Abstract

Breast cancer, a leading cause of cancer-related deaths among women worldwide, presents diverse biological characteristics that necessitate personalized treatment approaches. Traditional treatments have limitations in efficacy and side effects management, especially in heterogeneous tumor profiles. Tailored medicine, grounded in genomic profiling, offers a promising pathway for individualized therapy, aiming to enhance outcomes and minimize adverse effects. This article explores the advancements in genomic profiling technologies and personalized treatment strategies for breast cancer. It discusses the clinical implications of genomic data, the role of targeted therapies,
the integration of artificial intelligence in treatment planning, and the challenges in implementing precision oncology. The future directions emphasize the need for continued research, robust clinical trials, and comprehensive patient stratification to achieve the full potential of personalized breast cancer treatment.