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Mendeley readers
Attention Score in Context
| Title |
The long non-coding RNA CCAT2 is up-regulated in ovarian cancer and associated with poor prognosis
|
|---|---|
| Published in |
Diagnostic Pathology, June 2016
|
| DOI | 10.1186/s13000-016-0499-x |
| Pubmed ID | |
| Authors |
Shuying Huang, Cheng Qing, Zikun Huang, Yuanfang Zhu |
| Abstract |
Ovarian cancer is a malignant tumor with a poor prognosis. Accumulating evidence demonstrates that long non-coding RNAs (lncRNAs) are emerging regulators in cancer biology, and can be used as potential biomarkers for cancer diagnosis, prognosis and targeted therapy. The lncRNA CCAT2 (colon cancer associated transcript 2) was recently shown to be involved in several cancers; however, its role in ovarian cancer remains unknown. Expression levels of the lncRNA CCAT2 in ovarian cancer tissues, adjacent normal tissues, and cell lines were assessed by quantitative real-time PCR. Then, the associations of CCAT2 expression levels with clinicopathological features and prognosis were evaluated. In addition, CCAT2 functions in tumor progression and invasion were further determined by siRNA-induced CCAT2 silencing in vitro. Expression levels of the lncRNA CCAT2 in ovarian cancer tissues and cell lines were significantly higher compared with values obtained for adjacent non-tumor tissues and normal ovarian epithelial cells. Interestingly, higher CCAT2 expression levels were associated with a shorter overall survival (P = 0.006) and disease-free survival (P = 0.001) in ovarian cancer patients. In addition, CCAT2 expression was positively correlated with FIGO stage (P = 0.002), tumor grade (P = 0.006) and distant metastasis (P < 0.001). Moreover, CCAT2 knockdown in ovarian cancer cells markedly suppressed cell proliferation, migration, and invasion. The lncRNA CCAT2 is a novel factor involved in ovarian cancer progression, and constitutes a potential prognostic biomarker and therapeutic target for patients with ovarian cancer. |
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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 9 | 23% |
| Unknown | 7 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 31% |
| Medicine and Dentistry | 7 | 18% |
| Nursing and Health Professions | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 7 | 18% |
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 June 2016.
All research outputs
#20,332,117
of 22,876,619 outputs
Outputs from Diagnostic Pathology
#949
of 1,130 outputs
Outputs of similar age
#297,733
of 345,197 outputs
Outputs of similar age from Diagnostic Pathology
#6
of 8 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,130 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.