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胃癌枢纽基因的筛选和预后分析
引用本文:孙梦雨,邱洁萍,吴之涵,张倩,朱爽秋,陈博. 胃癌枢纽基因的筛选和预后分析[J]. 中国普通外科杂志, 2019, 28(4): 433-400
作者姓名:孙梦雨  邱洁萍  吴之涵  张倩  朱爽秋  陈博
作者单位:(1. 安徽医科大学  第一临床医学院,安徽 合肥 230000;2. 安徽医科大学第一附属医院 胃肠外科,安徽 合肥 230000)
基金项目:国家自然科学基金资助项目(81602425);安徽省省级大学生创新创业训练计划资助项目(1613010222);安徽医科大学高等学校省级质量工程资助项目(2016jyxm0529)。
摘    要:目的:运用生物信息学方法探讨胃癌的预测指标和治疗靶点,并分析其与预后的关系。方法:从基因表达综合(GEO)数据库下载3个微阵列数据集(GSE13911、GSE33651、GSE79973),运用GEO2R筛选出胃癌样本与正常组织样本间的差异表达基因,通过基因本体论(GO)富集分析和京都基因与基因组百科全书(KEGG)分析对差异基因进行功能和通路注释,同时使用STRING和Cytoscape构建蛋白互作网络(PPI),筛选出枢纽基因,结合Kaplan-Meier plotter数据库对筛选出的枢纽基因进行预后分析。结果:共筛选出135个差异表达基因,其中68个上调,67个下调。GO分析结果表明差异表达基因主要参与信号转导、钙离子结合、细胞外外泌体等生物学过程。KEGG分析显示差异基因主要富集的通路包括PI3K/Akt信号通路、ECM受体相互作用、黏着斑。经PPI分析筛选得出COL1A1、COL1A2、COL4A1、FN1、THBS1、CD44、COL2A1、COL4A2、CXCL8、COL5A1为枢纽基因,生存分析显示除THBS1的上调,其余基因的差异表达均影响胃癌患者的总体生存率。结论:所筛选的枢纽基因的异常表达可能参与胃癌的发生发展过程,与胃癌患者的预后密切相关,可以作为潜在的预测指标和治疗靶点为胃癌的进一步研究提供依据。

关 键 词:胃肿瘤;基因表达;预后;计算生物学
收稿时间:2018-10-10
修稿时间:2019-03-19

Identification and prognostic analysis of hub genes in gastric cancer
SUN Mengyu,QIU Jieping,WU Zhihan,ZHANG Qian,ZHU Shuangqiu,CHEN Bo. Identification and prognostic analysis of hub genes in gastric cancer[J]. Chinese Journal of General Surgery, 2019, 28(4): 433-400
Authors:SUN Mengyu  QIU Jieping  WU Zhihan  ZHANG Qian  ZHU Shuangqiu  CHEN Bo
Affiliation:(1. The First College of Clinical Science, Anhui Medical University, Hefei 230000, China; 2. Department of Gastrointestinal Surgery Center, the First Affiliated Hospital of Anhui Medical University, Hefei 230000, China)
Abstract:Objective: To investigate the predictive indicators and therapeutic targets of gastric cancer using bioinformatics approach and analyze the relations of them with prognosis.Methods: Three microarray datasets (GSE13911, GSE33651, GSE79973) were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes between gastric cancer samples and normal tissue samples were screened using GEO2R tools. The functional and pathway annotations of the differentially expressed genes were performed by Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, Meanwhile, the protein-protein interaction network (PPI) was constructed using STRING and Cytoscape to pick up the hub genes, and the relations of the hub genes with prognosis were analyzed using the Kaplan-Meier plotter database. Results: A total of 135 differentially expressed genes were screened, of which 68 were up-regulated and 67 were down-regulated. GO analysis showed that the differentially expressed genes were mainly enriched in biological processes such as signal transduction, calcium ion binding and extracellular exosomes. KEGG analysis revealed that the major enriched pathways of the differentially expressed genes included PI3K/Akt signaling pathways, ECM receptor interactions and focal adhesions. PPI analysis showed that COL1A1, COL1A2, COL4A1, FN1, THBS1, CD44, COL2A1, COL4A2, CXCL8, COL5A1 were the hub genes. Survival analysis showed that except the up-regulation of THBS1, the abnormal expressions of other hub genes were significantly associated with the overall survival of the gastric cancer patients. Conclusion: The abnormal expressions of the screened hub genes may be involved in the development and progression of gastric cancer, and could be closely related to the prognosis of gastric cancer patients. These genes may serve as potential predictors and therapeutic targets for further research of gastric cancer. 
Keywords:Stomach Neoplasms   Gene Expression   Prognosis   Computational Biology
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