The present study aimed to investigate the modular mechanisms underlying breast cancer and identify potential targets for breast cancer treatment. The differentially expressed genes (DEGs) between breast cancer and normal cells were assessed using microarray data obtained from the Gene
Expression Omnibus database. Gene ontology (GO) and pathway enrichment analyses were performed in order to investigate the functions of these DEGs. Subsequently, the proteinprotein interaction (PPI) network was constructed using the Cytoscape software. The identified subnetworks were further
analyzed using the Molecular Complex Detection plugin. In total, 571 genes (241 upregulated and 330 downregulated genes) were found to be differentially expressed between breast cancer and normal cells. The GO terms significantly enriched by DEGs included cell adhesion, immune
response and extracellular region, while the most significant pathways included focal adhesion and complement and coagulation cascade pathways. The PPI network was established with 273 nodes and 718 edges, while fibronectin 1 (FN1, degrees score, 39), interleukin 6 (IL6;
degree score, 96) and cFos protein (degree score, 32) were identified as the hub proteins in subnetwork 2. These dysregulated genes were found to be involved in the development of breast cancer. The FN1, IL6 and FOS genes may therefore be potential targets in the treatment of breast cancer.
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Document Type: Research Article
Department of Oncology, The People's Hospital of Linyi Economic and Technological Development Zone, Linyi, Shandong 276023, P.R. China
Department of Histological Embryology, Shandong Medical College, Linyi, Shandong 276000, P.R. China
Publication date: August 1, 2015
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Molecular Medicine Reports is a monthly, peer-reviewed journal available in print and online, that includes studies devoted to molecular medicine, underscoring aspects including pharmacology, pathology, genetics, neurosciences, infectious diseases, molecular cardiology and molecular surgery. In vitro and in vivo studies of experimental model systems pertaining to the mechanisms of a variety of diseases offer researchers the necessary tools and knowledge with which to aid the diagnosis and treatment of human diseases.
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