1. miR-10b, miR-26a, miR-146a And miR-153 Expression in Triple Negative Vs Non Triple Negative Breast Cancer: Potential Biomarkers.
- Author
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Fkih M'hamed I, Privat M, Trimeche M, Penault-Llorca F, Bignon YJ, and Kenani A
- Subjects
- Adult, Aged, Aged, 80 and over, Biomarkers, Tumor analysis, Breast Neoplasms genetics, Humans, Lymphatic Metastasis genetics, Lymphatic Metastasis pathology, MicroRNAs biosynthesis, Middle Aged, Biomarkers, Tumor genetics, MicroRNAs analysis, Triple Negative Breast Neoplasms genetics, Triple Negative Breast Neoplasms pathology
- 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).
- Published
- 2017
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