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Long noncoding RNA activated by TGF-β in human cancers: A meta-analysis.

Authors :
Fan, Yang-Hua
Ji, Chen-xing
Xu, Bing
Fan, Heng-yi
Cheng, Zu-jue
Zhu, Xin-Gen
Source :
Clinica Chimica Acta. May2017, Vol. 468, p10-16. 7p.
Publication Year :
2017

Abstract

Background Because long non-coding RNA ATB (activated by TGF-β) is dysregulated in many cancers, we performed a meta-analysis to determine its prognostic potential in malignant tumors. Methods We searched electronic databases, including PubMed, Medline, OVID, Cochrane Library and Web of Science from inception until November 15, 2016 and identified eight studies with 818 cancer patients for the meta-analysis. We analyzed the hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the relationship between lncRNA-ATB expression and overall survival (OS), recurrence -free survival (RFS), disease-free survival (DFS). We also use RevMan5.3 software to calculate odds ratio (ORs) to assess the association between lncRNA-ATB expression and pathological parameters including lymph node metastasis (LNM), distant metastasis (DM) and tumor stage. Results Our analysis showed that increased lncRNA-ATB expression was associated with OS (HR = 2.82, 95% CI:1.98–4.00, P < 0.00001), DFS (HR = 2.75, 95% CI:1.73–4.38, P < 0.0001), RFS(HR = 3.96, 95% CI:2.30–6.81, P < 0.00001), LNM (OR = 4.07, 95% CI 1.74–9.53, P = 0.001), DM (OR = 3.21, 95% CI 1.06–9.72, P = 0.04) and high tumor stage (OR = 2.81, 95% 1.78–4.43, P < 0.0001) in patients with other types of cancers that excluded pancreatic cancer. Conclusions Meta-analysis demonstrated that increased lncRNA-ATB expression can be a useful prognostic biomarker in human cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00098981
Volume :
468
Database :
Academic Search Index
Journal :
Clinica Chimica Acta
Publication Type :
Academic Journal
Accession number :
123157415
Full Text :
https://doi.org/10.1016/j.cca.2017.02.001