Identification of Key Genes and Pathways in Colorectal Cancer Gene Expression Profile by Bioinformatics
[1]
Wenzong Lu, Department of Biomedical Engineering, Xi’an Technological University, Xi’an, People’s Republic of China.
[2]
Ning Li, Department of Biomedical Engineering, Xi’an Technological University, Xi’an, People’s Republic of China.
The aim of this study was to identify potential key candidate genes and uncover their potential mechanisms in colorectal cancer. The gene expression profiles of GSE8671, GSE32323 and GSE21510 were downloaded from the GEO database, including 68 colorectal cancer and 74 normal samples. The differentially expressed genes (DEGs) between the two types of samples were identified by R language. The gene ontology functional and pathway enrichment analyses of DEGs were performed using the DAVID software followed by the construction of PPI network. Hub gene identification and pathway enrichment analyses of the modules were performed. The DEGs were mainly involved in cell division and cell proliferation. The top hub genes such as IL8, MYC were identified from the PPI network. Sub-networks revealed hub genes were involved in significant pathways, including chemokine signaling pathway and cell cycle. These hub genes may be used as potential targets for colorectal cancer diagnosis and treatment.
Colorectal Cancer, Bioinformatics Analysis, Network Module, Enrichment Analysis
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