结肠癌相关生物标记物和信号通路的生物信息学筛选  

Identification of Candidate Biomarkers and Pathways in Colon Cancer by Bioinformatics Analysis

作　　者：向梦[1] 张婷[1] 张宗泽[1] XIANG Meng;ZHANG Ting;ZHANG Zongze(Department of Operating Anesthesiology,Zhongnan Hospital of Wuhan University,Wuhan（430071)

机构地区：[1]武汉大学中南医院麻醉手术科,430071

出　　处：《胃肠病学》2018年第8期466-471,共6页Chinese Journal of Gastroenterology

摘　　要：背景:结肠癌是最常见的恶性肿瘤之一,生物信息学方法能有效挖掘基因芯片数据,筛选结肠癌相关的候选生物标记物。目的:使用生物信息学方法并结合肿瘤公共数据库的分析来筛选结肠癌可能的生物标记物。方法:从GEO数据库中下载GSE44861基因表达谱,以R软件"limma"包筛选差异表达基因,行GO和KEGG分析,并构建蛋白质-蛋白质相互作用(PPI)网络,选择核心模块并验证核心基因。结果:芯片GSE44861包含来自肿瘤和癌旁正常组织的111个结肠组织。在结肠癌组织中筛选出367个差异表达基因,包括123个上调基因和244个下调基因。GO和KEGG分析显示,差异表达基因分别在生物过程和15条KEGG通路中富集。PPI网络模块鉴定出6个核心基因,结肠癌组织中CXCL1、CXCL3表达升高,CXCL12、LPAR1、PYY、SST表达降低,与验证集GSE44076、Oncomine数据库、GEPIA数据库的验证结果一致。结论:本研究所鉴定的差异表达基因和核心基因可促进对结肠癌分子机制的理解,并且可能成为结肠癌诊断和治疗的分子生物标记物。Background： Colon cancer is one of the most commonly seen malignant tumors. Bioinformatics analysis is an effective technology for microarray data mining and could screen the candidate biomarkers for colon cancer. Aims： To identify candidate biomarkers in colon cancer using bioinformatics analysis combined with the analysis of common database of tumors. Methods： The gene expression profiles of GSE44861 were downloaded from GEO database. Differentially expressed genes（ DEGs） were screened by ＂limma＂R package,and GO and KEGG analyses were performed. Proteinprotein interaction（ PPI） network of DEGs was constructed,hub genes were identified and validated. Results： The gene expression profiles of GSE44861 included 111 samples of colon tumor tissues and adjacent noncancerous tissues. A total of 367 DEGs,including 123 up-regulated genes and 244 down-regulated genes were screened in colon cancer tissues. GO and KEGG analyses showed that the DEGs were significantly enriched in biological process and 15 KEGG pathways,respectively. Six hub genes were identified by PPI network,expressions of CXCL1,CXCL3 were significantly increased in colon cancer tissue while expressions of CXCL12,LPAR1,PYY and SST were significantly decreased,and these results were validated by validation set GSE44076,Oncomine database and GEPIA database. Conclusions： Our study suggests that the identified DEGs and hub genes promote the understanding of molecular mechanisms underlying the development of colon cancer,and might be used as molecular biomarkers for the diagnosis and treatment of colon cancer.

关 键 词：结肠肿瘤 生物信息学 微阵列分析 生物学标记 

分 类 号：R735.35[医药卫生—肿瘤]