Literature DB >> 14693733

Comprehensive assessment of candidate genes and serological markers for the detection of prostate cancer.

Robert K Nam1, William W Zhang, John Trachtenberg, Michael A S Jewett, Marjan Emami, Danny Vesprini, William Chu, Minnie Ho, Joan Sweet, Andrew Evans, Ants Toi, Michael Pollak, Steven A Narod.   

Abstract

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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Year:  2003        PMID: 14693733

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  25 in total

1.  Tagging SNPs in the kallikrein genes 3 and 2 on 19q13 and their associations with prostate cancer in men of European origin.

Authors:  Prodipto Pal; Huifeng Xi; Guangyun Sun; Ritesh Kaushal; Joshua J Meeks; C Shad Thaxton; Saurav Guha; Carol H Jin; Brian K Suarez; William J Catalona; Ranjan Deka
Journal:  Hum Genet       Date:  2007-06-26       Impact factor: 4.132

2.  IGFBP3 polymorphisms and risk of cancer: a meta-analysis.

Authors:  Li Li; Xin Huang; Keke Huo
Journal:  Mol Biol Rep       Date:  2009-05-18       Impact factor: 2.316

3.  Lack of association between vitamin D receptor gene FokI and BsmI polymorphisms and prostate cancer risk: an updated meta-analysis involving 21,756 subjects.

Authors:  Zhan Guo; Jianguo Wen; Quancheng Kan; Shuman Huang; Xianghua Liu; Ning Sun; Zhenzhen Li
Journal:  Tumour Biol       Date:  2013-06-27

4.  A comprehensive analysis of common IGF1, IGFBP1 and IGFBP3 genetic variation with prospective IGF-I and IGFBP-3 blood levels and prostate cancer risk among Caucasians.

Authors:  Fredrick R Schumacher; Iona Cheng; Matthew L Freedman; Lorelei Mucci; Naomi E Allen; Michael N Pollak; Richard B Hayes; Daniel O Stram; Federico Canzian; Brian E Henderson; David J Hunter; Jarmo Virtamo; Jonas Manjer; J Michael Gaziano; Laurence N Kolonel; Anne Tjønneland; Demetrius Albanes; Eugenia E Calle; Edward Giovannucci; E David Crawford; Christopher A Haiman; Peter Kraft; Walter C Willett; Michael J Thun; Loïc Le Marchand; Rudolf Kaaks; Heather Spencer Feigelson; H Bas Bueno-de-Mesquita; Domenico Palli; Elio Riboli; Eiliv Lund; Pilar Amiano; Gerald Andriole; Alison M Dunning; Dimitrios Trichopoulos; Meir J Stampfer; Timothy J Key; Jing Ma
Journal:  Hum Mol Genet       Date:  2010-05-19       Impact factor: 6.150

5.  Steroid 5-alpha-reductase type 2 (SRD5A2) V89L and A49T polymorphisms and sporadic prostate cancer risk: a meta-analysis.

Authors:  Qiaoxin Li; Yao Zhu; Jing He; Mengyun Wang; Meiling Zhu; Tingyan Shi; Lixin Qiu; Dingwei Ye; Qingyi Wei
Journal:  Mol Biol Rep       Date:  2013-01-01       Impact factor: 2.316

6.  Association between the CYP3A4 and CYP3A5 polymorphisms and cancer risk: a meta-analysis and meta-regression.

Authors:  Xiao-Feng He; Zhi-Zhong Liu; Jian-Jun Xie; Wei Wang; Ya-Ping Du; Yu Chen; Wu Wei
Journal:  Tumour Biol       Date:  2014-07-04

7.  Association of GSTT1 gene polymorphisms with the risk of prostate cancer: an updating meta-analysis.

Authors:  Jihong Wang; Yuemin Xu; Qiang Fu; Jianjun Yu; Zhong Chen; Zhangshun Liu; Chao Li; Hui Guo; Mingkai Xie
Journal:  Tumour Biol       Date:  2013-03-02

8.  Genetic polymorphisms in CYP17, CYP3A4, CYP19A1, SRD5A2, IGF-1, and IGFBP-3 and prostate cancer risk in African-American men: the Flint Men's Health Study.

Authors:  Aruna V Sarma; Rodney L Dunn; Leslie A Lange; Anna Ray; Yunfei Wang; Ethan M Lange; Kathleen A Cooney
Journal:  Prostate       Date:  2008-02-15       Impact factor: 4.104

9.  Ethnical disparities of prostate cancer predisposition: genetic polymorphisms in androgen-related genes.

Authors:  Jie Li; Emma Mercer; Xin Gou; Yong-Jie Lu
Journal:  Am J Cancer Res       Date:  2013-04-03       Impact factor: 6.166

10.  Hormone receptor-related gene polymorphisms and prostate cancer risk in North Indian population.

Authors:  Khadijeh Onsory; R C Sobti; Adnan Issa Al-Badran; Masatoshi Watanabe; Taizo Shiraishi; Awtar Krishan; Harsh Mohan; Pushpinder Kaur
Journal:  Mol Cell Biochem       Date:  2008-05-16       Impact factor: 3.396

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