Mining of susceptible genes of colon cancer based on GEO

VernacularTitle:基于GEO芯片数据库的结肠癌易感基因挖掘
Author: Yao-Hong ZHONG ¹ ; Qing-Fang HE ; Ying-Jun LI ; Ye DING ; Fang-Yuan JING ; Chun-Hong FAN
Author Information

1. 杭州医学院
Keywords: Colon cancer; Microarray; Differentially expressed gene; Bioinformatics
From: Journal of Preventive Medicine 2017;29(11):1094-1097
CountryChina
Language:Chinese
Abstract: Objective To screen the key genes of colon cancer and to explore the pathogenesis of colon cancer. Methods The expression data were searched from Gene Expression Omnibus (GEO) and the differentially expressed genes were selected by GEO2R. The differentially expressed genes were analyzed by gene ontology (GO) , KEGG pathway and protein-protein interaction networks. Results A total of 324 differentially expressed genes including 61 upregulated genes and 263 downregulated genes were found in more than three GEO series. An analysis of differentially expressed gene pathways revealed that bile secretion, drug metabolism, cytochrome P450, and chemical carcinogenesis were involved in the pathogenesis of colon cancer. Thus 9 key genes were identified, including BMP2, CXCL1, CXCL12, CXCL2, GCG, IL8, MMP1, PHLPP2 and PYY. Conclusion The key genes could be screened by bioinformatics effectively, which might provide the basis for further experimental study.