bioRxivCancer BiologyPreprint
Lymphoma response to chimeric antigen receptor T cell therapy is driven by endogenous tumor-reactive CD8⁺ T cells
Bachisio ZicchedduiD, Constanza Savid-FronteraiD, Venu V.G. Saralamma, Chandler GatenbeeiD, Abdessamad A. Youssfi, Monika ChojnackaiD, Meghan A. MengesiD, Luis Cuadrado-Delgado, Michael A. DuranteiD, John E. MullinaxiD, Keyla Reid, Julieta Abraham Miranda, Salvatore CoralloiD, Emily Merritt, W Greg Sawyer, Anthony Augello, Austin Daniel NewsamiD, Dhanvantri ChahariD, Catalina C Amador, Jay Y. SpiegeliD, Marco L. DavilaiD, Ola LandgreniD, Juan Pablo AlderuccioiD, Mark Robertson‐TessiiD, Reginald M. AtkinsiD, , Frederick Lundry LockeiD
Abstract
CD19-directed chimeric antigen receptor T-cell (CAR-T) therapy induces durable remissions in a subset of patients with relapsed or refractory large B-cell lymphoma; however, most patients fail to respond or eventually relapse. By integrating whole-genome and transcriptome profiling of 54 patients with functional assays, syngeneic models, and mathematical modeling, we demonstrate that durable CAR-T efficacy requires cooperation between CAR-T cells and endogenous CD8 (eCD8) T cells recruited to join the attack on malignant cells. Tumors with biallelic loss of MHC class I or CD58 exhibited high genomic complexity, increased neoantigen burden, and resistance to CAR-T therapy. MHC-I-deficient lymphomas showed suboptimal response in immunocompetent hosts compared to wild type. Importantly, sustained responses in mice occurred only in the presence of eCD8 cells, whereas all CD8-depleted mice relapsed after initial CAR-T-mediated tumor regression. Patients and murine ELISPOT assays confirmed enhanced endogenous T-cell activation post-CAR-T. These findings reveal that CAR-T therapy functions not only as a cytotoxic modality but also as a catalyst for endogenous anti-tumor immunity.
- organism: human
- assay: whole-genome sequencing
- assay: bulk RNA-seq
- research focus: cell-cell communication
- research focus: differential expression
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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