Pre-Treatment peripheral Immune composition can accurately predict CAR-T outcomes in patients with Large B-Cell Lymphoma
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ABSTRACT: Chimeric Antigen Receptor (CAR)-T cell therapy has revolutionized the treatment landscape for relapsed/refractory B-cell lineage malignancies. Yet, about 50% of patients fail to respond. Refined patient selection criteria and response prediction, would contribute to improved prognosis and safer treatments. We performed single-cell RNA sequencing of pre-treatment peripheral blood samples from 42 Diffuse Large B-Cell patients, receiving anti CD-19 CAR-T products: axicabtagene ciloleucel (axi-cel) or tisagenlecleucel (tisa-cel) and correlated their molecular and cellular features with treatment outcome at three months post-infusion. Responders tended to have fewer regulatory T cells (Tregs), and exhibited lower cellular activation and stress pathway expression in T and NK cells. Responders had higher levels of CD16 monocytes and dendritic cells, while non-responders displayed increased myeloid cell apoptosis and pro-inflammatory gene expression. All patients with B-cells at leukapheresis (13/42) responded completely, including six with malignant B-cells showing immunoglobulin light chain clonality and DLBCL-typical genetic aberrations. These insights enabled us to craft a machine-learning prediction model based on pre-leukapheresis blood composition. Our findings highlight the cellular and molecular milieu required for a successful CAR-T outcome, and provide a framework for practical personalized tools for patient selection and stratification for improved prognosis.
ORGANISM(S): Homo sapiens
PROVIDER: GSE267097 | GEO | 2025/09/14
REPOSITORIES: GEO
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