| Title |
Prognostic and clinicopathological significance of Beclin-1 in non-small-cell lung cancer: a meta-analysis
|
|---|---|
| Published in |
OncoTargets and therapy, July 2018
|
| DOI | 10.2147/ott.s164987 |
| Pubmed ID | |
| Authors |
Tianliang Zheng, Deping Li, Zhanfeng He, Shuaibing Feng, Song Zhao |
| Abstract |
Autophagy plays a key role in the development of non-small-cell lung cancer (NSCLC). Beclin-1 is essential for the initiation and regulation of autophagy. Accumulated studies have investigated the prognostic role of Beclin-1 in NSCLC, but conclusions remain controversial. Therefore, we conducted this meta-analysis to assess the potential significance of Beclin-1 in NSCLC. PubMed and Embase databases were searched for eligible studies published before December 31, 2017. Odds ratio (OR) was pooled to evaluate the clinicopathological significance of Beclin-1 in NSCLC. Hazard ratio (HR) was adopted to assess the association of Beclin-1 with overall survival (OS). Eight studies involving 1,159 patients were included in this meta-analysis. The pooled results showed that high Beclin-1 expression was significantly correlated with earlier tumor grade (OR=0.54, 95% CI: 0.36-0.81, P=0.003), less nodal involvement (OR=0.56, 95% CI: 0.37-0.86, P=0.007), earlier TNM stage (OR=0.62, 95% CI: 0.43-0.89, P=0.010), smaller tumor size (OR=0.54, 95% CI: 0.36-0.81, P=0.003), better differentiation (OR=0.48, 95% CI: 0.36-0.64, P<0.001), and less recurrence (OR=0.24, 95% CI: 0.14-0.41, P<0.001). Moreover, high level of Beclin-1 was significantly associated with better OS in NSCLC (HR=0.41, 95% CI: 0.26-0.64, P<0.001). Our meta-analysis suggests that high Beclin-1 expression predicts a better clinicopathological status and a better prognosis in NSCLC. Beclin-1 might act as a promising prognostic biomarker for NSCLC. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 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% |
| Student > Bachelor | 2 | 20% |
| Lecturer > Senior Lecturer | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Lecturer | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Medicine and Dentistry | 3 | 30% |
| Agricultural and Biological Sciences | 1 | 10% |
| Veterinary Science and Veterinary Medicine | 1 | 10% |
| Unknown | 2 | 20% |
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 28 July 2018.
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#17,292,294
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Outputs from OncoTargets and therapy
#1,147
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#221,450
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Outputs of similar age from OncoTargets and therapy
#51
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