利用加权基因共表达网络分析构建食管腺癌预后枢纽基因网络  

Construction of prognostic hub gene network of esophageal adenocarcinoma by weighted gene co-expression network analysis

作　　者：陈超[1] 童国俊[2] 张建斌[3] 沈亮[4] 何焕钟[1] CHEN Chao;TONG Guojun;ZHANG Jianbin(Department of Anesthesiology,Huzhou Central Hospital,Huzhou 313000,China)

机构地区：[1]湖州市中心医院麻醉科,313000 [2]湖州市中心医院精准医学临床研究中心,313000 [3]湖州市中心医院胸外科,313000 [4]湖州市中心医院神经外科,313000

出　　处：《浙江医学》2019年第20期2181-2184,I0005,共5页Zhejiang Medical Journal

基　　金：湖州市公益性研究项目（2018GY10）;浙江省实验动物科技计划项目(2018C37090)

摘　　要：目的 利用加权基因共表达网络分析(WGCNA)构建食管腺癌预后枢纽基因网络,筛选与食管腺癌预后相关的枢纽基因.方法 提取癌症和肿瘤基因图谱计划(TCGA)数据库中食管腺癌的标本数据,利用WGCNA匹配基因表达数据与临床预后数据,构建食管腺癌的基因共表达网络模块,并筛选出与预后最相关的模块和枢纽基因,再根据共表达权重系数大小在Cytoscape软件中进行可视化.结果 共获得9例正常食管组织和78例食管腺癌的标本,其中男67例,女11例;年龄28.0~86.6[68.4(58.0,77.1)]岁;TNM分期:Ⅰ期10例,ⅡA期9例,ⅡB期16例,Ⅲ期33例,Ⅳ期10例.共筛选得到的多个模块中深蓝色模块与预后最相关,在深蓝色模块中识别出19个枢纽基因(PAQR8、MAMDC4、CEP44、SCRG1、UGT2B15、NUDT9、FOLH1、SFTPB、FBXO8、TENM1、CASR、NEB、SMIM19、SLC20A2、RNF170、SCN2A、GOLIM4、ICK、DNAH2),并构建了枢纽基因的共表达网络.其中基因间共表达权重系数最大的3对基因分别是FOLH1和SCRG1、FOLH1和UGT2B15、FOLH1和SFTB.结论 利用WGCNA可识别与食管腺癌预后相关的枢纽基因,为食管腺癌的治疗提供新靶点.Objective To construct a prognostic hub gene network for esophageal adenocarcinoma with weighted gene co-expression analysis(WGCNA).Methods We extracted the specimen data of esophageal adenocarcinoma in the TCGA database,and used the WGCNA method matching the gene expression data with clinical prognostic data to construct a gene co-expression network module for esophageal adenocarcinoma.The modules and hub genes most relevant to prognosis were screened out,and then visualized according to the size of expression weights in Cytoscape software.Results Nice normal esophageal tissue specimens and 78 esophageal adenocarcinoma specimens were obtained from 67 males and 11 females patients aged 28.0~86.6[68.4(58.0,77.1)]years,among whom there were 10 cases in stage Ⅰ,9 cases in stageⅡA,16 cases in stageⅡB,33 cases in stageⅢand 10 cases in stageⅣ.The midnight blue module in multiple modules screenings was the most relevant to prognosis.Nineteen hub genes were identified in the midnight blue module(PAQR8,MAMDC4,CEP44,SCRG1,UGT2B15,NUDT9,FOLH1,SFTPB,FBXO8,TENM1,CASR,NEB,SMIM19,SLC20A2,RNF170,SCN2A,GOLIM4,ICK,DNAH2),and a co-expression network of hub genes was constructed.The three pairs of genes with the largest coexpression weight coefficient were FOLH1 and SCRG1,FOLH1 and UGT2B15,FOLH1 and SFTB.Conclusion WGCNA can be used to identify the hub genes associated with the prognosis of esophageal adenocarcinoma,providing a new target for the treatment of esophageal adenocarcinoma.

关 键 词：食管腺癌 加权基因共表达网络分析 预后 

分 类 号：R73[医药卫生—肿瘤]