Bioinformatics Prediction and In Vitro Analysis Revealed That mi R ‐17 Targets Cyclin D 1 m RNA in Triple Negative Breast Cancer Cells

Breast cancer is one of the most prevalent malignancies among women worldwide. Triple negative breast cancer ( TNBC ) is a type of breast cancer in which estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 ( HER ‐2) are not expressed. There is no targeted therapy for this type of cancer, and available therapies have poor therapeutic effects. Performing a preliminary research, we selected cyclin D 1 ( CCND 1 ) gene of W nt signaling pathway which is a target of mi RNA s, a promising set of biomolecules in diagnosis and treatment of breast cancer. In this study using bioinformatic analyses, mi R ‐17 was selected as it targets the 3′ UTR of CCND 1 gene with the highest score. Luciferase assay results also confirmed the bioinformatic prediction. Decreased expression of mi R ‐17 in MDA ‐ MB ‐231 cell line was observed using q RT ‐ PCR method. After lentiviral transduction of mi R ‐17 to the target cells, gene expression analysis showed decreased expression of CCND 1 gene. We found mi R ‐17 as an attractive molecule that after intensive research can probably be used as a biomarker in TNBC .