| Title |
NEAT1 regulates cell proliferation and apoptosis of ovarian cancer by miR-34a-5p/BCL2
|
|---|---|
| Published in |
OncoTargets and therapy, October 2017
|
| DOI | 10.2147/ott.s142446 |
| Pubmed ID | |
| Authors |
Nan Ding, Haiying Wu, Tao Tao, Erxuan Peng |
| Abstract |
Nuclear enriched abundant transcript 1 (NEAT1) has been demonstrated to act as a tumor inhibitor in many cancers. However, the role of NEAT1 in the development of ovarian cancer (OC) remains far from being elaborated. Hence, the aim of this study is to investigate the expression and function of NEAT1 in OC. The expression level of NEAT1 was determined by quantitative real-time polymerase chain reaction in OC cell lines. MTT assay, caspase-3 activity assay, and flow cytometry analysis were conducted to investigate the effects of NEAT1, miR-34a-5p, or B-cell lymphoma-2 (BCL2) on OC cell proliferation and apoptosis. Luciferase reporter assay was used to confirm the interaction of NEAT1, BCL2, and miR-34a-5p in OC cells. NEAT1 was significantly upregulated in OC cell lines. NEAT1 overexpression promoted proliferation by increasing the proportion of cells in S phase and suppressed apoptosis of OC cells, while knockdown of NEAT1 had the opposite effect. In addition, NEAT1 was demonstrated to directly interact with miR-34a-5p and exert its oncogenic role in OC by negatively regulating miR-34a-5p. Moreover, miR-34a-5p could directly target BCL2 and suppressed its expression. miR-34a-5p overexpression suppressed OC cell proliferation and triggered apoptosis by targeting BCL2. Furthermore, NEAT1 knockdown suppressed BCL2 expression, while anti-miR-34a-5p dramatically abated the inhibitory effect of si-NEAT1 on BCL2 expression. NEAT1 regulated proliferation and apoptosis of OC cells by miR-34a-5p/BCL2, providing a potential therapeutic approach for the treatment of OC patients. |
X Demographics
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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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Student > Ph. D. Student | 4 | 18% |
| Student > Doctoral Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Other | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 36% |
| Agricultural and Biological Sciences | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |
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 October 2017.
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#20,663,600
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
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Outputs of similar age
#256,968
of 331,218 outputs
Outputs of similar age from OncoTargets and therapy
#52
of 77 outputs
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