| Title |
miR-497 inhibits epithelial mesenchymal transition in breast carcinoma by targeting Slug
|
|---|---|
| Published in |
Tumor Biology, December 2015
|
| DOI | 10.1007/s13277-015-4665-7 |
| Pubmed ID | |
| Authors |
Zhihao Wu, Xiangli Li, Xuehong Cai, Chenggang Huang, Min Zheng |
| Abstract |
Epithelial to mesenchymal transition (EMT) is a critical step in the growth and dissemination of malignant diseases, including breast cancer. It is known that microRNAs (miRNAs) play important roles in the regulation of tumor properties in cancers. However, whether miR-497 contributes to EMT in breast cancer cells remains unknown. Our study demonstrated that the expression of miR-497 was significantly decreased in human breast cancer cell lines and breast cancer specimens. In breast cancer cells, EMT was inhibited and promoted by the over-expression as well as depletion of miR-497, respectively. Dual-Luciferase ReporterAassay confirmed that Slug was a direct target of miR-497. The upregulation of miR-497 in breast cancer cells suppressed cell proliferation and induced apoptosis both in vitro and in vivo. Correlation analysis indicated that miR-497 was highly negatively correlated with Slug expression in breast cancer specimens. The knockdown of Slug expression in breast cancer cells significantly suppressed cell proliferation and promoted apoptosis. Our results suggested that the expression of miR-497 is significantly correlated with EMT in breast cancer cells by regulating Slug at the transcriptional as well as translational levels. Therefore, targeting miR-497 may provide a novel strategy for the treatment of breast cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 30% |
| Student > Doctoral Student | 2 | 20% |
| Student > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 40% |
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2015.
All research outputs
#19,054,237
of 23,613,071 outputs
Outputs from Tumor Biology
#1,389
of 2,614 outputs
Outputs of similar age
#285,723
of 393,660 outputs
Outputs of similar age from Tumor Biology
#117
of 302 outputs
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