
Valtis, Yannis K. , Sandhu, Karamjeet , Zhang, Amy , Miller, Katharine, Oliai, Caspian , Lill, Georgia R. , Kopmar, Noam E. , Connor, Matthew P. , Solh, Melhem , Guzowski, Caitlin, Tan, Virginia, Jeyakumar, Nikeshan , Hoeg, Rasmus T. , Koura, Divya, Gatell, Vivian Irizarry , O'Dwyer, Kristen M., Moore, Jozal , Ulrickson, Matthew L. , Al-Darobi, Ali, Byrd, Ken, Tsai, Stephanie, O’Connor, Timothy E. , McCauley, Ross , Mohty, Razan , Sutherland, Katherine, Muffly, Lori , Frey, Noelle, Muffly, Lori , Faramand, Rawan , Hill, LaQuisa C. , Muhsen, Ibrahim N. , Othman, Tamer , Luskin, Marlise R , Chen, Evan , Oliai, Caspian H , Cassaday, Ryan D. , Logan, Aaron C , Hilal, Talal , Park, Jae H. , Leonard, Jessica T , Srinagesh, Hrishikesh K. , Kumaran, Muthu Sendhil , Dykes, Kaitlyn C. , Stock, Wendy , Jackson, Clayton, Oluwole, Olalekan O. , Dholaria, Bhagirathbhai , O'Dwyer, Kristin , Wang, Eunice S. , Jamy, Omer , Roloff, Gregory W. , Aldoss, Ibrahim , Shah, Bijal , Frey, Noelle

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2715-2715

10.1182/blood-2025-2715 Get It

Abstract Introduction Obecabtagene autoleucel (obe-cel) and brexucabtagene autoleucel (brexu-cel) are CD19 targeted chimeric antigen receptor T cell (CAR-T) therapies, approved for the treatment of adults with relapsed/refractory (r/r) B-cell acute lymphoblastic leukemia (ALL). Mechanistic differences between obe-cel and brexu-cel including differing costimulatory domains (4-1BB vs. CD28), CD19 binding domains (intermediate vs. high affinity) and split dose (Days 1 and 10) vs. single infusion may impact in-vivo cellular kinetics that translate into variant clinical outcomes. In pivotal trials, obe-cel resulted in lower rates of severe cytokine release syndrome (CRS) and immune effector cell associated neurotoxicity syndrome (ICANS) compared to brexu-cel with comparable efficacy (Roddie et al., NEJM 2025; Shah et al., Lancet 2021). Real-world utilization and outcomes with obe-cel are unknown given the relatively recent approval. Methods The ROCCA database, comprising real world data from patients (pts) with r/r ALL treated at 40 North American institutions was utilized in this analysis. Pts with r/r ALL were eligible if they were apheresed for obe-cel since its approval (11/8/2024) or brexu-cel over a comparable period (since 8/1/24) and had at least 30 days of follow up. Data cut off was 7/15/2025. CRS/ICANS were graded per ASTCT criteria. Measurable residual disease (MRD) was assessed by flow cytometry and/or next generation sequencing per institutional standards. Results 38 pts have undergone apheresis for obe-cel (36 infused, all received both infusions) and 54 (53 infused) for brexu-cel over the study period. Pts in the obe-cel and brexu-cel cohorts had the following baseline characteristics: median age, 47 vs. 39 years; ECOG 2+, 15% vs. 26%; Ph+ disease, 24% vs 13%; KMT2Ar, 0 vs. 4%; TP53m, 11% vs 11%, and hypodiploid karyotype, 5% vs 6%. The following prior treatment patterns were observed: median lines of therapy before CAR-T 3 vs. 3; prior SCT 24% vs. 30%, prior blinatumomab 68% vs. 46%, prior inotuzumab 45% vs. 30%. At apheresis, active disease (>5% bone marrow blasts) was present in 47% vs. 55% of obe-cel and brexu-cel pts, respectively; the remainder were in CR (with 18% vs. 22% in MRD- CR, respectively). Among obe-cel (n= 35 [92% of cohort]) and brexu-cel (21 [38% of cohort] pts with disease re-assessment prior to lymphodepletion (LD), 31% vs. 43% had active BM disease, respectively; few pts (24% vs. 17%) had >20% marrow disease burden prior to LD. CAR-mediated toxicity differed significantly between the cohorts. CRS occurred in 56% of obe-cel pts compared to 94% of brexu-cel pts (p < 0.0001). There were no Gr3+ CRS events among the obe-cel pts; 3 (6%) brexu-cel pts had Gr3+ CRS (p = 0.27). ICANS occurred in 17% of obe-cel pts vs. 51% of brexu-cel pts (p = 0.001). Gr3+ ICANS occurred in 6% of obe-cel vs. 32% of brexu-cel pts (p = 0.0027). Among the obe-cel pts, CRS occurred in 31% after the first infusion and 46% after the second; ICANS occurred in 3% after the first infusion and 15% after the second. Prolonged Gr4 neutropenia (ANC < 500 cells/uL beyond day 30 from infusion) occurred in 24% of obe-cel vs. 28% of brexu-cel pts (p = 0.73). Deaths within the first 28 days of infusion occurred in 0 obe-cel pts and 4 brexu-cel pts (2 of infection, 1 of infection/brain bleed, and 1 of liver failure in the setting of Gr4 CRS and HLH). Response rates were high and did not significantly differ between cohorts (p = 0.85). Among the 31 obe-cel pts with available response data, 25 (81%) achieved an MRD- CR/CRi, 3 (10%) had an MRD+ CR/CRi, 2 (6%) had a CR/CRi with unknown MRD, and 1 (3%) did not respond. Among 41 brexu-cel pts with available response data, 33 (80%) had an MRD- CR/CRi, 4 (10%) an MRD+ CR/CRi, and 4 (10%) CR/CRi with unknown MRD. Conclusion Pts selected for obe-cel apheresis were similar to those for brexu-cel over the study period (noting that not all centers had access to obe-cel during this time). Similar to clinical trial results, obe-cel was associated with lower rates of CRS/ICANS. Rates of MRD-negative CR were high and did not differ between cohorts. A larger sample and longer follow up are required for further analyses; we anticipate a cohort of ~75 obe-cel treated pts by the annual meeting and will provide updated data.
Pre- or post-CAR-T allogeneic hematopoietic cell transplant provides relapse-free survival benefit for R/R Philadelphia negative B-cell acute lymphoblastic leukemia (B-ALL) successfully treated with brexucabtagene autoleucel in the real world
Zhang, Amy , Miller, Katharine, Sutherland, Katherine, Jeyakumar, Nikeshan , Boccucci, Jacob , Ulrickson, Matthew L. , Al-Darobi, Ali, Sandhu, Karamjeet , Kopmar, Noam E. , Solh, Melhem , Bobillo, Silvina Odstrcil, Tsai, Stephanie, O’Connor, Timothy E. , Valtis, Yannis K. , Vasu, Sumithira, Tan, Virginia, O'Dwyer, Kristen M., Moore, Jozal , McCauley, Ross , Mountjoy, Luke , Ramakrishnan, Aravind , Malik, Shahbaz A. , Shaughnessy, Paul , Mohty, Razan , Hoeg, Rasmus T. , Oliai, Caspian , Lill, Georgia R. , Schwartz, Marc S. , Koura, Divya, Byrd, Ken, Tracy, Sean , Grover, Punita , Frey, Noelle, Connor, Matthew P. , Yaghmour, George , Gatell, Vivian Irizarry , Muffly, Lori , Muffly, Lori , Logan, Aaron C , Yalniz, Fevzi , Srinagesh, Hrishikesh K. , Grunwald, Michael R. , Kota, Vamsi , Sasine, Joshua , Hill, LaQuisa C. , Muhsen, Ibrahim N. , Advani, Anjali S. , Aldoss, Ibrahim , Othman, Tamer , Reshef, Ran , Luskin, Marlise R , Chen, Evan , Lin, Chenyu , Cassaday, Ryan D. , Lee, Catherine J , Bobillo, Silvina Odstrcil, Tsai, Stephanie, Hilal, Talal , Park, Jae H. , Vasu, Sumithira , Bezerra, Evandro D. , Wang, Eunice S. , Leonard, Jessica T , O'Dwyer, Kristin , Majhail, Navneet S. , Battiwalla, Minoo , Mathews, John Abraham , Jamy, Omer , Kumaran, Muthu Sendhil , Stock, Wendy , Roloff, Gregory W. , Oliai, Caspian H , Schwartz, Marc, Dykes, Kaitlyn C. , Daunov, Michael , Bachanová, Veronika , Frey, Noelle, Jackson, Clayton, Oluwole, Olalekan O. , Dholaria, Bhagirathbhai , Faramand, Rawan

Mayo Clinic

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 516-516

10.1182/blood-2025-516 Get It

Abstract Introduction: Brexucabtagene autoleucel (Brexu-cel) is a CD19-targeted chimeric antigen receptor (CAR-)T cell therapy approved for treatment of relapsed/refractory (r/r) B-ALL. Brexu-cel's approval was founded on data from the ZUMA-3 trial, in which 78 patients (pts) were treated at the pivotal dose of 1x10e6 CAR-T cells/kg, resulting in a complete remission (CR) rate of 73%. Three-year follow-up from ZUMA-3 demonstrated median relapse-free and overall survival (RFS/OS) of 11.6 and 25.6 months (mos) for all treated pts. Amongst responders, the median OS was 60.4 mos for those who did not receive a subsequent allogeneic hematopoietic cell transplant (HCT) (n=43), but only 36.3 months for those who did (n=14). This has led some to conclude that HCT may not be beneficial following brexu-cel therapy for r/r B-ALL; however, it must be noted that 29 (37%) of the pts treated on ZUMA-3 received brexu-cel for post-HCT relapse. T cells collected from individuals who relapse in the post-HCT setting are largely of donor origin, making the CAR-T product comparable to a genetically modified donor lymphocyte infusion (DLI). The immunology at play in this scenario may be different from that in which CAR-T cells are of truly autologous origin. Methods: The Real-World Outcomes Collaborative for CAR-T in ALL (ROCCA) consortium database includes pt characteristics and outcomes of brexu-cel therapy given as standard-of-care across 41 US institutions. We identified pts who achieved an MRD negative (neg) CR by either flow cytometry (minimum sensitivity 10e-4) or NGS following brexu-cel for r/r Ph neg B-ALL and categorized them into three groups with regard to use of HCT: Never HCT, Pre-CAR HCT, or Post-CAR HCT. Pts who received second HCT following brexu-cel for post-HCT relapse (n=9) were excluded. Pt/disease characteristics, RFS, and OS were assessed for each group, landmarked at 73 days after brexu-cel infusion (the median time to consolidative allogeneic HCT). Results: In the ROCCA database we identified 165 pts who achieved MRD neg CR following brexu-cel, amongst whom 69 never underwent HCT, 49 were transplanted pre-CAR (ie, brexu-cel served as a genetically modified DLI), and 47 underwent post-CAR consolidative HCT while in CR. The median follow-up is 373 days. The median age was higher in the Never HCT group (49, range 19-83) in comparison with the Pre-CAR HCT (40, 24-72) and Post-CAR HCT (34, 18-70) groups. Thirty-five percent were >60yo in the Never HCT group vs 20% in the Pre-CAR HCT and 9% in the Post-CAR HCT groups. Ph-like disease was present in 38%, 29%, and 43% of the Never HCT, Pre-CAR HCT, and Post-CAR HCT groups, respectively (p=0.35). No significant differences were observed in pre-apheresis bone marrow blasts, presence of CNS disease at apheresis, prior blinatumomab or inotuzumab treatment, or use of bridging therapy across the groups, though there was a higher prevalence of non-CNS extramedullary disease in the Pre- and Post-CAR HCT groups (32, 39%) vs the Never HCT group (13%) (p=0.004). A minority of pts in all groups were deemed to be in MRD neg CR prior to apheresis (6-20%). Median RFS was 260 days in the Never HCT group and not reached in the Pre- and Post-CAR HCT groups (p=0.002), with respective 1-yr RFS of 38%, 64%, and 67%. Median OS was not reached in any group and was similar for all at 1-yr at 68-79% (p=0.13). Characteristics of those in the Never HCT group who were least likely to relapse included age >60 (OR 0.22, CI 0.07-0.73 vs age 18-39, p=0.024) and those with non-Ph-like B-ALL (OR 0.33, CI 0.12-0.94, vs Ph-like, p=0.037) in univariate analyses. Conclusions: Real-world data regarding outcomes following brexu-cel therapy allow evaluation of the role for consolidative allogeneic HCT, which remains one of the most important unresolved questions in the use of CAR-T therapy for r/r B-ALL. This analysis demonstrates that a first consolidative HCT after achieving MRD neg CR with brexu-cel is associated with a significant decrease in relapse. Additionally, use of brexu-cel for post-HCT relapse is also associated with a significantly lower risk of relapse compared with those who never received an allogeneic HCT. With the current duration of followup, OS is not significantly different across the three groups. These data suggest there is a benefit for relapse-free survival in pts receiving an allogeneic HCT at some point in the course of treatment for r/r Ph neg B-ALL.
Secondary graft failure after PT-cy: Modeling a candidate risk assignment biomarker based on lymphocyte reconstitution.  Results from the BMT CTN 1801 study.
Omdahl, Kayleigh Ingersoll , Hebert, Kyle, Schichter, Isabella, Cagnin, Lorenzo , Applegate, Kristy, Bar, Merav , Clark, William , Jones, Richard J. , Logan, Brent R. , Riches, Marcie , Saber, Wael , Sandhu, Karamjeet , Elmariah, Hany , Alousi, Amin, Runaas, Lyndsey, Shaffer, Brian C., Rezvani, Andrew R. , Loren, Alison W. , Horowitz, Mary M. , Bolaños‐Meade, Javier , Bhatt, Ami S. , Kean, Leslie S. , Elmariah, Hany , Larkin, Karilyn , Bhatt, Ami S , Siegel, Steven J. , Dong, Jiayi , DeWolf, Susan , Neuberg, Donna , Albanese, Alexandre , Keskula, Paula , Chhabra, Saurabh , Choi, Sung Won , Clark, William, Das, Suman R. , Jenq, Robert R. , Levine, John E. , Martens, Michael J. , Murthy, Hemant S. , Rashidi, Armin , Sung, Anthony D. , Malki, Monzr M. Al , Gooptu, Mahasweta , Alousi, Amin Majid , Jurdi, Najla El , Holtan, Shernan G. , Perales, Miguel‐Angel

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4198-4198

10.1182/blood-2025-4198 Get It

Abstract Introduction: Graft Failure (GF) is a rare but devastating outcome of HCT. Primary GF (PGF), defined as a failure of neutrophil recovery by Day+28, is straightforward to diagnose. Diagnosing secondary GF (SGF) is more challenging, with its broad time-range, multiple confounding diagnoses, and lack of predictive biomarkers. In BMT CTN1703/1801, we analyzed patients receiving RIC HCT for heme malignancies with either Tac/MTX (n=159) or PT-Cy (n=165) GVHD prophylaxis. SGF was defined as donor chimerism <5% after initial donor engraftment. With Tac/MTX, there were 3 PGF and 1 SGF diagnoses. With PT-Cy, there were 4 PGF and 6 SGF. Median SGF diagnosis was Day +64 (range: Day+28-215). There were too few Tac/MTX patients to analyze SGF, but sufficient events with PT-Cy. To identify PT-Cy SGF predictors, we leveraged lymphocyte, T, B, and NK cell reconstitution analysis. In SGF we found an early, profound deficit in the reconstitution of all major lymphocyte populations, including total lymphocytes, T, B, and NK cells, as early as Day+28. This enabled the modeling of a SGF risk classifier based on the Absolute Lymphocyte Count (ALC). Methods: Clinical ALC measurements were performed on all SGF patients (n=6) and on non-GF controls with ALCs available (146 of 155 non-GF patients). Flow cytometry was performed on all PT-Cy SGF patients (n = 6) and from a subset of non-GF controls (n = 18: controls were chosen as patients without relapse or severe GVHD, to reduce confounders introduced by immunologic interventions, and for whom all samples, including from the graft infusion, were available). T, B, and NK counts, as well as T cell subsets, were compared (using Welch's T test) on Days 7, 14, 21, 28, 42, 63, 98, 180, 270, 365, 730, with SGF patients censored on the day of GF diagnosis. To interrogate the optimal ALC cutoff, the cumulative incidence of SGF was computed at Days +28 and +42, with death without GF as a competing risk. Results: We have previously demonstrated that, compared to Tac/MTX, PT-Cy patients exhibited an early decrease in reconstitution of all T cell populations (with normal NK and B cell reconstitution). Here we focused specifically on PT-Cy patients with or without SGF. Graft CD34 counts/kg were not different between SGF patients and non-GF patients (mean CD34/kg = 1.38 x10e6 (SGF) vs 0.67 x10e6 (non-GF, p = 0.61) However, even amidst the overarching early suppression in T cell reconstitution with PT-Cy, SGF patients could be easily distinguished from the larger PT-Cy cohort, based on more profound deficits in ALC, T, B and NK cells reconstitution, measured using 2 strategies: (1) SGF patients demonstrated significant early (Day +28) quantitative defects in the reconstitution of the ALC (mean +/- SEM 262+/-32 cells/µL (non-GF) vs 60 +/- 25 (SGF, p<0.0001), CD4 T cells (62 +/- 12 cells/µL vs 19+/-15, p=0.048), CD8 T cells (15 +/-3 cells/µL vs 3.5 +/-1 p=0.0009), all CD8 T cell subpopulations, as well as NK cells (116+/-31 cells/µL vs 2.9+/-1.4 cells/µL, p= 0.002) and B cells (3.5 +/-1.4 cells/µL vs 0.16+/-0.07 p =0.03). (2) In SGF, there was a significant deficit in the rate of rise of all major lymphocyte populations between Days 28-42-60 vs non-GF, including CD4 T cells (p<0.0001), CD8 T cells (p = 0.0002), B cells (p<0.0001), and NK cells (p =0.048). These discoveries suggested that a classifier could be identified to risk-stratify patients for SGF. We explored an ALC cutpoint, amenable to standard clinical lab analysis. A statistically significant threshold was identified at both Days+28 and +42, with Day+42 being most predictive: A threshold of 120 cells/µL was identified as optimal, with landmark analysis documenting a SGF rate of 34.7% below the cutpoint, and SGF of 1% above it (HR = 45.9, 95% CI 5.7 - 366). Conclusions: Despite the small number of events, PT-Cy patients with SGF demonstrated a distinctive reconstitution trajectory that encompassed an early, substantial, and sustained deficit in all lymphocyte counts, as well as a lack of their longitudinal expansion. This enabled the discovery of a candidate ALC biomarker cutpoint at Day+42 that could distinguish patients who were more likely to develop SGF. If confirmed, these data could generate a predictive biomarker for SGF, which would enable the design of trials evaluating early interventions (e.g. CD34+ boosts, DLI, modification of immunosuppression) to improve outcomes for these patients.
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

Mayo Clinic

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

Mayo Clinic

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.
Serial Clinical and Biomarker Monitoring during Treatment Can Stratify Patients with Low Risk Gvhd
Spyrou, Nikolaos , Weber, Daniela , Vášová, Ingrid, Ayuk, Francis, Choe, Hannah , DeFilipp, Zachariah , Etra, Aaron , Sandhu, Karamjeet , Olson, Timothy S. , Schechter‐Finkelstein, Tal, Chanswangphuwana, Chantiya , Baez, Janna , Eng, Gilbert, Beheshti, Rahnuma, Kowalyk, Steven, Morales, George , Louloudis, Ioannis, Young, Rachel , Holler, Ernst , Nakamura, Ryotaro , Ferrara, James L.M. , Katsivelos, Nikolaos , Hogan, William J. , Qayed, Muna , Kraus, Sabrina , Hexner, Elizabeth O. , Aguayo‐Hiraldo, Paibel , Reshef, Ran , Ullrich, Evelyn , Kitko, Carrie L. , Merli, Pietro , Akahoshi, Yu , Levine, John E.

Mayo Clinic

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 380-380

10.1182/blood-2024-204010 Get It

Background: The majority of patients respond to steroid treatment for graft-vs-host disease (GVHD), but the typically high doses and prolonged courses can cause substantial morbidity. GVHD can be classified at onset into two groups with significant differences in treatment response and non-relapse mortality (NRM) by clinical criteria (Minnesota risk) but the more favorable standard risk group still experiences high rates of treatment failure and NRM [MacMillan, BBMT 2015]. We previously validated a serum biomarker-based (ST2+REG3α) risk stratification system, MAGIC algorithm probabilities (MAPs), that can stratify patients both at initiation and during treatment into risk groups for treatment response and NRM [Hartwell, JCI Insight 2017, Srinagesh, Blood Adv 2019]. GVHD that is Minnesota standard risk and has a low MAP (i.e., Ann Arbor 1) at start of treatment represents a low risk group with >80% response rate to steroids and ~10% NRM [Etra, Blood 2023]. We hypothesized that serial monitoring of GVHD symptom severity and MAPs twice (days (d) 7 and 14) in patients with clinical and biomarker defined low risk GVHD could further stratify patients into clinically meaningful groups. Methods: We retrospectively determined MAPs at d7 and 14 in 450 patients with low risk GVHD who participated in a prospective, multi-center, observational trial and were treated with systemic steroids between 2015-2023. MAPs <0.291 at days 7 and 14 were defined as low risk based on a previously validated threshold [Major-Monfried Blood 2018]. Clinical responses were scored as complete (CR), partial (PR), or non-response (NR) by standard criteria. Initiation of second line therapy was considered NR. Patients were categorized into three groups (A-C) based on clinical responses and MAPs at days d7 and 14. A: CR/PR by d14 and low MAP at both d7+14; B: stable or worse GVHD (NR) by d14 with low MAP at both d7 and 14; C: any response with a high MAP at d7 or 14. The endpoints were clinical response at day 28 (overall response rate, ORR=CR or PR), regardless of earlier response status, and 6-month NRM. Results: The median age of the study population was 54 years (range: 0-79); 19% of patients received PT-Cy for GVHD prophylaxis. Target organ involvement was skin ± upper GI (66%), lower GI (23%), isolated UGI (11%), and skin+liver (1%), and GVHD severity was grade I (35%), II (61%), and III (4%) at start of treatment. Patients in group A (n=310, 69%), clinical responders with low MAPs through day 14, had excellent d28 ORR (93%) and very low NRM (4%). GVHD in this group was considered ultra-low risk (ULR) and subset analyses revealed highly consistent d28 ORR and NRM, regardless of target organ severity, age (<18, 18-59, >60), HCT-CI score, conditioning intensity, and GVHD prophylaxis. Group B patients comprised clinical non-responders with low MAPs through day 14 (n=112, 25%); half of them responded by d28 and their NRM was low (8%), albeit double that of group A (p=0.079). Group C was small (n=28, 6%) and included both clinical responders (n=20, 4%) and clinical non-responders (n=8, 2%) who had at least one high MAP through day 14. Their d28 ORR was 54% but NRM increased four-fold (32%) and was significantly worse than patients who maintained low MAPs regardless of clinical response (p<0.001). Conclusion: Serial monitoring by clinical response and biomarkers during the first two weeks of treatment identifies a small number of high risk patients whose GVHD is initially low risk (group C). This group experiences high NRM regardless of clinical response to steroid treatment and may benefit from treatment escalation. Patients with low risk GVHD who do not have an early clinical response to steroids but maintain low MAPs, (group B) have reasonably good long-term outcomes with standard treatment. Finally, serial monitoring identifies a very large subset of patients with ULR GVHD (group A) who respond exceptionally well to standard treatment and experience very low rates of 6-month NRM regardless of pre-transplant characteristics and GVHD prophylaxis. Such patients may benefit from treatment de-escalation strategies such as shorter courses of lower dose steroids, a strategy we are currently testing in a clinical trial (NCT05090384).
Obecabtagene Autoleucel (obe-cel, AUTO1) for Relapsed/Refractory Adult B-cell Acute Lymphoblastic Leukemia (R/R B-ALL): Pooled Analysis of the Ongoing FELIX Phase Ib/II Study
Sandhu, Karamjeet , Tholouli, Eleni , Shaughnessy, Paul , Bishop, Michael, Yallop, Deborah , Pantin, Jeremy , Arellano, Martha , Chaganti, Sridhar , Malladi, Ram , Menne, Tobias , Gómez, Virginia Escamilla , Hodby, Katharine , Gundabolu, Krishna , Mountjoy, Luke , O’Dwyer, Kristen M. , Abedin, Sameem , Lao‐Sirieix, Pierre , Pittari, Gianfranco, Zhang, Yiyun , Brugger, Wolfram, Pulé, Martin , Park, Jae H. , Abedin, Sameem , Roddie, Claire , Barba, Pere , Guerreiro, Manuel , Yared, Jean A. , Ghobadi, Armin , Logan, Aaron C , Beitinjaneh, Amer , O'Dwyer, Kristin , Alkhateeb, Hassan B. , Shah, Bijal , Saxena, Kapil , DeAngelo, Daniel J. , Jabbour, Elias

Mayo Clinic

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 222-222

10.1182/blood-2023-179454 Get It

Background: Obe-cel is an autologous chimeric antigen receptor (CAR) T cell product with a novel CD19 binding domain CAT conferring a fast antigen off-rate designed to mitigate safety concerns and improve persistence over approved CD19 CAR T therapies. Early results from the pivotal FELIX study Phase IIA cohort (N=94) were recently presented (Roddie C et al. J Clin Oncol 2023;41[16 Suppl]:7000). We report findings from a pooled analysis of all patients (pts) treated to date with obe-cel in the FELIX Phase Ib/II study (NCT04404660), with a focus on pts with low leukemia burden prior to obe-cel infusion. Methods: The FELIX study enrolled adults with R/R B-ALL at screening with either morphological disease ≥5% bone marrow (BM) blasts (Cohort A), or in ≥2 nd complete remission (CR)/CR with incomplete hematologic recovery (CRi) with measurable residual disease (MRD) (Cohort B), or with isolated extramedullary disease (EMD) (Cohort C). The Phase Ib part of the study enrolled Cohorts A and B; the Phase II part enrolled Cohorts A, B, and C. CAR T products were generated from leukapheresis material using an automated process. Pts received bridging therapy as needed and lymphodepletion with fludarabine (4 × 30mg/m 2) and cyclophosphamide (2 × 500mg/m 2). A target dose of 410 × 10 6 CAR T cells was infused as a split dose on Days 1 and 10 based on pre-lymphodepletion BM blast burden. The primary endpoint was overall remission rate (best response of CR/CRi by independent review). Secondary endpoints included duration of remission (DoR), MRD negative remission rate, safety, and CAR T expansion/persistence. This pooled analysis included data from pts treated with obe-cel across all cohorts in the Phase Ib/II parts of the study. Low leukemia burden was defined as morphological remission per investigator assessment (<5% BM blasts without EMD) as measured at screening or at the start of lymphodepletion. Results: Between September 2020 and December 2022, 152 pts were enrolled and underwent leukapheresis. As of 16 March 2023, obe-cel was successfully administered to 126/152 (83%) pts (Phase Ib: Cohort A n=13, B n=3; Phase II: Cohort A n=94, B n=9, C n=7). Baseline characteristics at screening (n=126): median age 46.5 (range 20-81) yrs; Philadelphia positive B-ALL 27%; median 2 (range 1-6) prior lines of therapy; prior blinatumomab/inotuzumab 42%/32%; median BM blast burden 37% (range 0-100) including 23% pts with EMD; prior allogeneic stem cell transplant 44%. At a median follow up of 11.0 (range 0.9-30.6) months, the CR/CRi rate was 77% (95/124 response evaluable pts) with CR rate 57% (71/124). Among MRD evaluable responders, 96% achieved MRD negative status by central flow cytometry analysis. Median DoR was not reached at the current follow up. Low rates of Grade (Gr) ≥3 cytokine release syndrome (CRS; 2.4%) and/or Gr ≥3 immune effector cell associated neurotoxicity syndrome (ICANS; 7.1%) were observed. CAR T expansion was similar across the Phase Ib/II cohorts and CAR T persistence was ongoing in the majority of responders at the current follow up. Preliminary data indicate favorable efficacy and safety in pts with low leukemia burden prior to obe-cel infusion. Among 12 pts with MRD at screening (Cohort B), two pts were not evaluable and 9/10 evaluable pts achieved CR/CRi, with 100% achieving MRD negative status by central flow cytometry analysis post obe-cel. Median DoR was not reached at the current follow up. In this subset, no Gr ≥3 CRS was observed; one pt had Gr ≥3 ICANS. In a subset of 28 pts (across all cohorts) in morphological remission at the time of lymphodepletion, 24/27 (89%) response evaluable pts achieved CR/CRi and 100% of MRD evaluable responders achieved MRD negative CR/CRi by central flow cytometry analysis post obe-cel. Median DoR was not reached at the current follow up. In this subset, no pts experienced Gr ≥3 CRS/ICANS. Conclusions:This pooled analysis of data from all pts treated to date in the FELIX study demonstrates high rates of CR/CRi after obe-cel treatment, durable responses (median DoR not reached), and a favorable safety profile. Preliminary data suggest better outcomes in pts with low leukemia burden at screening/lymphodepletion, with higher rates of deep MRD negative complete remission, median DoR not reached at the current follow up, no Gr ≥3 CRS and one Gr ≥3 ICANS. These data support further exploration of CAR T therapy earlier in the treatment algorithm for adults with ALL.