摘要
目的:通过生物信息学筛选与结直肠癌转移相关的关键基因,研究关键基因与结直肠癌生存预后的关系,并评估其作为生物标志物的预测价值。方法:从Gene Expression Omnibus(GEO)数据库筛选出GSE68468和GSE81558的表达谱,分析结直肠癌原发性肿瘤与转移性肿瘤之间差异表达的基因(Differentially expressed genes,DEGs)。构建了DEGs的蛋白质-蛋白质相互作用(protein-protein interaction,PPI)网络找出核心基因等。结果:本研究纳入两个GEO数据集(GSE68468和GSE81558),筛选出95个DEGs,其中上调的基因76个,下调的基因19个。从PPI网络中筛选出26个与结直肠癌远处转移相关的核心基因。并进一步分析出TTR,AHOP,APOC3,PLG与总生存率(overall survival,OS)有显著相关性。结论:通过生物信息学方法筛选与结直肠癌转移密切相关的核心基因,为探索新的干预治疗措施提供理论依据。
Objective:To screen key genes associated with colorectal cancer metastasis by bioinformatics to study the relationship between key genes and survival prognosis of colorectal cancer,and to evaluate their predictive value as biomarkers.Methods:The Expression profiles of GSE68468 and GSE81558 were screened from the Gene Expression Omnibus(GEO)database to analyze the Differentially expressed genes(DEGs)between primary colorectal cancer tumors and metastatic tumors.The protein-protein interaction(PPI)network of DEGs was constructed to find the core genes.Results:In this study,two GEO data sets(GSE68468 and GSE81558)were included,and 95 DEGs were selected,including 76 up-regulated genes and 19 down-regulated genes.26 core genes associated with distant metastasis of colorectal cancer were screened from PPI network.It was further analyzed that TTR,AHOP,APOC3,and PLG were significantly correlated with overall survival(OS).Conclusions:Bioinformatics methods are used to screen for core genes that are closely related to colorectal cancer metastasis,providing a theoretical basis for exploring new interventions.
作者
吴骁
高振远
苏方
张甜甜
王俊斌
WU Xiao;GAO Zhen-yuan;SU Fang;ZHANG Tian-tian;WANG Jun-bin(The First Affiliated Hospital of Bengbu Medical College,Bengbu,Anhui 233000)
出处
《赣南医学院学报》
2020年第4期366-372,共7页
JOURNAL OF GANNAN MEDICAL UNIVERSITY
基金
蚌埠医学院自然科学重点项目(编号:BYKY2019081ZD)。