Rezaei-Tavirani Mostafa, Zamanian-Azodi Mona, Bashash Davood, Ahmadi Naybali, Rostami-Nejad Mohammad
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Galen Med J. 2019 Aug 7;8:e1298. doi: 10.31661/gmj.v8i0.1298. eCollection 2019.
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.
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.
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.
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.
乳腺癌作为一种异质性疾病，其管理极具挑战性。生物标志物的发现已显示出实现这一目标的潜力。蛋白质相互作用图谱可为这些标志物的重要作用提供更多认识。
利用Cytoscape及其插件进行网络构建和评估。本研究中使用的插件有STRING、网络分析仪、GeneMANIA和CluePedia。
核心蛋白在转录调控区DNA结合、调控区核酸结合、调控区DNA结合、Fc受体信号通路、细胞周期阻滞以及免疫反应调节细胞表面受体信号通路中富集。
引入的生物标志物及其相关生物学过程可能对乳腺癌的诊断和监测有用；然而，必须进行更多验证研究才能应用于临床。
