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Cancer Epidemiology Biomarkers & Prevention Vol. 12, 1429-1437, December 2003
© 2003 American Association for Cancer Research

Comprehensive Assessment of Candidate Genes and Serological Markers for the Detection of Prostate Cancer

Robert K. Nam1, William W. Zhang3, John Trachtenberg2, Michael A. S. Jewett2, Marjan Emami1, Danny Vesprini3, William Chu3, Minnie Ho3, Joan Sweet4, Andrew Evans4, Ants Toi5, Michael Pollak6 and Steven A. Narod3

1 Division of Urology, Sunnybrook and Women’s College Health Sciences Centre, 2 University Health Network, 3 Department of Public Health Sciences, 4 Department of Pathology, 5 Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Ontario, and 6 Department of Oncology, McGill University, Montreal, Quebec, Canada

We examined whether selected polymorphisms in 11 candidate genes and serum levels of insulin-like growth factor I (IGF-I) help predict the presence of prostate cancer among patients prescreened with prostate-specific antigen (PSA) and digital rectal exam (DRE). We studied 1031 consecutive men who underwent one or more prostate biopsies because of an elevated PSA level (>4 ng/ml) or an abnormal DRE. Eleven candidate genes were examined, including the androgen receptor, SRD5A2, CYP17, CYP3A4, vitamin D receptor, PSA, GST-T1, GST-M1, GST-P1, IGF-I, and IGF binding protein 3. We also measured serum IGF-I levels before biopsy. Of the 1031 men, 483 had cancer on any biopsy (cases) and 548 men had no cancer (controls). Age, ethnicity, total PSA, and DRE result were strongly predictive of the presence of prostate cancer. The mean IGF-I level for cases (119.4 ng/ml) was lower than for controls (124.4 ng/ml, P = 0.05) and were not predictive for the presence of prostate cancer. We found no associations between the androgen receptor, SRD5A2, CYP17, CYP3A4, vitamin D receptor, GST-M1, GST-P1, and IGF binding protein 3 genotypes and prostate cancer risk. The adjusted odds ratios for having prostate cancer for patients with the GST-T1 and IGF-I variant alleles were 1.64 (95% confidence interval, 1.1–2.4; P = 0.01) and 1.70 (95% confidence interval, 1.1–2.7; P = 0.02), respectively. Nine of 11 candidate genes were not significantly predictive for prostate cancer in a clinical setting. The GST-T1 and IGF-I polymorphisms demonstrated modest associations with prostate cancer risk. IGF-I levels were not helpful in identifying patients with prostate cancer at the time of biopsy.




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Cancer Research Clinical Cancer Research
Cancer Epidemiology Biomarkers & Prevention Molecular Cancer Therapeutics
Molecular Cancer Research Cancer Prevention Research
Cancer Prevention Journals Portal Cancer Reviews Online
Annual Meeting Education Book Cell Growth & Differentiation
Copyright © 2003 by the American Association for Cancer Research.