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Comparative study of gastric cancer and chronic gastritis via network analysis

AIM: In this study the significant differentially expressed genes (DEGs) related to gastric cancer (GC) and chronic gastritis were screened to introduce common and distinctive genes between the two diseases. BACKGROUND: Diagnosis of gastric cancer as a mortal disease and chronic gastritis the stomac...

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Autores principales: Mansouri, Vahid, Rezaei Tavirani, Sina, Zadeh-Esmaeel, Mohammad-Mehdi, Rostami-Nejad, Mohammad, Rezaei-Tavirani, Mostafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204252/
https://www.ncbi.nlm.nih.gov/pubmed/30425814
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author Mansouri, Vahid
Rezaei Tavirani, Sina
Zadeh-Esmaeel, Mohammad-Mehdi
Rostami-Nejad, Mohammad
Rezaei-Tavirani, Mostafa
author_facet Mansouri, Vahid
Rezaei Tavirani, Sina
Zadeh-Esmaeel, Mohammad-Mehdi
Rostami-Nejad, Mohammad
Rezaei-Tavirani, Mostafa
author_sort Mansouri, Vahid
collection PubMed
description AIM: In this study the significant differentially expressed genes (DEGs) related to gastric cancer (GC) and chronic gastritis were screened to introduce common and distinctive genes between the two diseases. BACKGROUND: Diagnosis of gastric cancer as a mortal disease and chronic gastritis the stomach disorder which can be considered as risk factor of GCs required safe and effective molecular biomarkers. METHODS: Microarray profiles were downloaded from Gene Expression Omnibus (GEO) and analyzed via GEO2R. The candidate DEGs plus relevant genes from STRING database were interacted by Cytoscape software version 3.6.0 the central nodes were determined and analyzed. RESULTS: JUN, GAPDH, FOS, TP53, PRDM10, VEGFA, and CREB1 as central nodes and TFF1 and ERG1 as the top changed expressed genes were determined as critical nodes related to gastric cancer. GAPDH, PRDM10, TP53, JUN, AKT1, EGFR, MAPK1, EGF, DECR1, and MYC were identified as common remarkable genes between GC and chronic gastritis. CONCLUSION: Identification of distinctive and common genes between GC and chronic gastritis can be useful in the early stage detection of disease and reducing risk of GCs.
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spelling pubmed-62042522018-11-13 Comparative study of gastric cancer and chronic gastritis via network analysis Mansouri, Vahid Rezaei Tavirani, Sina Zadeh-Esmaeel, Mohammad-Mehdi Rostami-Nejad, Mohammad Rezaei-Tavirani, Mostafa Gastroenterol Hepatol Bed Bench Original Article AIM: In this study the significant differentially expressed genes (DEGs) related to gastric cancer (GC) and chronic gastritis were screened to introduce common and distinctive genes between the two diseases. BACKGROUND: Diagnosis of gastric cancer as a mortal disease and chronic gastritis the stomach disorder which can be considered as risk factor of GCs required safe and effective molecular biomarkers. METHODS: Microarray profiles were downloaded from Gene Expression Omnibus (GEO) and analyzed via GEO2R. The candidate DEGs plus relevant genes from STRING database were interacted by Cytoscape software version 3.6.0 the central nodes were determined and analyzed. RESULTS: JUN, GAPDH, FOS, TP53, PRDM10, VEGFA, and CREB1 as central nodes and TFF1 and ERG1 as the top changed expressed genes were determined as critical nodes related to gastric cancer. GAPDH, PRDM10, TP53, JUN, AKT1, EGFR, MAPK1, EGF, DECR1, and MYC were identified as common remarkable genes between GC and chronic gastritis. CONCLUSION: Identification of distinctive and common genes between GC and chronic gastritis can be useful in the early stage detection of disease and reducing risk of GCs. Shaheed Beheshti University of Medical Sciences 2018 /pmc/articles/PMC6204252/ /pubmed/30425814 Text en ©2018 RIGLD, Research Institute for Gastroenterology and Liver Diseases This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Mansouri, Vahid
Rezaei Tavirani, Sina
Zadeh-Esmaeel, Mohammad-Mehdi
Rostami-Nejad, Mohammad
Rezaei-Tavirani, Mostafa
Comparative study of gastric cancer and chronic gastritis via network analysis
title Comparative study of gastric cancer and chronic gastritis via network analysis
title_full Comparative study of gastric cancer and chronic gastritis via network analysis
title_fullStr Comparative study of gastric cancer and chronic gastritis via network analysis
title_full_unstemmed Comparative study of gastric cancer and chronic gastritis via network analysis
title_short Comparative study of gastric cancer and chronic gastritis via network analysis
title_sort comparative study of gastric cancer and chronic gastritis via network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204252/
https://www.ncbi.nlm.nih.gov/pubmed/30425814
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