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Baseline Immune State and T-cell Clonal Kinetics are Associated with Durable Response to CAR-T Therapy in Large B-cell Lymphoma

医学 嵌合抗原受体 CD8型 免疫学 CD19 流式细胞术 免疫系统 细胞疗法 T细胞 白细胞清除术 内科学 肿瘤科 干细胞 生物 川地34 遗传学
作者
Katie Maurer,Isabella N. Grabski,Roch Houot,Satyen Gohil,Shogo Miura,Robert Redd,Haoxiang Lyu,Wesley Lu,Yohei Arihara,Justin A. Budka,Mikaela M. McDonough,Michela Ansuinelli,Carol Reynolds,Heather A. Jacene,Shuqiang Li,Kenneth J. Livak,Jerome Ritz,Brodie Miles,Mike Mattie,Donna Neuberg,Rafael A. Irizarry,Philippe Armand,Catherine J. Wu,Caron A. Jacobson
出处
期刊:Blood [American Society of Hematology]
标识
DOI:10.1182/blood.2024024381
摘要

Engineered cellular therapy with CD19-targeting chimeric antigen receptor T-cells (CAR-T) has revolutionized outcomes for patients with relapsed/refractory Large B-Cell Lymphoma (LBCL), but the cellular and molecular features associated with response remain largely unresolved. We analyzed serial peripheral blood samples ranging from day of apheresis (day -28/baseline) to 28 days after CAR-T infusion from 50 patients with LBCL treated with axicabtagene ciloleucel (axi-cel) by integrating single cell RNA and TCR sequencing (scRNA-seq/scTCR-seq), flow cytometry, and mass cytometry (CyTOF) to characterize features associated with response to CAR-T. Pretreatment patient characteristics associated with response included presence of B cells and increased lymphocyte-to-monocyte ratio (ALC/AMC). Infusion products from responders were enriched for clonally expanded, highly activated CD8+ T cells. We expanded these observations to 99 patients from the ZUMA-1 cohort and identified a subset of patients with elevated baseline B cells, 80% of whom were complete responders. We integrated B cell proportion 0.5% and ALC/AMC 1.2 into a two-factor predictive model and applied this model to the ZUMA-1 cohort. Estimated progression free survival (PFS) at 1 year in patients meeting one or both criteria was 65% versus 31% for patients meeting neither criterion. Our results suggest that patients' immunologic state at baseline affects likelihood of response to CAR-T through both modulation of the T cell apheresis product composition and promoting a more favorable circulating immune compartment prior to therapy. These baseline immunologic features, measured readily in the clinical setting prior to CAR-T, can be applied to predict response to therapy.
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