OBJECTIVES: To determine whether polymorphisms in 17 hydroxylase (CYP17) and vitamin D receptor (VDR) genes have an association to prostate volume/histology and endocrine patterns in elderly men with lower urinary tract symptoms (LUTS). METHODS: Elderly men with LUTS underwent the following investigations: International Prostate Symptom Score (IPSS), uroflowmetry, serum prostate-specific antigen (PSA) assessment of prostate volume, and an endocrine study. Polymorphisms of CYP17 (T-->C substitution in the 5' promoter region) and VDR (T1055C) genes were detected by polymerase chain reaction followed by restriction-length polymorphism analysis, using DNA from peripheral white blood cells. Clinical and endocrine parameters and the prostate stroma/epithelial ratio were correlated to CYP17 and VDR genotypes. RESULTS: A total of 148 (mean +/- SD, 67.0 +/- 9.7 years) patients were analyzed. IPSS (17.8 +/- 7.0), prostate volume (41.9 +/- 17.9 cc), maximum flow rate (10.9 +/- 5.8 mL/s), and PSA (4.7 +/- 4.7 ng/mL) indicate a typical LUTS population. Mean endocrine levels were consistently within age-specific reference values. Neither CYP17 nor VDR gene polymorphisms revealed an association to prostate size, PSA, clinical parameters, and endocrine parameters. Men who had the A1/A1 CYP17 genotype had on average a greater stromal/epithelial ratio than men with the A1/A2 or A2/A2 genotypes, yet after adjusting for multiple testing, this significance disappeared. CONCLUSIONS: Gene polymorphisms of CYP17 and VDR have no association to prostate volume, clinical parameters, and endocrine parameters in elderly men. The association of CYP17 polymorphism and prostate histology warrants further studies. Assessment of gene polymorphisms might provide new insights into the pathogenesis of benign prostatic hyperplasia and benign prostate enlargement and may hold promise as genetic biomarkers of this disease.
OBJECTIVES: To determine whether polymorphisms in 17 hydroxylase (CYP17) and vitamin D receptor (VDR) genes have an association to prostate volume/histology and endocrine patterns in elderly men with lower urinary tract symptoms (LUTS). METHODS: Elderly men with LUTS underwent the following investigations: International Prostate Symptom Score (IPSS), uroflowmetry, serum prostate-specific antigen (PSA) assessment of prostate volume, and an endocrine study. Polymorphisms of CYP17 (T-->C substitution in the 5' promoter region) and VDR (T1055C) genes were detected by polymerase chain reaction followed by restriction-length polymorphism analysis, using DNA from peripheral white blood cells. Clinical and endocrine parameters and the prostate stroma/epithelial ratio were correlated to CYP17 and VDR genotypes. RESULTS: A total of 148 (mean +/- SD, 67.0 +/- 9.7 years) patients were analyzed. IPSS (17.8 +/- 7.0), prostate volume (41.9 +/- 17.9 cc), maximum flow rate (10.9 +/- 5.8 mL/s), and PSA (4.7 +/- 4.7 ng/mL) indicate a typical LUTS population. Mean endocrine levels were consistently within age-specific reference values. Neither CYP17 nor VDR gene polymorphisms revealed an association to prostate size, PSA, clinical parameters, and endocrine parameters. Men who had the A1/A1 CYP17 genotype had on average a greater stromal/epithelial ratio than men with the A1/A2 or A2/A2 genotypes, yet after adjusting for multiple testing, this significance disappeared. CONCLUSIONS: Gene polymorphisms of CYP17 and VDR have no association to prostate volume, clinical parameters, and endocrine parameters in elderly men. The association of CYP17 polymorphism and prostate histology warrants further studies. Assessment of gene polymorphisms might provide new insights into the pathogenesis of benign prostatic hyperplasia and benign prostate enlargement and may hold promise as genetic biomarkers of this disease.
Authors: Jeannette M Schenk; Rachel Hunter-Merrill; Yingye Zheng; Ruth Etzioni; Roman Gulati; Catherine Tangen; Ian M Thompson; Alan R Kristal Journal: Am J Epidemiol Date: 2013-06-28 Impact factor: 4.897
Authors: Tristan M Sissung; Douglas K Price; Marzia Del Re; Ariel M Ley; Elisa Giovannetti; William D Figg; Romano Danesi Journal: Biochim Biophys Acta Date: 2014-09-06
Authors: Richard Berges; Andrea Gsur; Elisabeth Feik; Klaus Höfner; Theodor Senge; Ludger Pientka; Andreas Baierl; Martin C Michel; Anton Ponholzer; Stephan Madersbacher Journal: World J Urol Date: 2009-11-17 Impact factor: 4.226