摘要
Objective:To search and analyze the related genes of liver hepatocellular carcinoma(LIHC)by using bioinformatics technology.Methods:Gene expression omnibus(GEO)was used to retrieve the entry of"Liver hepatocellular carcinoma",and GSE109903 chip data was downloaded.The differentially expressed genes in the control group and liver hepatocellular carcinoma group were screened by bioinformatics analysis.GO enrichment analysis,KEGG pathway analysis,differential gene expression analysis and visualization processing were performed for the differentially expressed genes;Protein interaction network analysis and visualization processing were used to screen core genes EEF1A1 and HK2 with strong correlation with liver hepatocellular carcinoma.GEPIA,Kaplan-Meier plotter,GeneMANIA and Timer 2.0 databases were used to analyze the differential expression,prognostic value and immune cell infiltration of key genes in LIHC.Results:A total of 1059 differentially expressed genes were screened,including 637 up-regulated genes and 872 downregulated genes.Functional analysis showed that differentially expressed genes were mainly involved in the process of positive transcription regulation,nucleosome function,chromatin function and RNA binding.Pathway analysis showed that differentially expressed genes were involved in systemic lupus erythematosus,alcoholism and RNA polymerase I promoter opening pathway.The analysis of differential gene expression showed that the drugs with similar gene characteristics were mainly CDC inhibitors,prostaglandins,serotonin receptor antagonists,BAF transcriptional repression inhibitors,tyrosine phosphatase inhibitors,etc;Protein interaction network analysis showed that the main genes associated with LIHC were EEF1A1,HK2,FAM38A and LAMB3;EEF1A1 and HK2 genes were further analyzed by GEPIA.The results showed that the expression of EEF1A1 and HK2 mRNA in LIHC tissues was higher than that in normal tissues,and was significantly correlated with the pathological stage,overall survival rate and disease-free survival rate of LIHC patients.EEF1A1 and HK2 may be potential prognostic biomarkers for LIHC patients.In addition,the functions of EEF1A1 and HK2 were mainly related to translation factor activity,molecular chaperone mediated autophagy and carbohydrate catabolism,and purine nucleoside diphosphate metabolism,respectively.Immunocyte infiltration showed that the expression of EEF1A1 and HK2 was significantly correlated with the infiltration of a variety of immune cells,including six types of immune cells:CD4+T cells,macrophages,neutrophils,B cells,CD8+T cells and dendritic cells.Conclusion:By screening differentially expressed genes,we can identify the key genes in the development of liver hepatocellular carcinoma,and screen potential prognostic biomarkers for the survival of patients with liver hepatocellular carcinoma.At the same time,this study provides new ideas and programs for clinical treatment of liver hepatocellular carcinoma.
基金
supported by National Natural Science Foundation of China(No.81603418)。
