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DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population

Studies have demonstrated that changes in DNA methylation of cancer related genes can be an elementary process accounting for ovarian tumorigenesis. Therefore, we evaluated the possible association of single nucleotide polymorphisms (SNPs) of DNA methyltransferases (DNMTs) genes, including DNMT1, DN...

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Autores principales: Mostowska, Adrianna, Sajdak, Stefan, Pawlik, Piotr, Lianeri, Margarita, Jagodzinski, Paweł P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723978/
https://www.ncbi.nlm.nih.gov/pubmed/23666104
http://dx.doi.org/10.1007/s11033-013-2589-0
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author Mostowska, Adrianna
Sajdak, Stefan
Pawlik, Piotr
Lianeri, Margarita
Jagodzinski, Paweł P.
author_facet Mostowska, Adrianna
Sajdak, Stefan
Pawlik, Piotr
Lianeri, Margarita
Jagodzinski, Paweł P.
author_sort Mostowska, Adrianna
collection PubMed
description Studies have demonstrated that changes in DNA methylation of cancer related genes can be an elementary process accounting for ovarian tumorigenesis. Therefore, we evaluated the possible association of single nucleotide polymorphisms (SNPs) of DNA methyltransferases (DNMTs) genes, including DNMT1, DNMT3B, and DNMT3A, with ovarian cancer development in the Polish population. Using PCR–RFLP and HRM analyses, we studied the prevalence of the DNMT1 rs8101626, rs2228611 and rs759920, DNMT3A rs2289195, 7590760, rs13401241, rs749131 and rs1550117, and DNMT3B rs1569686, rs2424913 and rs2424932 SNPs in patients with ovarian cancer (n = 159) and controls (n = 180). The lowest p values of the trend test were observed for the DNMT1 rs2228611 and rs759920 SNPs in patients with ovarian cancer (p (trend) = 0.0118 and p (trend) = 0.0173, respectively). Moreover, we observed, in the recessive inheritance model, that the DNMT1 rs2228611 and rs759920 SNPs are associated with an increased risk of ovarian cancer development [OR 1.836 (1.143–2.949), p = 0.0114, p (corr) = 0.0342, and OR 1.932 (1.185–3.152), p = 0.0078, p (cor=)0.0234, respectively]. However, none of other nine studied SNPs displayed significant contribution to the development of ovarian cancer. Furthermore, haplotype and multifactor dimensionality reduction analysis of the studied DNMT1, DNMT3B, and DNMT3A polymorphisms did not reveal either SNP combinations or gene interactions to be associated with the risk of ovarian cancer development. Our results may suggest that DNMT1 variants may be risk factors of ovarian cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11033-013-2589-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-37239782013-08-01 DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population Mostowska, Adrianna Sajdak, Stefan Pawlik, Piotr Lianeri, Margarita Jagodzinski, Paweł P. Mol Biol Rep Article Studies have demonstrated that changes in DNA methylation of cancer related genes can be an elementary process accounting for ovarian tumorigenesis. Therefore, we evaluated the possible association of single nucleotide polymorphisms (SNPs) of DNA methyltransferases (DNMTs) genes, including DNMT1, DNMT3B, and DNMT3A, with ovarian cancer development in the Polish population. Using PCR–RFLP and HRM analyses, we studied the prevalence of the DNMT1 rs8101626, rs2228611 and rs759920, DNMT3A rs2289195, 7590760, rs13401241, rs749131 and rs1550117, and DNMT3B rs1569686, rs2424913 and rs2424932 SNPs in patients with ovarian cancer (n = 159) and controls (n = 180). The lowest p values of the trend test were observed for the DNMT1 rs2228611 and rs759920 SNPs in patients with ovarian cancer (p (trend) = 0.0118 and p (trend) = 0.0173, respectively). Moreover, we observed, in the recessive inheritance model, that the DNMT1 rs2228611 and rs759920 SNPs are associated with an increased risk of ovarian cancer development [OR 1.836 (1.143–2.949), p = 0.0114, p (corr) = 0.0342, and OR 1.932 (1.185–3.152), p = 0.0078, p (cor=)0.0234, respectively]. However, none of other nine studied SNPs displayed significant contribution to the development of ovarian cancer. Furthermore, haplotype and multifactor dimensionality reduction analysis of the studied DNMT1, DNMT3B, and DNMT3A polymorphisms did not reveal either SNP combinations or gene interactions to be associated with the risk of ovarian cancer development. Our results may suggest that DNMT1 variants may be risk factors of ovarian cancer. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11033-013-2589-0) contains supplementary material, which is available to authorized users. Springer Netherlands 2013-05-12 2013 /pmc/articles/PMC3723978/ /pubmed/23666104 http://dx.doi.org/10.1007/s11033-013-2589-0 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Mostowska, Adrianna
Sajdak, Stefan
Pawlik, Piotr
Lianeri, Margarita
Jagodzinski, Paweł P.
DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title_full DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title_fullStr DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title_full_unstemmed DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title_short DNMT1, DNMT3A and DNMT3B gene variants in relation to ovarian cancer risk in the Polish population
title_sort dnmt1, dnmt3a and dnmt3b gene variants in relation to ovarian cancer risk in the polish population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723978/
https://www.ncbi.nlm.nih.gov/pubmed/23666104
http://dx.doi.org/10.1007/s11033-013-2589-0
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