Abstract:


Breast cancer is the most commonly diagnosed cancer and the second cause of cancer related deaths among women and one million new cases of the disease diagnose annually. Determine the type and stage of the tumor and appropriate treatment and regular investigations to prevent or detect the disease recurrence have great importance. One of the biggest and most important challenges in the treatment of cancer, is early detection. biomarkers can be easily detected in the early stages of disease and before metastasis. These biomarkers are present in tumor tissue or body fluids and contain a variety of molecules including gene transcripts and small RNA molecules (MicroRNA) that their expression can be altered in many tumors compare to normal tissue. Their expression can be well charachteristic of cancer type, stage and other pathologic variables associated with the disease. So trying to find a sensitive and non-invasive biomarker for the diagnosis of breast cancer continues. Following these efforts, In this study, a few matrix metalloproteases expression profiles associated with breast cancer and related MicroRNAs through Bioinformatics softwares in serum and tissue of mice were quantified by qRT-PCR at different times and in response to conventional treatments such as tumor resection, radiotherapy and chemotherapy.