Cargando…

Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients

BACKGROUND: In the present study, we determined the gene hypermethylation profiles of normal tissues adjacent to invasive breast carcinomas and investigated whether these are associated with the gene hypermethylation profiles of the corresponding primary breast tumors. METHODS: A quantitative methyl...

Descripción completa

Detalles Bibliográficos
Autores principales: Van der Auwera, Ilse, Bovie, Catherine, Svensson, Cecilia, Trinh, Xuan B, Limame, Ridha, van Dam, Peter, van Laere, Steven J, van Marck, Eric A, Dirix, Luc Y, Vermeulen, Peter B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2845117/
https://www.ncbi.nlm.nih.gov/pubmed/20226036
http://dx.doi.org/10.1186/1471-2407-10-97
_version_ 1782179380002291712
author Van der Auwera, Ilse
Bovie, Catherine
Svensson, Cecilia
Trinh, Xuan B
Limame, Ridha
van Dam, Peter
van Laere, Steven J
van Marck, Eric A
Dirix, Luc Y
Vermeulen, Peter B
author_facet Van der Auwera, Ilse
Bovie, Catherine
Svensson, Cecilia
Trinh, Xuan B
Limame, Ridha
van Dam, Peter
van Laere, Steven J
van Marck, Eric A
Dirix, Luc Y
Vermeulen, Peter B
author_sort Van der Auwera, Ilse
collection PubMed
description BACKGROUND: In the present study, we determined the gene hypermethylation profiles of normal tissues adjacent to invasive breast carcinomas and investigated whether these are associated with the gene hypermethylation profiles of the corresponding primary breast tumors. METHODS: A quantitative methylation-specific PCR assay was used to analyze the DNA methylation status of 6 genes (DAPK, TWIST, HIN-1, RASSF1A, RARβ2 and APC) in 9 normal breast tissue samples from unaffected women and in 56 paired cancerous and normal tissue samples from breast cancer patients. RESULTS: Normal tissue adjacent to breast cancer displayed statistically significant differences to unrelated normal breast tissues regarding the aberrant methylation of the RASSF1A (P = 0.03), RARβ2 (P = 0.04) and APC (P = 0.04) genes. Although methylation ratios for all genes in normal tissues from cancer patients were significantly lower than in the cancerous tissue from the same patient (P ≤ 0.01), in general, a clear correlation was observed between methylation ratios measured in both tissue types for all genes tested (P < 0.01). When analyzed as a categorical variable, there was a significant concordance between methylation changes in normal tissues and in the corresponding tumor for all genes tested but RASSF1A. Notably, in 73% of patients, at least one gene with an identical methylation change in cancerous and normal breast tissues was observed. CONCLUSIONS: Histologically normal breast tissues adjacent to breast tumors frequently exhibit methylation changes in multiple genes. These methylation changes may play a role in the earliest stages of the development of breast neoplasia.
format Text
id pubmed-2845117
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28451172010-03-26 Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients Van der Auwera, Ilse Bovie, Catherine Svensson, Cecilia Trinh, Xuan B Limame, Ridha van Dam, Peter van Laere, Steven J van Marck, Eric A Dirix, Luc Y Vermeulen, Peter B BMC Cancer Research Article BACKGROUND: In the present study, we determined the gene hypermethylation profiles of normal tissues adjacent to invasive breast carcinomas and investigated whether these are associated with the gene hypermethylation profiles of the corresponding primary breast tumors. METHODS: A quantitative methylation-specific PCR assay was used to analyze the DNA methylation status of 6 genes (DAPK, TWIST, HIN-1, RASSF1A, RARβ2 and APC) in 9 normal breast tissue samples from unaffected women and in 56 paired cancerous and normal tissue samples from breast cancer patients. RESULTS: Normal tissue adjacent to breast cancer displayed statistically significant differences to unrelated normal breast tissues regarding the aberrant methylation of the RASSF1A (P = 0.03), RARβ2 (P = 0.04) and APC (P = 0.04) genes. Although methylation ratios for all genes in normal tissues from cancer patients were significantly lower than in the cancerous tissue from the same patient (P ≤ 0.01), in general, a clear correlation was observed between methylation ratios measured in both tissue types for all genes tested (P < 0.01). When analyzed as a categorical variable, there was a significant concordance between methylation changes in normal tissues and in the corresponding tumor for all genes tested but RASSF1A. Notably, in 73% of patients, at least one gene with an identical methylation change in cancerous and normal breast tissues was observed. CONCLUSIONS: Histologically normal breast tissues adjacent to breast tumors frequently exhibit methylation changes in multiple genes. These methylation changes may play a role in the earliest stages of the development of breast neoplasia. BioMed Central 2010-03-12 /pmc/articles/PMC2845117/ /pubmed/20226036 http://dx.doi.org/10.1186/1471-2407-10-97 Text en Copyright ©2010 Auwera 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
Van der Auwera, Ilse
Bovie, Catherine
Svensson, Cecilia
Trinh, Xuan B
Limame, Ridha
van Dam, Peter
van Laere, Steven J
van Marck, Eric A
Dirix, Luc Y
Vermeulen, Peter B
Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title_full Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title_fullStr Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title_full_unstemmed Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title_short Quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
title_sort quantitative methylation profiling in tumor and matched morphologically normal tissues from breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2845117/
https://www.ncbi.nlm.nih.gov/pubmed/20226036
http://dx.doi.org/10.1186/1471-2407-10-97
work_keys_str_mv AT vanderauwerailse quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT boviecatherine quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT svenssoncecilia quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT trinhxuanb quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT limameridha quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT vandampeter quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT vanlaerestevenj quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT vanmarckerica quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT dirixlucy quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients
AT vermeulenpeterb quantitativemethylationprofilingintumorandmatchedmorphologicallynormaltissuesfrombreastcancerpatients