基于焦亡和铁死亡基因构建食管癌预后模型  

Development of an esophageal cancer prognosis model based on pyroptosis and ferroptosis genes

作　　者：孙希野 蒋灿 罗旭 舒佩 王森 周科讯 黄媚娟[1] SUN Xi-Ye;JIANG Can;LUO Xu;SHU Pei;WANG Sen;ZHOU Ke-Xun;HUANG Mei-Juan(Division of Thoracic Tumor Multimodality Treatment and Department of Medical Oncology,Cancer Center,West China Hospital,Sichuan University,Chengdu 610041,China;Department of Cardiology,West China Hospital,Sichuan University,Chengdu 610041,China;Department of Cardiology,Chengdu Shang Jin Nan Fu Hospital,Chengdu 610041,China;Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu 610041,China;University of Chinese Academy of Sciences,Beijing 100049,China;Clinical Trial Center,National Medical Products Administration Key Laboratory for Clinical Research and Evaluation of Innovative Drugs,West China Hospital,Sichuan University,Chengdu 610041,China;Department of Abdominal Tumor Multimodality Treatment,Cancer Center,West China Hospital,Sichuan University,Chengdu 610041,China)

机构地区：[1]四川大学华西医院肿瘤中心胸部肿瘤科,成都610041 [2]四川大学华西医院心内科,成都610041 [3]成都上锦南府医院心内科,成都610041 [4]中国科学院成都计算机应用研究所,成都610213 [5]中国科学院大学,北京100049 [6]四川大学华西医院临床试验中心,成都610041 [7]四川大学华西医院肿瘤中心腹部肿瘤科,成都610041

出　　处：《四川大学学报（自然科学版）》2024年第3期335-345,共11页Journal of Sichuan University(Natural Science Edition)

基　　金：四川大学华西医院临床研究孵化项目重点项目(2021HXFH055)。

摘　　要：为了解并评估食管癌患者的预后,提前预测其疾病进展和生存情况.本研究在基因表达综合数据库(GEO)中收集食管癌相关基因和临床数据,筛选与预后相关的细胞焦亡和铁死亡基因,并利用随机森林算法开发构建食管癌预后风险模型,最终在癌症基因组图谱(TCGA)-ESCA队列中进行验证,同时分析不同风险组肿瘤微环境中免疫细胞的浸润情况.结果显示训练队列中低风险组的生存明显优于高风险组(P<0.05).训练队列中低风险组与高风险组患者相比有更多CD4+T细胞,低风险组中CD8A、GZMB、PRF1的表达水平高于高风险组(P<0.05).以上结果表明基于焦亡和铁死亡基因组学所构建的ESCA预后模型可为食管癌患者的临床治疗提供参考.To understand and assess the prognosis of esophageal cancer patients,predicting disease progres sion and survival,this study collected relevant genes and clinical data associated with esophageal cancer from the Gene Expression Omnibus(GEO)database.Genes related to pyroptosis and ferroptosis were screened,A prognostic risk model for esophageal cancer was developed using the random forest algorithm and validated in The Cancer Genome Atlas(TCGA)-ESCA cohort.Additionally,the infiltration of immune cells in the tumor microenvironment of different risk groups was analyzed.The results revealed that the survival of the lowrisk group in the training cohort was significantly better than that of the high-risk group(P<0.05).Furthermore,the low-risk group in the training cohort had increased CD4+T cells and higher expression levels of CD8A,GZMB,and PRF1(P<0.05)compared to the high-risk group.The above results indicated that the ESCA prognostic model constructed based on pyroptosis and ferroptosis genomics provided important references for the clinical treatment of esophageal cancer patients.

关 键 词：食管癌 焦亡 铁死亡 预后风险模型 公共数据库 

分 类 号：R735.1[医药卫生—肿瘤]