Integrate and analyze the RNA-Seq and CNV data of gastric cancer to find the driver genes of gastric cancer

• 1、North China Electric Power University,Beijing,102200
• 2、North China Electric Power University，Beijing,102200

Abstract：【Objective】To find driving genes and signal pathways that cause the occurrence and development of gastric cancer ,in order to provide possible targets for targeted therapy of gastric cancer.【Methods】Download RNA-Seq and DNA copy number variation data of gastric cancer from TCGA, use Perl script and the edgR package in R language to screen out genes that are differentially expressed and have copy number variation. Then perform gene function enrichment analysis and pathway analysis of the selected genes. After then upload the enriched genes to the String database to generate a protein interaction network (PPI), and then separate dense sub-networks with high binding degree from the PPI network. Finally, combined with MalaCards disease database to construct the core network of gastric cancer, and then find genes whose differential expression is positively correlated with gene copy number.【Results】This paper screened a total of 26 gastric cancer driving groups, as well as PI3K-Akt signaling pathway, ECM-receptor interaction, Wnt signaling pathway, gastric acid secretion and other signaling pathways that may be related to the occurrence and development of gastric cancer. Provide potential targets for the diagnosis and treatment of gastric cancer.

Keywords： Bioinformatical Gastric cancer Targeted therapy DNA copy number variation Protein protein interaction network