| Title |
Long noncoding RNA NBAT-1 suppresses tumorigenesis and predicts favorable prognosis in ovarian cancer
|
|---|---|
| Published in |
OncoTargets and therapy, April 2017
|
| DOI | 10.2147/ott.s124645 |
| Pubmed ID | |
| Authors |
Changsheng Yan, Yi Jiang, Yicong Wan, Lin Zhang, Jinhui Liu, Shulin Zhou, Wenjun Cheng |
| Abstract |
Long noncoding RNA (lncRNA) has been proven to be involved in many biological processes in ovarian cancer (OC). However, the mechanism still remains unknown. In this study, we screened significantly downregulated NBAT-1, which has been proven to play a significant role in breast cancer, clear cell renal cell carcinoma, and neuroblastoma, but not in OC, in two independent datasets with relatively more samples (GSE18520 and GSE38666) from Gene Expression Omnibus. We found that lncRNA NBAT-1 was obviously downregulated in OC tissue compared to normal ovarian tissue (P<0.001) which was free of OC, and the detected levels of NBAT-1 were associated with the International Federation of Gynecology and Obstetrics stage and tumor size guidelines. Moreover, it has been shown that lower levels of NBAT-1 predict poor outcomes of OC. In order to investigate the functional role of NBAT-1, pcDNA-NBAT-1 and empty vector were transfected into TOV112D and OVCAR-3 cell lines. Overexpressed NBAT-1 significantly inhibited cell proliferation, invasion, and migration in both TOV112D and OVCAR-3 cell lines. Finally, Western blot assay indicated that NBAT-1 may exert its function by targeting the ERK1/2 and AKT signaling pathways. In addition, tumor formation growth assay showed that overexpressed NBAT-1 significantly suppresses tumor growth in vivo. In conclusion, our study suggests that NBAT-1 acts as an anti-oncogene in the development of OC. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 5% |
| Unknown | 18 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Researcher | 4 | 21% |
| Lecturer > Senior Lecturer | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 26% |
| Medicine and Dentistry | 3 | 16% |
| Agricultural and Biological Sciences | 2 | 11% |
| Unspecified | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 4 | 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 25 April 2017.
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#20,660,571
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#1,597
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Outputs of similar age
#249,416
of 323,961 outputs
Outputs of similar age from OncoTargets and therapy
#56
of 92 outputs
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