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
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)
