| Title |
MiRNA-16 inhibited oral squamous carcinoma tumor growth in vitro and in vivo via suppressing Wnt/β-catenin signaling pathway
|
|---|---|
| Published in |
OncoTargets and therapy, August 2018
|
| DOI | 10.2147/ott.s153888 |
| Pubmed ID | |
| Authors |
Lijun Liu, Han Jiang, Jin Zhao, Hao Wen |
| Abstract |
Oral carcinoma, one of the most commonly diagnosed cancers, has a poor prognosis and low survival rate with treatment. In recent years, some studies reported the upregulation of miRNA-16 (miR-16) in the oral carcinoma, whereas some other studies confirmed the downregulation of miR-16. In the current study, we aimed to investigate the function of miR-16 in oral carcinoma. Cell proliferation assay was measured by MTT assay, quantitative real time polymerase chain reaction (qRT-PCR) was used to evaluate the expression of miR-16, and apoptosis was analyzed by flow cytometry. In addition, the expression of proteins was detected by Western blot. Moreover, xenograft tumor model was established to detect the effect of miR-16 in vivo. The results suggested that miR-16 was downregulated in the oral carcinoma tissues. Overexpression of miR-16 inhibited the growth and proliferation of oral squamous carcinoma cells (OSCCs) and induced apoptosis both in vitro and in vivo, which is due to the suppression of Wnt/β-catenin signaling pathway. This study provides evidence that overexpression of miR-16 inhibits OSCC growth by regulating Wnt/β-catenin signaling. Our findings suggest that overexpression of miR-16 could be a potential approach for gene therapy of OSCC in future. |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Lecturer | 2 | 10% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Unknown | 11 | 55% |
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 11 September 2018.
All research outputs
#22,867,974
of 25,498,750 outputs
Outputs from OncoTargets and therapy
#2,088
of 3,021 outputs
Outputs of similar age
#299,311
of 342,157 outputs
Outputs of similar age from OncoTargets and therapy
#75
of 114 outputs
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