Non-canonical AR activity facilitates endocrine resistance in breast cancer

KeeMing Chia1,2, Heloisa Milioli1,2, Neil Portman1,2

  • 1Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.

Endocrine-Related Cancer
|December 18, 2018
PubMed

Insights

Androgen receptor (AR) antagonism inhibits endocrine-resistant breast cancer growth via non-canonical pathways. Enzalutamide effectively targets canonical AR signaling but not the non-canonical activity driving resistance, impacting future clinical trial designs.

Area of Science:

  • Oncology
  • Endocrinology
  • Molecular Biology

Background:

  • The role of androgen receptor (AR) in endocrine-resistant breast cancer remains debated.
  • Clinical trials are exploring AR antagonists like enzalutamide for endocrine-resistant breast cancer.

Purpose of the Study:

  • To investigate the effects of AR antagonism on endocrine-resistant breast cancer models.
  • To differentiate the impact of canonical versus non-canonical AR activity on resistance.

Main Methods:

  • Utilized in vitro models (MCF7-derived tamoxifen-resistant and long-term estrogen-deprived cell lines) and an in vivo patient-derived xenograft (PDX) model.
  • AR antagonism was achieved through siRNA-mediated knockdown and pharmacological inhibition with enzalutamide.
  • Gene expression profiling (microarray) was performed on tamoxifen-resistant cells post-AR knockdown.

Main Results:

  • AR knockdown inhibited endocrine-resistant cell line growth and altered proliferative signaling pathways.
  • AR loss restored sensitivity to tamoxifen in resistant cells.
  • Enzalutamide inhibited canonical AR signaling but did not replicate AR knockdown effects in vitro or inhibit PDX model growth in vivo, suggesting non-canonical AR activity drives resistance.

Conclusions:

  • Non-canonical AR activity plays a crucial role in facilitating endocrine resistance in breast cancer.
  • Enzalutamide's inability to effectively antagonize non-canonical AR activity has significant implications for designing future AR-targeted therapies for endocrine-resistant breast cancer.

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