Bioinformatics Analysis Of Differentially Expressed Genes In Hepatocarcinoma Induced By Hepatitis B,Hepatitis C And Alcoholic Liver

Objective:The purpose of this study is to analyze the differential gene expression of hepatocellular carcinoma(HCC)induced by hepatitis B,hepatitis C and alcoholic liver by using the method of bioinformatics,to explore the mechanism of affecting the occurrence and development of HCC,to screen out the key genes related to the survival and prognosis of HCC,and to further provide an important theoretical basis for clinical treatment.Methods:The gene expression profile of GSE62232 was downloaded from Gene Expression Omnibus(GEO),and differential expressed genes(DEGs)were screened by limma package in R software.The differential expression genes(DEGs)were enriched by GO(Gene Ontology)and KEGG(Kyoto Encyclopedia of Genes and Genes)using DAVID database,and the function of the differential expression genes was annotated.The protein protein interaction(PPI)network was constructed by using string online tools for differential expression genes(DEGs).The results were imported into the software of Cytoscape to screen out the keygenes.Finally,the survival package of R software and TCGA database were used to analyze the survival and prognosis of key genes.Results :A total of 827 differentially expressed genes were screened from HBV related HCC,including 309 up-regulated genes and 518 down regulated genes;531 differentially expressed genes,including 187up-regulated genes and 344 down-regulated genes,were screened from HCV related HCC;461 differentially expressed genes,including 139up-regulated genes and 322 down-regulated genes,were screened from alcohol related HCC.There are 355 differentially expressed genes in HCC induced by hepatitis B,hepatitis C and alcoholic liver,including 99up-regulated genes and 256 down regulated genes.The enrichment analysis of GO indicated that DEGs mainly concentrated in the metabolism process,the activity of oxidoreductase,the binding of chromatin,extracellular body,extracellular space,etc.KEGG signaling pathway is mainly enriched in metabolism related pathways,retinol metabolism,chemical carcinogenesis,p53 signaling pathway,etc.In addition,a PPI network with 328 nodes and 1291 edges was constructed,and an important module was screened.The first 10 key genes were selected,which were CDK1,TYMS,CCNB1,CCNA2,MAD2L1,TOP2 A,HHMR,CDKN3,NDC80 and AURKA.Through the analysis of survival prognosis of these 10 key genes,it was found that the expressionlevel of TYMS and CDKN3 genes had no significant difference with the survival time of the patients,while the other 8 genes with high expression group had poor prognosis and short survival time compared with the low expression group.It is suggested that the overexpression of these 8 genes may promote the occurrence and development of HCC,and further explore their mechanism of action,which can provide important theoretical basis and new therapeutic targets for the treatment of HCC.Conclusion:There are 355 differentially expressed genes in HCC induced by hepatitis B,hepatitis C and alcoholic liver,including 99 up-regulated genes and 256 down regulated genes.The process of substance metabolism,oxidoreductase activity,chromatin binding,retinol metabolism,chemical carcinogenesis and p53 signaling pathway may promote the development of HCC.CDK1,CCNB1,CCNA2,MAD2L1,TOP2 A,HHMR,NDC80 and AURKA are closely related to the prognosis of patients with HCC.The prognosis of the high expression group is poor and the survival time is shortened compared with the low expression group.The difference is statistically significant,which can be used as a key gene for the survival and prognosis of HCC.