Abstract
The aim of this research was to find a clear molecular view of dysplasia via network analysis. There are some evidence suggest the relationship between dysplasia and colorectal cancer. Understanding of high-grade dysplasia (HGD) could be beneficial for colon cancer management. Bioinformatics study of HGD versus healthy subjects was conducted to check the status of differentially expressed genes (DEGs). GSE31106, GPL1261, GSM770092-94 and GSM770101-6 were the sources from gene expression omnibus (GEO) that queried for protein-protein interaction (PPI) network analysis via Cytoscape and its algorithms. Hubs of network were enriched for biochemical pathways and were validated via clustering analysis. Numbers of 46 hub nodes were determined and were included in 12 pathways. A main cluster including 76 nodes was identified containing 45 hubs. 33 hubs among 46 genes were involved in biochemical pathways. IL1B, IL6, TNF, and TRL4 were the most important critical genes. Many different genes as hub nodes might influence the trigger and development of advance condition and also colon cancer.
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