Cargando…

Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors

BACKGROUND: Aberrant DNA methylation of regulatory genes has frequently been found in human breast cancers and correlated to clinical outcome. In the present study we investigate stage specific changes in the DNA methylation patterns in order to identify valuable markers to understand how these chan...

Descripción completa

Detalles Bibliográficos
Autores principales: Klajic, Jovana, Fleischer, Thomas, Dejeux, Emelyne, Edvardsen, Hege, Warnberg, Fredrik, Bukholm, Ida, Lønning, Per Eystein, Solvang, Hiroko, Børresen-Dale, Anne-Lise, Tost, Jörg, Kristensen, Vessela N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819713/
https://www.ncbi.nlm.nih.gov/pubmed/24093668
http://dx.doi.org/10.1186/1471-2407-13-456
_version_ 1782290027968987136
author Klajic, Jovana
Fleischer, Thomas
Dejeux, Emelyne
Edvardsen, Hege
Warnberg, Fredrik
Bukholm, Ida
Lønning, Per Eystein
Solvang, Hiroko
Børresen-Dale, Anne-Lise
Tost, Jörg
Kristensen, Vessela N
author_facet Klajic, Jovana
Fleischer, Thomas
Dejeux, Emelyne
Edvardsen, Hege
Warnberg, Fredrik
Bukholm, Ida
Lønning, Per Eystein
Solvang, Hiroko
Børresen-Dale, Anne-Lise
Tost, Jörg
Kristensen, Vessela N
author_sort Klajic, Jovana
collection PubMed
description BACKGROUND: Aberrant DNA methylation of regulatory genes has frequently been found in human breast cancers and correlated to clinical outcome. In the present study we investigate stage specific changes in the DNA methylation patterns in order to identify valuable markers to understand how these changes affect breast cancer progression. METHODS: Quantitative DNA methylation analyses of 12 candidate genes ABCB1, BRCCA1, CDKN2A, ESR1, GSTP1, IGF2, MGMT, HMLH1, PPP2R2B, PTEN, RASSF1A and FOXC1 was performed by pyrosequencing a series of 238 breast cancer tissue samples from DCIS to invasive tumors stage I to IV. RESULTS: Significant differences in methylation levels between the DCIS and invasive stage II tumors were observed for six genes RASSF1A, CDKN2A, MGMT, ABCB1, GSTP1 and FOXC1. RASSF1A, ABCB1 and GSTP1 showed significantly higher methylation levels in late stage compared to the early stage breast carcinoma. Z-score analysis revealed significantly lower methylation levels in DCIS and stage I tumors compared with stage II, III and IV tumors. Methylation levels of PTEN, PPP2R2B, FOXC1, ABCB1 and BRCA1 were lower in tumors harboring TP53 mutations then in tumors with wild type TP53. Z-score analysis showed that TP53 mutated tumors had significantly lower overall methylation levels compared to tumors with wild type TP53. Methylation levels of RASSF1A, PPP2R2B, GSTP1 and FOXC1 were higher in ER positive vs. ER negative tumors and methylation levels of PTEN and CDKN2A were higher in HER2 positive vs. HER2 negative tumors. Z-score analysis also showed that HER2 positive tumors had significantly higher z-scores of methylation compared to the HER2 negative tumors. Univariate survival analysis identifies methylation status of PPP2R2B as significant predictor of overall survival and breast cancer specific survival. CONCLUSIONS: In the present study we report that the level of aberrant DNA methylation is higher in late stage compared with early stage of invasive breast cancers and DCIS for genes mentioned above.
format Online
Article
Text
id pubmed-3819713
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-38197132013-11-08 Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors Klajic, Jovana Fleischer, Thomas Dejeux, Emelyne Edvardsen, Hege Warnberg, Fredrik Bukholm, Ida Lønning, Per Eystein Solvang, Hiroko Børresen-Dale, Anne-Lise Tost, Jörg Kristensen, Vessela N BMC Cancer Research Article BACKGROUND: Aberrant DNA methylation of regulatory genes has frequently been found in human breast cancers and correlated to clinical outcome. In the present study we investigate stage specific changes in the DNA methylation patterns in order to identify valuable markers to understand how these changes affect breast cancer progression. METHODS: Quantitative DNA methylation analyses of 12 candidate genes ABCB1, BRCCA1, CDKN2A, ESR1, GSTP1, IGF2, MGMT, HMLH1, PPP2R2B, PTEN, RASSF1A and FOXC1 was performed by pyrosequencing a series of 238 breast cancer tissue samples from DCIS to invasive tumors stage I to IV. RESULTS: Significant differences in methylation levels between the DCIS and invasive stage II tumors were observed for six genes RASSF1A, CDKN2A, MGMT, ABCB1, GSTP1 and FOXC1. RASSF1A, ABCB1 and GSTP1 showed significantly higher methylation levels in late stage compared to the early stage breast carcinoma. Z-score analysis revealed significantly lower methylation levels in DCIS and stage I tumors compared with stage II, III and IV tumors. Methylation levels of PTEN, PPP2R2B, FOXC1, ABCB1 and BRCA1 were lower in tumors harboring TP53 mutations then in tumors with wild type TP53. Z-score analysis showed that TP53 mutated tumors had significantly lower overall methylation levels compared to tumors with wild type TP53. Methylation levels of RASSF1A, PPP2R2B, GSTP1 and FOXC1 were higher in ER positive vs. ER negative tumors and methylation levels of PTEN and CDKN2A were higher in HER2 positive vs. HER2 negative tumors. Z-score analysis also showed that HER2 positive tumors had significantly higher z-scores of methylation compared to the HER2 negative tumors. Univariate survival analysis identifies methylation status of PPP2R2B as significant predictor of overall survival and breast cancer specific survival. CONCLUSIONS: In the present study we report that the level of aberrant DNA methylation is higher in late stage compared with early stage of invasive breast cancers and DCIS for genes mentioned above. BioMed Central 2013-10-05 /pmc/articles/PMC3819713/ /pubmed/24093668 http://dx.doi.org/10.1186/1471-2407-13-456 Text en Copyright © 2013 Klajic et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Klajic, Jovana
Fleischer, Thomas
Dejeux, Emelyne
Edvardsen, Hege
Warnberg, Fredrik
Bukholm, Ida
Lønning, Per Eystein
Solvang, Hiroko
Børresen-Dale, Anne-Lise
Tost, Jörg
Kristensen, Vessela N
Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title_full Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title_fullStr Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title_full_unstemmed Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title_short Quantitative DNA methylation analyses reveal stage dependent DNA methylation and association to clinico-pathological factors in breast tumors
title_sort quantitative dna methylation analyses reveal stage dependent dna methylation and association to clinico-pathological factors in breast tumors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3819713/
https://www.ncbi.nlm.nih.gov/pubmed/24093668
http://dx.doi.org/10.1186/1471-2407-13-456
work_keys_str_mv AT klajicjovana quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT fleischerthomas quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT dejeuxemelyne quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT edvardsenhege quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT warnbergfredrik quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT bukholmida quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT lønningpereystein quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT solvanghiroko quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT børresendaleannelise quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT tostjorg quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors
AT kristensenvesselan quantitativednamethylationanalysesrevealstagedependentdnamethylationandassociationtoclinicopathologicalfactorsinbreasttumors