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Association between genetic polymorphisms and ovarian cancer risk.

Authors: Laetitia, Delort; Nasséra, Chalabi; Samir, Satih; Nadège, Rabiau; Fabrice, Kwiatkowski; Yves-Jean, Bignon; Dominique J, Bernard-Gallon;

Association between genetic polymorphisms and ovarian cancer risk.

Abstract

The etiology of ovarian cancer is not fully understood. Polymorphisms in low penetrance genes involved in carcinogen and estrogen metabolism are hypothesized to play a role in the initiation of carcinogenesis.A case-control study was conducted to investigate the role of these polymorphisms in ovarian cancer risk. The participants were genotyped for eleven polymorphisms in seven genes involved in estrogen and xenobiotic metabolism (CYP1A1, CYP1B1, COMT, GSTP1, NAT2, estrogen receptor ESR, and progesterone receptor PGR).The odds ratios for ovarian cancer risk were 2.02 (95% confidence interval [CI] = 1.14-3.56) in the NAT2 intermediate acetylators and 4.07 (95% CI = 1.30-12.70) in the slow acetylators. At least three cumulative high-risk genotypes increased ovarian cancer risk, but not significantly. More studies are needed in order to define genetic ovarian risk factors.

Keywords

Ovarian Neoplasms, Arylamine N-Acetyltransferase, Estrogens, Catechol O-Methyltransferase, Polymorphism, Single Nucleotide, Xenobiotics, Cytochrome P-450 Enzyme System, Glutathione S-Transferase pi, Receptors, Estrogen, Case-Control Studies, Cytochrome P-450 CYP1B1, Cytochrome P-450 CYP1A1, Humans, Female, Genetic Predisposition to Disease, Aryl Hydrocarbon Hydroxylases, Receptors, Progesterone, Alleles

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research