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Research Article Open Access
Bladder carcinoma is the most common malignancy of the urinary tract. Identification of genetic biomarkers for tumor invasiveness will help in earlier diagnosis and proper treatment. The present study aimed to integrate coexpression network and GO enrichment analysis for identification of prognostic markers and key genes that contribute to bladder cancer initiation and progression using a DNA microarray dataset (GSE 37317), invasive and noninvasive bladder cancer genes were compared by applying weighted gene co-expression network, gene ontology and pathway analysis. This study identified candidate genes (PURA, SRPK2, TRAK1, BRD2, and UPF3) that might have significant role in progression and invasiveness of bladder carcinoma. These markers might aid in early diagnosis of muscle invasiveness of bladder cancer. In conclusion; these finding may provide better understanding of the molecular mechanism of bladder cancer progression and invasiveness.
Bladder carcinoma, WGCNAL, Coexpression, Invasiveness, GO analysis, Protein engineering,Transcriptome analysis,Comparative transcriptomics