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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

MicroRNAs Discriminate Familial from Sporadic Non-BRCA1/2 Breast Carcinoma Arising in Patients <= 35 Years

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Autor(es):
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Bastos, Elen Pereira [1] ; Brentani, Helena [2] ; Pasini, Fatima Solange [1] ; Silva, Aderbal Ruy T. [2] ; Torres, Cesar Henrique [2] ; Puga, Renato David [3] ; Ribeiro Olivieri, Eloisa Helena [4] ; Piovezani, Amanda Rusiska [5] ; de Braganca Pereira, Carlos Alberto [5] ; Machado-Lima, Ariane [6] ; Carraro, Dirce Maria [4] ; Brentani, Maria Mitzi [1]
Número total de Autores: 12
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Med, Lab Med Invest LIM 24 24, Oncol & Radiol Dept, Sao Paulo - Brazil
[2] Univ Sao Paulo, Sch Med, Inst & Dept Psychiat, Clin Pathol Lab, Lab Med Invest LIM 23 23, Sao Paulo - Brazil
[3] HIAE, Clin Res Ctr, Sao Paulo - Brazil
[4] AC Camargo Canc Ctr, Res Ctr CIPE, Lab Genom & Mol Biol, Sao Paulo - Brazil
[5] Univ Sao Paulo, Math & Stat Inst, Sao Paulo - Brazil
[6] Univ Sao Paulo, Sch Arts Sci & Humanities, Sao Paulo - Brazil
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: PLoS One; v. 9, n. 7 JUL 9 2014.
Citações Web of Science: 6
Resumo

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. (AU)

Processo FAPESP: 09/10088-7 - Expressão gênica de fibroblastos associados a carcinomas de mama classificados em subtipos de acordo com receptores de estrógeno e progesterona e C-ERBB2
Beneficiário:Maria Mitzi Brentani
Linha de fomento: Auxílio à Pesquisa - Temático