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Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis

1 Apr 2020

Abstract excerpt

BACKGROUND: Prostate cancer (PCa) is one of the leading causes of cancer-related death. In the present research, we adopted a comprehensive bioinformatics method to identify some biomarkers associated with the tumor progression and prognosis of PCa. METHODS: Differentially expressed genes (DEGs) analysis and weighted gene co-expression network analysis (WGCNA) were applied for exploring gene modules correlative...

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PMID: 32243390
DOI: 10.1097/md.0000000000019628

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