Absolute lymphocyte count after BCMA CAR-T therapy is a predictor of response and outcomes in relapsed multiple myeloma
- PMID: 38776397
- PMCID: PMC11321283
- DOI: 10.1182/bloodadvances.2023012470
Absolute lymphocyte count after BCMA CAR-T therapy is a predictor of response and outcomes in relapsed multiple myeloma
Abstract
B-cell maturation antigen (BCMA)-targeting chimeric antigen receptor T cells (CAR-Ts) used in multiple myeloma (MM) are rapidly becoming a mainstay in the treatment of relapsed/refractory (R/R) disease, and CAR-T expansion after infusion has been shown to inform depth and duration of response (DoR), but measuring this process remains investigational. This multicenter study describes the kinetics and prognostic impact of absolute lymphocyte count (ALC) in the first 15 days after CAR-T infusion in 156 patients with relapsed MM treated with the BCMA-targeting agents ciltacabtagene autoleucel and idecabtagene vicleucel. Patients with higher maximum ALC (ALCmax) had better depth of response, progression-free survival (PFS), and DoR. Patients with ALCmax >1.0 × 103/μL had a superior PFS (30.5 months vs 6 months; P < .001) compared with those with ≤1.0 × 103/μL, whereas patients with ALCmax ≤0.5 × 103/μL represent a high-risk group with early disease progression and short PFS (hazard ratio, 3.4; 95% confidence interval, 2-5.8; P < .001). In multivariate analysis, ALCmax >1.0 × 103/μL and nonparaskeletal extramedullary disease were the only independent predictors of PFS and DoR after accounting for international staging systemic staging, age, CAR-T product, high-risk cytogenetics, and the number of previous lines. Moreover, our flow cytometry data suggest that ALC is a surrogate for BCMA CAR-T expansion and can be used as an accessible prognostic marker. We report, to our knowledge, for the first time the association of ALC after BCMA CAR-T infusion with clinical outcomes and its utility in predicting response in patients with R/R MM.
© 2024 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved.
Conflict of interest statement
Conflict-of-interest disclosure: J.M. reports receiving advisory or consulting fees from Janssen. C.R. reports receiving research funding from Janssen. D.P. reports receiving consulting fees from Sanofi. M.M. reports receiving advisory or consulting fees from bluebird bio, CRISPER/Vertex, and Incyte. S.L. reports receiving advisory or consulting fees from Adaptive Biotechnologies, Alexion Pharmaceuticals, Bristol Myers Squibb, Janssen, Karyopharm Therapeutics, Takeda, Pfizer, Oncopeptides, and Caelum Biosciences, and patents and royalties effective 1 January 2041; research funding from Celgene and Sanofi; and honoraria from Clinical Care Options and Regeneron. R.R. reports receiving advisory or consulting fees from TScan Therapeutics. S.Y. reports receiving advisory and consultancy fees from Kite Pharma and Bristol Myers Squibb. A.R. reports receiving advisory or consulting fees from Sanofi, Bristol Myers Squibb, and Adaptive Biotechnologies. S.P. reports receiving research funding from Amgen, Karyopharm, and Bristol Myers Squibb. S.J. reports receiving advisory or consulting fees from Bristol Myers Squibb, Janssen, Merck, Sanofi, Takeda, and Karyopharm. R.N. received honoraria and advisory fees from Bristol Myers Squib, Janssen, and Karyopharm, and received research funding from Celgene Inc, Takeda Inc, and Onyx Inc. S.R. reports receiving advisory or consulting fees from Bristol Myers Squibb and Janssen; and research support from Janssen, Bristol Myers Squibb, Gracell Biotechnologies, and C4 Therapeutics. M.B. reports receiving honoraria from Bristol Myers Squibb, Janssen, and Karyopharm; and consultancy fees from Bristol Myers Squibb, Janssen, Ipsen, and Menarini Silicon Biosystems. The remaining authors declare no competing financial interests.
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