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Prognostic value of long non-coding RNA ZEB1-AS1 in Chinese cancer patients: A Meta-analysis
- Source :
- Medicine
- Publication Year :
- 2019
-
Abstract
- Background: Aberrant expression of long non-coding RNA Zinc finger E-box binding homeobox 1 antisense 1 (lncRNA ZEB1-AS1) can be detected in numerous malignancies. Therefore, a meta-analysis had been carried out in this study, aiming to examine the prognostic value of lncRNA ZEB1-AS1 in malignancies. Methods: Electronic databases, such as PubMed, OVID as well as Web of Science, had been systemically retrieved from inception to February 14th, 2019. Besides, the hazard ratios (HRs), together with the corresponding 95% confidence intervals (CIs), had also been analyzed for determining the association of lncRNA ZEB1-AS1 expression with the overall survival (OS) and recurrence-free survival (RFS). In addition, the pooled odds ratios (ORs) would also be computed using the Stata SE12.0 software for evaluating the relationship of lncRNA ZEB1-AS1 expression with pathological factors. Results: A total of 21 original studies involving 1801 cancer patients had been enrolled into the current meta-analysis. As suggested by the pooled HR, high expression of lncRNA ZEB1-AS1 had displayed marked correlation with OS (HR = 2.16, 95% CI: 1.89–2.47) among cancer patients, and no significant heterogeneity was detected. Additionally, high expression of lncRNA ZEB1-AS1 was also markedly associated with RFS among cancer patients (pooled HR = 2.55, 95% CI: 1.61–4.03). Besides, the expression of lncRNA ZEB1-AS1 had displayed marked correlation with poor histological grade (PHG) (OR = 2.86, 95% CI: 2.11–3.87), high tumor stage (HTS) (OR = 3.81, 95% CI: 2.72–5.34) as well as lymph node metastasis (LNM) (OR = 3.33, 95% CI: 2.47–4.49). Additionally, no distinct asymmetry had been detected for RFS, PHG as well as HTS based on Begg funnel plot. Conclusions: Taken together, high expression of lncRNA ZEB1-AS1 can predict the dismal OS, RFS, LNM, PHG, and HTS, indicating that lncRNA ZEB1-AS1 can be potentially used as a new biomarker to predict the dismal prognosis for cancer patients.
- Subjects :
- Oncology
medicine.medical_specialty
China
ZEB1-AS1
03 medical and health sciences
0302 clinical medicine
Text mining
Internal medicine
Neoplasms
medicine
Biomarkers, Tumor
Odds Ratio
Humans
030212 general & internal medicine
Survival analysis
Neoplasm Staging
business.industry
Hazard ratio
Clinical Studies as Topic
Cancer
General Medicine
Odds ratio
medicine.disease
Prognosis
Survival Analysis
Confidence interval
LncRNA
meta-analysis
030220 oncology & carcinogenesis
Meta-analysis
Lymphatic Metastasis
Biomarker (medicine)
RNA, Long Noncoding
Neoplasm Recurrence, Local
business
Systematic Review and Meta-Analysis
neoplasm
Research Article
Subjects
Details
- ISSN :
- 15365964
- Volume :
- 98
- Issue :
- 17
- Database :
- OpenAIRE
- Journal :
- Medicine
- Accession number :
- edsair.doi.dedup.....1db1624ad09c79979aa3e2d33423bb92