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Network analysis of common genes related to esophageal, gastric, and colon cancers

Padina Vaseghi Maghvan, Mostafa Rezaei –Tavirani, Hakimeh Zali, Abdolrahim Nikzamir, Saeed Abdi, Mahsa Khodadoostan, Hamid Asadzadeh-Aghdaei




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.

Keywords: Colon cancer, Gastric cancer, Esophageal cancer, Gene ontology, Biomarker.


Keywords: Colon cancer, Gastric cancer, Esophageal cancer, Gene ontology, Biomarker candidate



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DOI: https://doi.org/10.22037/ghfbb.v0i0.1212