Citations 426

Anito-cel for Multiple Myeloma

New England Journal of Medicine | September 23, 2026 | Volume: 395 | Issue: 12 | Pages: 1233-1236

10.1056/nejme2609181 | PMID 42777246

TNFRSF17 (B Cell Maturation Antigen, BCMA) alterations and downstream compensatory pathway activation following BCMA-directed CAR T-cell and bispecific T-cell engagers in multiple myeloma

No container title available | September 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-10945994/v1

Abstract BCMA-directed CAR T-cell and T-cell engager (TCE) therapies produce high response rates in relapsed multiple myeloma, yet most patients progress. Prior work identified TNFRSF17 alterations mediating antigen escape in up to 43% of TCE progressions. To evaluate the generalizability of these findings and examine antigen-loss-independent resistance, we performed whole-exome sequencing on 32 paired pre- and post-treatment progression bone marrow samples from 15 patients (5 CAR T, 10 TCE); two patients received both agents. TNFRSF17 alterations were infrequent and restricted to TCE recipients (one concurrent frameshift and missense mutation; two heterozygous copy-number losses); no biallelic loss or CAR T-associated events were observed. In contrast, deleterious/loss-of-function variants in NF-κB, PI3K-AKT-mTOR, and MAPK/ERK pathways were universal in pre-treatment samples and acquired or clonally enriched in 80% of patients at progression. Acquired events included loss-of-function alterations in CYLD , activating mutations in KRAS , NRAS and BRAF , and acquired TP53 mutations. In this series, antigen escape via TNFRSF17 /BCMA alteration was uncommon. Instead, pre-existing, acquired and clonally enriched pathogenic variants in NF-κB, PI3K-AKT-mTOR and MAPK cascades, together with TP53 mutation, emerged as a frequent finding. These alterations suggest that deregulation of BCMA-downstream survival signaling, enhanced proliferative fitness, and elevation of apoptotic threshold constitute antigen-loss-independent mechanisms of resistance.
Chromosome 1q Gain Defines a Plasma Cell–Dominant Adverse‐Risk Subtype in AL Amyloidosis With Inferior Long‐Term Survival

American Journal of Hematology | August 25, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/ajh.70484 | PMID 42638274

ABSTRACT The prognostic relevance of multiple myeloma (MM)‐defined high‐risk (HR) cytogenetic abnormalities in AL amyloidosis is incompletely defined. We retrospectively evaluated 517 newly diagnosed AL amyloidosis patients seen at Mayo Clinic between 2012 and 2021 who had baseline plasma cell FISH. HR cytogenetics were defined as t (4;14), t (14;16), t (14;20), del(17p), or 1q gain/amplification (+1q). HR abnormalities were identified in 151 patients (29%); +1q accounted for most HR cases (122/151, 81%). Compared with standard‐risk (SR), patients harboring +1q demonstrated a greater clonal disease burden, including higher dFLC and bone marrow plasma cells, greater intact immunoglobulin secretion, higher plasma cell proliferative index, and enrichment for modified SLiM‐CRAB features. Hematologic and organ response patterns of +1q patients were generally comparable to SR patients, whereas non‐1q HR patients had a higher proportion of early hematologic responses. Patients harboring +1q demonstrated significantly inferior overall survival (OS) compared with both non‐1q HR patients and SR patients (median OS 57 months vs. not reached vs. 120 months, p = 0.02). In multivariable piecewise Cox analysis, the adverse prognostic impact of +1q was most evident beyond 24 months from diagnosis (HR 2.89, 95% CI 1.64–5.09, p < 0.001), whereas non‐1q HR lesions were not independently prognostic. These findings suggest that +1q identifies a biologically distinct AL amyloidosis subset characterized by plasma cell–dominant features and inferior long‐term disease control. In contrast, other MM‐defined HR cytogenetic abnormalities appear to have limited prognostic relevance in AL amyloidosis.
Review Article: Immune Effector Cell‐Mediated Enterocolitis Following CAR ‐T Cell Therapy—Clinical Features, Pathophysiology and Management

Alimentary Pharmacology & Therapeutics | August 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/apt.70920 | PMID 42596026

ABSTRACT Background Chimeric antigen receptor T‐cell (CAR‐T) therapy has revolutionised the treatment of hematologic malignancies, and its use is expanding rapidly into numerous other disease states including autoimmune diseases. However, CAR‐T therapy is associated with a spectrum of immune‐related toxicities. In addition to the already well characterized cytokine release syndrome and immune effector cell‐associated neurotoxicity syndrome, it has become apparent that rarely, CAR‐T can cause gastrointestinal mucosal inflammation, termed immune effector cell‐mediated enterocolitis (IEC‐EC). Aims This state‐of‐the‐art review highlights the CAR‐T mechanism and details the epidemiology, pathophysiology, clinical manifestations, endoscopic and histopathologic features, and management of IEC‐EC. Methods This review presents the current state of knowledge through a comperhensive and detailed synthesis of all case series reported in the literature to date. Results Occurring in up to approximately 6% of patients typically following B cell maturation antigen‐targeted CAR‐T therapy, IEC‐EC presents with severe diarrhoea and malabsorption, responds poorly to treatment, and portends a dire prognosis. Multi‐disciplinary management should centre on early diagnosis, supportive cares, assessment and treatment of infections, and step‐up pharmacotherapy, often featuring biologics and small molecules drawn from the inflammatory bowel disease pharmacologic armamentarium. Conclusions Clinicians should maintain a high degree of vigilance for IEC‐EC in patients presenting with gastrointestinal symptoms following CAR‐T treatment. Early recognition and multi‐disciplinary treatment may improve patient outcomes.
Clinical course, risk factors, and therapeutic response in multiple myeloma with central nervous system involvement

Blood Advances | June 25, 2026 | Volume: 10 | Issue: 17 | Pages: 5828-5833

10.1182/bloodadvances.2026020668 | PMID 42348786

Abstract Extramedullary disease (EMD) is increasingly recognized in relapsed/refractory multiple myeloma (MM), with central nervous system involvement (CNS-MM) representing a rare but highly aggressive manifestation associated with dismal outcomes. Data on its incidence and optimal management, particularly in the era of cellular and bispecific therapies, remain limited. We conducted a retrospective analysis of patients with MM with pathology-confirmed EMD treated at our institution between January 2000 and December 2023. CNS-MM was defined by parenchymal or leptomeningeal involvement. Clinical features, cytogenetics, treatments, and outcomes were analyzed, with predictors of CNS involvement evaluated among patients with EMD. Among 304 patients with EMD, 20 (6.5%) had CNS-MM. CNS involvement occurred a median of 19.2 months after MM diagnosis, though 15% presented at diagnosis. CNS-MM was strongly associated with high-risk cytogenetics (odds ratio [OR], 3.7) and additional visceral EMD (OR, 4.6). Median overall survival (OS) from CNS-MM diagnosis was 4.2 months. Outcomes were significantly improved in patients receiving chimeric antigen receptor T-cell therapy or bispecific antibodies, with a median OS of 19.2 months vs 1.2 months in those who did not receive immune effector therapies. Intrathecal (IT) chemotherapy demonstrated limited and transient benefit. In conclusion, CNS-MM is an aggressive complication enriched in high-risk, multifocal EMD with extremely poor prognosis. Cellular and bispecific therapies show promising activity and may meaningfully improve survival, whereas IT therapy appears to have limited efficacy. Prospective studies are needed to define optimal treatment strategies for CNS-MM.
Idecabtagene vicleucel manufacturing and clinical value of out-of-specification products in relapsed and refractory MM

Blood Advances | March 27, 2026 | Volume: 10 | Issue: 11 | Pages: 3769-3776

10.1182/bloodadvances.2025017186 | PMID 41894689

Abstract Idecabtagene vicleucel (ide-cel) is a chimeric antigen receptor (CAR) T-cell therapy approved for relapsed and refractory multiple myeloma (RRMM). Out-of-specification (OOS) CAR T cells not meeting criteria for commercial release are considered an investigational product; the expanded access protocol (EAP) allows release of OOS product for administration. The manufacturing analysis of capability, reliability, and timely delivery of ide-cel in the United States over &gt;3 years since its approval included patients with RRMM who underwent leukapheresis for ide-cel treatment after ≥2 prior lines of therapy between 23 February 2021 and 1 November 2024. Additionally, the BB2121-EAP-001 study evaluated safety and efficacy of OOS ide-cel and included patients who had undergone leukapheresis for commercial ide-cel treatment not meeting commercial release specifications, most commonly due to high CD137 activation or low-infused dose. Primary end point was safety. Secondary end points were overall response rate (ORR) and complete response rate (CRR). At data cutoff (1 November 2024), the manufacturing success rate of ide-cel improved from 95.3% in 2021 to 96.8% in 2024. Turnaround time also improved from 31 days in 2021 to 24 days in 2024. In BB2121-EAP-001, 68 (72.3%) patients experienced ≥1 cytokine release syndrome event (mostly grade 1/2) and 15 (16.0%) had neurological toxicities (2 grade 3, 13 grade 1/2). ORR was 75.4% (95% confidence interval [CI], 63.1-85.2), and CRR was 35.4% (95% CI, 23.9-48.2). The manufacturing success of ide-cel is reliable and consistently high, and when OOS ide-cel products emerged, they demonstrated consistent clinical efficacy and safety. The BB2121-EAP-001 study was registered at www.clinicaltrials.gov as NCT04771078.
Anti–B-cell Maturation Antigen Chimeric Antigen Receptor T-cell Therapy bb21217 for Relapsed and Refractory Multiple Myeloma: Results from the Phase I CRB-402 Study

Cancer Immunology Research | January 21, 2026 | Volume: 14 | Issue: 4 | Pages: 528-542

10.1158/2326-6066.cir-24-0527 | PMID 41562447

Abstract Chimeric antigen receptor (CAR) T-cell therapy enriched for a memory-like phenotype may persist and function longer than a nonenriched product, thereby improving duration of response (DOR). We conducted a phase I study with bb21217 (NCT03274219), an anti–B-cell maturation antigen CAR T-cell therapy manufactured in the presence of the phosphoinositide 3-kinase inhibitor bb007 to enrich for T cells with a memory-like phenotype, in patients with relapsed/refractory multiple myeloma (N = 72). No new safety concerns were raised with bb21217 therapy (three cases each of grade ≥3 cytokine release syndrome and grade ≥3 neurotoxicity were observed). The objective response rate was 69.4% and the median DOR was 23.8 (95% confidence interval, 16.8–34.8) months. Analysis of the drug product established an association between early memory phenotype and robust expansion and depth of response. Examination of baseline characteristics indicated that tumor burden and prior therapies influenced DOR. The data indicate that generation of CAR T cells early in a disease course when tumor burden is lower and source material exhibits a more naïve phenotype may maximize the clinical benefit potential of the drug product.
Cytogenetics-based Clinical Trajectories in Patients with MRD Negativity Post Autologous Transplant for Multiple Myeloma

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

10.21203/rs.3.rs-8586124/v1

Abstract Measurable residual disease (MRD) assessment has become central to risk-adapted treatment strategies in multiple myeloma, yet the prognostic value of MRD negativity following autologous stem cell transplantation (ASCT) across individual high-risk cytogenetic abnormalities (HRCAs) remains unclear. We analyzed 351 newly diagnosed patients who achieved MRD negativity (sensitivity 2.4×10 − 6 ) at Day 100 following ASCT and had baseline cytogenetic data available. Median follow-up was 50.4 months. Standard-risk cytogenetics were present in 46% (n = 162), while 34% (n = 118) had one HRCA and 20% (n = 71) had ≥ 2 HRCAs. Despite uniform MRD negativity, several HRCAs continued to confer inferior progression-free survival (PFS). Compared with the standard-risk group (4-year PFS 84%), patients with del(17p), 1q21+, t(4;14), or MAF translocations [t(14;16)/t(14;20)] had significantly lower 4-year PFS rates: 56% (HR 2.89; p = 0.0001), 60% (HR 2.46; p = 0.0001), 43% (HR 3.50; p = 0.0001), and 58% (HR 2.51; p = 0.01), respectively. Isolated del(17p) and 1q21 + also conferred inferior PFS. The 4-year PFS was 65% for patients with one HRCA (HR 2.31; p = 0.0004) and 55% for those with ≥ 2 HRCAs (HR 2.75; p = 0.0001). In this large MRD-negative post-ASCT cohort, several HRCAs, including isolated HRCAs, remained clinically meaningful drivers of inferior PFS, highlighting that early MRD negativity does not uniformly mitigate the impact of high-risk biology.
Identifying candidates for outpatient administration of ciltacabtagene autoleucel (Cilta-cel) in relapsed-refractory multiple myeloma (RRMM)

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4000-4000

10.1182/blood-2025-4000

Abstract Introduction: Cilta-cel is a BCMA-directed CAR T-cell therapy that has shown remarkable efficacy in patients with RRMM. As real-world (RW) experience with cilta-cel continues to expand, and with the recent FDA guidance reducing the recommended proximity to the CAR T center from four to two weeks post-infusion, there is growing interest in identifying patients at low risk for severe early complications who may be safely managed in the outpatient setting and potentially ‘discharged’ home earlier. Methods Data were collected from 769 patients with RRMM treated with cilta-cel at 15 institutions in the U.S. via the Multiple Myeloma Immunotherapy Consortium.Logistic regression was used to identify predictors of patients who could be managed in the outpatient setting (low-risk group). Based on expert consensus within the Consortium, low-risk patients were defined as: grade ≤1 CRS, no ICANS, and no IEC-HS. The remaining patients were categorized as high-risk. We evaluated baseline characteristics with missingness &lt; 20% as predictors, including age, sex, race, and ethnicity, ECOG performance status (PS) at time of lymphodepletion (LD), extramedullary disease, bone marrow plasma cell (BMPC) percentage, high-risk cytogenetics, bridging therapy including response, penta-refractory status, number of prior lines of therapy, prior anti-BCMA therapy, baseline C-reactive protein (CRP), and baseline ferritin. The cohort was restricted to patients with complete data on all predictors (n=455) and split into a training and testing cohort (80/20 split, n=364/91). Bidirectional stepwise regression was used to build the predictive model using variables with significance of p&lt;0.15 selected for entry. The best model was selected based on the AIC (Akaike Information Criterion) and a significance level of p&lt;0.05. Results Among the 455 patients with complete data included in the final model, 290 (64%) were categorized as low-risk and 165 (36%) as high-risk. Compared to the low-risk group, high-risk patients were more likely to have an ECOG PS ≥2 at time of LD (20% vs 9%, p&lt;0.001), high-risk cytogenetics (47% vs 35%, p=0.009), and penta-refractory disease status (34% vs 24%, p=0.031). High-risk patients also had a higher median BMPC percentage (15% vs 5%, p&lt;0.001), and higher baseline pre-LD CRP and ferritin. Overall response rates were high, at 95% vs 90% (p=0.047) for the low vs high risk groups, with complete response or better achieved in 73% vs 66% of patients, respectively (p=0.14). With a median follow-up of approximately 11 months, median progression-free survival was not reached (95% CI: 27-NA) in the low-risk group and 18.2 months (95% CI: 13.1-NA) in the high-risk group. In terms of safety, non-ICANS neurotoxicity (NINT) occurred less frequently in the low-risk group (6.6% vs 13%, p=0.015). Specifically, Parkinsonism was observed in 1.7% vs 6.1% (p=0.013), and cranial nerve palsy in 4.5% vs 5.5% (p=0.7), respectively. Non-relapse mortality (NRM) was lower in the low-risk group (4.2%) compared to the high-risk group (14%; p &lt; 0.001). The most common causes of NRM in the low- and high-risk groups were acute toxicities (0% vs 36%, including CRS, IEC-HS, and ICANS), delayed toxicities (0% vs 8%, including colitis, NINT, and Parkinsonism), infections (50% vs 48%), and other unrelated causes (50% vs 8%). The best model to predict low-risk patients that could be managed in the outpatient settingincluded BMPC percentage and ECOG PS at LD. In the training cohort, patients with a higher pre-LD BMPC percentage and an ECOG PS ³2 were less likely to be in the low-risk group(OR per 1-unit change in BMPC percentage = 0.99, 95% CI=0.98-0.99, p&lt;0.001 and OR for ECOG PS 2-4 = 0.38, 95% CI=0.20-0.72, p=0.003). The AUC for this model was 0.663 in the training cohort and 0.659 in the testing cohort. Conclusion In this large, multi-institutional cohort of patients with RRMM treated with cilta-cel, we identified clinical factors associated with lower risk for early severe toxicities, supporting outpatient administration and the potential for earlier discharge in selected patients, particularly those who are fit and have low disease burden. Our findings provide a practical framework to guide risk stratification and outpatient CAR T management strategies, particularly in light of evolving regulatory guidance and growing RW experience with cilta-cel.
AI multimodal large language model on CAR-T pre-leukapheresis evaluation to predict monitoring needs post infusion for early dismissal planning

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 6131-6131

10.1182/blood-2025-6131

Abstract Introduction: CAR-T therapy has transformed cancer therapy. with its first Food and Drug Administration (FDA) approved product in August 2017. Given the expanding indications and growing experience, particularly with management of immediate toxicities requiring specialized expertise such as Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity syndrome (ICANS), FDA recently removed the Risk Evaluation and Mitigation Strategies (REMS) for CD19 and BCMA targeting CAR-T on June 26th2025. In particular, given that CRS and ICANS typically occur in the first 2 weeks post CAR-T infusion, the minimum required stay near CAR-T treatment center is reduced from one month to 2 weeks. While this could reduce treatment burden for patients (pts) who need to travel away from home to receive CAR-T, there is a need to update the transition of care from CAR-T center to pts' local oncology practice. Pts carry in their rate of recovery and have varying supportive care needs in the second half of the month post CAR-T infusion. To assist with care transition and planning, we examine the use of AI multimodal large language model (LLM) to predict patients' supportive care needs 2 weeks after CAR-T infusion based on the clinical data at the time of CAR-T evaluation, prior to leukapheresis. This timepoint was selected to also maximize travel, lodging and caregiver planning for pts and family as well. Methodology: Pts who were treated with FDA-approved CAR-T at Mayo Clinic Rochester between December 2022 and June 2025 were examined. Based on experiences with referral practices in the Midwest region, we defined patients with high monitoring needs as those who between day 14-30 post CAR-T had either hospital admission due to recurrent CRS or ICANS or required transfusion of more than 1 blood product per week (red blood cell or platelets). Others were classified as low monitoring needs. Clinical notes, labs, vital signs and electrocardiogram at the time of CAR-T evaluation were abstracted and summarized by Gemini LLM for association with patients with high versus low monitoring needs post CAR-T. Model was developed and tested for predicted needs and concordance with actual outcome of these pts. Results: Among the 362 pts who received FDA approved CAR-T in the timeframe, 84 pts had high monitoring needs. An additional 84 pts with low monitoring needs were randomly selected from 278 pts. These were divided into a training cohort and test cohort of 84 pts each, with 42 pts with high and 42 pts with low monitoring needs. Demographics of the two cohorts displayed no statistical difference. LLM analysis of the clinical data at the time of CAR-T eval identified 5 categories associated with risk for high monitoring needs: 1) Disease status (clinical notes about bulky, progressive disease or CNS involvement); 2) inflammatory and tumor burden markers (CRP, LDH); 3) hematologic status (platelet, plt; neutrophil count ANC); 4) renal function; 5) performance status. Using common clinical lab parameter convention (platelets &lt;100, ANC&lt; 1, CrCl&lt; 30ml/min), and prioritizing for not missing pts with high monitoring needs, LLM model was defined to predict patients for high monitoring needs if high risk feature was identified in category 1 or any category combinations; whereas patients with no high risk feature or only 1 category that is not disease status was predicted as low monitoring needs. In this model, the sensitivity was 85.7%, specificity 23.8%, F1 score 65.5%. Applying this model to test cohort 2, the sensitivity was 83.3%, specificity 28.6%, and F1 score 65.4%. Discussion: We demonstrate proof-of-concept that LLM can be used to analyze clinical data at the time of evaluation for CAR-T eligibility to predict for supportive care needs post treatment. Not surprisingly, features identified by LLM to be associated with high monitoring needs are those previously reported by us and others at the time of CAR-T evaluation and or pre-lymphodepletion to be associated with risk for cytopenia, infection, hospitalization and non-relapse mortality. Based on the summary output generated by LLM, additional opportunities for classification methods were identified to improve specificity and balanced accuracy of the LLM model. This is a promising tool for further development to assist clinicians and patients to plan their treatment journey.