• Title of article

    Breast Cancer Interaction Network Concept from Mostly Related Components

  • Author/Authors

    Rezaei-Tavirani, Mostafa Proteomics Research Center - Shahid Beheshti University of Medical Sciences , Zamanian-Azodi, Mona Proteomics Research Center - Shahid Beheshti University of Medical Sciences , Rostami-Nejad, Mohammad Proteomics Research Center - Shahid Beheshti University of Medical Sciences , Bashash, Davood Proteomics Research Center - Shahid Beheshti University of Medical Sciences , Ahmadi, Naybali Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences

  • Pages
    9
  • From page
    1
  • To page
    9
  • Abstract
    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. [GMJ.2019;8:e1298]
  • Keywords
    Breast Neoplasms , Protein Interaction Maps , Algorithms , Gene Ontology
  • Journal title
    Galen Medical Journal (GMJ)
  • Serial Year
    2019
  • Record number

    2500569