Prognostic risk model construction and prognostic biomarkers identification in esophageal adenocarcinoma based on immune-related long noncoding RNA

作     者：Kai Qin Yi Cheng Jing Zhang Xianglin Yuan Jianhua Wang Jian Bai Kai Qin;Yi Cheng;Jing Zhang;Xianglin Yuan;Jianhua Wang;Jian Bai

作者机构：Department of OncologyTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Obstetrics and GynecologyTongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China 

出 版 物：《Oncology and Translational Medicine》 (肿瘤学与转化医学（英文版）)

年 卷 期：2020年第6卷第3期

页      面：109-115页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：a grant from the Health Commission of Hubei Province Scientific Research Project(No.WJ2019M118) 

主　　题：immune-related Cancer Genome Atlas(lncRNA) prognostic model prognostic biomarker esophageal adenocarcinoma(EAC) Cancer Genome Atlas(TCGA)database 

摘      要：Objective The aim of this study was to construct a prognostic model of esophageal adenocarcinoma(EAC)based on immune-related long noncoding RNAs(immune-related lncRNAs)and identify prognostic biomarkers using the Cancer Genome Atlas(TCGA)*** Whole genomic mRNA expression and clinical data of esophageal adenocarcinoma were obtained from the TCGA *** software Strawberry Perl,R and R packets were used to identify the immune-related genes and lncRNAs of esophageal adenocarcinoma,and for data processing and *** differentially expressed lncRNAs were detected while comparing esophageal adenocarcinoma and normal tissue *** key immune-related lncRNAs were screened using lasso regression analysis and univariate cox regression analysis,and used to construct the prognostic model using multivariate cox regression *** evaluate the accuracy of the risk prognostic model,all esophageal adenocarcinomas were divided into high-risk and low-risk groups according to the median risk score,after which Kaplan-Meier(K-M)survival curves,operating characteristic(ROC)curve and independent prognostic analysis of clinical traits were *** addition,statistically significant immune-related lncRNAs and potential prognostic biomarkers were identified using the prognostic model and multifactor cox regression analysis for k-m survival *** A total of 1322 differentially expressed immune-related lncRNAs were identified,28 of which were associated with prognosis via univariate cox regression *** addition,K-M survival analysis showed that the total survival time of the higher risk group was significantly shorter than that of the lower risk group(P=1.063e-10).The area under the ROC curve of 5-year total survival rate was *** risk score showed independent prognostic risk for esophageal adenocarcinoma via single factor and multifactorial independent prognostic *** addition,the HR and 95%CI of each key immune-related lncRNA