Identification of critical genes to predict recurrence and death in colon cancer: integrating gene expression and bioinformatics analysis.
Background
The purpose of this study was to screen the critical genes for future diagnosis and treatment of colon cancer by bioinformatics method.


Methods
In this study, we used bioinformatics approaches to identify gene alteration that contribute to colon cancer progression via analysis of TCGA RNA sequencing data and other publicly GEO microarray data. The Random forest survival model was used to screen gene sets related to the prognosis in DEGs. Gene ontology and KEGG pathway enrichment analysis were performed to determine the potential function of DEGs.


Results
We identified versican (VCAN), a member of the aggrecan/versican proteoglycan family, as a key regulator in human colon cancer development and progression involved in cell adhesion, proliferation, migration and angiogenesis and plays a central role in tissue morphogenesis and maintenance. Interestingly, we found that VCAN is highly over-expressed in colon cancer and increased expression of VCAN was associated with the progression of colon cancer. High VCAN levels also predict shorter overall survival of colon cancer patients. Furthermore, in vitro assays of silencing VCAN inhibit HCT116 cell proliferation and invasion.


Conclusions
These data demonstrated VCAN were associated with tumorigenesis and may be as biomarker for identification of the pathological grade of colon cancer.
['Long|Xuan|X|', 'Deng|Zhigang|Z|', 'Li|Guoqiang|G|', 'Wang|Ziwei|Z|']
Colon cancer VCAN Biomarker