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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2021
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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. |
format | Online Article Text |
id | pubmed-8817753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
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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