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Breast Cancer Interaction Network Concept from Mostly Related Components
BACKGROUND: Management of breast cancer (BC) as a heterogeneous disease is very challenging. Biomarker discovery has been shown promising for this aim. Protein interaction mapping could provide further knowledge of the vital roles of these markers. MATERIALS AND METHODS: Cytoscape and its plug-ins a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Salvia Medical Sciences Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343932/ https://www.ncbi.nlm.nih.gov/pubmed/34466490 http://dx.doi.org/10.31661/gmj.v8i0.1298 |
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author | Rezaei-Tavirani, Mostafa Zamanian-Azodi, Mona Bashash, Davood Ahmadi, Naybali Rostami-Nejad, Mohammad |
author_facet | Rezaei-Tavirani, Mostafa Zamanian-Azodi, Mona Bashash, Davood Ahmadi, Naybali Rostami-Nejad, Mohammad |
author_sort | Rezaei-Tavirani, Mostafa |
collection | PubMed |
description | BACKGROUND: Management of breast cancer (BC) as a heterogeneous disease is very challenging. Biomarker discovery has been shown promising for this aim. Protein interaction mapping could provide further knowledge of the vital roles of these markers. MATERIALS AND METHODS: Cytoscape and its plug-ins are used for network construction and evaluation. The plug-ins used in this study are STRING, Network Analyzer, GeneMANIA, and CluePedia. RESULTS: The central proteins are enriched in transcription regulatory region DNA binding, regulatory region nucleic acid binding, regulatory region DNA binding, Fc receptor signaling pathway, cell cycle arrest, and immune response-regulating cell surface receptor signaling pathway. CONCLUSION: The introduced biomarkers and their related biological processes may show useful for the breast cancer diagnosis and monitoring; however, has to encounter more validation studies to be clinically applicable. |
format | Online Article Text |
id | pubmed-8343932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Salvia Medical Sciences Ltd
|
record_format | MEDLINE/PubMed |
spelling | pubmed-83439322021-08-30 Breast Cancer Interaction Network Concept from Mostly Related Components Rezaei-Tavirani, Mostafa Zamanian-Azodi, Mona Bashash, Davood Ahmadi, Naybali Rostami-Nejad, Mohammad Galen Med J Original Article BACKGROUND: Management of breast cancer (BC) as a heterogeneous disease is very challenging. Biomarker discovery has been shown promising for this aim. Protein interaction mapping could provide further knowledge of the vital roles of these markers. MATERIALS AND METHODS: Cytoscape and its plug-ins are used for network construction and evaluation. The plug-ins used in this study are STRING, Network Analyzer, GeneMANIA, and CluePedia. RESULTS: The central proteins are enriched in transcription regulatory region DNA binding, regulatory region nucleic acid binding, regulatory region DNA binding, Fc receptor signaling pathway, cell cycle arrest, and immune response-regulating cell surface receptor signaling pathway. CONCLUSION: The introduced biomarkers and their related biological processes may show useful for the breast cancer diagnosis and monitoring; however, has to encounter more validation studies to be clinically applicable. Salvia Medical Sciences Ltd 2019-08-07 /pmc/articles/PMC8343932/ /pubmed/34466490 http://dx.doi.org/10.31661/gmj.v8i0.1298 Text en Copyright© 2019, Galen Medical Journal. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) |
spellingShingle | Original Article Rezaei-Tavirani, Mostafa Zamanian-Azodi, Mona Bashash, Davood Ahmadi, Naybali Rostami-Nejad, Mohammad Breast Cancer Interaction Network Concept from Mostly Related Components |
title | Breast Cancer Interaction Network Concept from Mostly Related Components |
title_full | Breast Cancer Interaction Network Concept from Mostly Related Components |
title_fullStr | Breast Cancer Interaction Network Concept from Mostly Related Components |
title_full_unstemmed | Breast Cancer Interaction Network Concept from Mostly Related Components |
title_short | Breast Cancer Interaction Network Concept from Mostly Related Components |
title_sort | breast cancer interaction network concept from mostly related components |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343932/ https://www.ncbi.nlm.nih.gov/pubmed/34466490 http://dx.doi.org/10.31661/gmj.v8i0.1298 |
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