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Tissue microRNA-21 expression predicted recurrence and poor survival in patients with colorectal cancer – a meta-analysis

Authors :
Chen Z
Liu H
Jin W
Ding Z
Zheng S
Yu Y
Source :
OncoTargets and Therapy, Vol 2016, Iss Issue 1, Pp 2615-2624 (2016)
Publication Year :
2016
Publisher :
Dove Medical Press, 2016.

Abstract

Zexin Chen,1 Hui Liu,2 Wen Jin,2 Zheyuan Ding,2 Shuangshuang Zheng,2 Yunxian Yu2 1Department of Clinical Epidemiology and Biostatistics, The Second Affiliated Hospital, School of Medicine, Zhejiang University, 2Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, People’s Republic of ChinaObjective: MicroRNA-21 (miR-21) has been shown to play an important role in cancer prognosis. We performed a meta-analysis to evaluate the prognostic effect of miR-21 from tissues and serum on survival of the patients with colorectal cancer (CRC).Methods: Relevant studies were identified by searching PubMed, Embase, and Cochrane Library. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) of total and subgroup analyses, for overall survival (OS) and disease-free survival (DFS), were calculated to investigate the association between miR-21 expression and CRC prognosis.Results: Our analysis included eleven studies (3,669 subjects). In addition, four studies explored the association between miR-21 and DFS, and ten studies focused on the prognostic value of miR-21 for OS. Our results indicated that increased miR-21 expression of tissues predicted both poor DFS and OS in patients with CRC (DFS: HR =1.59, 95% CI =1.20–2.10; OS: HR =1.53, 95% CI =1.23–1.90). Consistent results were observed among colon cancer and quantitative real-time polymerase chain reaction subgroups.Conclusion: Meta-analysis indicated that miR-21 predicted recurrence and poor survival in patients with CRC. miR-21 may be more suitable to predict cancer prognosis in colon cancer patients. Keywords: miR-21, prognostic value, colorectal cancer

Details

Language :
English
ISSN :
11786930
Volume :
2016
Issue :
Issue 1
Database :
Directory of Open Access Journals
Journal :
OncoTargets and Therapy
Publication Type :
Academic Journal
Accession number :
edsdoj.9c2de608fb99468a97f4f0b9faef8ef1
Document Type :
article