Comprehensive analysis of coagulation-associated gene signature in bladder cancer diagnosis, prognosis, and immunotherapy.
Ontology highlight
ABSTRACT: In recent years, research on the relationship between coagulation system abnormalities and tumor immunity has been widely reported. Bladder cancer (BC), as an immunogenic tumor, holds great promise in immunotherapy. The role of coagulation-related genes in predicting the prognosis of BC patients and the efficacy of immunotherapy remains to be explored. In this study, we utilized the TCGA data system to analyze the biological functions of coagulation-related genes (CRGs) in BC patients. Additionally, we employed multiple machine learning methods (LASSO regression, SVM-RFE regression, and random forest) to establish diagnostic and prognostic signatures for BC based on CRGs. Univariate and multivariate Cox analyses indicated that the prognostic signature is an independent risk factor. Combini
SUBMITTER: Yin G
PROVIDER: S-EPMC12572289 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA