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Screening and Verifying Key Genes with Poor Prognosis in Colon Cancer Through Bioinformatics Analysis by Buyuan Dong; Mengyu Chai; Hao Chen; Qian Feng; Rong Jin; Sunkuan Hu is a Medicine article available to read on EtoBox.

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## Background Colon cancer (CC) is one of the tumors with high morbidity and mortality in the world, and has a trend of younger generation. The molecular level of CC has not been fully elaborated. The purpose of this study is to screen and identify important genes with poor prognosis and their mechanisms at different levels. ## Methods GSE74602 and GSE10972 gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. There were 58 normal tissues and 58 CC tissues. Differentially expressed genes (DEGs) were screened out by using the GEO2R tool and Venn diagram. Then, the DAVID online database was used to perform the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Six hub genes with the highest correlation were screened out after the modular analysis of the protein-protein interaction (PPI) network by using Cytoscape’s MCODE plug-in. Finally, the overall survival of key hub genes and potential pathways were verified in GEPIA and UALCAN database. ## Results A total of 78 up-regulated DEGs were enriched in the mitotic nuclear division, cell division, cell proliferation, anaphase-promoting complex-dependent

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Author

Buyuan Dong; Mengyu Chai; Hao Chen; Qian Feng; Rong Jin; Sunkuan Hu

Publisher

AME Publishing Company

Published

2020

Language

EN

Field

Medicine (Health Sciences)