Comprehensive analysis of aerobic glycolysis-related genes for prognosis, immune features and drug treatment strategy in prostate cancer

HIGHLIGHTS

SUMMARY

    The Cancer Genome Atlas (TCGA, https:// portal.gdc.cancer.gov/), screened out AG-related genes using weighted gene co-expression network analysis (WGCNA), and finally established a 14-gene signature and validated it in multiple independent datasets. Data acquisition Public gene-expression data and clinical information were searched in the Gene Expression Omnibus (GEO; https://www. ncbi.nlm.nih.gov/gds/) and TCGA databases. The pathway level of multiple gene sets in TCGA-PRAD were quantified based on a single-sample gene set enrichment analysis (ssGSEA) algorithm by the "GSVA" package in R; the . . .

     

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