Drug repurposing for breast cancer treatment using bioinformatics approach

Abstract

Introduction: Breast cancer, which is one of the most common cancers with high mortality in women, has always been the focus of researchers, and every day, scientists are trying to identify mechanisms, genes, and medicines related to this disease. Nowadays, bioinformatics methods are used to identify and repurpose drugs for the treatment of diseases, especially cancer. Material & Methods: In this study, bioinformatics and biological network analysis were used to identify candidate drugs for breast cancer treatment. In this regard, analysis of the protein interaction network and drug-gene network were employed. The needed data were collected from the GEO database with the access code GSE54002. For the selected data set, genes with significant expression changes between two groups of healthy people and people with breast cancer cases were selected and considered primary genes. Thereafter, the protein-protein interaction network was constructed using the STRING database, and a significant gene module was obtained from the network. Following that, gene ontology studies and biological pathways were conducted. Next, the drug-gene network was constructed to identify drugs that target module genes and were introduced as essential drugs for the treatment of breast cancer. Cytoscape software and STRING and OncoDB databases were used to reconstruct and analyze the networks. Results: After analyzing the protein-protein interaction network and the drug-gene network, three important drugs that target the genes of the modules were identified and introduced as candidate drugs for the treatment of breast cancer. These drugs were RG-1530, R-406, and GW441756x. Discussion & Conclusion: The obtained results demonstrated that the introduced drugs (RG-1530, R-406, and GW441756x) can be effective in the treatment of breast cancer

Keywords

• bioinformatics
• breast cancer
• drug-gene network
• protein-protein interaction network