In this study, we analyzed the DEGs base on combined TCGA and GTEx datasets from the UCSC database, then applied WGCNA to identify genes highly correlated with tumor progression, and then combined with survival prognostic analysis to identify WDR62 as a new potential biomarker for ovarian cancer. This evidence concerns the gene WDR62 and neoplasm.