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MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years
The influence of genetic factors may contribute to the poor prognosis of breast cancer (BC) at a very young age. However BRCA1/2 mutations could not explain the majority of cases arising in these patients. MicroRNAs (miRs) have been implicated in biological processes associated with BC. Therefore, w...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090167/ https://www.ncbi.nlm.nih.gov/pubmed/25006670 http://dx.doi.org/10.1371/journal.pone.0101656 |
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author | Bastos, Elen Pereira Brentani, Helena Pasini, Fatima Solange Silva, Aderbal Ruy T. Torres, Cesar Henrique Puga, Renato David Olivieri, Eloisa Helena Ribeiro Piovezani, Amanda Rusiska Pereira, Carlos Alberto de Bragança Machado-Lima, Ariane Carraro, Dirce Maria Brentani, Maria Mitzi |
author_facet | Bastos, Elen Pereira Brentani, Helena Pasini, Fatima Solange Silva, Aderbal Ruy T. Torres, Cesar Henrique Puga, Renato David Olivieri, Eloisa Helena Ribeiro Piovezani, Amanda Rusiska Pereira, Carlos Alberto de Bragança Machado-Lima, Ariane Carraro, Dirce Maria Brentani, Maria Mitzi |
author_sort | Bastos, Elen Pereira |
collection | PubMed |
description | The influence of genetic factors may contribute to the poor prognosis of breast cancer (BC) at a very young age. However BRCA1/2 mutations could not explain the majority of cases arising in these patients. MicroRNAs (miRs) have been implicated in biological processes associated with BC. Therefore, we investigated differences in miRs expression between tumors from young patients (≤35 years) with sporadic or familial history and non-carriers of BRCA1/2 mutations. Thirty-six young Brazilian patients were divided into 2 groups: sporadic (NF-BC) or familial breast cancer (F-BC). Most of the samples were classified as luminal A and B and the frequency of subtypes did not differ between familial or sporadic cases. Using real time qPCR and discriminant function analysis, we identified 9 miRs whose expression levels rather than miR identity can discriminate between both patient groups. Candidate predicted targets were determined by combining results from miRWalk algorithms with mRNA expression profiles (n = 91 differently expressed genes). MiR/mRNA integrated analysis identified 91 candidate genes showing positive or negative correlation to at least 1 of the 9 miRs. Co-expression analysis of these genes with 9 miRs indicated that 49 differentially co-expressed miR-gene interactions changes in F-BC tumors as compared to those of NF-BC tumors. Out of 49, 17 (34.6%) of predicted miR-gene interactions showed an inverse correlation suggesting that miRs act as post-transcriptional regulators, whereas 14 (28.6%) miR-gene pairs tended to be co-expressed in the same direction indicating that the effects exerted by these miRs pointed to a complex level of target regulation. The remaining 18 pairs were not predicted by our criteria suggesting involvement of other regulators. MiR–mRNA co-expression analysis allowed us to identify changes in the miR-mRNA regulation that were able to distinguish tumors from familial and sporadic young BC patients non-carriers of BRCA mutations. |
format | Online Article Text |
id | pubmed-4090167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40901672014-07-14 MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years Bastos, Elen Pereira Brentani, Helena Pasini, Fatima Solange Silva, Aderbal Ruy T. Torres, Cesar Henrique Puga, Renato David Olivieri, Eloisa Helena Ribeiro Piovezani, Amanda Rusiska Pereira, Carlos Alberto de Bragança Machado-Lima, Ariane Carraro, Dirce Maria Brentani, Maria Mitzi PLoS One Research Article The influence of genetic factors may contribute to the poor prognosis of breast cancer (BC) at a very young age. However BRCA1/2 mutations could not explain the majority of cases arising in these patients. MicroRNAs (miRs) have been implicated in biological processes associated with BC. Therefore, we investigated differences in miRs expression between tumors from young patients (≤35 years) with sporadic or familial history and non-carriers of BRCA1/2 mutations. Thirty-six young Brazilian patients were divided into 2 groups: sporadic (NF-BC) or familial breast cancer (F-BC). Most of the samples were classified as luminal A and B and the frequency of subtypes did not differ between familial or sporadic cases. Using real time qPCR and discriminant function analysis, we identified 9 miRs whose expression levels rather than miR identity can discriminate between both patient groups. Candidate predicted targets were determined by combining results from miRWalk algorithms with mRNA expression profiles (n = 91 differently expressed genes). MiR/mRNA integrated analysis identified 91 candidate genes showing positive or negative correlation to at least 1 of the 9 miRs. Co-expression analysis of these genes with 9 miRs indicated that 49 differentially co-expressed miR-gene interactions changes in F-BC tumors as compared to those of NF-BC tumors. Out of 49, 17 (34.6%) of predicted miR-gene interactions showed an inverse correlation suggesting that miRs act as post-transcriptional regulators, whereas 14 (28.6%) miR-gene pairs tended to be co-expressed in the same direction indicating that the effects exerted by these miRs pointed to a complex level of target regulation. The remaining 18 pairs were not predicted by our criteria suggesting involvement of other regulators. MiR–mRNA co-expression analysis allowed us to identify changes in the miR-mRNA regulation that were able to distinguish tumors from familial and sporadic young BC patients non-carriers of BRCA mutations. Public Library of Science 2014-07-09 /pmc/articles/PMC4090167/ /pubmed/25006670 http://dx.doi.org/10.1371/journal.pone.0101656 Text en © 2014 Bastos et al This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bastos, Elen Pereira Brentani, Helena Pasini, Fatima Solange Silva, Aderbal Ruy T. Torres, Cesar Henrique Puga, Renato David Olivieri, Eloisa Helena Ribeiro Piovezani, Amanda Rusiska Pereira, Carlos Alberto de Bragança Machado-Lima, Ariane Carraro, Dirce Maria Brentani, Maria Mitzi MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title | MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title_full | MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title_fullStr | MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title_full_unstemmed | MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title_short | MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients ≤35 Years |
title_sort | micrornas discriminate familial from sporadic non-brca1/2 breast carcinoma arising in patients ≤35 years |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090167/ https://www.ncbi.nlm.nih.gov/pubmed/25006670 http://dx.doi.org/10.1371/journal.pone.0101656 |
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