Malekpour Habib, Heidari Mohammad Hossein, Vafaee Reza, Moravvej Farshi Hamideh, Khodadoostan Mahsa
Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Student Research Committee, Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterol Hepatol Bed Bench. 2018 Winter;11(Suppl 1):S111-S117.
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.
本研究旨在通过网络分析对发育异常形成清晰的分子认识。
有一些证据表明发育异常与结直肠癌之间存在关联。了解高级别发育异常（HGD）可能有助于结肠癌的管理。
对HGD患者与健康受试者进行生物信息学研究，以检查差异表达基因（DEG）的状态。GSE31106、GPL1261、GSM770092 - 94和GSM770101 - 6是来自基因表达综合数据库（GEO）的数据源，通过Cytoscape及其算法对其进行蛋白质 - 蛋白质相互作用（PPI）网络分析。网络枢纽富集了生化途径，并通过聚类分析进行验证。
确定了46个枢纽节点，并包含在12条途径中。识别出一个包含76个节点的主要聚类，其中有45个枢纽。46个基因中的33个枢纽参与了生化途径。IL1B、IL6、TNF和TRL4是最重要的关键基因。
许多不同的基因作为枢纽节点可能会影响进展期疾病以及结肠癌的触发和发展。
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