Literature DB >> 18708400

Genetic polymorphisms in the Paraoxonase 1 gene and risk of ovarian epithelial carcinoma.

Galina Lurie1, Lynne R Wilkens, Pamela J Thompson, Katharine E McDuffie, Michael E Carney, Keith Y Terada, Marc T Goodman.   

Abstract

Oxidative stress during successive ovulations increases the opportunity for DNA damage to ovarian epithelial cells and the potential for malignant transformation. Paraoxonase 1 (PON1) is an endogenous free radical scavenger that reduces oxidative stress. The association of two common functional single nucleotide polymorphisms (SNP), rs854560 T>A and rs662 A>G, with the risk of epithelial ovarian cancer was examined in a population-based case-control study in Hawaii. A personal interview and blood specimens were collected from 274 women with histologically confirmed, primary ovarian cancer and 452 controls frequency matched on age and ethnicity. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by unconditional logistic regression. Both PON1 SNPs were significantly associated with ovarian cancer risk. The ORs were 0.53 (95% CI, 0.35-0.79; P for allele-dose effect = 0.01) for women carrying the rs854560 T allele compared with women with the AA genotype and 0.65 (95% CI, 0.44-0.95; P for allele-dose effect = 0.03) for women carrying the rs662 A allele compared with women with the GG genotype. The association of the rs854560 T genotype with risk was stronger among smokers (OR, 0.33; 95% CI, 0.17-0.64; P for allele-dose effect = 0.0007) than among nonsmokers (OR, 0.68; 95% CI, 0.40-1.18; P for allele-dose effect = 0.53). The decreased risk associated with the rs854560 T allele was also stronger among obese women (OR, 0.19; 95% CI, 0.06-0.55; P for allele-dose effect = 0.007) than among nonobese women (OR, 0.62; 95% CI, 0.40-0.98; P for allele-dose effect = 0.16). Our study provides evidence for an association of two PON1 SNPs with the risk of epithelial ovarian cancer. Possible effect modification of these associations by tobacco smoking and obesity needs confirmation in other studies.

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Year:  2008        PMID: 18708400      PMCID: PMC2729507          DOI: 10.1158/1055-9965.EPI-08-0145

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


  54 in total

1.  [Effects of oxidative DNA damage induced by polycyclic aromatic hydrocarbons and genetic polymorphism of the paraoxonase-1 (PON1) gene on lung cancer].

Authors:  Chul-Ho Lee; Kye-Young Lee; Kang-Hyeon Choe; Yun-Chul Hong; Yong-Dae Kim; Jong-Won Kang; Heon Kim
Journal:  J Prev Med Public Health       Date:  2005-08

2.  Paraoxonase polymorphism Met-Leu54 is associated with modified serum concentrations of the enzyme. A possible link between the paraoxonase gene and increased risk of cardiovascular disease in diabetes.

Authors:  M C Garin; R W James; P Dussoix; H Blanché; P Passa; P Froguel; J Ruiz
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3.  Association of polymorphisms in the paraoxonase 1 gene with breast cancer incidence in the CPS-II Nutrition Cohort.

Authors:  Victoria L Stevens; Carmen Rodriguez; Alexandre L Pavluck; Michael J Thun; Eugenia E Calle
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-06       Impact factor: 4.254

Review 4.  Carcinogenic potential of ovulatory genotoxicity.

Authors:  William J Murdoch
Journal:  Biol Reprod       Date:  2005-06-15       Impact factor: 4.285

5.  Paraoxonase (PON1): from toxicology to cardiovascular medicine.

Authors:  Lucio G Costa; Toby B Cole; Clement E Furlong
Journal:  Acta Biomed       Date:  2005

6.  Association of CYP17, GSTP1, and PON1 polymorphisms with the risk of prostate cancer.

Authors:  Cinzia Antognelli; Luigi Mearini; Vincenzo Nicola Talesa; Antonella Giannantoni; Ettore Mearini
Journal:  Prostate       Date:  2005-05-15       Impact factor: 4.104

7.  Body mass, polymorphisms in obesity-related genes, and the risk of developing breast cancer among women with benign breast disease.

Authors:  Lisa Gallicchio; Meghan A McSorley; Craig J Newschaffer; Han-Yao Huang; Lucy W Thuita; Sandra C Hoffman; Kathy J Helzlsouer
Journal:  Cancer Detect Prev       Date:  2007-04-10

8.  Estrogen esters as substrates for human paraoxonases.

Authors:  John F Teiber; Scott S Billecke; Bert N La Du; Dragomir I Draganov
Journal:  Arch Biochem Biophys       Date:  2007-03-08       Impact factor: 4.013

Review 9.  Role of oxidative stress in female reproduction.

Authors:  Ashok Agarwal; Sajal Gupta; Rakesh K Sharma
Journal:  Reprod Biol Endocrinol       Date:  2005-07-14       Impact factor: 5.211

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Journal:  BMC Cancer       Date:  2007-03-15       Impact factor: 4.430

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  22 in total

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Journal:  J Genet       Date:  2017-03       Impact factor: 1.166

2.  A polymorphism in the GALNT2 gene and ovarian cancer risk in four population based case-control studies.

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Journal:  Mol Biol Rep       Date:  2012-02-10       Impact factor: 2.316

5.  A pilot study assessing the association between paraoxonase 1 gene polymorphism and prostate cancer.

Authors:  Nihat Uluocak; Doğan Atılgan; Bekir Süha Parlaktaş; Fikret Erdemir; Ömer Ateş
Journal:  Turk J Urol       Date:  2017-07-31

Review 6.  Current understanding of risk factors for ovarian cancer.

Authors:  Thanasak Sueblinvong; Michael E Carney
Journal:  Curr Treat Options Oncol       Date:  2009-07-15

7.  Sequencing and analysis of a South Asian-Indian personal genome.

Authors:  Ravi Gupta; Aakrosh Ratan; Changanamkandath Rajesh; Rong Chen; Hie Lim Kim; Richard Burhans; Webb Miller; Sam Santhosh; Ramana V Davuluri; Atul J Butte; Stephan C Schuster; Somasekar Seshagiri; George Thomas
Journal:  BMC Genomics       Date:  2012-08-31       Impact factor: 3.969

8.  Association of polymorphisms in oxidative stress genes with clinical outcomes for bladder cancer treated with Bacillus Calmette-Guérin.

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9.  Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study.

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Journal:  Lancet Oncol       Date:  2013-07-09       Impact factor: 41.316

10.  Investigation of ovarian cancer associated sialylation changes in N-linked glycopeptides by quantitative proteomics.

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