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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.
Background:
Endocrine therapy is the most important treatment modality of breast cancer patients whose tumors express the estrogen receptor α (ERα). The androgen receptor (AR) is also expressed in the vast majority (80-90%) of ERα-positive tumors. AR-targeting drugs are not used in clinical practice, but have been evaluated in multiple trials and preclinical studies.
Methods:
We performed a genome-wide study to identify hormone/drug-induced single nucleotide polymorphism (SNP) genotype - dependent gene-expression, known as PGx-eQTL, mediated by either an AR agonist (dihydrotestosterone) or a partial antagonist (enzalutamide), utilizing a previously well characterized lymphoblastic cell line panel. The association of the identified SNPs-gene pairs with breast cancer phenotypes were then examined using three genome-wide association (GWAS) studies that we have published and other studies from the GWAS catalog.
Results:
We identified 13 DHT-mediated PGx-eQTL loci and 23 Enz-mediated PGx-eQTL loci that were associated with breast cancer outcomes post ER antagonist or aromatase inhibitors (AI) treatment, or with pharmacodynamic (PD) effects of AIs. An additional 30 loci were found to be associated with cancer risk and sex-hormone binding globulin levels. The top loci involved the genes IDH2 and TMEM9, the expression of which were suppressed by DHT in a PGx-eQTL SNP genotype-dependent manner. Both of these genes were overexpressed in breast cancer and were associated with a poorer prognosis. Therefore, suppression of these genes by AR agonists may benefit patients with minor allele genotypes for these SNPs.
Conclusions:
We identified AR-related PGx-eQTL SNP-gene pairs that were associated with risks, outcomes and PD effects of endocrine therapy that may provide potential biomarkers for individualized treatment of breast cancer.
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.
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