Unknown

Dataset Information

A cell-specific computational framework reveals a pan-cancer hypoxia signature predicting overall survival and ICI response.


ABSTRACT: Hypoxia forms an immunosuppression environment and is involved in tumor immune escape, which may be the potential culprit of resistance to anticancer therapies. Nevertheless, there is still a lack of research that explores the characteristics of hypoxia in pan-cancer at the single-cell level and assesses the application of hypoxia in immune checkpoint inhibitor (ICI) efficacy and clinical outcomes. We delineated cell-specific hypoxia levels and developed a computational framework to generate a pan-cancer tumor hypoxia-related transcriptomic signature (HYP.SIG) using 38 scRNA-seq datasets encompassing 362 patients and 893,464 cells across 19 cancer types. We defined computational indicators of hypoxia levels as HYP.SIG scores to characterize the hypoxia status across 33 cancer types and 29

SUBMITTER: Zhang C 

PROVIDER: S-EPMC12816908 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature