已发表论文

Nanog 在非小细胞肺癌中表达的临床病理和预后意义:一项荟萃分析

 

Authors Huang G, Zhang J, Wang X, Chen Y, Liu D, Guo S

Received 18 January 2019

Accepted for publication 5 April 2019

Published 13 May 2019 Volume 2019:12 Pages 3609—3617

DOI https://doi.org/10.2147/OTT.S202081

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Ms Rachel Predeepa

Peer reviewer comments 2

Editor who approved publication: Dr Carlos E Vigil

Background: Nanog has been found to be overexpressed in various cancers. However, the association between Nanog expression and prognosis or clinicopathological features is still controversial. Therefore, this meta-analysis was conducted to identify whether Nanog expression was associated with prognosis or clinicopathological characteristics in non-small cell lung cancer (NSCLC).
Methods: We searched Embase, PubMed, Web of Science, the Cochrane Library, the Chinese National Knowledge Infrastructure database (CNKI), and the Wanfang database for articles. Pooled hazard ratios (HR), odds ratios (OR), and corresponding 95% confidence intervals (CI) were utilized to evaluate the relationship between Nanog expression and prognosis or clinicopathological characteristics in NSCLC.
Results: The results showed that high expression of Nanog was significantly associated with poor overall survival (OS) (HR=1.95, 95% CI: 1.38–2.75, =0.000). Additionally, high Nanog expression was significantly correlated with tumor differentiation (OR=3.18, 95% CI: 1.69–5.98, =0.000) and TNM stage (OR=1.78, 95% CI: 1.28–2.47, =0.001). However, no significant relationship was observed between Nanog expression and other clinicopathological features, including gender (OR=0.95, 95% CI: 0.69–1.33, =0.783), age (OR=0.78, 95% CI: 0.57–1.07, =0.119), tumor size (OR=0.87, 95% CI: 0.26–2.95, =0.824), and lymph node metastasis (OR=1.29, 95% CI: 0.94–1.77, =0.121).
Conclusion: High Nanog expression was associated with poor prognosis in patients with NSCLC, and Nanog may serve as a prognostic predictor in NSCLC.
Keywords: Nanog, NSCLC, meta-analysis




Figure 1 Flow chart of literature search and selection.