Personalized Medicine: Strategies for prognosis and treatment of breast cancer
Personalized Medicine: Strategies for prognosis and treatment of breast cancer
Sara Atashafrooz,1,*Dorsa Bagheri,2Alieh Abdolrezaie,3
1. Department of Biology, Falavarjan Branch, Islamic Azad University, Isfahan, Iran. 2. Department of Biology, Falavarjan Branch, Islamic Azad University, Isfahan, Iran.
Introduction: Breast cancer is known as one of the most common cancers in the world. Today, prognosis of this disease and timely treatment is possible using molecular methods. Also, personalized methods can be an effective method in the rapid diagnosis of breast cancer. Increased accuracy and confidence in determining the treatment method, it leads to a more definite result in improving the disease. Therefore, the purpose of this research is to investigate the results of personalized breast cancer treatment.
Methods: In this review article, clinical information related to personalized medical treatments and breast cancer has been extracted from reliable scientific sources and articles.
Results: Results: Clinical studies have shown that breast cancer is characterized by estrogen receptor (ER), progesterone receptor (PR) and Ki-67 (a prognostic and predictive protein marker) biomarkers. There are also hormone receptor tests:, potential for helper chemotherapy), and human epidermal receptor 2 (HER2), to diagnose this cancer. But due to the errors in these methods for diagnosis and current treatment methods, the quality of life of these patients has decreased, and the development of personalized medicine with techniques such as gene expression profiling in optimizing the selection of drugs for treatment and improving the quality of life These patients have a significant impact.
Conclusion: Breast cancer has always been challenging, and misdiagnosis and treatments done with past methods have many side effects. Therefore, personalized medicine has improved the process of prognosis, prevention and treatment in these patients due to its extraordinary potential in determining the personal genetic causes of the
Keywords: Personalized Medicine, Breast Cancer, Cancer Prognosis, Cancer Treatment.