1. Genetic polymorphisms in androgen receptor-binding sites predict survival in prostate cancer patients receiving androgen-deprivation therapy.
- Author
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Huang CN, Huang SP, Pao JB, Chang TY, Lan YH, Lu TL, Lee HZ, Juang SH, Wu PP, Pu YS, Hsieh CJ, and Bao BY
- Subjects
- Aged, Androgen Antagonists therapeutic use, Genotype, Humans, Kaplan-Meier Estimate, Male, Neoplasm Staging, Prognosis, Proportional Hazards Models, Prostatic Neoplasms drug therapy, Prostatic Neoplasms mortality, Response Elements genetics, Arrestins genetics, Phosphoproteins genetics, Polymorphism, Single Nucleotide, Prostatic Neoplasms genetics, Receptors, Androgen genetics, Vascular Endothelial Growth Factor Receptor-1 genetics
- Abstract
Background: Activated androgen receptor binds to androgen-responsive elements (AREs) in genome to regulate target gene transcription and, consequently, mediates physiological or tumorigenic processes of the prostate. Our aim was to determine whether genetic variants in AREs are associated with clinical outcomes after androgen-deprivation therapy (ADT) in prostate cancer patients., Patients and Methods: We systematically investigated 55 common single-nucleotide polymorphisms (SNPs) in the genome-wide insilico-predicted AREs in a cohort of 601 men with advanced prostate cancer treated with ADT. The prognostic significance of these SNPs on disease progression, prostate cancer-specific mortality (PCSM) and all-cause mortality (ACM) after ADT was assessed by Kaplan-Meier analysis and Cox regression model., Results: In univariate analysis, two, five, and four SNPs were associated with disease progression, PCSM, and ACM, respectively. After adjusting for known prognostic factors, ARRDC3 rs2939244, FLT1 rs9508016, and SKAP1 rs6504145 remained as significant predictors for PCSM and FBXO32 rs7830622 and FLT1 rs9508016 remained as significant predictors for ACM in multivariate analysis. Moreover, strong combined genotype effects on PCSM and ACM were also observed (P(trend) < 0.001)., Conclusion: Our results suggest that SNPs in AREs influence prostate cancer survival and may further advance our understanding of the disease progression.
- Published
- 2012
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