Deciphering immune predictors of immunotherapy response: A multiomics approach at the pan-cancer level.

Li X, Pan L, Li W, Liu B, Xiao C, Chew V, Zhang X, Long W, Ginhoux F, Loscalzo J, Buggert M, Zhang X, Sheng R, Wang Z

Cell Reports Medicine 6 (4) 101992 [2025-04-15; online 2025-03-06]

Immune checkpoint blockade (ICB) therapy has transformed cancer treatment, yet many patients fail to respond. Employing single-cell multiomics, we unveil T cell dynamics influencing ICB response across 480 pan-cancer and 27 normal tissue samples. We identify four immunotherapy response-associated T cells (IRATs) linked to responsiveness or resistance and analyze their pseudotemporal patterns, regulatory mechanisms, and T cell receptor clonal expansion profiles specific to each response. Notably, transforming growth factor β1 (TGF-β1)+ CD4+ and Temra CD8+ T cells negatively correlate with therapy response, in stark contrast to the positive response associated with CXCL13+ CD4+ and CD8+ T cells. Validation with a cohort of 23 colorectal cancer (CRC) samples confirms the significant impact of TGF-β1+ CD4+ and CXCL13+ CD4+ and CD8+ T cells on ICB efficacy. Our study highlights the effectiveness of single-cell multiomics in pinpointing immune markers predictive of immunotherapy outcomes, providing an important resource for crafting targeted immunotherapies for successful ICB treatment across cancers.

Bioinformatics Support for Computational Resources [Service]

PubMed 40054456

DOI 10.1016/j.xcrm.2025.101992

Crossref 10.1016/j.xcrm.2025.101992

pmc: PMC12047473
pii: S2666-3791(25)00065-5