MODELING THE ROLE OF HORMONAL DYNAMICS AND ANTI-HORMONAL THERAPIES IN BREAST CANCER: A MULTIMODAL COMPUTATIONAL FRAMEWORK
Keywords:
Breast cancer; Endocrine therapy; Mathematical modeling; Estrogen receptor; Aromatase inhibitors; Tamoxifen; Treatment resistance; Systems biology; Pharmacokinetics; Computational oncologyAbstract
Breast cancer remains the most prevalent malignancy among women globally, with endocrine therapy representing the cornerstone of treatment for hormone receptor-positive subtypes. However, the emergence of therapeutic resistance poses significant clinical challenges. This narrative review presents a comprehensive computational framework integrating mathematical modeling, systems biology, and clinical pharmacology to understand hormonal dynamics in breast cancer progression and treatment response.
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