Objective: The purpose of this study was to identify genes related to bladder cancer with samples from normaland disease cases by microarray chip.
Methods: After downloading the gene expression profile GSE3167 fromGene Expression Omnibus database which includes 50 bladder samples, comprising 9 normal and 41 diseasesamples, differentially expressed genes were identified with packages in R language. The selected differentiallyexpressed genes were further analyzed using bioinformatics methods. Firstly, molecular functions, biologicalprocesses and cell component analysis were researched by software Gestalt. Then, software String was used tosearch interaction relationships among differentially expressed genes, and hub genes of the network were selected.Finally, by using plugins of software Cytoscape, Mcode and Bingo, module analysis of hub-genes was performed.
Results: A total of 221 genes were identified as differentially expressed by comparing normal and disease bladdersamples, and a network as well as the hub gene C1QBP was obtained from the network. The C1QBP module hadthe closest relationship to production of molecular mediators involved in inflammatory responses.
Conclusion:We obtained differentially expressed genes of bladder cancer by microarray, and both PRDX2 and YWHAZ inthe module with hub gene C1QBP were most significantly related to production of molecular mediators involvedin inflammatory responses. From knowledge of inflammatory responses and cancer, our results showed that,the hub gene and its module could induce inflammation in bladder cancer. These related genes are candidatebio-markers for bladder cancer diagnosis and might be helpful in designing novel therapies.