| Title |
MicroRNA-200c and microRNA-141 as potential diagnostic and prognostic biomarkers for ovarian cancer
|
|---|---|
| Published in |
Tumor Biology, February 2015
|
| DOI | 10.1007/s13277-015-3138-3 |
| Pubmed ID | |
| Authors |
Ying-chun Gao, Jie Wu |
| Abstract |
Ovarian cancer is the fifth leading cause of female death globally due to its low survival rates. Thus, improved approaches for ovarian cancer detection are urgently needed. MicroRNAs as a new class of biomarkers have been explored in recent studies. This study was trying to identify and validate the two kinds of serum microRNA (miR-200c and miR-141) as biomarkers for ovarian cancer. We extracted serum samples from 74 epithelial ovarian cancer patients, 19 borderline ovarian cancer, and 50 healthy controls. Relative expression of these miRNA markers were measured by quantificational real-time polymerase chain reaction assay (qRT-PCR). Receiver operating characteristics (ROC) and area under the ROC curve (AUC) were used to validate the diagnostic value of miR-200c and miR-141. Kaplan-Meier curve and the log-rank test were conducted to detect the prognostic value of miR-200c and miR-141. miR-200c and miR-141 were significantly elevated in the epithelial ovarian cancer patients compared to healthy controls. The relative expression level of miR-200c showed a descending trend from early stages to advanced stages, while the level of miR-141 displayed an escalating trend. Patients with high miR-200c level achieved significantly a higher 2-year survival rate compared with the other group (P < 0.001), while low miR-141 group showed a significantly higher survival rate. The results of the current study suggested that serum miR-200c and miR-141 were able to discriminate the ovarian cancer patients from healthy controls. In addition, miR-200c and miR-141 may be predictive biomarkers for ovarian cancer prognosis. Further large-scale studies are still needed to confirm our findings. |
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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Researcher | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 29% |
| Medicine and Dentistry | 13 | 27% |
| Agricultural and Biological Sciences | 6 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 August 2020.
All research outputs
#7,207,700
of 22,783,848 outputs
Outputs from Tumor Biology
#360
of 2,622 outputs
Outputs of similar age
#101,608
of 352,508 outputs
Outputs of similar age from Tumor Biology
#22
of 164 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 84% of its peers.
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We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.