Exploring colorectal cancer related genes and their functions based on GEO
Objective To explore the differential expression genes(DEGs)in colorectal cancer(CRC)using bioinfor-matic analysis in combination with the Gene Expression Omnibus(GEO)database.Methods The gene expression data of tumor tissue and normal tissue of CRC patients were obtained from the GEO database.The DEGs were screened using GEO2R,which then underwent GO enrichment analysis using the David database to identify the molecular func-tions,cellular components and biological processes.The signaling pathways of the DEGs were obtained from the KEGG to construct protein interaction network.Topological analysis of key nodes in the network was performed using Cyto-scape software to screen out key genes in the pathogenesis of CRC.Results Through bioinformatic analysis of the GSE21510 dataset,a total of 664 DEGs were screened,including 234 upregulated and 430 downregulated genes,which were mainly involved in the biological processes,such as cell division,positive and negative regulation of RNA poly-merase Ⅱ promoter transcription,as well as in the composition of cellular components,such as the nucleus,cytoplasm,cytosol,plasma,and cell membrane,and in processes such as the expression and realization of molecular functions of protein-binding,ATP-binding,and so on.Protein network analysis identified the upregulated genes,including CDK1,CCNB1,TOP2A,AURKA,UBE2C,BUB1,CHEK1,RRM2,MYC,and TPX2,and the downregulated genes,including SLC26A3,CLCA4,GUCA2A,MS4A12,ZG16,GUCA2B,CLCA1,AQP8,MT1E and MT1G.Survival analysis showed that the low expression of the key gene CCNB1 was significantly correlated with poor prognosis of CRC patients(logrank P<0.01).Moreover,CCNB1 was significantly correlated with tumor pathological stage(P<0.01).Conclusion The screened key genes may become markers or potential targets for the diagnosis or treatment of CRC,which provide theoretical reference for the research on the pathogenesis and treatment of CRC.
NETL
NSTL
万方数据
维普
