Back to Search Start Over

miRNA expression profiling of hereditary breast tumors from BRCA1- and BRCA2-germline mutation carriers in Brazil

Authors :
Karen C. B. Souza
Edenir Inêz Palmero
Rui Manuel Reis
Lucas Faria Abrahão-Machado
Adriane Feijó Evangelista
Gabriela Carvalho Fernandes
René Aloisio da Costa Vieira
Renato José de Oliveira-Silva
Iara Viana Vidigal Santana
Danielle Pessôa-Pereira
Rhafaela Lima Causin
Vinicius Duval da Silva
Márcia Martins Marques
Source :
BMC Cancer, BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)
Publication Year :
2020
Publisher :
BioMed Central, 2020.

Abstract

Background MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene expression regulation and have been described as key regulators of carcinogenesis. Aberrant miRNA expression has been frequently reported in sporadic breast cancers, but few studies have focused on profiling hereditary breast cancers. In this study, we aimed to identify specific miRNA signatures in hereditary breast tumors and to compare with sporadic breast cancer and normal breast tissues. Methods Global miRNA expression profiling using NanoString technology was performed on 43 hereditary breast tumors (15 BRCA1, 14 BRCA2, and 14 BRCAX), 23 sporadic breast tumors and 8 normal breast tissues. These normal breast tissues derived from BRCA1- and BRCA2- mutation carriers (n = 5) and non-mutation carriers (n = 3). Subsequently, we performed receiver operating characteristic (ROC) curve analyses to evaluate the diagnostic performance of differentially expressed miRNAs. Putative target genes of each miRNAs considered as potential biomarkers were identified using miRDIP platform and used for pathway enrichment analysis. Results miRNA expression analyses identified several profiles that were specific to hereditary breast cancers. A total of 25 miRNAs were found to be differentially expressed (fold change: > 2.0 and p 0.75) in hereditary breast tumors compared to normal breast tissues, with an expressive upregulation among BRCAX cases. Furthermore, bioinformatic analysis revealed that these miRNAs shared target genes involved in ErbB, FoxO, and PI3K-Akt signaling pathways. Conclusions Our results showed that miRNA expression profiling can differentiate hereditary from sporadic breast tumors and normal breast tissues. These miRNAs were remarkably deregulated in BRCAX hereditary breast cancers. Therefore, miRNA signatures can be used as potential novel diagnostic biomarkers for the prediction of BRCA1/2- germline mutations and may be useful for future clinical management.

Details

Language :
English
ISSN :
14712407
Volume :
20
Database :
OpenAIRE
Journal :
BMC Cancer
Accession number :
edsair.doi.dedup.....0e55fa9eebaec1813466a2b953c92ab7