| Title |
UCA1 functions as a competing endogenous RNA to suppress epithelial ovarian cancer metastasis
|
|---|---|
| Published in |
Tumor Biology, February 2016
|
| DOI | 10.1007/s13277-016-4917-1 |
| Pubmed ID | |
| Authors |
Yijun Yang, Yi Jiang, Yicong Wan, Lin Zhang, Jiangnan Qiu, Shulin Zhou, Wenjun Cheng |
| Abstract |
Urothelial cancer associated 1 (UCA1) is an example of functional long noncoding RNAs involved in many biologic processes. However, little is known about the association between UCA1 expression and metastasis in epithelial ovarian cancer (EOC). Findings of this study confirmed that not only UCA1 was aberrantly upregulated in EOC tissues and cells, but also correlated with status of lymph node metastasis and FIGO stage. Furthermore, univariate and multivariate analyses showed that UCA1 was a prognostic factor for overall survival in EOC patients. In vitro, knockdown of UCA1 reduced the invasion and migration ability of EOC cells. The results showed that UCA1 could function as an endogenous sponge by directly binding to miR-485-5p. Depletion of UCA1 was involved in the downregulation of matrix metallopeptidase 14 (MMP14) expression, a target gene of miR-485-5p. In conclusion, our work indicates that UCA1 is a new prognostic biomarker for EOC, establishing a novel connection among UCA1, miR-485-5p, and MMP14 in EOC metastasis. |
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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Student > Master | 5 | 17% |
| Student > Bachelor | 3 | 10% |
| Researcher | 2 | 7% |
| Lecturer > Senior Lecturer | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 28% |
| Agricultural and Biological Sciences | 5 | 17% |
| Medicine and Dentistry | 3 | 10% |
| Immunology and Microbiology | 3 | 10% |
| Nursing and Health Professions | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 6 | 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 13 February 2016.
All research outputs
#18,439,846
of 22,846,662 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#290,284
of 400,570 outputs
Outputs of similar age from Tumor Biology
#67
of 182 outputs
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