Integration of gene expression data identifies key genes and pathways in colorectal cancer.
Colorectal cancer (CRC) is one of the most common malignant tumor and prevalent cause of cancer-related death worldwide. In this study, we analyzed the gene expression profiles of patients with CRC with the aim of better understanding the molecular mechanism and key genes in CRC. Four gene expression profiles including, GSE9348, GSE41328, GSE41657, and GSE113513 were downloaded from GEO database. The data were processed using R programming language, in which 319 common differentially expressed genes including 94 up-regulated and 225 down-regulated were identified. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were conducted to find the most significant enriched pathways in CRC. Based on the GO and KEGG pathway analysis, the most important dysregulated pathways were regulation of cell proliferation, biocarbonate transport, Wnt, and IL-17 signaling pathways, and nitrogen metabolism. The protein-protein interaction (PPI) network of the DEGs was constructed using Cytoscape software and hub genes including MYC, CXCL1, CD44, MMP1, and CXCL12 were identified as the most critical hub genes. The present study enhances our understanding of the molecular mechanisms of the CRC, which might potentially be applied in the treatment strategies of CRC as molecular targets and diagnostic biomarkers.
['Hozhabri|Hossein|H|', 'Lashkari|Ali|A|', 'Razavi|Seyed-Morteza|SM|', 'Mohammadian|Ali|A|http://orcid.org/0000-0001-7366-8843']
D015179:Colorectal Neoplasms D019295:Computational Biology D030541:Databases, Genetic D015972:Gene Expression Regulation, Neoplastic D063990:Gene Ontology D006801:Humans D060066:Protein Interaction Maps D015203:Reproducibility of Results D059467:Transcriptome
Colorectal cancer Differentially expressed gene Bioinformatics analysis Microarray