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ABSTRACT: Background
Clear cell renal cell carcinoma (ccRCC) progression is closely associated with the tumor microenvironment and immune evasion mechanisms. Identifying key molecular drivers is critical for advancing ccRCC diagnosis and therapy.Methods
Differentially expressed genes (DEGs) were identified through analysis of the GSE6344 and GSE781 datasets. Weighted Gene Co-expression Network Analysis (WGCNA) was performed to uncover co-expression modules that exhibit significant correlation with clinical traits. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, coupled with survival analysis, were employed to pinpoint potential hub genes. Single-cell RNA-seq data were analyzed to clarify cellular sources of PLAUR, C3, and EMP3. Funct
SUBMITTER: Zi SR
PROVIDER: S-EPMC12830536 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature