| Title |
Long non-coding RNA TUSC7 acts a molecular sponge for miR-10a and suppresses EMT in hepatocellular carcinoma
|
|---|---|
| Published in |
Tumor Biology, March 2016
|
| DOI | 10.1007/s13277-016-4892-6 |
| Pubmed ID | |
| Authors |
Yufeng Wang, Zhikui Liu, Bowen Yao, Changwei Dou, Meng Xu, Yumo Xue, Linglong Ding, Yuli Jia, Hongyong Zhang, Qing Li, Kangsheng Tu, Yang Jiao, Qingguang Liu, Cheng Guo |
| Abstract |
Despite advances in the roles of long non-coding RNA (lncRNA) tumor suppressor candidate 7 (TUSC7) in cancer biology, which has been identified as a tumor suppressor by regulating cell proliferation, apoptosis, migration, invasion, cell cycle, and tumor growth, the function of TUSC7 in hepatocellular carcinoma (HCC) remains unknown. In this study, we observed that the expression of TUSC7 was immensely decreased in HCC. Clinically, the lower expression of TUSC7 predicted poorer survival and may be an independent risk factor for HCC patients. Moreover, TUSC7 inhibited cell metastasis, invasion, and epithelial-to-mesenchymal transformation (EMT) through competitively binding miR-10a. Furthermore, we found that TUSC7 could decrease the expression of Eph tyrosine kinase receptor A4 (EphA4), a downstream target of miR-10a as well as an EMT suppressor, through TUSC7-miR-10a-EphA4 axis. Taken together, we demonstrate that TUSC7 suppresses EMT through the TUSC7-miR-10a-EphA4 axis, which may be a potential target for therapeutic intervention in HCC. |
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 % |
|---|---|---|
| United States | 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Student > Master | 5 | 18% |
| Researcher | 4 | 14% |
| Student > Bachelor | 2 | 7% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 39% |
| Medicine and Dentistry | 7 | 25% |
| Agricultural and Biological Sciences | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 21% |
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 24 March 2016.
All research outputs
#20,983,210
of 23,613,071 outputs
Outputs from Tumor Biology
#1,851
of 2,614 outputs
Outputs of similar age
#256,263
of 301,515 outputs
Outputs of similar age from Tumor Biology
#47
of 64 outputs
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