Literature DB >> 25086633

MicroRNA-9 is associated with epithelial-mesenchymal transition, breast cancer stem cell phenotype, and tumor progression in breast cancer.

Jae Moon Gwak1, Hyun Jeong Kim, Eun Joo Kim, Yul Ri Chung, Sumi Yun, An Na Seo, Hee Jin Lee, So Yeon Park.   

Abstract

MicroRNAs (miRNAs) are involved in the progression of breast cancer. Some miRNAs, especially the miR-200 family, miR-9, and miR-155 have been reported to be associated with epithelial-mesenchymal transition (EMT) and breast cancer stem cell (BCSC) phenotypes. This study was designed to evaluate the expression levels of these miRNAs in human breast cancer samples and analyzed their relationship with clinicopathologic features of the tumor including breast cancer subtype, EMT, BCSC phenotype, and prognosis. Expression levels of the miR-200 family, miR-9, and miR-155 were quantified using qRT-PCR. Breast cancer subtype, BCSC phenotype (CD44+/CD24- and ALDH1+), and expression of EMT markers (vimentin expression and E-cadherin loss) were evaluated by immunohistochemistry. miR-9 was more highly expressed in HER2+ and triple-negative subtypes than in luminal subtypes. Its expression level was significantly higher in tumors with high T stage, high histologic grade, p53 overexpression, and high proliferation index. Expression of miR-9 was also higher in tumors showing the CD44+/CD24- phenotype, vimentin expression, and E-cadherin loss. Furthermore, high level of miR-9 expression was found to be an independent prognostic factor for poor disease-free survival of the patients. Expression of miR-200a and miR-141 was highest in luminal A subtype, and miR-155 expression was highest in triple-negative subtype. Although the expression levels of some miR-200 family members and miR-155 showed difference with regard to EMT or BCSC phenotype, they were not associated with patients' prognosis. In conclusion, overexpression of miR-9 is found in tumors with aggressive phenotypes and is associated with poor prognosis in breast cancer, suggesting that it may serve as a potential biomarker for breast cancer progression and a target for treatment.

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Year:  2014        PMID: 25086633     DOI: 10.1007/s10549-014-3069-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  61 in total

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