A correlation analysis between survival rate and the characteristic gene of gastric cancer based on bioinformatics

doi:10.12092/j.issn.1009-2501.2019.08.002

Abstract

Abstract:

AIM: To investigate the possible mechanism of gastric cancer by analyzing the differences of gene modules and key pathways in gastric cancer patients, then look for effective treatment based on the feature genes. METHODS: Gene expression profiles of the gastric cancer in GEO database were selected. We used GEO2R tools to identify differential expression genes (DEGs) and String database was employed to conduct visualization analysis for protein-protein interaction (PPI) network.Then, the PPI network was imported into the Cytoscape software to find key nodes.After that, we employed the DAVID database to enrich and annotate the pathway and the interactions with key modules.RESULTS:Our study found 63 characteristic genes of gastric cancer, involved in regulation of extracellular matrix receptor interaction and PI3K-AKT signal pathway. ITGB1, COL1A2 were key nodal proteins which related to tumor proliferation and metastasis, and their expression were strongly associated with poor survival (P<0.05). CONCLUSION: Our study employs bioinformatics method from various perspectives to define the gene expression characteristics of gastric cancer which will provide a theoretical basis for the new target of gastric cancer.

Key words: gastric cancer, bioinformatics, differential gene, protein-protein interaction network, gene enrichment and annotation

CLC Number:

LIU Yujia, LI Li, HU Xiaoping, ZHONG Like, LI Jingjing, HUANG Ping, ZHANG Yiwen. A correlation analysis between survival rate and the characteristic gene of gastric cancer based on bioinformatics[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2019, 24(8): 852-859.

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