Literature DB >> 15894682

CYP3A43 Pro(340)Ala polymorphism and prostate cancer risk in African Americans and Caucasians.

Angie Stone1, Luke D Ratnasinghe, Ginny L Emerson, Rama Modali, Terri Lehman, Gail Runnells, Alindria Carroll, Weleetka Carter, Samuel Barnhart, Al A Rasheed, Graham Greene, Don E Johnson, Christine B Ambrosone, Fred F Kadlubar, Nicholas P Lang.   

Abstract

The human cytochrome P450 3A subfamily of enzymes is involved in the metabolism of steroid hormones, carcinogens, and many drugs. A cytosine-to-guanine polymorphism in CYP3A43 results in a proline-to-alanine substitution at codon 340. Although the functional significance of this polymorphism is unknown, we postulate that the substitution of proline, an alpha-imino acid, with alanine, an amino acid, could be of biochemical significance. In a case-control study with 490 incident prostate cancer cases (124 African Americans and 358 Caucasians) and 494 controls (167 African Americans and 319 Caucasians), we examined the association between CYP3A43 Pro(340)Ala polymorphism and prostate cancer risk. When all subjects were considered, there was a 3-fold increase in risk of prostate cancer among individuals with the CYP3A43-Ala/Ala genotype (odds ratio, 3.0; 95% confidence interval, 1.2-7.2) compared with those with the CYP3A43-Pro/Pro genotype after adjusting for age, race, and smoking. The prevalence of the polymorphism was significantly higher in African Americans than Caucasians (45% versus 13%). In African Americans, there was a 2.6-fold increase in prostate cancer risk among individuals with the CYP3A43-Ala/Ala genotype (odds ratio, 2.6; 95% confidence interval, 1.0-7.0) compared with those with the CYP3A43-Pro/Pro genotype. Among Caucasians, the small number of homozygotes precluded computing risk estimates; there were only three individuals with the CYP3A43-Ala/Ala genotype. Our results suggest that the CYP3A43-Pro(340)Ala polymorphism contributes to prostate cancer risk.

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Year:  2005        PMID: 15894682     DOI: 10.1158/1055-9965.EPI-04-0534

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


  15 in total

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2.  Polymorphisms in inflammatory genes, plasma antioxidants, and prostate cancer risk.

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Review 3.  Genetic variation in CYP3A43 is associated with response to antipsychotic medication.

Authors:  Eva J Brandl; Nabilah I Chowdhury; Arun K Tiwari; Tristram A P Lett; Herbert Y Meltzer; James L Kennedy; Daniel J Müller
Journal:  J Neural Transm (Vienna)       Date:  2014-08-24       Impact factor: 3.575

4.  Mutational landscape of candidate genes in familial prostate cancer.

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Journal:  Prostate       Date:  2014-08-11       Impact factor: 4.104

5.  Joint effects of inflammation and androgen metabolism on prostate cancer severity.

Authors:  Timothy R Rebbeck; Hanna Rennert; Amy H Walker; Saarene Panossian; Teo Tran; Kyle Walker; Elaine Spangler; Margerie Patacsil-Coomes; Rajeev Sachdeva; Alan J Wein; S Bruce Malkowicz; Charnita Zeigler-Johnson
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6.  Ethnical disparities of prostate cancer predisposition: genetic polymorphisms in androgen-related genes.

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Journal:  Am J Cancer Res       Date:  2013-04-03       Impact factor: 6.166

7.  Polymorphisms in hOGG1 and XRCC1 and risk of prostate cancer: effects modified by plasma antioxidants.

Authors:  Jianjun Zhang; Ishwori B Dhakal; Graham Greene; Nicholas P Lang; Fred F Kadlubar
Journal:  Urology       Date:  2009-11-14       Impact factor: 2.649

8.  Ancestry-Adjusted Vitamin D Metabolite Concentrations in Association With Cytochrome P450 3A Polymorphisms.

Authors:  Robin Taylor Wilson; Loren D Masters; Jill S Barnholtz-Sloan; Anna C Salzberg; Terryl J Hartman
Journal:  Am J Epidemiol       Date:  2018-04-01       Impact factor: 4.897

9.  The UGT2B17 gene deletion polymorphism and risk of prostate cancer. A case-control study in Caucasians.

Authors:  Carla J Gallagher; Fred F Kadlubar; Joshua E Muscat; Christine B Ambrosone; Nicholas P Lang; Philip Lazarus
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Review 10.  Review of studies on metabolic genes and cancer in populations of African descent.

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Journal:  Genet Med       Date:  2010-01       Impact factor: 8.822

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