| Title |
Prognostic and clinicopathological significance of long non-coding RNA in glioma
|
|---|---|
| Published in |
Neurosurgical Review, March 2018
|
| DOI | 10.1007/s10143-018-0965-x |
| Pubmed ID | |
| Authors |
Junhong Li, Ruofei Liang, Chen Song, Yufan Xiang, Yanhui Liu |
| Abstract |
Growing evidence from recent studies have revealed that long non-coding RNA (lncRNA) might be a useful prognostic biomarker for glioma; we therefore conducted the current meta-analysis to evaluate prognostic and clinicopathological predictive value of lncRNA expression for glioma patients. Eligible studies were identified through multiple research strategies in PubMed, EMBASE, Web of Science, and Cochrane Library up to May 2017. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were utilized to calculate patient's survival. Fourteen eligible studies with 1415 patients were ultimately included in this meta-analysis. Our meta-analysis showed a significant association between high lncRNA expression level and OS in glioma patients (HR 2.09, 95% CI 1.68-2.58, P < 0.001). Subgroup analysis was conducted to explore the potential heterogeneity. As for clinicopathological parameters, lncRNA expression was significantly associated with tumor diameter (< 3 vs ≥ 3 cm, OR 0.39, 95% CI 0.27-0.56, P < 0.001; < 5 vs ≥ 5 cm, OR 0.56, 95% CI 0.34-0.92, P = 0.02), tumor grade (OR 0.21, 95% CI 0.13-0.34, P < 0.001), and Karnofsky Performance Status Scale (OR 2.52, 95% CI 1.54-4.11, P < 0.001). LncRNA may serve as a biomarker for prognosis and clinicopathological features in glioma patients. |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 20% |
| Lecturer | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 30% |
| Immunology and Microbiology | 1 | 10% |
| Unknown | 6 | 60% |
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 23 March 2018.
All research outputs
#18,591,506
of 23,028,364 outputs
Outputs from Neurosurgical Review
#468
of 634 outputs
Outputs of similar age
#258,173
of 332,402 outputs
Outputs of similar age from Neurosurgical Review
#12
of 18 outputs
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