论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
Authors Zheng T, Li D, He Z, Feng S, Zhao S
Received 8 February 2018
Accepted for publication 10 April 2018
Published 19 July 2018 Volume 2018:11 Pages 4167—4175
DOI https://doi.org/10.2147/OTT.S164987
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Cristina Weinberg
Peer reviewer comments 3
Editor who approved publication: Dr Carlos E Vigil
Background: 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.
Materials and
methods: 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).
Results: 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).
Conclusion: 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.
Keywords: non-small-cell lung cancer, autophagy, Beclin-1, prognosis,
meta-analysis