Construction of an immune-related gene signature for overall survival prediction and immune infiltration in gastric cancer
作者机构：Department of Medical OncologyCancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China
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：2024年第16卷第3期
页 面：919-932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]
基 金：Beijing CSCO Clinical Oncology Research Foundation No.Y-HH202102-0308
主 题：Differentially expressed immune-related gene Immunotherapy Gastric cancer Risk score
摘 要：BACKGROUND Treatment options for patients with gastric cancer(GC)continue to improve,but the overall prognosis is *** use of PD-1 inhibitors has also brought benefits to patients with advanced GC and has gradually become the new standard treatment option at present,and there is an urgent need to identify valuable biomarkers to classify patients with different characteristics into *** To determined the effects of differentially expressed immune-related genes(DEIRGs)on the development,prognosis,tumor microenvironment(TME),and treatment response among GC patients with the expectation of providing new biomarkers for personalized treatment of GC *** Gene expression data and clinical pathologic information were downloaded from The Cancer Genome Atlas(TCGA),and immune-related genes(IRGs)were searched from *** were extracted from the intersection of the differentially-expressed genes(DEGs)and IRGs *** enrichment pathways of key genes were obtained by analyzing the Kyoto Encyclopedia of Genes and Genomes(KEGGs)and Gene Ontology(GO)*** identify genes associated with prognosis,a tumor risk score model based on DEIRGs was constructed using Least Absolute Shrinkage and Selection Operator and multivariate Cox *** tumor risk score was divided into high-and lowrisk *** entire cohort was randomly divided into a 2:1 training cohort and a test cohort for internal validation to assess the feasibility of the risk *** infiltration of immune cells was obtained using‘CIBERSORT,’and the infiltration of immune subgroups in high-and low-risk groups was *** GC immune score data were obtained and the difference in immune scores between the two groups was *** We collected 412 GC and 36 adjacent tissue samples,and identified 3627 DEGs and 1311 IRGs.A total of 482 DEIRGs were *** analysis showed that DEIRGs were mainly distributed in immunoglobulin complexes,receptor ligand activity,and s
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