基于生物信息学对胃癌生存预后相关基因的分析  

Analysis of genes related to survival and prognosis of gastric cancer based on Bioinformatics

作　　者：刘丽丽[1] 朱芳来 LIU Li-li;ZHU Fang lai(Department of Gastroenterology,Anqing first people's Hospital Affiliated to Anhui Medical University,Anqing 246000,China)

机构地区：[1]安徽医科大学附属安庆市第一人民医院消化内科,安徽安庆246000

出　　处：《吉林医学》2022年第8期2078-2083,共6页Jilin Medical Journal

摘　　要：目的:通过生物信息学方法对胃癌芯片数据集进行分析,获得与胃癌生存预后相关的基因。方法:从NCBI GEO数据库下载与胃癌相关的数据集GSE19826、GSE29998、GSE54129、GSE79973,利用R软件对数据集进行差异分析并整合,获取差异表达基因,利用DAVID、String、KM-Plot等在线分析网站对差异表达基因进行功能分析、蛋白质间相互作用以及与胃癌预后的关系,利用Cytoscape对分析结果进行可视化处理,得出候选关键基因13个:FNDC1、CTHRC、COL1A1、COL1A2、COL6A3、COL10A1、INHBA、SULF1、SFRP4、BGN、THBS2、THY1、TIMP1。结果:通过对四个芯片数据集进行差异分析及整合后获得上调基因21个,下调基因27个,这些差异表达基因大多富集于细胞外基质、内质网腔等,主要参与胶原蛋白分解、细胞黏附等生物学功能,涉及蛋白质的消化与吸收通路、细胞外基质通路、局部黏附通路以及细胞色素P450代谢通路;并且筛选出的关键基因均与胃癌的预后有关。结论:生物信息学方法可以有效、大规模地分析并获得与胃癌生存预后相关的关键基因,为癌症的诊断及治疗提供了新的方向。Objective To analyze the genes related to the survival prognosis of gastric cancer through gastric cancer chip dataset by bioinformatics method.Method The datasets related to gastric cancer were downloaded from NCBI GEO database GSE19826,GSE29998,GSE54129,GSE79973.The datasets were analyzed and integrated by R software to obtain differentially expressed genes,and online analysis websites DAVID,String,KM-Plot were using to analyzes the function of differentially expressed genes,including the interaction between proteins and the relationship with the prognosis of gastric cancer.The results of the analysis are visualized by Cytoscape,and 13 candidate key genes are obtained:FNDC1,CTHRC,COL1 A1,COL1 A2,COL6 A3,COL10 A1,INHBA.,SULF1,SFRP4,BGN,THBS2,THY1,TIMP1.Results Through the differential analysis and integration of the four chip datasets,21 up-regulated genes and 27 down-regulated genes were obtained.Most of these differentially expressed genes were enriched in extracellular matrix,endoplasmic reticulum,mainly involved in collagen decomposition.Biological functions such as cell adhesion,involving protein digestion and absorption pathway,extracellular matrix pathway,local adhesion pathway and cytochrome P450 metabolic pathway;and selected the key genes related to the prognosis of gastric cancer.Conclusion Bioinformatics methods can effectively and massively analyze and obtain key genes related to the survival and prognosis of gastric cancer,which provides a new direction for the diagnosis and treatment of cancer.

关 键 词：胃癌 生物信息学 预后 基因 

分 类 号：R735.2[医药卫生—肿瘤]