Common genetic variation in CYP17A1 and response to abiraterone acetate in patients with metastatic castration-resistant prostate cancer

Moritz Binder, Ben Y. Zhang, David W. Hillman, Rhea Kohli, Tanvi Kohli, Adam Lee, Manish Kohli

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Treatment with abiraterone acetate and prednisone (AA/P) prolongs survival in metastatic castration-resistant prostate cancer (mCRPC) patients. We evaluated the genetic variation in CYP17A1 as predictive of response to AA/P. A prospective collection of germline DNA prior to AA/P initiation and follow-up of a mCRPC cohort was performed. Five common single-nucleotide polymorphisms (SNPs) in CYP17A1 identified using a haplotype-based tagging algorithm were genotyped. Clinical outcomes included biochemical response and time to biochemical progression on AA/P. Logistic regression was used to assess the association between tag SNPs and biochemical response. Proportional hazards regression was used to assess the association between tag SNPs and time to biochemical progression. Odds or hazard ratio per minor allele were estimated and p-values below 0.05 were considered statistically significant. Germline DNA was successfully genotyped for four tag SNPs in 87 patients. The median age was 73 years (54–90); the median prostate-specific antigen was 66 ng/dL (0.1–99.9). A single SNP, rs2486758, was associated with lower odds of experiencing a biochemical response (Odds ratio 0.22, 95% confidence interval 0.07–0.63, p = 0.005) and a shorter time to biochemical progression (Hazard ratio 2.23, 95% confidence interval 1.39–3.56, p < 0.001). This tag SNP located in the promoter region of CYP17A1 will need further validation as a predictive biomarker for AA/P therapy.

Original languageEnglish (US)
Article number1097
JournalInternational journal of molecular sciences
Volume17
Issue number7
DOIs
StatePublished - Jul 2016

Keywords

  • Abiraterone acetate
  • CYP17A1
  • Metastatic castration-resistant prostate cancer
  • Predictive biomarker
  • Single nucleotide polymorphism

ASJC Scopus subject areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

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