Identification of an immune-related gene-based signature to predict prognosis of patients with gastric cancer

作     者：Xiang-Ting Qiu Yu-Cui Song Jian Liu Zhen-Min Wang Xing Niu Jing He 

作者机构：Department of Clinical LaboratoryLinyi Central HospitalLinyi 276400Shandong ProvinceChina Department of Operating RoomLinyi Central HospitalLinyi 276400Shandong ProvinceChina Second Clinical CollegeShengjing Hospital Affiliated to China Medical UniversityShenyang 110004Liaoning ProvinceChina Department of Pediatric SurgeryGuangzhou Women and Children's Medical CenterGuangzhou Medical UniversityGuangzhou 510623Guangdong ProvinceChina 

出 版 物：《World Journal of Gastrointestinal Oncology》 (世界胃肠肿瘤学杂志（英文版）（电子版）)

年 卷 期：2020年第12卷第8期

页      面：857-876页

核心收录：

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

主　　题：Gastric cancer Immune-related genes Tumor microenvironment Immune infiltration Prognosis Signature 

摘      要：BACKGROUND Gastric cancer(GC)is the most commonly diagnosed malignancy *** evidence suggests that it is necessary to further explore genetic and immunological characteristics of *** To construct an immune-related gene(IRG)signature for accurately predicting the prognosis of patients with *** Differentially expressed genes(DEGs)between 375 gastric cancer tissues and 32 normal adjacent tissues were obtained from The Cancer Genome Atlas(TCGA)GDC data ***,differentially expressed IRGs from the ImmPort database were identified for *** univariate survival analysis was used to screen survival-related *** expressed survival-related IRGs were considered as hub *** mutations of hub IRGs were ***,hub IRGs were selected to conduct a prognostic *** operating characteristic(ROC)curve analysis was used to evaluate the prognostic performance of the *** correlation of the signature with clinical features and tumor-infiltrating immune cells was *** Among all DEGs,70 hub IRGs were obtained for *** deletions and amplifications were the two most common types of genetic mutations of hub IRGs.A prognostic signature was identified,consisting of ten hub IRGs(including S100A12,DEFB126,KAL1,APOH,CGB5,GRP,GLP2R,LGR6,PTGER3,and CTLA4).This prognostic signature could accurately distinguish patients into highand low-risk groups,and overall survival analysis showed that high risk patients had shortened survival time than low risk patients(P0.0001).The area under curve of the ROC of the signature was 0.761,suggesting that the prognostic signature had a high sensitivity and *** regression analysis demonstrated that the prognostic signature could become an independent prognostic predictor for GC after adjustment for other clinical ***,we found that the prognostic signature was significantly correlated with macrophage *** Our study pr