Screening And Analysis Of Defferential Expressed Genes In Hepatocellular Carcinoma Based On GEO Databases

Hepatocellular Carcinoma(HCC)is a common malignant tumor of the gastrointestinal system.The occurrence of liver cancer is closely related with viral infection,inheritance,lifestyle and other factors.At present,the main methods for treating liver cancer are surgical resection,chemotherapy and radiation therapy.Due to the complex mechanisms of HCC,HCC treatment remains difficult.Therefore,it is necessary to investigate the pathogenic mechanisms of HCC and find new molecular targets for the diagnosis and treatment.Herein,we first downloaded three datasets of liver cancer gene expression profiles from GEO databases.Differentially expressed genes(DEGs)were screened with R programming language after standardized pretreatment.After obtaining the protein-protein interaction network(PPI)of DEGs through STRING,the module genes were obtained through the MCODE plug-in module processing with Cytoscape.With further processing by Cytohubba,15 hub genes were identified based on degree scores.Through gene ontology(GO)and KEGG pathway enrichment analysis,we found that these genes were mainly enriched in signal pathways related to cell mitosis,organelle division,and oocyte meiosis.Through survival and expression analysis,it was shown that the over-expression of CDK1、CCNB1、CDC20、BUB1、MAD2L1、BUB1B、AURKB、RRM2、UBE2C resulted in worse overall survival.And the expression of these genes were higher in HCC tissues than in adjacent tissues and normal tissues.Our results indicated that the above hub genes were related to the occurrence and development of HCC,and may be used as biomarkers for diagnosis and prognosis of HCC.