Xenobiotic-metabolizing gene polymorphisms and ovarian cancer risk

Goode, Ellen L., White, Kristin L., Vierkant, Robert A., Phelan, Catherine M., Cunningham, Julie M., Schildkraut, Joellen M., Berchuck, Andrew, Larson, Melissa C., Fridley, Brooke L., the Ovarian Cancer Association Consortium, the Australian Ovarian Cancer Study Group, the Australian Cancer Study (Ovarian Cancer), Olson, Janet E., Webb, Penelope M., Chen, Xiaoqing, Beesley, Jonathan, Chenevix-Trench, Georgia and Sellers, Thomas A. (2011) Xenobiotic-metabolizing gene polymorphisms and ovarian cancer risk. Molecular Carcinogenesis, 50 4: 397-402. doi:10.1002/mc.20714

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Author Goode, Ellen L.
White, Kristin L.
Vierkant, Robert A.
Phelan, Catherine M.
Cunningham, Julie M.
Schildkraut, Joellen M.
Berchuck, Andrew
Larson, Melissa C.
Fridley, Brooke L.
the Ovarian Cancer Association Consortium
the Australian Ovarian Cancer Study Group
the Australian Cancer Study (Ovarian Cancer)
Olson, Janet E.
Webb, Penelope M.
Chen, Xiaoqing
Beesley, Jonathan
Chenevix-Trench, Georgia
Sellers, Thomas A.
Title Xenobiotic-metabolizing gene polymorphisms and ovarian cancer risk
Journal name Molecular Carcinogenesis   Check publisher's open access policy
ISSN 1098-2744
Publication date 2011-05
Year available 2010
Sub-type Article (original research)
DOI 10.1002/mc.20714
Volume 50
Issue 4
Start page 397
End page 402
Total pages 6
Place of publication Hoboken, NJ, U.S.A.
Publisher John Wiley & Sons
Collection year 2011
Language eng
Formatted abstract
Because selected xenobiotic-metabolizing enzymes process pro-carcinogens that could initiate ovarian carcinogenesis, we hypothesized that single nucleotide polymorphisms (SNPs) in the genes encoding xenobiotic-metabolizing enzymes are associated with risk of ovarian cancer. Cases with invasive epithelial ovarian cancer (N=1,571 including 956 of serous sub-type) and controls (N=2,046) from three studies were genotyped at 11 SNPs in EPHX1, ADH4, ADH1A, NQO2, NAT2, GSTP1, CYP1A1, and NQO1, following an initial SNP screen in a subset of participants. Logistic regression analysis of genotypes obtained via Illumina GoldenGate and Sequenom iPlex technologies revealed the following age- and study-adjusted associations: EPHX1 rs1051740 with increased serous ovarian cancer risk [per-allele odds ratio (OR) 1.17, 95% confidence interval (95% CI) 1.04-1.32, P=0.01), ADH4 r1042364 with decreased ovarian cancer risk (OR 0.90, 95% CI: 0.81-1.00, P=0.05), and NQO1 rs291766 with increased ovarian cancer risk (OR 1.11, 95% CI: 1.00-1.23, P=0.04). These findings are consistent with prior studies implicating these genes in carcinogenesis and suggest that this collection of variants is worthy of follow-up in additional studies.
© 2010 Wiley-Liss, Inc.
Keyword Carcinogenesis
Gynecologic neoplasia
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 28 December 2010 in Wiley Online Library

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Medicine Publications
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Created: Fri, 08 Apr 2011, 16:07:02 EST by Debbie Banks on behalf of School of Medicine