ABSTRACT
Colorectal cancer (CRC) is a heterogeneous disease with various genetic and epigenetic factors leading to difficulties in response to both the therapy and drug resistance. Moreover, even in tumors with similar histopathological characteristics, different responses and molecular features could be observed because of the genetic basis and its interactions with the living environment. Through personalized medicine, we can classify patients into separate groups according to their genetic and epigenetic features and their susceptibility for a specific disease which could help with choosing the best therapeutic approach. In this review, genetic and epigenetic factors that cause heterogeneity in colorectal cancer are evaluated and proper drug administration in both chemotherapy and target therapy are suggested.
ABSTRACT
AIM: In the present study, genes of Ulcerative Colitis and Colon Adenocarcinoma (COAC) were extracted by string App in Cytoscape software version 3.5.1. Then protein- protein interaction (PPI) networks analyzed. BACKGROUND: One of the most common chronic digestive problems is ulcerative colitis (UC) especially in developing countries. Prevalence of the disease is reported about 7.6 to 245 cases per 100,000 per year. UC can lead to colon cancer that is the third malignancy related death in the world. So awareness of the future of the patient with UC and the possibility of colon cancer is a very helpful approach. METHODS: The analysis was based on centralities values. The goal is determining common gene pathways and differential gene pathways of the two diseases. RESULTS: Results showed there are 11 and 29 central genes related to COAC and UC respectively. At least five common key genes between the two diseases were introduced. The number of 26 terms related to the common key genes were determined and clustered in seven clusters. CONCLUSION: ALB, AKT1, TP53, SRC and MYC are the common genes that play crucial roles in the related biological processes of UC and COAC. Besides introducing the common genes the differentiate genes related to the two diseases were proposed.
ABSTRACT
AIM: The aim of this study was to provide a biomarker panel for esophageal, gastric and colorectal cancers. It can help introducing some diagnostic biomarkers for these diseases. BACKGROUND: Gastrointestinal cancers (GICs) including esophageal, gastric and colorectal cancers are the most common cancers in the world which are usually diagnosed in the final stages and due to heterogeneity of these diseases, the treatments usually are not successful. For this reason, many studies have been conducted to discover predictive biomarkers. METHODS: In the present study, 507 genes related to esophageal, gastric and colon cancers were extracted.. The network was constructed by Cytoscape software (version 3.4.0). Then a main component of the network was analyzed considering centrality parameters including degree, betweenness, closeness and stress. Three clusters of the protein network accompanied with their seed nodes were determined by MCODE application in Cytoscape software. Furthermore, Gene Ontology (GO) analysis of the key genes in combination to the seed nodes was performed. RESULTS: The network of 17 common differential expressed genes in three esophageal, gastric and colon adenocarcinomas including 1730 nodes and 9188 edges were constructed. Eight crucial genes were determined. Three Clusters of the network were analyzed by GO analysis. CONCLUSION: The analyses of common genes of the three cancers showed that there are some common crucial genes including TP53, EGFR, MYC, AKT1, CDKN2A, CCND1 and HSP90AA1 which are tightly related to gastrointestinal cancers and can be predictive biomarkers for these cancers.
