miR-10b, miR-26a, miR-146a And miR-153 Expression in Triple Negative Vs Non Triple Negative Breast Cancer: Potential Biomarkers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

Insaf Fkih M’hamed, Maud Privat, Mounir Trimeche, Frédérique Penault-Llorca, Yves-Jean Bignon, Abderraouf Kenani

ABSTRACT

MicroRNAs (miRNAs) are small non-coding RNAs composed of 18-25 nucleotides that can post-transcriptionally regulate gene expression and have key regulatory roles in cancer, acting as both oncogenes and tumor suppressors. About 1000 genes in humans encode miRNAs, which account for approximately 3% of the human genome, and up to 30% of human protein coding genes may be regulated by miRNAs. The objective of this article is to evaluate the expression profile of four miRNAs previously implicated in triple negative breast cancer: miR-10b, miR-26a, miR-146a and miR-153, and to determine their possible interaction in triple negative and non triple negative breast cancer based on clinical outcome and the expression of BRCA1. 24 triple-negative and 13 non triple negative breast cancer cases, were studied by q-RT-PCR and immunohistochemistry to determine the expression of the four studied miRNAs and the BRCA1 protein, respectively. We observed that the BRCA1 protein was absent in 62.5% of the triple negative cases. Besides, the miR-146a and miR-26a were over expressed in triple negative breast cancer. These two miRNAs, miR-10b and miR-153 were significantly associated to lymph node metastases occurrence in triple negative breast carcinoma. All the analyzed microRNAs were not associated with the expression of BRCA1 in our conditions. Our work provides evidence that miR-146a, miR-26a, miR-10b and miR-153 could be defined as biomarkers in triple negative breast cancer to predict lymph node metastases (LNM). More... »

PAGES

815-827

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12253-017-0188-4

DOI

http://dx.doi.org/10.1007/s12253-017-0188-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029333120

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28101798


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12253-017-0188-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12253-017-0188-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12253-017-0188-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12253-017-0188-4'


 

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