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ABSTRACT: Background
Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma whose pathogenesis is not well understood. We aimed at identifying novel immune-related biomarkers that could be valuable in the diagnosis and prognosis of ccRCC.Methods
The Robust Rank Aggregation (RRA) method was used to integrate differently expressed genes (DEGs) of 7 Gene Expression Omnibus (GEO) datasets and obtain robust DEGs. Weighted gene co-expression network analyses (WGCNA) were performed to identify hub genes associated with clinical traits in The Cancer Genome Atlas (TCGA) database. Comprehensive bioinformatic analyses were used to explore the role of hub genes in ccRCC.Results
Four hub genes IFI16, LMNB1, RHBDF2 and TACC3 were screened by the RRA meth
SUBMITTER: Lv D
PROVIDER: S-EPMC8007883 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature