安徽医科大学学报2025，Vol.60Issue(12)：2215-2226,12.DOI:10.19405/j.cnki.issn1000-1492.2025.12.004
胃癌铁死亡相关基因预后模型及实验验证
Prognostic model of ferroptosis-related genes in gastric cancer and experimental validation
摘要
Abstract
Objective To identify ferroptosis-related genes associated with gastric cancer prognosis and investigate their potential molecular functions.Methods Gene expression profiles and clinical information of gastric cancer tissues and adjacent normal tissues were obtained from TCGA database.Differential expression analysis of ferropto-sis-related genes was performed using the"DESeq2"package in R software.Key genes were identified and a prog-nostic model for gastric cancer was constructed through Cox regression analysis based on the LASSO algorithm.Pa-tients were stratified into high-risk and low-risk groups according to the median risk score.The accuracy of the model was evaluated using Kaplan-Meier survival analysis and ROC curve analysis.Immune cell infiltration in gas-tric cancer patients was assessed with the"CIBERSORT"package.The mRNA expression of differentially ex-pressed genes(DEGs)with prognostic significance was examined in both gastric cancer and adjacent normal tissue samples.In vitro experiments were conducted to validate the impact of hydroxycarboxylic acid receptor 1(HCAR1)on the malignant biological behavior of gastric cancer.Results Based on ferroptosis-related genes from the TCGA database,a novel prognostic model was constructed.It demonstrated robust predictive power for survival in both training and validation cohorts.RT-qPCR analysis of 8 pairs of gastric cancer and normal tissues revealed that the expression patterns of 6 prognostic DEGs in cancer tissues were consistent with those predicted by the model.In vitro experiments confirmed that downregulation of the key gene HCAR1 could inhibit the proliferation,invasion,and metastasis of gastric cancer cells.Conclusion The ferroptosis-related gene based prognostic model exhibits ro-bust predictive capability,allowing for accurate determination of prognosis and survival in individuals with gastric cancer.关键词
胃癌/铁死亡相关基因/TCGA数据库/预后模型/免疫微环境/生物标志物Key words
gastric cancer/ferroptosis-related genes/TCGA database/prognostic model/immune microenviron-ment/biomarkers分类
医药卫生引用本文复制引用
张钊,田洪军,丁克硕,朱勇,林峰,杨思佳,王文斌..胃癌铁死亡相关基因预后模型及实验验证[J].安徽医科大学学报,2025,60(12):2215-2226,12.基金项目
国家自然科学基金青年项目(编号:82203866) （编号:82203866）
国家自然科学基金孵育计划项目(编号:2023GMFY02) （编号:2023GMFY02）
安徽省教育厅重点项目(编号:2024AH050802) （编号:2024AH050802）
安徽省转化医学研究所重点项目(编号:2022zhyx-B08) （编号:2022zhyx-B08）
安徽医科大学"早期接触科研"项目(编号:2023-ZQKY-114) National Natural Science Foundation of China(No.82203866) （编号:2023-ZQKY-114）
Incubation Program of National Natural Science Foundation of China(No.2023GMFY02) （No.2023GMFY02）
Natural Science Research Project of Anhui Educational Committee(No.2024AH050802) （No.2024AH050802）
Research Project of Anhui Provincial Institute of Translational Medicine(No.2022zhyx-B08) （No.2022zhyx-B08）
"Early Exposure to Research"Training Program for Clinical Medicine at Anhui Medical Universi-ty(No.2023-ZQKY-114) （No.2023-ZQKY-114）
