Decoding Breast Cancer Complexity: Insights into Pathogenesis and Emerging Treatment Approaches
Breast cancer remains a leading cause of mortality among women globally, characterized by uncontrolled epithelial cell proliferation within breast tissue. This malignancy exhibits a range of histological subtypes, including invasive ductal and lobular carcinomas, and poses significant challenges in public health due to its complex biology and diverse clinical manifestations. Epidemiological data show higher incidence rates in developed countries, with genetic mutations in BRCA1 and BRCA2 notably increasing susceptibility. Hormonal influences and environmental factors further complicate risk assessment. The pathogenesis of breast cancer involves genetic and epigenetic alterations leading to malignant transformation, with critical molecular pathways such as HER2/neu and PI3K/AKT/mTOR playing pivotal roles. The metastatic process is facilitated by mechanisms including epithelial-to-mesenchymal transition (EMT) and extracellular matrix (ECM) degradation, with heparanase and integrins significantly contributing to metastasis. Recent advancements in circulating tumor cell (CTC) analysis offer promising insights into early detection and monitoring of metastasis. Tumor-induced pre-metastatic niches and angiogenesis also play crucial roles in the metastatic cascade. Despite progress in treatment strategies, including chemotherapy, hormone therapy, and targeted therapies, metastatic breast cancer remains challenging to cure. Ongoing research aims to enhance early detection, refine therapeutic approaches, and improve patient outcomes.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-21
- DOI
- https://doi.org/10.5281/zenodo.13356607
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00