摘要
目的:筛选影响胃癌肿瘤突变负荷(TMB)高低的关键差异基因,为胃癌的诊治提供新思路。方法:本研究数据均下载自癌症和肿瘤基因图谱(TCGA)数据库,并通过R软件进行数据分析。我们对高、低TMB组进行差异基因分析、基因本体(GO)富集分析、京都基因与基因组百科全书(KEGG)信号转导途径分析和蛋白质-蛋白质相互作用(PPI)网络构建。结果:本研究在高低负荷差异基因分析总共发现491个差异基因。GO富集分析主要集中在生物过程(BP)、细胞成分(CC)和分子功能(MF)3个方面。KEGG信号转导通路分析主要包括26个信号转导通路。PPI分析共筛选出了7个最为关键的Hub基因。结论:发现影响胃癌的肿瘤突变负荷高低的最为关键Hub差异基因MYH11、TAC1、ALB、DMD、FGFR1、IGF1和AOX1,其中AOX1为首次发现,这有望为胃癌治疗方式的选择提供新思路。
Objective:To screen for key differential genes that affect the Tumor Mutation Burden(TMB)level in gastric cancer,thus providing new ideas for the diagnosis and treatment of gastric cancer.Methods:All study data for this study were downloaded from The Cancer Genome Atlas(TCGA)database,and data analysis was performed by R software.We performed differential gene analysis,Gene Ontology(GO)enrichment analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)signal transduction pathway analysis,and Protein-Protein Interaction(PPI)network construction for the high and low TMB groups.Results:A total of 491 differential genes were identified in the high and low load differential gene analysis,and the GO enrichment analysis focused on three aspects:Biological Process(BP),Cellular Component(CC),and Molecular Function(MF).KEGG signaling pathway analysis mainly included 26 signaling pathways.The PPI analysis screened the 7 most critical Hub genes.Conclusion:This study identified the most critical Hub differential genes MYH11,TAC1,ALB,DMD,FGFR1,IGF1,and AOX1 that affect the tumor mutation load of gastric cancer,among which AOX1 is the first discovery,which is expected to provide new ideas for the selection of gastric cancer treatment.
作者
安覃景
刘丽
李晓松
AN Tanjing;LIU Li;LI Xiaosong(Laboratory Department,Shijingshan Teaching Hospital of Capital Medical University&Beijing Shijingshan Hospital,Beijing City 100043)
出处
《医学理论与实践》
2023年第23期3972-3974,3971,共4页
The Journal of Medical Theory and Practice
基金
北京市石景山区医学重点扶持专科建设
北京市重大疫情防治重点专科培育项目
北京市石景山医院院级科研项目(sjsky-202204)。
关键词
肿瘤突变负荷
胃癌
免疫反应
差异基因
TCGA
Tumor mutational burden
Gastric cancer
Immune response
Differential genes
TCGA