Integrative Bioinformatics Analysis Reveals Potential Target Genes and PTEN Signaling in Breast Cancer and Effect of Zingiber officinale (Ginger) and Allium sativum (Garlic) extract on It

Abstract

Introduction: Breast cancer is the most common type of cancer in women. The construction of a competing gene network is an important step in the identification of the role of hub genes in breast cancers. In the current research, we used a number of bioinformatics tools to construct this network in breast cancer and investigated the combined effect of garlic and ginger on mice model of breast cancer. Materials and Methods: We chose female mice weighing 18-20 g that were divided into 7 groups including; the cancer group receiving normal saline, different doses of ginger extract (100 and 500 mg/kg), different doses of garlic (50 and 100 mg/kg), tamoxifen (10 mg/ kg) and simultaneous garlic (100 mg/kg) and ginger (500 mg/kg) for 3 weeks intraperitoneal. Then we anesthetized the mice, isolated the tumor, and determined its size. Glutathione reductase and peroxidase levels and HER2, PTEN, and Cullin3 genes expression were measured. Results: We identified 20 hub genes for breast cancer. In animal phase we found that tumor size in all mice receiving garlic and ginger showed a significant decrease compared to the control. Glutathione reductase showed a significant increase in all groups, especially in ginger 500 and combined groups. Glutathione peroxidase increased almost in all groups, especially in ginger 500. Expression of HER2 decreased in all treated groups. Expression of PTEN increased just in the combined group. Conclusion: Taken together, we introduce a number of novel promising diagnostic biomarkers for breast cancer. The use of garlic and ginger in the treatment of cancer can be useful. This action is probably through the antioxidant mechanism, and regulation of the expression of cancer related genes such as PTEN.