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3480 citation(s) found for "Wu, Sarah Y".

Outcomes of stem cell boost (SCB) versus supportive care alone for prolonged cytopenias after chimeric antigen receptor T cell therapy (CAR-T) in relapsed/refractory multiple myeloma (RRMM): A muli-center real-world analysis
Varga, Cindy , Robinson, Myra, Davis, James A. , Hashmi, Hamza , Martin, Thomas N., Kumar, Anupama, Sborov, Douglas W. , Shune, Leyla , Bhurtel, Jenny , Afrough, Aimaz , Dhakal, Binod , Forsberg, Peter A. , Purvey, Sneha , Khouri, Jack , Lin, Yi , Sidana, Surbhi , Midha, Shonali , Haider, Asad , Patel, Krina K. , Ferreri, Christopher J. , Sidana, Surbhi , Davis, James A , Robinson, Myra M , Martin, Thomas, Wagner, Charlotte B , Hansen, Doris K. , Puglianini, Omar Castañeda , Anderson, Larry D. , Dhakal, Binod , Herr, Megan M. , Richard, Shambavi , Lieberman-Cribbin, Alex , Sherbenou, Daniel W , Kocoglu, Mehmet H.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1035-1035

10.1182/blood-2025-1035 Get It

Abstract Background: Prolonged cytopenias are a well-recognized complication following CAR-T therapy, leading to increased morbidity and healthcare utilization. Autologous SCB offers a potential strategy to promote hematologic recovery. We conducted a retrospective multi-institutional analysis across 18 centers comparing outcomes of SCB versus supportive care alone in RRMM patients who experienced prolonged cytopenias >30 days after CAR-T infusion. Methods: Patients were included if they received SCB within 1 year after commercial CAR-T between 6/2021 and 3/2024. To identify matched controls, we reviewed other CAR-T recipients from the same consortium and selected those with an absolute neutrophil count (ANC) of <0.72x109/L and platelet count of <21K at day 30 post-infusion-thresholds representing the 75th percentile of cytopenia severity in the SCB cohort. These criteria ensured control patients had comparable hematologic toxicity but without SCB. Hematologic recovery in the SCB cohort was assessed using the CIBMTR engraftment criteria. For the non-SCB (nSCB) group, cell counts were analyzed cross-sectionally at day 90 post-CAR-T and compared to the SCB cohort with Kruskal Wallis tests. Progression-free survival (PFS) and overall survival (OS) were evaluated using Kaplan Meier methods. Results: Of the 590 CAR-T recipients, 91 patients (15.4%) developed prolonged cytopenias; 39 patients received SCB and 52 did not. SCB patients more frequently had ISS stage III disease (23.1% vs. 11.5%), exrtamedullary disease (59% vs. 46.2%) and penta-refractory status (43.6% vs. 34.6%). The median number of prior lines of therapy was 6 in both cohorts. Thirteen patients (33.3%) in the SCB and 11 (21.2%) in the nSCB received high intensity infusional chemotherapy (DCEP/PACE/HyperCVAD). Pre-CAR-T cytopenias tended to be less frequent in the SCB vs. nSCB cohort: ANC <1000 in 5.1% vs. 13.5%, Hgb <8 in 23.1% vs. 21.2%, and platelets <50K in 28.2% vs. 40.4%. Median plasmacytosis in the bone marrow prior to CAR-T in the SCB group was 35% and 47.5% in the nSCB group. In the SCB cohort, 2 patients harbored DNMT3A mutations, one of whom had CCUS. Ide-cel was administered in 64.8% and cilta-cel in 35.2% of all patients. The rates and grades of cytokine release syndrome did not differ between groups. Six patients (15.4%) had HLH in the SCB group vs. none in the control group. All (100%) SCB patients received growth factor support; 58% also received TPO agonists. In the nSCB group, 43 patients (82.7%) received growth factor, and 16 patients (30.8%) received TPO agonists. Out of 24 pre-SCB bone marrow biopsies available, only 1 patient had relapsed MM while the remainder had hypocellular marrows. Median CD34+ cell dose was 2.93 million/kg (range: 1.76-23.55) administered at a median of 53 days post-CAR-T (range 24-265). All but one patient (97.4%) in the SCB group achieved hematologic recovery; median time to recovery was 24 days (range 9-87). No new toxicities attributable to SCB were observed. On day 90 post CAR-T infusion, SCB patients had higher median ANC (2.12 vs. 1.59x109/L, p=0.277), Hgb (10.6 vs. 8.7g/dL, p=0.002), and platelet counts (135 vs. 35K/L (p<0.001). Minimal residual disease negativity was achieved in 82.4% (SCB) vs. 83.3% (nSCB). Infections occured in 53.8% and 48.1% of SCB and nSCB cohorts. All serious infections occurred prior to SCB. There were 12 deaths in the SCB group (7 from disease progression, 2 from infection, 1 from neurotoxicity (NT), and 1 unknown) and 27 in the nSCB group (22 from progression, 3 from infection, 1 from HLH, 1 from NT). After a median follow-up period of 12.6 months in the SCB cohort and 11.6 months in the nSCB arm, the mPFS was 11.0 months and 8.2 months, respectively. The mPFS was 10.6 months (SCB) and 5.8 months (nSCB) (p=0.216), and 11.0 months (SCB) and 10.9 months (nSCB), for ide-cel and cilta-cel treated-patients, respectively. Median OS was not reached vs.12.3 months in the SCB vs. nSCB groups, respectively. Conclusion: Overall, SCB was safe and effective in promoting rapid hematologic recovery in nearly all patients. Compared to controls, SCB recipeints had significantly higher Hgb and platelet levels by day 90 post-CAR-T infusion. SCB was associated wih a near doubling of PFS in patients who received ide-cel, though interpretation is limited by non-randomized design and small sample size. Further study is needed to optimize paient selection, timing, and integration of SCB into CAR-T care.
Robust HbF induction and improvement of anemia and hemolysis with base editing in sickle cell disease: Safety and efficacy findings from the ongoing BEACON study
Sharma, Akshay , Frangoul, Haydar , Mapara, Markus Y. , Dalal, Jignesh , Alavi, Asif, Jaroscak, Jennifer, Ayala, Ernesto , Ziga, Edward, Rifkin-Zenenberg, Stacey , Ambati, Srikanth, Chen, Yinzhong , Chesler, Sarah, Joseney-Antoine, Marcelyne, Ianniello, Leanne, Habtemariam, Bahru, Lin, Ling , Goyal, Sunita , Simon, Amy, Gupta, Ashish V , Kanter, Julie , DiPersio, John F. , Eapen, Mary , Chockalingam, Priya , Goyal, Sunita, Thompson, Alexis A. , Heeney, Matthew M.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2532-2532

10.1182/blood-2025-2532 Get It

Abstract Introduction Elevated levels of fetal hemoglobin (HbF) ameliorate sickle cell disease (SCD) manifestations. BEAM-101 is an investigational cell therapy comprising ex vivo base-edited autologous CD34+ hematopoietic stem and progenitor cells (HSPCs) that directly target the HBG1/2 promoters to disrupt BCL11A binding, switching production from sickle (HbS) to majority anti-sickling HbF. We present ongoing data from the BEACON study (NCT05456880), a Phase 1/2, single-arm, open-label study evaluating a single dose of BEAM-101 in individuals with SCD and severe vaso-occlusive crises (sVOCs). Methods Eligible patients were aged 12–35 years with SCD and ≥4 sVOCs in the 2-year period prior to informed consent. After mobilization with weight-based or tiered fixed-dose plerixafor, autologous CD34+ HSPCs were collected by leukapheresis and genetically modified with an adenine base editor. Following conditioning with pharmacokinetically adjusted myeloablative busulfan (target cumulative AUC 80 hr*mg/L), patients received a single dose of BEAM-101 (≥3.0×106 viable CD34+ cells/kg). Patients were then monitored for neutrophil and platelet engraftment, adverse events (AEs), total Hb, Hb fractions, % F-cells, hemolysis markers, sVOCs, and additional protocol endpoints for up to 24 months. Results As of June 16, 2025, enrollment has been completed and 46 patients have initiated mobilization. Of the 26 patients who have received BEAM-101, mean duration of follow-up was 6.2 (range 1.0–18.7) months. Baseline demographics were: age 18–34 years, 24 βS/βS genotype, 21 self-reported Black/African American, and 11 female. One patient, who successfully engrafted and obtained stable HbF levels >60%, withdrew consent 5 months post-infusion. For the 26 treated patients, the median number of stem cell collection cycles was 1 (range 1–4); 18 (69.2%) required a single cycle, 4 required 2 cycles, and 4 required >2 cycles. Target cell dose was achieved with a median of 3 (1–12) collection days. Patients received a mean BEAM-101 dose of 8.4 (range 3.2–23.4) ×106 viable CD34+ cells/kg. By the data cut, patients achieved neutrophil (n=26) and platelet (n=24) engraftment at a median of 18 (12–30) days and 19 (11–50) days, respectively, with a median duration of 7 (4–17) days of neutropenia. Of the 24 evaluable patients, 9 (37.5%) achieved platelet engraftment without requiring platelet transfusion through the transplant process. No patients had ≥Grade 3 AEs or serious AEs related to BEAM-101. One patient died due to respiratory failure, assessed as likely related to busulfan conditioning, 4 months post-infusion as previously reported. Mean total Hb increased to 12.1 (range 9.0–14.7) g/dL by Month (M) 1 (n=24), 15.6 (11.9–18.6) g/dL by M6 (n=11), and was sustained through follow-up. Four patients had total Hb levels above the normal range beyond M6 without any associated clinical manifestations or need for therapeutic intervention. Erythropoietin levels trended towards normal in all patients, including those with elevated total Hb. Mean endogenous HbF (HbF/[HbF+HbS]) was >60% and HbS was <40% by M1, which was sustained through last follow-up. At M6, mean % F-cells were 99.2% (97.0–99.9; n=10) and mean HbF/F-cell was 20.8 (18.0–23.9; n=9) pg, exceeding the protective threshold of 10 pg against sickling. Peripheral blood editing was at a mean of 68.5% by M3 (n=16), 69.6% by M6 (n=10), and 72.8% by M12 (n=5). Hemolysis markers and sickling parameters normalized or improved for all patients. No patients experienced any investigator-reported sVOCs post-engraftment. Conclusions The BEAM-101 treatment process is characterized by a low number of mobilization and collection cycles and high editing efficiency, resulting in rapid neutrophil and platelet engraftment and robust pancellular HbF expression, with durability observed up to 18 months. Additionally, there is a corresponding reduction in HbS levels to <40%, and improvements or resolution of hemolysis parameters and anemia, along with resolution of investigator-reported sVOCs post-engraftment. The safety profile of the BEAM-101 treatment regimen is consistent with busulfan conditioning, autologous HSCT, and underlying SCD. These results demonstrate the potential for base editing of the HBG1/2 promoters as a safe and effective therapeutic modality for the treatment of SCD that also has the potential to minimize hospitalization and treatment process burden for patients, families, and sites.
Lymphovision: A lymphoma-specialized foundation model for histology-based lymphoma classification and subtyping
Seheult, Jansen N. , Han, Wenchao, Keser, Reyhan Kevser , Sapkota, Nishchal, Kumar, Nilesh, Mwangi, Raphael , Dalland, Joanna , Larson, D. J., Zhang, Chi , Dangott, Bryan, McClintock, David S. , Reed, Katelyn A. , Schwartz, Kaitlin, Bjorheim, Annette, Lee, Jodi, Halvorson, J. Derek, Nowakowski, Grzegorz S. , Ansell, Stephen M. , King, Rebecca, Seheult, Jansen N , Tavolara, Thomas Erol , Kumar, Nilesh, Larson, Daniel, Gibson, Sarah E. , Horna, Pedro , Schwartz, Kaitlin, Lee, Jodi, Halvorson, Joseph, Witzig, Thomas E. , Maurer, Matthew J. , Cerhan, James R. , Hsi, Eric D.

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 117-117

10.1182/blood-2025-117 Get It

Abstract Background: Recent advances in computer vision have given rise to image foundation models (FMs), large-scale neural networks pre-trained on millions of unlabeled histopathology patches, which can learn generalizable representations of tissue morphology. In many cancers, these FMs have predicted genetic mutations and prognoses directly from histology, suggesting that morphology encodes “hidden” molecular information. In lymphoma, this field is nascent but growing.General-purpose histopathology FMs have limited representation of lymphoid morphology. We developed and evaluated LymphoVision, a lymphoma-specialized image foundation model pretrained with self-supervised learning, to extract clinically meaningful features from routine hematoxylin and eosin (H&E) histology. Methods: LymphoVision was pre-trained using knowledge distillation and consistency (DINOv2) on over 37 million multi-resolution patches (5x, 10x, 20x, 40x) sampled using a density-aware strategy from 31,211 H&E whole slide images (WSIs) from 9,155 archival lymphoma and reactive lymphoproliferative cases. To ensure diverse, representative samples, our patch sampling method uses an efficient graph-based clustering algorithm and prioritizes morphologically informative regions by clustering patch embeddings and performing density sampling within each cluster. The pretrained encoder was evaluated using a clustering-constrained attention multiple instance learning (MIL) framework on three diagnostic tasks: (1) cell-of-origin (COO) classification in diffuse large B-cell lymphoma (DLBCL), distinguishing germinal center B-cell (GCB) from non-GCB subtypes based on the Hans immunohistochemistry algorithm; (2) follicular lymphoma (FL) grading, differentiating low-grade (grades 1–2) from high-grade (grade 3); and (3) multiclass lymphoma subtype classification across six categories: DLBCL, FL, marginal zone lymphoma (MZL), mantle cell lymphoma (MCL), classical Hodgkin lymphoma (CHL), and benign/reactive lymphoid conditions. WSI-level labels were derived from pathology reports, and none of the evaluation cases were included in pretraining. Models used a ViT-Giant LymphoVision backbone to generate 20x patch embeddings, followed by MIL using 50% training data and 2-fold cross-validation (25% validation, 25% test). Performance was assessed using area under the receiver operating characteristic curve (AUC), accuracy, recall (sensitivity) and F1 score. Results: For DLBCL COO classification (total n=358 cases), LymphoVision achieved a mean test AUC of 0.93 (range 0.92–0.94), accuracy of 84.5% and F1 of 0.85 across two independent test folds (n=91 per fold, 50% GCB). These results outperformed general-purpose FMs on the same task and cases, including Virchow-v2 (AUC 0.85) and UNI-v2 (AUC 0.88), despite those models being pretrained on 10–100 times more images. For FL grading (total n=660 cases), the test set in each fold included 166 cases (18% grade 3), yielding a mean test AUC of 0.88 (range 0.87–0.90), accuracy of 89.2% and F1 of 0.80. In multiclass lymphoma subtype classification (total n=1,176 cases), the test set included 296 cases per fold. LymphoVision achieved a mean test AUC of 0.98 (range 0.97-0.99), mean test accuracy of 87.1% and mean F1 of 0.84. Class-wise recall was 92.0% for DLBCL (n=112), 88.2% for FL (n=72), 77.2% for MZL (n=29), 70.8% for MCL (n=35), 87.5% for CHL (n=24), and 95.8% for benign/reactive lymphoid conditions (n=24). Conclusion: LymphoVision is a lymphoma-specialized FM trained using self-supervision that achieves high diagnostic accuracy across multiple clinically meaningful tasks using weak supervision and standard H&E images, suggesting the encoder has learned fine-grained lymphoma morphology. Based on historical benchmarks from the 1997 International Lymphoma Study Group classification project, expert hematopathologists achieved diagnostic agreement rates of 55% to 84% using H&E morphology alone for the non-Hodgkin lymphoma (NHL) entities included in our multiclass task. LymphoVision approached or exceeded these benchmarks. These findings underscore the value of our approach using disease-specialized pretraining and intelligent patch sampling for data-efficient histopathology learning. LymphoVision has the potential to augment diagnostics, enable scalable AI-powered classification in real-world workflows, and serve as a foundation for prognostic and theragnostic applications. External validation and multimodal integration are ongoing.
Genomic and transcriptomic landscape of extranodal marginal zone lymphoma
Lossos, Izidore S., Biral, Leo, Thakkar, Devang, Naresh, Kikkeri N, Ondrejka, Sarah, Hsi, Eric, Xu, Mina, Koff, Jean, Jaye, David, Nørgaard, Peter, Breinholt, Marie Fredslund, Leeman-Neill, Rebecca, Shingleton, Jennifer, Happ, Lanie, Love, Cassandra, Mason, Emily F., Louissaint, Abner, Ong, Choon Kiat, Cheng, Chee Leong, Pillai, Raju, Pedersen, Mette, Yin, C. Cameron, Au-Yeung, Rex, Karjalainen-Lindsberg, Marja-Liisa, Chadburn, Amy, McKinney, Matthew, Sojitra, Payal, Evans, Andrew, Czader, Magdalena, Jiong, Yan, Dave, Sandeep, Chapman, Jennifer, Lossos, Izidore S., Biral, Leonardo P. A. , Thakkar, Devang, Naresh, Kikkeri N, Ondrejka, Sarah, Hsi, Eric, Xu, Mina, Koff, Jean, Jaye, David, Nørgaard, Peter, Breinholt, Marie Fredslund, Leeman-Neill, Rebecca, Shingleton, Jennifer, Happ, Lanie, Love, Cassandra, Mason, Emily F., Louissaint, Abner, Ong, Choon Kiat, Cheng, Chee Leong, Pillai, Raju, Pedersen, Mette, Yin, C. Cameron, Au-Yeung, Rex, Karjalainen-Lindsberg, Marja-Liisa, Chadburn, Amy, McKinney, Matthew, Sojitra, Payal, Evans, Andrew, Czader, Magdalena, Jiong, Yan, Dave, Sandeep, Chapman, Jennifer

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 1761-1761

10.1182/blood-2025-1761 Get It

Abstract Marginal zone lymphoma (MZL) is an uncommon non-Hodgkin B-cell lymphoma accounting for 7-10% of lymphoma diagnoses. Extranodal MZL (EMZL) of mucosa-associated lymphoid tissue (MALT) is the most common subtype (61%) of MZL. While the mutational landscape, chromosomal aberrations and transcriptome of nodal and splenic MZL have been extensively evaluated, the mutational landscape of EMZL has only been evaluated in a small number of patients and mainly by targeted sequencing. Consequently, the comprehensive genomic landscape of EMZL remains largely uncharacterized. Herein, we performed whole exome sequencing followed by targeted sequencing of potential tumor driver genes, copy number and/or RNA transcriptome analyses in 165 patients with pretreatment EMZL tumors involving 16 anatomic locations. All samples were collected and underwent expert review as part of the Atlas of Blood Cancer Genomes consortium. The most common anatomic locations were ocular adnexa (OAMZL) (n=35), gastric (n=25, including 6 positive for Helicobacter pylori), salivary glands (n=25), and lungs (n=24). Using common criteria for variant mutation calling and significant focal copy number (CN), we identified 1218 variants (1030 missense and 188 truncation mutations) across 174 genes and 2837 CN focal alterations (1614 copy gains and 1223 copy number losses). Of these genes, 44 and 11 were mutated in >5% and >10% of specimens, respectively. We detected variants identified previously by targeted sequencing in EMZL from different locations (e.g. TNFAIP3 (A20) (12%), TBL1XR1 (13%), SPEN (10%), CARD11 (7%), TET2 (7%) and CREBBP (6%)). We detected mutations in KLF2 (10 mutations in 8 EMZL patients) and PTPRD (7 mutations in 7 EMZL patients) that were previously suggested to be specific for splenic and nodal MZL, respectively. We also detected variants not previously reported in EMZL, including a transcriptional factor ZEB2, LRP1B,and others. The most frequently mutated gene in our study (25% of tumors) was IGLL5. Some mutations were limited to specific locations (e.g. ZEB2 mutations seen exclusively in gastric and salivary gland EMZL), while most were observed across all anatomic locations. There was no association between specific mutations and clonal IGHV, in contrast to previous reports. Using Enrichr tool, we observed enrichment of mutations in genes belonging to the B cell receptor activation, NOTCH signaling, Wnt-beta catenin signaling, NF-kB signaling , PI3K AKT signaling, DNA repair and other pathways. Chromosomal and copy number changes were also commonly observed including previously reported trisomy of chromosomes 3 and 18. Combining DNA mutations and CN alterations, the number of genetic lesions per tumor sample in the 174 mutated genes ranged from 0 to 95, with an average load of 17 lesions per case. RNA sequencing was successful in 159 EMZL tumors from 16 distinct anatomic locations. Unsupervised clustering using all genes with a median log2-normalized gene expression value greater than 5 and a standard deviation greater than 1 (1323 genes) demonstrated that the majority of gastric EMZL with and without H. pylori infections clustered together on 2 dendrograms as did most of the samples of OAMZL. Since the clustering could be forced by organ-specific and not tumor-specific gene expression, we next focused on the expression of the 345 genes from the LM22 matrix that passed our transcriptomic row filtering. Unsupervised clustering resulted in clustering of most gastric EMZL irrespective of H. pylori positivity together in the same dendrogram branch, accompanied by few additional EMZL from other anatomic locations. Most of the EMZL samples from other locations did not show preferential co-clustering together. On comparison of gene expression between gastric and OAMZL, there was enrichment of the B-cell receptor signaling pathway, B-cell activation, B-cell naïve and B-cell memory cells, B-cell proliferation and NF-kB signaling in the latter. Immune microenvironment analysis showed a statistically significant increase in resting mast cells and decrease in M1 macrophages in gastric EMZL and increase in regulatory T cells in salivary EMZL. The broad genomic studies reported here underscore the biological similarity of EMZL across anatomical sites with the potential exceptions of gastric EMZL (regardless of H. Pylori status). These data provide valuable genomic and transcriptomic resources to inform future diagnostic and therapeutic strategies.
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.
Trial in progress: CAR-T (idecabtagene vicleucel) in advanced myeloma plus iberdomide or usual monitoring (The Alliance A062102 CADMIUM Study)
Tuchman, Sascha, Geyer, Susan, Nelson, Garth, Linden, Michael, Rosenberg, Aaron, Conlin, Alison, Ganguly, Siddhartha, Harichand-Herdt, Seema, Fanning, Suzanne, Carlisle, Destin, Banerjee, Rahul, Afrough, Aimaz, Mitsiades, Constantine, Hillengass, Jens, Suman, Vera Jean, Kennedy, C., Holstein, Sarah, Dinner, Shira, Voorhees, Peter, Usmani, Saad, Tuchman, Sascha, Geyer, Susan, Nelson, Garth, Linden, Michael, Rosenberg, Aaron, Conlin, Alison, Ganguly, Siddhartha, Harichand-Herdt, Seema, Fanning, Suzanne, Carlisle, Destin, Banerjee, Rahul, Afrough, Aimaz, Mitsiades, Constantine, Hillengass, Jens, Suman, Vera Jean, Kennedy, C., Holstein, Sarah, Dinner, Shira, Voorhees, Peter, Usmani, Saad

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 2289-2289

10.1182/blood-2025-2289 Get It

Abstract Background: Multiple myeloma (MM) remains incurable, though key advances such as chimeric antigen receptor T-cells (CAR-T) and immunomodulatory agents, now evolving toward cereblon E3 ligase modulatory drugs (CELMoDs), have substantially improved the longevity and quality of life for patients (pts). Idecabtagene vicleucel (ide-cel) is a CAR-T targeting B-cell maturation antigen (BCMA), now US FDA-approved for pts who have received ≥2 prior lines of therapy including a proteasome inhibitor, immunomodulatory agent, and CD38 monoclonal antibody. Ide-cel was initially FDA-approved for ≥4 prior lines of therapy based on the KarMMa-1 study, which demonstrated a median progression-free survival (PFS) of 8.8 months across all cell doses and median overall survival (OS) of 19.4 months (Munshi et al., New Eng J Med 2021). Although promising, the fact that virtually all pts relapse post-ide-cel indicates that further progress is needed. To that end, iberdomide is an investigational CELMoD that in combination with dexamethasone has demonstrated a 30% response rate in early phase studies of triple class-refractory MM (Lonial et al., Lancet Haem 2022). Additionally, in laboratory-based correlative studies, iberdomide, at doses of ≤1 mg (well below the recommended phase 2 dose of 1.6 mg) was shown to augment immune function, including enhanced T-cell activation and cytotoxicity, and modulation of the cytokine milieu (Amatangelo et al., Cell Rep Med 2024). Iberdomide's combined properties of direct MM cytotoxicity and T-cell potentiation have clear, potential relevance to CAR-T clinically, providing the conceptual basis for the CADMIUM study (NCT06179888), exploring the effects of iberdomide as post-ide-cel maintenance therapy in MM. Study Design and Methods: This is a randomized phase II trial with a safety run-in to evaluate if treatment with iberdomide maintenance post-ide-cel can significantly improve PFS vs. standard of care (SOC) observation without therapy, in pts with relapsed/refractory MM with ≥4 prior lines of therapy, who have received ide-cel within 3 months of registration, and no evidence of MM progression or additional MM therapy since ide-cel. Pre-ide-cel iberdomide exposure is permissible but refractoriness is not. The safety run-in will confirm tolerability of the iberdomide dose to be carried forward, where doses to be tested include: iberdomide 1 mg orally on days 1-21 of a 28-day cycle (dose level 1; DL1) and iberdomide 0.7 mg on days 1-21 of a 28-day cycle (DL2). Dose-limiting toxicities (DLTs) include any of the following during the DLT period of a pt's first three months on iberdomide: prolonged Grade 3 non-hematologic toxicities, Grade 4 non-hematologic toxicities, prolonged Grade 4 neutropenia or thrombocytopenia, or any adverse event requiring iberdomide interruption for >4 weeks. Six pts will be enrolled onto DL1; if at most 1 of these pts has a DLT, DL1 will be carried forward to the randomized part of the study. Otherwise, 6 pts will be enrolled onto DL2. The randomized part of the trial will randomize 60 pts 1:1 to either iberdomide or SOC observation without therapy. A 1-sided log-rank test with α=0.15 has 81% power to detect a true hazard ratio (iberdomide/SOC) of 0.55 or less, corresponding to an improvement in median PFS to 16 vs. 8.8 months with SOC. One interim analysis for futility is planned. Secondary outcomes include OS, best response by International Myeloma Working Group (IMWG) criteria, and deepening of response, particularly conversion to complete response with a bone marrow minimal disease-negative state by Adaptive clonoSEQ (sensitivity 1e-6). Robust correlative studies will include CAR-T persistence, assays of T- and other immune cell function, and pathological analyses of whether BCMA expression on MM cells (prior to enrollment or at relapse) or other markers predict clinical outcomes. Study status: To date, 12 pts have been screened, with 7 pts enrolled on study as part of the safety run-in (1 patient replaced). Enrollment data will be updated at presentation. Notably, an amendment is forthcoming which will enhance correlative studies and broaden eligibility criteria to include patients who have received ≥2 prior lines of therapy, conforming with ide-cel's current FDA label. Study COI: BMS is supporting correlative studies. Study Support: U10CA180821, U10CA180882; BMS; U10CA180868 (NRG Oncology); http://acknowledgements.alliancefound.org
Comparison of real-world survival outcomes and time toxicity of CAR T-cell versus bispecific antibody therapies in relapsed/refractory follicular lymphoma: A multicenter cohort from 15 US academic institutions
Abbott, Diana, Amorim, Ana , Houshyar, Samin , Adhikari, Arjab, Patel, Dilan A. , Wanjiku, Christopher, Bock, Allison M. , Any, Haya Al, Desai, Nidhi , Gupta, S. C. , Altomare, Nicole , Trotier, Daniel, Ricker, Edd , Hill, Brian T. , Gupta, Supriya , Major, Ajay , Abbott, Diana , Snyder, Jordan Andrew , Ahmed, Nausheen , Villasboas, José C. , Sharp, John, Voorhees, Timothy , Wallace, Danielle, Wagner, Charlotte B , Brooks, Taylor , Tsang, Mazie , Rajab, Mohamed , Iqbal, Madiha , Gupta, Supriya, Karmali, Reem , Pophali, Priyanka A. , Cherng, Hua‐Jay J. , Gupta, Arjun

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

10.1182/blood-2025-1798 Get It

Abstract Background Chimeric antigen receptor T-cell (CAR-T) and bispecific antibody (BsAb) therapies are both effective for patients with relapsed/refractory (R/R) follicular lymphoma (FL), but differ in treatment schedules and associated “time toxicity,” or contact days spent physically interacting with the healthcare system. While contact days can be estimated from clinical trials, real-world data provides a more nuanced depiction of treatment-related time burden, which may guide treatment decision-making. The comparative time toxicity of CAR-T vs BsAb in R/R FL is not defined. Methods We conducted a multicenter retrospective study of adults with R/R grade 1-3A FL who received standard-of-care CAR-T (axi-cel, tisa-cel, liso-cel) or BsAb (mosunetuzumab, epcoritamab) in the third-line or later setting before Jan 1, 2025. Time toxicity was defined as outpatient or inpatient days with physical health care system contact, counting multiple visits on the same day as only one day. All days after treatment initiation were counted, regardless of disease progression, therapy completion, or relation to FL therapy. Median contact days over 1-year time horizon were compared, stratified by CAR-T vs BsAb, prior lines of therapy (LOT, 2 vs 3+), and time intervals (0-1, 1-3, 3-6, 6-9, and 9-12 months). Progression-free survival (PFS) and overall survival (OS) were calculated from day of CAR-T infusion or day 1, cycle 1 for BsAb. Cox regression and propensity matching (by age, ECOG, refractory to prior LOT, POD24) were used to assess predictors and survival associations with contact days. Results Among 209 patients from 15 U.S. academic centers, median age was 64, 37% were female, 61% received CAR-T (80% axi-cel, 7% liso-cel, 13% tisa-cel) and 39% BsAb (93% mosun, 7% epcor). Most had Grade 1-2 FL (72%), advanced stage (84%), and extranodal disease (51%). Median prior LOT was 3 (range 2-15), 41% were refractory to prior LOT, and 52% had POD24. Median number of BsAb doses was 10 (range 1-36). Patients receiving BsAb were significantly older (p<.01) and had higher CIRS comorbidity scores (p<.02) in both 2 and 3+ prior LOT cohorts, and had higher ECOG scores (p=.01) and were less likely to be refractory to prior LOT (p=.029) in 3+ LOT cohort. There were no differences in POD24 rates between CAR-T and BsAb. Median PFS for the entire cohort was 3.6 yrs; median OS was not reached. In the 2 prior LOT cohort (N=75), 60% received CAR-T and 40% BsAb. With median follow-up of 1.5 years, median PFS was not reached for CAR-T and 1.6 yrs for BsAb (p<.0001). In the 3+ prior LOT cohort (N=134), 62% received CAR-T and 38% BsAb. With median follow-up of 2 yrs, median PFS was 3.6 yrs for CAR-T and 1.6 yrs for BsAb (p=.0044). In propensity matched analysis, PFS was shorter for BsAb in both 2 LOT (HR 9.0, 95% CI 1.14-71.04, p=.037) and 3+ LOT (HR 3.25, 95% CI 1.06-9.97, p=.039) cohorts as compared to CAR-T. There were no significant differences in OS between CAR-T and BsAb. Median contact days were significantly higher for CAR-T vs BsAb in the 0-1 month interval: 19 vs 8 days in 2 LOT (p<.0001) and 18 vs 7 days in 3+ LOT (p<.0001) cohorts. There were no differences in contact days between CAR-T vs BsAb in subsequent time intervals. Over 1 year, CAR-T had significantly more time toxicity than BsAb: median 51 vs 36 contact days in 2 LOT (p<.0001) and 64 vs 38 days in 3L+ LOT (p<.0001) cohorts; these remained significant in the matched analysis. B symptoms (p=.04) and Grade ≥3 cytopenias (p=.007) were associated with higher contact days in 3+ LOT cohort in univariable analysis. Higher contact days were associated with inferior PFS (HR 1.01, 95% CI 1.00-1.02, p=.032) and OS (HR 1.01, 95% CI 1.00-1.02, p=.038) in 3+ LOT cohort regardless of treatment type. Discussion In this large real-world cohort of patients with R/R FL, CAR-T therapy resulted in better PFS but more time toxicity over the first year as compared to BsAb therapy. Excess time toxicity from CAR-T was driven by more contact days in the first month of treatment. This study provides benchmark data for counseling patients about expected time burden of CAR-T (51-64 days) and BsAb (36-38 days) over the first year of these therapies. Further, with superior PFS of CAR-T in this study and minimal impact of time toxicity on survival outcomes, these data can be used to better support shared decision-making in R/R FL by addressing patient preferences regarding both contact days as well as duration of disease control.
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.
Consensus recommendations from the 2024 International Follicular Lymphoma Scientific Workshop
Rutherford, Sarah C. , Ansell, Stephen M. , Armand, Philippe , Leonard, John P. , Smith, Sonali M. , Timmerman, John M. , Zelenetz, Andrew D. , Gutierrez, Meghan, Béguelin, Wendy , Nadel, Bertrand, Pasqualucci, Laura , LaCasce, Ann S. , Rutherford, Sarah C , Smith, Sonali M , Zelenetz, Andrew D , Béguelin, Wendy , Casulo, Carla , Cerhan, James R , Kridel, Robert , Link, Brian K , Maurer, Matthew , Radtke, Andrea J , Luttwak, Efrat , Salles, Gilles A , Pasqualucci, Laura , LaCasce, Ann Steward , Merryman, Reid W. , Nastoupil, Loretta J. , Casulo, Carla , Cerhan, James R. , Green, Michael Richard , Kahl, Brad S. , Link, Brian K. , Maurer, Matthew J. , Luttwak, Efrat , Salles, Gilles , Sehn, Laurie H.

Blood Advances | December 3, 2025 | Volume: 10 | Issue: 5 | Pages: 1591-1602

10.1182/bloodadvances.2025018079 | PMID 41337699 Get It

Abstract Follicular lymphoma (FL) is the most common indolent non-Hodgkin lymphoma. Although patients with FL have high response rates to therapy, most develop increasingly resistant disease. In addition, transformation into an aggressive lymphoma is associated with unfavorable outcomes. Many novel agents are under investigation, and early clinical data are encouraging. Aligning treatment with the underlying tumor biology and sequencing of therapies remain key clinical challenges. At the Lymphoma Research Foundation’s biannual 2024 Follicular Lymphoma Scientific Workshop, experts convened to discuss the role of chemotherapy in the context of new therapies, the impact of early progression on treatment sequencing, novel end points in clinical trials, disease biology and the tumor microenvironment, and new treatments on the horizon. This report focuses on updates in FL biology, first-line treatment, the role of progression of disease in 24 months, clinical trial design, and redefining cure in FL.
Building Resilient Clinicians: Lessons From Palliative Care Training for the Heart Failure Community
Godfrey, Sarah , Drazner, Mark H. , Godfrey, Sarah

Circulation: Heart Failure | December 3, 2025 | Volume: 19 | Issue: 1 | Pages: No page available

10.1161/circheartfailure.125.013403 | PMID 41332419 Get It