Your browser doesn't support javascript.
loading
Comparative microRNA profiling of sporadic and BRCA1 associated basal-like breast cancers.
Yan, Max; Shield-Artin, Kristy; Byrne, David; Deb, Siddhartha; Waddell, Nic; Haviv, Izhak; Fox, Stephen B.
Afiliación
  • Yan M; Department of Anatomical Pathology, Prince of Wales Hospital, School of Medical Sciences, University of New South Wales, Randwick, 2031, Australia. max.yan@sesiahs.health.nsw.gov.au.
  • Shield-Artin K; Baker IDI Heart and Diabetes Institute, Prahran, 3004, Australia. kristy.shield@bakeridi.edu.au.
  • Byrne D; Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, 3002, Australia. david.byrne@petermac.org.
  • Deb S; Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, 3002, Australia. siddhartha.deb@petermac.org.
  • Waddell N; Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Australia. nick.waddell@imb.uq.edu.au.
  • Haviv I; Baker IDI Heart and Diabetes Institute, Prahran, 3004, Australia. izhak.haviv@bakeridi.edu.au.
  • Fox SB; Department of Pathology, Peter MacCallum Cancer Centre, East Melbourne, 3002, Australia. stephen.fox@petermac.org.
BMC Cancer ; 15: 506, 2015 Jul 08.
Article en En | MEDLINE | ID: mdl-26152113
ABSTRACT

BACKGROUND:

While a number of studies have examined miRNA profiles across the molecular subtypes of breast cancer, it is unclear whether BRCA1 basal-like cancers have a specific miRNA profile. This study aims to compare grade independent miRNA expression in luminal cancers, sporadic and BRCA1 basal-type breast cancers. It also aims to ascertain an immunohistochemical profile regulated by BRCA1 specific miRNAs for potential diagnostic use.

METHODS:

miRNA expression was assessed in 11 BRCA1 basal, 16 sporadic basal, 17 luminal grade 3 cancers via microarrays. The expression of Cyclin D1, FOXP1, FIH-1, pan-ERß, NRP1 and CD99, predicted to be regulated by BRCA1 specific miRNAs by computer prediction algorithms, was assessed via immunohistochemistry in a cohort of 35 BRCA1 and 52 sporadic basal-like cancers. Assessment of cyclin D1, FOXP1, NRP1 and CD99 expression was repeated on a validation cohort of 82 BRCA1 and 65 sporadic basal-like breast cancers.

RESULTS:

Unsupervised clustering of basal cancers resulted in a "sporadic" cluster of 11 cancers, and a "BRCA1" cluster of 16 cancers, including a subgroup composed entirely of 10 BRCA1 cancers. Compared with sporadic basal cancers, BRCA1 cancers showed reduced positivity for proteins predicted to be regulated by miRNAs FOXP1 (6/20[30 %] vs. 37/49[76 %], p < 0.001), cyclin D1 (8/22[36 %] vs. 30/46[65 %], p = 0.025), NRP1 (2/20[10 %] vs. 23/46[50 %], p = 0.002). This was confirmed in the validation cohort (all p < 0.001). Negative staining for 2 or more out of FOXP1, cyclin D1 and NRP1 predicts germline BRCA1 mutation with a sensitivity of 92 %, specificity of 44 %, positive predictive value of 38 % and a negative predictive value of 94 %.

CONCLUSION:

Sporadic and BRCA1 basal-like cancers have grade independent miRNA expression profiles. Furthermore miRNA driven differences in the expression of proteins in BRCA1 basal cancers may be detected via immunohistochemistry. These findings may have important diagnostic implications, as immunohistochemical assessment of basal cancers, in addition to the patient's family and clinical history, may potentially identify patients who may benefit from BRCA1 gene testing.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Neoplasias Basocelulares / Genes BRCA1 / MicroARNs / Estudios de Asociación Genética / Transcriptoma / Mutación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2015 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Neoplasias Basocelulares / Genes BRCA1 / MicroARNs / Estudios de Asociación Genética / Transcriptoma / Mutación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Año: 2015 Tipo del documento: Article