Expression and prognostic value of key genes in bladder cancer based on TCGA database

ObjectiveTo explore the differential expressions and the prognostic role of genes in bladder cancer.

MethodsThe gene expression data of bladder cancer were downloaded from TCGA database. The differentially expressed genes between tumor and normal tissues were screened by R software, and their potential biological functions and signal pathways were evaluated by enrichment analysis. A protein-coding interaction network was constructed using the online database STRING11.0 to further screen key genes. The expressions of key genes in bladder cancer was verified by GEPIA and UALCAN database. Then the online tool Kaplan Meier Plotter was used to analyze the prognosis.

ResultsA total of 1 538 genes were differentially expressed, including 1 088 up-regulated and 450 down-regulated. Enrichment analysis showed that the differential genes were mainly related to signal transduction, substance metabolism, immune responses and other signal pathways. Among the 10 key genes screened, 2 genes have the prognostic value.

ConclusionsThere are many differentially expressed genes in bladder cancer which have an impact on the progression of the disease. It is of great significance to find and use them in the individualized treatment of bladder cancer.