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. 2025 Mar 4;6(2):119-130.
doi: 10.1158/2643-3230.BCD-24-0163.

Dynamics of Immune Reconstitution and Impact on Outcomes across CAR-T Cell Products in Large B-cell Lymphoma

Affiliations

Dynamics of Immune Reconstitution and Impact on Outcomes across CAR-T Cell Products in Large B-cell Lymphoma

Danny Luan et al. Blood Cancer Discov. .

Abstract

Abstract: Patients treated with chimeric antigen receptor T-cell (CAR-T) therapy are subject to profound immunosuppression. Dynamics of immune reconstitution (IR) and impacts of IR on outcomes following infusion across CAR-T products are not well understood. In this study, we profiled IR in 263 patients with relapsed/refractory large B-cell lymphoma receiving CAR-T therapy (axicabtagene ciloleucel 44.9%, lisocabtagene maraleucel 30.4%, and tisagenlecleucel 24.7%). Following infusion, patients remain persistently immunosuppressed, with 48.1% having CD4+ T-cell counts <200/µL and the median CD3-CD19+ B-cell counts remaining zero through 1 year after CAR-T therapy. IR differences exist by product, with the fastest CD4+ T-cell recovery seen for tisagenlecleucel, driven primarily by more rapid recovery of the CD4+CCR7−CD45RA− effector memory subset. NK cell, but not CD4+ T cell, recovery is significantly associated with favorable progression-free (HR, 0.65; 95% confidence interval, 0.48–0.88) and overall survival (HR, 0.64; 95% confidence interval, 0.44–0.92) and inversely correlated with inflammatory markers measured at the time of infusion.

Significance: This study reveals differences in IR patterns after CAR-T therapy in patients with large B-cell lymphoma, with early NK cell recovery emerging as a key predictor of survival. These findings provide potential future avenues of research for improving patient outcomes and tailoring post-therapy management strategies to mitigate relapse risk.

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Conflict of interest statement

S. DeWolf reports grants from NIH/NCI K08 1K08CA293271-01, MSK Louis V. Gerstner Jr Physician Scholar Program, PICI, and MSK Leukemia SPORE outside the submitted work. G.L. Shah reports other support from Janssen, Amgen, Bristol Myers Squibb, Beyond Spring, GPCR, ArcellX, and Recordati outside the submitted work. G. Salles reports grants from the NIH/NCI during the conduct of the study, as well as other support from Novartis and personal fees from Kite/Gilead, Bristol Myers Squibb, Genentech, AbbVie, BeiGene, Genmab, Janssen, Merck, Pfizer, Incyte, Ipsen, Nurix, Loxo/Eli Lilly and Company, and Innate Pharma outside the submitted work. K. Rejeski reports grants and other support from Kite/Gilead and other support from Novartis, Bristol Myers Squibb/Celgene, and Pierre Fabre outside the submitted work. J.H. Park reports personal fees from Pfizer, Takeda, Galapagos, In8Bio, Adaptive Biotechnologies, Caribou Biosciences, Synthesize, Amgen, Novartis, Bristol Myers Squibb, Kite Pharma, Kura Oncology, Servier, Autolus, Curocell, Minerva, Allogene, Artiva, Sobi, Be Bio, BeiGene, GC Cell, AffyImmune, and Bright Pharmaceuticals outside the submitted work. M. Corona reports grants from Alfonso Martin Escudero Foundation during the conduct of the study. M. Scordo reports personal fees from McKinsey & Company, personal fees and other support from Angiocrine Biosciences, Inc. and Omeros Corporation, and other support from Amgen, Inc., Bristol Myers Squibb, Sanofi, Kite—A Gilead Company, Miltenyi Biotec, i3Health, Medscape, CancerNetwork, and IDEOlogy outside the submitted work. M.L. Palomba reports personal fees and other support from Juno during the conduct of the study and personal fees from Bristol Myers Squibb, Mustang Bio, Novartis, Synthekine, and Cellectar outside the submitted work, as well as an immediate family member receiving royalties for IP licensed to Juno, which is unrelated to this work. M.-A. Perales reports personal fees from Celgene and Bristol Myers Squibb and personal fees and other support from Kite/Gilead and Novartis during the conduct of the study, as well as personal fees from Equillium, Exevir, Karyopharm, ImmPACT Bio, Karyopharm, MorphoSys, personal fees from Sanofi, Syncopation, personal fees from Vor Biopharma, Omeros, Orca Bio, and Takeda, personal fees and other support from Incyte, Miltenyi Biotec, Nektar Therapeutics, and VectivBio AG, and grants and personal fees from Merck outside the submitted work; being a member of the Data and Safety Monitoring Board of Cidara Therapeutics and Sellas Life Sciences; and ownership in NexImmune, Omeros, and OrcaBio. R. Shouval reports grants from the NIH/NCI during the conduct of the study. No disclosures were reported by the other authors.

Figures

Figure 1.
Figure 1.
Immune subset trajectories from the time of CAR-T (time 0) through 1 year (time 365) following CAR-T. Subsets include (A) CD3+ T cells, CD3-19+ B cells, and CD3-56+16+ NK cells, (B) CD4+ T cells and CD8+ T cells, (C) CD4+ T-cell subsets including CCR7+CD45RA+ naïve cells, CCR7CD45RA+ effector cells, CCR7CD45RA EM cells, and CCR7+CD45RA CM cells, (D) and CD8+ T-cell subsets including CCR7+CD45RA+ naïve cells, CCR7CD45RA+ TEMRA cells, CCR7CD45RA EM cells, and CCR7+CD45RA CM cells. Trajectories depicted are estimated using locally estimated scatterplot smoothing or local regression modeling. CM, central memory; TEMRA, CD8+CCR7CD45RA+ effector cells.
Figure 2.
Figure 2.
Boxplots with superimposed dot plots demonstrate immune subset distributions at clinically significant timepoints, including days 30, 100, 180, and 365 after CAR-T. Axi-cel is shown in blue, liso-cel in green, and tisa-cel in red. Subsets shown are (A) CD3+ T cells, (B) CD4+ T cells, (C) CD8+ T cells, (D) CD4+CCR7CD45RA EM cells, (E) CD3-19+ B cells, and (F) CD3-56+16+ NK cells. Ranges of days 20–45, days 80–120, days 150–210, and days 300–400 were used to calculate the distributions for the boxplots for days 30, 100, 180, and 365, respectively. Note the differences in y-axes across panels. Asterisks above each set of bar plots represent P values as calculated by the Kruskal–Wallis test. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001 (the absence of any asterisks indicates P > 0.05).
Figure 3.
Figure 3.
Kaplan–Meier survival curves for OS and PFS. Comparisons include (A) OS and (B) PFS for CD4+ T-cell counts above and below 50 cells/µL and (C) OS and (D) PFS for CD3-56+16+ NK cell counts above and below the median day 30 metric of 101 cells/µL. P values are derived from the multivariate Cox proportional hazards model stratified by CAR-T product and adjusted for confounders, including pre–CAR-T age, LDH pre-lymphodepletion, and bridging.

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