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Assessment of colon cancer molecular mechanism: a system biology approach

AIM: The current study aimed to assess and compare colon cancer dysregulated genes from the GEO and STRING databases. BACKGROUND: Colorectal cancer is known as the third most common kind of cancer and the second most important reason for global cancer-related mortality rates. There have been many st...

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Autores principales: Arjmand, Babak, Khodadoost, Mahmood, Jahani Sherafat, Somayeh, Rezaei Tavirani, Mostafa, Ahmadi, Nayebali, Hamzeloo Moghadam, Maryam, Rezaei Tavirani, Sina, Khanabadi, Binazir, Iranshahi, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817753/
https://www.ncbi.nlm.nih.gov/pubmed/35154602
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author Arjmand, Babak
Khodadoost, Mahmood
Jahani Sherafat, Somayeh
Rezaei Tavirani, Mostafa
Ahmadi, Nayebali
Hamzeloo Moghadam, Maryam
Rezaei Tavirani, Sina
Khanabadi, Binazir
Iranshahi, Majid
author_facet Arjmand, Babak
Khodadoost, Mahmood
Jahani Sherafat, Somayeh
Rezaei Tavirani, Mostafa
Ahmadi, Nayebali
Hamzeloo Moghadam, Maryam
Rezaei Tavirani, Sina
Khanabadi, Binazir
Iranshahi, Majid
author_sort Arjmand, Babak
collection PubMed
description AIM: The current study aimed to assess and compare colon cancer dysregulated genes from the GEO and STRING databases. BACKGROUND: Colorectal cancer is known as the third most common kind of cancer and the second most important reason for global cancer-related mortality rates. There have been many studies on the molecular mechanism of colon cancer METHODS: From the STRING database, 100 differentially expressed proteins related to colon cancers were retrieved and analyzed by network analysis. The central nodes of the network were assessed by gene ontology. The findings were compared with a GSE from GEO. RESULTS: Based on data from the STRING database, TP53, EGFR, HRAS, MYC, AKT1, GAPDH, KRAS, ERBB2, PTEN, and VEGFA were identified as central genes. The central nodes were not included in the significant DEGs of the analyzed GSE. CONCLUSION: A combination of different database sources in system biology investigations provides useful information about the studied diseases.
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spelling pubmed-88177532022-02-11 Assessment of colon cancer molecular mechanism: a system biology approach Arjmand, Babak Khodadoost, Mahmood Jahani Sherafat, Somayeh Rezaei Tavirani, Mostafa Ahmadi, Nayebali Hamzeloo Moghadam, Maryam Rezaei Tavirani, Sina Khanabadi, Binazir Iranshahi, Majid Gastroenterol Hepatol Bed Bench Original Article AIM: The current study aimed to assess and compare colon cancer dysregulated genes from the GEO and STRING databases. BACKGROUND: Colorectal cancer is known as the third most common kind of cancer and the second most important reason for global cancer-related mortality rates. There have been many studies on the molecular mechanism of colon cancer METHODS: From the STRING database, 100 differentially expressed proteins related to colon cancers were retrieved and analyzed by network analysis. The central nodes of the network were assessed by gene ontology. The findings were compared with a GSE from GEO. RESULTS: Based on data from the STRING database, TP53, EGFR, HRAS, MYC, AKT1, GAPDH, KRAS, ERBB2, PTEN, and VEGFA were identified as central genes. The central nodes were not included in the significant DEGs of the analyzed GSE. CONCLUSION: A combination of different database sources in system biology investigations provides useful information about the studied diseases. Shaheed Beheshti University of Medical Sciences 2021 /pmc/articles/PMC8817753/ /pubmed/35154602 Text en ©2021 RIGLD, Research Institute for Gastroenterology and Liver Diseases https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://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
Arjmand, Babak
Khodadoost, Mahmood
Jahani Sherafat, Somayeh
Rezaei Tavirani, Mostafa
Ahmadi, Nayebali
Hamzeloo Moghadam, Maryam
Rezaei Tavirani, Sina
Khanabadi, Binazir
Iranshahi, Majid
Assessment of colon cancer molecular mechanism: a system biology approach
title Assessment of colon cancer molecular mechanism: a system biology approach
title_full Assessment of colon cancer molecular mechanism: a system biology approach
title_fullStr Assessment of colon cancer molecular mechanism: a system biology approach
title_full_unstemmed Assessment of colon cancer molecular mechanism: a system biology approach
title_short Assessment of colon cancer molecular mechanism: a system biology approach
title_sort assessment of colon cancer molecular mechanism: a system biology approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817753/
https://www.ncbi.nlm.nih.gov/pubmed/35154602
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