Androgen receptor-mediated pharmacogenomic expression quantitative trait loci: implications for breast cancer

Huanyao Gao1, Lixuan Wei1, Shreya Indulkar1

  • 1Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street Southwest, Rochester, MN, 55905, USA.

PubMed
Abstract

Insights

This study identifies androgen receptor (AR) related genetic markers that influence breast cancer endocrine therapy outcomes. These findings may lead to personalized treatment strategies for patients with estrogen receptor-positive tumors.

Area of Science:

  • Genomics
  • Endocrinology
  • Oncology

Background:

  • Estrogen receptor alpha (ERα)-positive breast cancer treatment relies on endocrine therapy.
  • Androgen receptor (AR) is present in most ERα-positive tumors, yet AR-targeting drugs are not standard clinical practice.
  • Previous trials and studies have explored AR-targeting drugs.

Purpose of the Study:

  • To identify single nucleotide polymorphism (SNP) genotype-dependent gene expression (PGx-eQTL) influenced by AR signaling.
  • To investigate the association of identified PGx-eQTLs with breast cancer phenotypes and endocrine therapy outcomes.
  • To explore potential biomarkers for personalized breast cancer treatment.

Main Methods:

  • Genome-wide study to identify PGx-eQTLs mediated by dihydrotestosterone (DHT) or enzalutamide (Enz).
  • Utilized a characterized lymphoblastic cell line panel.
  • Examined associations with breast cancer phenotypes using published genome-wide association studies (GWAS) and GWAS catalog data.

Main Results:

  • Identified 13 DHT-mediated and 23 Enz-mediated PGx-eQTL loci associated with breast cancer outcomes and aromatase inhibitor (AI) pharmacodynamics.
  • Discovered 30 additional loci linked to cancer risk and sex-hormone binding globulin levels.
  • Top loci involved IDH2 and TMEM9, with DHT suppressing their expression in a genotype-dependent manner; overexpression correlated with poorer prognosis.

Conclusions:

  • Identified AR-related PGx-eQTL SNP-gene pairs associated with endocrine therapy risks, outcomes, and pharmacodynamic effects.
  • These findings suggest potential biomarkers for tailoring breast cancer endocrine therapy.
  • AR signaling and genotype-dependent gene expression are critical factors in breast cancer treatment response.