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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...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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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 |
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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 |
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