| Title |
MicroRNA-503 represses epithelial–mesenchymal transition and inhibits metastasis of osteosarcoma by targeting c-myb
|
|---|---|
| Published in |
Tumor Biology, January 2016
|
| DOI | 10.1007/s13277-016-4797-4 |
| Pubmed ID | |
| Authors |
Xinzhen Guo, Jie Zhang, Jianfeng Pang, Sheng He, Guojun Li, Yang Chong, Chao Li, Zhijian Jiao, Shiqian Zhang, Ming Shao |
| Abstract |
Deregulated expression of miRNAs contributes to the development of osteosarcoma. Our previous study has showed that miR-503 was downregulated in osteosarcoma tissues. However, the mechanism of the miR-503 in osteosarcoma development still remains largely undefined. In our study, we found that miR-503 overexpression suppressed cell invasion and migration and inhibited epithelial-to-mesenchymal transition (EMT) of MG-63. Furthermore, we identified that c-myb, an oncogene, was a direct target of miR-503. Moreover, overexpression of c-myb could rescue miR-503-suppressed invasion and EMT. The expression of c-myb was upregulated in osteosarcoma cell lines. Therefore, we conclude that high miR-503 expression suppressed osteosarcoma cell mobility and EMT through targeting c-myb, and this may serve as a therapeutic target. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 33% |
| Researcher | 3 | 20% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 40% |
| Medicine and Dentistry | 3 | 20% |
| Agricultural and Biological Sciences | 2 | 13% |
| Engineering | 1 | 7% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 October 2023.
All research outputs
#4,131,161
of 24,570,543 outputs
Outputs from Tumor Biology
#109
of 2,644 outputs
Outputs of similar age
#68,106
of 405,803 outputs
Outputs of similar age from Tumor Biology
#10
of 268 outputs
Altmetric has tracked 24,570,543 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,644 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 405,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 268 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.