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MicroRNA-9 is associated with epithelial-mesenchymal transition, breast cancer stem cell phenotype, and tumor progression in breast cancer.
- Source :
-
Breast cancer research and treatment [Breast Cancer Res Treat] 2014 Aug; Vol. 147 (1), pp. 39-49. Date of Electronic Publication: 2014 Aug 03. - Publication Year :
- 2014
-
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.
- Subjects :
- Adult
Aged
Aged, 80 and over
Biomarkers, Tumor metabolism
Breast Neoplasms genetics
Breast Neoplasms mortality
CD24 Antigen genetics
CD24 Antigen metabolism
Cell Movement
Disease Progression
Female
Follow-Up Studies
Gene Expression Regulation, Neoplastic
Humans
Hyaluronan Receptors genetics
Hyaluronan Receptors metabolism
Immunoenzyme Techniques
Middle Aged
Neoplasm Grading
Neoplasm Invasiveness
Neoplasm Recurrence, Local genetics
Neoplasm Recurrence, Local mortality
Neoplasm Staging
Neoplastic Stem Cells metabolism
Phenotype
Prognosis
RNA, Messenger genetics
Real-Time Polymerase Chain Reaction
Reverse Transcriptase Polymerase Chain Reaction
Survival Rate
Tumor Suppressor Protein p53 genetics
Tumor Suppressor Protein p53 metabolism
Biomarkers, Tumor genetics
Breast Neoplasms pathology
Epithelial-Mesenchymal Transition
MicroRNAs genetics
Neoplasm Recurrence, Local pathology
Neoplastic Stem Cells pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1573-7217
- Volume :
- 147
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Breast cancer research and treatment
- Publication Type :
- Academic Journal
- Accession number :
- 25086633
- Full Text :
- https://doi.org/10.1007/s10549-014-3069-5