The utility of long non-coding RNA ZEB1-AS1 as a prognostic biomarker in human solid tumors: A meta-analysis
Abstract
PURPOSE
This meta-analysis aims to assess the prognostic value of long non-coding RNA ZEB1-AS1 in human solid tumors.
METHODS
We searched the available databases up to January 2018. Pooled hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were used to examine the prognostic impact of ZEB1-AS1 on patient survival.
RESULTS
Eight eligible studies with a total of 586 patients were enrolled. A significant association was observed between ZEB1-AS1 overexpression and poor overall survival (OS; HR = 2.195, 95% CI: 1.749-2.755) as well as unfavorable recurrence-free survival (pooled HR = 2.205, 95% CI: 1.486-3.270), and no heterogeneity was found across these studies (p = .962, I2 = 0%). Subsequent subgroup analyses showed that cancer type, sample size, follow up months, and HR estimation method did not alter the significant prognostic value of ZEB1-AS1. ZEB1-AS1 expression was indicated to be an independent prognostic factor for tumor OS (pooled HR = 2.177, 95% CI:1.545-3.069). Furthermore, we found that increased ZEB1-AS1 expression was significantly associated with tumor stage [III-IV vs. I-II: odds ratio (OR) = 1.644, 95% CI: 1.201-2.249] and lymph node metastasis (Positive vs. Negative: OR = 2.413, 95% CI: 1.504-3.873).
CONCLUSION
High expression level of ZEB1-AS1 was associated with unfavorable survival outcome for cancer patients, and ZEB1-AS1 could be used as a prognostic predictor for cancers.
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 586 participants or records.
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