TL;DR
This review provides a comprehensive overview of the major metabolic pathways that are dysregulated in TNBC and their relevance to disease progression and therapeutic intervention, highlighting the integration of artificial intelligence and machine learning approaches.
This framework integrates evidence level, disease stage, biomarker reliability and patient tolerance into treatment selection for TNBC precision therapy and distinguish them from maturing or exploratory strategies such as pathway-directed therapy, epigenetic modulation, anti-vascular combinations, regulated cell-death...
INTRODUCTION Triple-negative breast cancers (TNBCs) are a type of breast cancer (BC) characterized by the absence of ER, PR, and HER2 expression. They account for 10-15% of invasive BC cases and are known for being aggressive and highly metastatic. TNBC patients face limited effective treatment options due to the inher...
The stratification of TNBC patients on their molecular subtype needs to be more widely adopted, and a calculated combination of current and emerging strategies is needed to effectively address TNBC in the clinic.
This comprehensive review highlights BMBC resistance mechanisms, drawing from preclinical models, clinical studies, and genomic analyses, and highlights the potential for personalized, multi-targeted approaches to improve patient outcomes in BMBC.
This review provides a comprehensive overview of current and emerging biomarkers in TNBC, focusing on their role in the era of neoadjuvant chemo-immunotherapy and the challenges of integrating emerging biomarkers into routine clinical practice.
This review summarizes the current knowledge on breast cancer, including its epidemiology, anatomy and biology, etiological factors, molecular pathogenesis, diagnostic approaches, and clinically relevant biomarkers, while highlighting recent advances in antibody-drug conjugates, PARP inhibitors, nanotechnology-based dr...
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