ReviewCurrent oncology (Toronto, Ont.)2026
The Role of Androgen Receptor and Antiandrogen Therapy in Breast Cancer: A Scoping Review.
Review in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is a complex and highly heterogeneous disease, and its management is increasingly moving towards the principles of precision medicine. In this context, the androgen receptor (AR) has emerged as a promising therapeutic target, particularly within the challenging subgroup of triple-negative breast cancers (TNBCs) that express it. This scoping review provides a comprehensive and detailed analysis of the multifaceted role of AR in breast cancer. We delve into its intricate molecular structure, its differential function in ER-positive vs. TNBC subtypes, and the detailed molecular mechanisms that govern its activity. We provide a thorough examination of the landmark clinical trials with antiandrogen agents, including not only enzalutamide but also other first- and second-generation compounds, and discuss the emerging data on their efficacy. Furthermore, we will explore the critical challenges that hinder their widespread clinical adoption, such as primary and acquired resistance mechanisms, the need for robust predictive biomarkers, and the heterogeneity of AR expression. Finally, we outline future research directions, focusing on novel combination therapies and the development of next-generation agents and predictive tools to optimize patient selection and improve clinical outcomes.
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