| Title |
Prognostic role of microRNA-150 in various carcinomas: a meta-analysis
|
|---|---|
| Published in |
OncoTargets and therapy, March 2016
|
| DOI | 10.2147/ott.s97969 |
| Pubmed ID | |
| Authors |
Wei Wang, Xinshuai Wang, Yali Zhang, Dan Wang, Hui Gao, Lijuan Wang, Shegan Gao |
| Abstract |
MicroRNA-150 (miR-150) was revealed to be an attractive prognostic biomarker in recent studies. However, the prognostic significance of miR-150 expression in cancer remains inconclusive. The aim of this study was to summarize the global predicting role of miR-150 in survival in patients with various carcinomas. Eligible studies were identified through multiple search strategies. Data were extracted from the studies by investigating the relationship between miR-150 expression and survival in patients with cancer. A meta-analysis of the hazard ratio (HR) was then performed to evaluate the prognostic role of miR-150 in different tumors. Pooled HRs of miR-150 for overall survival and progression-free survival were calculated to measure the effect of miR-150 expression on prognosis. This meta-analysis included nine published studies concerning various carcinomas. Our results indicate that an elevated miR-150 expression is associated with an enhanced overall survival in the digestive tract cancer subgroup (HR =0.57, 95% confidence interval [CI]: 0.37-0.90) and a poor progression-free survival in various cancers (HR =3.08, 95% CI: 2.00-4.75). miR-150 may have the potential to become a new useful prognostic factor to monitor cancer prognosis and progression. However, given the current insufficient relevant data, further clinical studies are needed. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 4 | 13% |
| Student > Bachelor | 4 | 13% |
| Other | 3 | 9% |
| Other | 5 | 16% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 41% |
| Biochemistry, Genetics and Molecular Biology | 9 | 28% |
| Agricultural and Biological Sciences | 2 | 6% |
| Materials Science | 1 | 3% |
| Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 6 | 19% |
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 March 2019.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from OncoTargets and therapy
#1,447
of 3,016 outputs
Outputs of similar age
#216,260
of 312,604 outputs
Outputs of similar age from OncoTargets and therapy
#55
of 108 outputs
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