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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...

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Autores principales: Rezaei-Tavirani, Mostafa, Zamanian-Azodi, Mona, Bashash, Davood, Ahmadi, Naybali, Rostami-Nejad, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Salvia Medical Sciences Ltd 2019
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.
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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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