| Title |
MiR-502-3P suppresses cell proliferation, migration, and invasion in hepatocellular carcinoma by targeting SET
|
|---|---|
| Published in |
OncoTargets and therapy, May 2016
|
| DOI | 10.2147/ott.s87183 |
| Pubmed ID | |
| Authors |
Haosheng Jin, Min Yu, Ye Lin, Baohua Hou, Zhongshi Wu, Zhide Li, Jian Sun |
| Abstract |
Increasing evidences show that microRNAs are engaged in hepatocellular carcinoma (HCC). The aim of this study was to investigate the role of miR-502-3P in HCC and to identify its underlying mechanism. The expression levels of miR-502-3P were assessed in multiple HCC cell lines and in liver tissues of patients with HCC. We further examined the effects of miR-502-3P on malignant behavior of HCC. The molecular target of miR-502-3P was identified using a computer algorithm and confirmed experimentally. Downregulation of miR-502-3P was found in both HCC cell lines and human samples. Overexpression of miR-502-3P dramatically inhibits HCC proliferation, metastasis, invasion, and cell adhesion. We further verify the SET as a novel and direct target of miR-502-3P in HCCs. Taken together, overexpression of miR-502-3P or downregulation of SET may prove beneficial as a therapeutic strategy for HCC treatment. |
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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Doctoral Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Agricultural and Biological Sciences | 2 | 14% |
| Immunology and Microbiology | 2 | 14% |
| Medicine and Dentistry | 2 | 14% |
| Unknown | 4 | 29% |
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 23 June 2016.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from OncoTargets and therapy
#1,597
of 3,016 outputs
Outputs of similar age
#232,135
of 311,864 outputs
Outputs of similar age from OncoTargets and therapy
#60
of 123 outputs
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