| Objective:To screen differentially expressed genes between liver cancer tissues and normal liver tissues by bioinformatics methods,to study the expression of BIRC5 in liver cancer,and to analyze the correlation between BIRC5 expression and clinical pathological characteristics of patients,and to explore the correlation between BIRC5 and prognosis of liver cancer.Methods:1.Obtain the whole genome expression profile data of hepatocellular carcinoma from the human cancer and tumor gene atlas(TCGA)database and screen out differentially expressed genes(DEG).Then perform gene ontology(GO)enrichment analysis,Kyoto gene and genome encyclopedia(KEGG)pathway analysis,protein interaction(PPI)network analysis and Oncomine database analysis on these DEG,so as to screen out the potential target genes for hepatocellular carcinoma treatment.The single gene expression data of BIRC5 were extracted,and the expression differences of BIRC5 in liver cancer and adjacent tissues were analyzed and compared.2.Download the clinical data set of hepatocellular carcinoma in TCGA,analyze the correlation between BIRC5 expression and clinicopathological features and prognosis of liver cancer patients,and explore the relevant signal pathways involved in BIRC5 in liver cancer through GSEA analysis.Results:1.A total of 3603 differentially expressed genes in hepatocellular carcinoma were screened out in TCGA database,including 3302 up-regulated genes and 301 down-regulated genes.Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis of the first 100 significantly different up-regulated and down-regulated genes show that these genes are mainly concentrated in sister chromatid cohesion,mitotic nuclear division,cell division and other biological processes,as well as cell cycle,oocyte meiosis,progesterone-mediated oocyte maturation pathway,p53 signal pathway and HTLv-1 infection.The differential gene protein interaction network was analyzed by string online software,and the Degree algorithm of cytoHubble plug-in in Cytoscape software was used to screen out the top 20 key genes,namely CDK1,CDC20,CCNB2,CCNB1,BUB 1,BUB1B,KIF2C,PLK1,AURKB,CDCA8,CENPF,NDC80,CENPE,BIRC5,KIF20A,TOP2A,ASPM,UBE2C,DLGAP5,AURKA.Oncomine database analysis excluded the genes with statistical differences from the existing researches and research results,and obtained that BIRC5 had obvious expression differences in liver cancer and various tumors.The difference scatter plot and paired difference plot drawn by R software confirmed that the expression of BIRC5 in liver cancer tissues was higher than that in adjacent tissues.2.By analyzing the clinical data of hepatocellular carcinoma in TCGA database,it is concluded that the high expression of BIRC5 in hepatocellular carcinoma is significantly correlated with age(P=0.036),histological grade(P=4.606E07),TNM stage(P=4.759E05),tumor size and invasion degree(P=1.173E04),and adverse prognosis(P=2.938E04).Survival analysis showed that the high expression of BIRC5 gene was related to the poor prognosis of liver cancer.Univariate and multifactorial Cox analysis showed that high expression in BIRC5 was an independent risk factor affecting the prognosis of liver cancer(P=0.0004;HR=2.799;95%CI:1.589-4.928).Gene enrichment analysis(GSEA analysis)showed that BIRC5 high expression can promote cell cycle,DNA replication,bladder cancer,P53 and other signal pathways,but can inhibit complement and coagulation cascade,PPAR and other signal pathways.Conclusion:The expression level of BIRC5 in liver cancer tissues is significantly higher than that in normal liver tissues.The high expression level of BIR C5 is correlated with the poor prognosis of liver cancer patients and is an independent risk factor affecting the prognosis of liver cancer.It is suggested that BIRC5 may be a therapeutic target for liver cancer. |
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