Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis

作     者：Li Wang Wei-Hua Gong 

作者机构：Department of EmergencyThe Second Affiliated Hospital of Zhejiang University School of MedicineHangzhou 310000Zhejiang ProvinceChina Department of SurgeryThe Second Affiliated Hospital Zhejiang University School of MedicineHangzhou 310052Zhejiang 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：2024年第16卷第5期

页      面：2018-2037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：Ferroptosis Gastric cancer Helicobacter pylori infection Immune checkpoint protein Prognostic model Ferroptosis-related gene prognostic index 

摘      要：BACKGROUND Gastric cancer(GC)is a common malignancy of the digestive *** to global 2018 cancer data,GC has the fifth-highest incidence and the thirdhighest fatality rate among malignant *** than 60%of GC are linked to infection with Helicobacter pylori(***),a gram-negative,active,microaerophilic,and helical *** parasite induces GC by producing toxic factors,such as cytotoxin-related gene A,vacuolar cytotoxin A,and outer membrane ***,or iron-dependent programmed cell death,has been linked to GC,although there has been little research on the link between *** infection-related GC and *** To identify coregulated differentially expressed genes among ferroptosis-related genes(FRGs)in GC patients and develop a ferroptosis-related prognostic model with discrimination *** Gene expression profiles of GC patients and those with ***-associated GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus(GEO)*** FRGs were acquired from the FerrDb database.A ferroptosis-related gene prognostic index(FRGPI)was created using least absolute shrinkage and selection operator–Cox *** predictive ability of the FRGPI was validated in the GEO ***,we verified the expression of the hub genes and the activity of the ferroptosis inducer FIN56 in GC cell lines and *** Four hub genes were identified(NOX4,MTCH1,GABARAPL2,and SLC2A3)and shown to accurately predict GC and ***-associated *** FRGPI based on the hub genes could independently predict GC patient survival;GC patients in the high-risk group had considerably worse overall survival than did those in the low-risk *** FRGPI was a significant predictor of GC prognosis and was strongly correlated with disease ***,the gene expression levels of common immune checkpoint proteins dramatically increased in the highrisk subgroup of the FRGPI *** hub genes were also conf