Evaluating The Microrna-Target Gene Regulatory Network In Renal Cell Carcinomas, Identification For Potential Biomarkers And Critical Pathways

Variant microRNA (miRNA) expression is a character of many cancer types. The combined analysis of miRNA and messenger RNA (mRNA) expression profiles is crucial to identifying links between deregulated miRNAs and oncogenic pathways. The aim of this study was to screen several novel genes associated with renal cell carcinoma (RCC), and analyze the gene functions and signal pathways which were critical to RCCs with DNA microarray. The gene expression profile of GSE6344 was downloaded from Gene Expression Omnibus database, including 10 RCC samples and 10 healthy controls. Compared with the control samples, differentially expressed genes (DEGs) of RCC was identified. The selected DEGs were further analyzed using bioinformatics methods. Gene ontology (GO) enrichment analysis was performed using Gene Set Analysis Toolkit and protein-protein interaction (PPI) network was constructed with prePPI. Then, pathway enrichment analysis to PPI network was performed using WebGestalt software. We found that a total of 521 DEGs were down-regulated and 473 DEGs were up-regulated in RCC samples compared to healthy controls. A total of 15 remarkable enhanced functions and 17 suppressed functions were identified. PPI nodes of high degrees, such as RHCG, RALYL, SLC4A1, UMOD and CA9, were obtained. The DEGs were classified and significantly enriched in cytokine and cytokine receptor pathway. The hub genes we find from RCC samples are not only biomarkers, but also may provide the groundwork for a combination therapy approach for RCCs.