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Analyzing the Androgen Receptor Interactome in Prostate Cancer: Implications for Therapeutic Intervention

期刊

CELLS
卷 11, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/cells11060936

关键词

androgen deprivation therapy; hormonal therapy; transcription; coactivators; corepressors; proteomics

资金

  1. National Cancer Institute [CA166440, CA248048]

向作者/读者索取更多资源

The androgen receptor (AR) plays a crucial role in male phenotype development and diseases, including prostate cancer. Therapeutic approaches targeting the interaction between AR and its ligands show promise, but face challenges. Understanding the 3D structure of AR complexes and protein interaction sites is essential for developing effective interventions.
The androgen receptor (AR) is a member of the ligand-activated nuclear receptor family of transcription factors. AR's transactivation activity is turned on by the binding of androgens, the male sex steroid hormones. AR is critical for the development and maintenance of the male phenotype but has been recognized to also play an important role in human diseases. Most notably, AR is a major driver of prostate cancer (CaP) progression, which remains the second leading cause of cancer deaths in American men. Androgen deprivation therapies (ADTs) that interfere with interactions between AR and its activating androgen ligands have been the mainstay for treatment of metastatic CaP. Although ADTs are effective and induce remissions, eventually they fail, while the growth of the majority of ADT-resistant CaPs remains under AR's control. Alternative approaches to inhibit AR activity and bypass resistance to ADT are being sought, such as preventing the interaction between AR and its cofactors and coregulators that is needed to execute AR-dependent transcription. For such strategies to be efficient, the 3D conformation of AR complexes needs to be well-understood and AR-regulator interaction sites resolved. Here, we review current insights into these 3D structures and the protein interaction sites in AR transcriptional complexes. We focus on methods and technological approaches used to identify AR interactors and discuss challenges and limitations that need to be overcome for efficient therapeutic AR complex disruption.

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