Open AccessBreast Cancer Interaction Network Concept from Mostly Related Components
Author(s) -
Mostafa RezaeiTavirani,
Mona Zamanian Azodi,
Davood Bashash,
Naybali Ahmadi,
Mohammad Rostami-Nejad
Publication year - 2019
Publication title -
galen medical journal
Language(s) - English
Resource type - Journals
ISSN - 2322-2379
DOI - 10.31661/gmj.v8i0.1298
Subject(s) - computational biology , breast cancer , transcription factor , signal transduction , biomarker , cancer , medicine , nucleic acid , dna , bioinformatics , biology , microbiology and biotechnology , gene , genetics
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.