Assessment of colon cancer molecular mechanism: a system biology approach.

ABSTRACT

AIM: The current study aimed to assess and compare colon cancer dysregulated genes from the GEO and STRING databases. BACKGROUND: Colorectal cancer is known as the third most common kind of cancer and the second most important reason for global cancer-related mortality rates. There have been many studies on the molecular mechanism of colon cancer. METHODS: From the STRING database, 100 differentially expressed proteins related to colon cancers were retrieved and analyzed by network analysis. The central nodes of the network were assessed by gene ontology. The findings were compared with a GSE from GEO. RESULTS: Based on data from the STRING database, TP53, EGFR, HRAS, MYC, AKT1, GAPDH, KRAS, ERBB2, PTEN, and VEGFA were identified as central genes. The central nodes were not included in the significant DEGs of the analyzed GSE. CONCLUSION: A combination of different database sources in system biology investigations provides useful information about the studied diseases.