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Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival
BACKGROUND: Array CGH analysis of breast tumors has contributed to the identification of different genomic profiles in these tumors. Loss of DNA repair by BRCA1 functional deficiency in breast cancer has been proposed as a relevant contribution to breast cancer progression for tumors with no germlin...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791866/ https://www.ncbi.nlm.nih.gov/pubmed/26979459 http://dx.doi.org/10.1186/s12885-016-2261-x |
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author | Alvarez, Carolina Aravena, Andrés Tapia, Teresa Rozenblum, Ester Solís, Luisa Corvalán, Alejandro Camus, Mauricio Alvarez, Manuel Munroe, David Maass, Alejandro Carvallo, Pilar |
author_facet | Alvarez, Carolina Aravena, Andrés Tapia, Teresa Rozenblum, Ester Solís, Luisa Corvalán, Alejandro Camus, Mauricio Alvarez, Manuel Munroe, David Maass, Alejandro Carvallo, Pilar |
author_sort | Alvarez, Carolina |
collection | PubMed |
description | BACKGROUND: Array CGH analysis of breast tumors has contributed to the identification of different genomic profiles in these tumors. Loss of DNA repair by BRCA1 functional deficiency in breast cancer has been proposed as a relevant contribution to breast cancer progression for tumors with no germline mutation. Identifying the genomic alterations taking place in BRCA1 not expressing tumors will lead us to a better understanding of the cellular functions affected in this heterogeneous disease. Moreover, specific genomic alterations may contribute to the identification of potential therapeutic targets and offer a more personalized treatment to breast cancer patients. METHODS: Forty seven tumors from hereditary breast cancer cases, previously analyzed for BRCA1 expression, and screened for germline BRCA1 and 2 mutations, were analyzed by Array based Comparative Genomic Hybridization (aCGH) using Agilent 4x44K arrays. Overall survival was established for tumors in different clusters using Log-rank (Mantel-Cox) Test. Gene lists obtained from aCGH analysis were analyzed for Gene Ontology enrichment using GOrilla and DAVID tools. RESULTS: Genomic profiling of the tumors showed specific alterations associated to BRCA1 or 2 mutation status, and BRCA1 expression in the tumors, affecting relevant cellular processes. Similar cellular functions were found affected in BRCA1 not expressing and BRCA1 or 2 mutated tumors. Hierarchical clustering classified hereditary breast tumors in four major, groups according to the type and amount of genomic alterations, showing one group with a significantly poor overall survival (p = 0.0221). Within this cluster, deletion of PLEKHO1, GDF11, DARC, DAG1 and CD63 may be associated to the worse outcome of the patients. CONCLUSIONS: These results support the fact that BRCA1 lack of expression in tumors should be used as a marker for BRCAness and to select these patients for synthetic lethality approaches such as treatment with PARP inhibitors. In addition, the identification of specific alterations in breast tumors associated with poor survival, immune response or with a BRCAness phenotype will allow the use of a more personalized treatment in these patients. |
format | Online Article Text |
id | pubmed-4791866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47918662016-03-16 Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival Alvarez, Carolina Aravena, Andrés Tapia, Teresa Rozenblum, Ester Solís, Luisa Corvalán, Alejandro Camus, Mauricio Alvarez, Manuel Munroe, David Maass, Alejandro Carvallo, Pilar BMC Cancer Research Article BACKGROUND: Array CGH analysis of breast tumors has contributed to the identification of different genomic profiles in these tumors. Loss of DNA repair by BRCA1 functional deficiency in breast cancer has been proposed as a relevant contribution to breast cancer progression for tumors with no germline mutation. Identifying the genomic alterations taking place in BRCA1 not expressing tumors will lead us to a better understanding of the cellular functions affected in this heterogeneous disease. Moreover, specific genomic alterations may contribute to the identification of potential therapeutic targets and offer a more personalized treatment to breast cancer patients. METHODS: Forty seven tumors from hereditary breast cancer cases, previously analyzed for BRCA1 expression, and screened for germline BRCA1 and 2 mutations, were analyzed by Array based Comparative Genomic Hybridization (aCGH) using Agilent 4x44K arrays. Overall survival was established for tumors in different clusters using Log-rank (Mantel-Cox) Test. Gene lists obtained from aCGH analysis were analyzed for Gene Ontology enrichment using GOrilla and DAVID tools. RESULTS: Genomic profiling of the tumors showed specific alterations associated to BRCA1 or 2 mutation status, and BRCA1 expression in the tumors, affecting relevant cellular processes. Similar cellular functions were found affected in BRCA1 not expressing and BRCA1 or 2 mutated tumors. Hierarchical clustering classified hereditary breast tumors in four major, groups according to the type and amount of genomic alterations, showing one group with a significantly poor overall survival (p = 0.0221). Within this cluster, deletion of PLEKHO1, GDF11, DARC, DAG1 and CD63 may be associated to the worse outcome of the patients. CONCLUSIONS: These results support the fact that BRCA1 lack of expression in tumors should be used as a marker for BRCAness and to select these patients for synthetic lethality approaches such as treatment with PARP inhibitors. In addition, the identification of specific alterations in breast tumors associated with poor survival, immune response or with a BRCAness phenotype will allow the use of a more personalized treatment in these patients. BioMed Central 2016-03-15 /pmc/articles/PMC4791866/ /pubmed/26979459 http://dx.doi.org/10.1186/s12885-016-2261-x Text en © Alvarez et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Alvarez, Carolina Aravena, Andrés Tapia, Teresa Rozenblum, Ester Solís, Luisa Corvalán, Alejandro Camus, Mauricio Alvarez, Manuel Munroe, David Maass, Alejandro Carvallo, Pilar Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title | Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title_full | Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title_fullStr | Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title_full_unstemmed | Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title_short | Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival |
title_sort | different array cgh profiles within hereditary breast cancer tumors associated to brca1 expression and overall survival |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791866/ https://www.ncbi.nlm.nih.gov/pubmed/26979459 http://dx.doi.org/10.1186/s12885-016-2261-x |
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