Advances in Breast Cancer Research: Immunological, Pathological, and Pharmacological Perspectives for Improving Patient Outcomes

Breast cancer remains the most frequently diagnosed malignancy worldwide. Over the past decade, advances in molecular biology have expanded beyond tumor-intrinsic features to encompass the immune microenvironment and patient-specific pharmacogenomic profiles, profoundly reshaping diagnostic, prognostic, and therapeutic paradigms in breast oncology. Owing to rapid technological progress and an expanding therapeutic armamentarium, periodic synthesis of both foundational principles and emerging evidence remains essential for the critical interpretation of ongoing advances. This review provides a comprehensive overview of the contemporary global landscape of breast cancer, integrating developments in diagnosis, risk stratification, and therapeutic innovation. We examine the emerging technologies that are redefining tumor characterization, including digital pathology, artificial intelligence-assisted morphological and molecular analyses, and advanced molecular profiling approaches that increasingly inform prognostic and predictive assessment. We further discuss how these diagnostic frameworks are translating into therapeutic advances, with emphasis on immunotherapy, antibody-drug conjugates, mutation-directed targeted agents, therapeutic vaccines, and bispecific antibodies. Collectively, these developments highlight key translational research priorities, support evidence-based clinical decision-making, and explicitly acknowledge disparities in access and implementation between high-income settings and low- and middle-income countries (LMICs).

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-02-16
DOI
https://doi.org/10.3390/ijms27041902
Primary Topic
AI in cancer detection
Type
article
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article

Advances in Breast Cancer Research: Immunological, Pathological, and Pharmacological Perspectives for Improving Patient Outcomes

Everton Cruz dos Santos, Susanne Crocamo, Eliana Abdelhay
International Journal of Molecular Sciences
AI in cancer detection
article

Advances in Breast Cancer Research: Immunological, Pathological, and Pharmacological Perspectives for Improving Patient Outcomes

Everton Cruz dos Santos, Susanne Crocamo, Eliana Abdelhay
article en

Abstract

Breast cancer remains the most frequently diagnosed malignancy worldwide. Over the past decade, advances in molecular biology have expanded beyond tumor-intrinsic features to encompass the immune microenvironment and patient-specific pharmacogenomic profiles, profoundly reshaping diagnostic, prognostic, and therapeutic paradigms in breast oncology. Owing to rapid technological progress and an expanding therapeutic armamentarium, periodic synthesis of both foundational principles and emerging evidence remains essential for the critical interpretation of ongoing advances. This review provides a comprehensive overview of the contemporary global landscape of breast cancer, integrating developments in diagnosis, risk stratification, and therapeutic innovation. We examine the emerging technologies that are redefining tumor characterization, including digital pathology, artificial intelligence-assisted morphological and molecular analyses, and advanced molecular profiling approaches that increasingly inform prognostic and predictive assessment. We further discuss how these diagnostic frameworks are translating into therapeutic advances, with emphasis on immunotherapy, antibody-drug conjugates, mutation-directed targeted agents, therapeutic vaccines, and bispecific antibodies. Collectively, these developments highlight key translational research priorities, support evidence-based clinical decision-making, and explicitly acknowledge disparities in access and implementation between high-income settings and low- and middle-income countries (LMICs).

International Journal of Molecular SciencesVol. 27(4)
Instituto Nacional de Câncer - INCA (BR)
Openalex Percentile: Top 56%
AI in cancer detection
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