Prognostic Value of MicroRNA-182 in Cancers: A Meta-Analysis

被引:20
|
作者
Wang, Fei [1 ]
Zhong, Shanliang [2 ]
Zhang, Haijun [3 ]
Zhang, Wei [4 ]
Zhang, Hongming [1 ]
Wu, Xue [1 ]
Chen, Baoan [1 ]
机构
[1] Southeast Univ, Sch Med, Zhongda Hosp, Dept Hematol,Key Dept Jiangsu Med, Nanjing 210009, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Jiangsu Canc Hosp, Ctr Clin Lab Sci, Nanjing 210009, Jiangsu, Peoples R China
[3] Southeast Univ, Sch Med, Zhongda Hosp, Dept Oncol, Nanjing 210009, Jiangsu, Peoples R China
[4] Southeast Univ, Sch Med, Dept Pathol, Nanjing 210009, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
LUNG-CANCER; CELL-GROWTH; EXPRESSION; MIR-182; METASTASIS; PREDICTOR; CARCINOMA; SURVIVAL; TARGETS; GENES;
D O I
10.1155/2015/482146
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Objective. MicroRNA-182 (miR-182) exhibits altered expression in various cancers. The aim of this study was to investigate the predictive value of miR-182 expression for cancer patient survival. Methods. Eligible studies were identified through multiple search strategies, and the hazard ratios (HRs) for patient outcomes were extracted and estimated. A meta-analysis was performed to evaluate the prognostic value of miR-182. Results. In total, 14 studies were included. A high miR-182 expression level predicted a worse outcome with a pooled HR of 2.18 (95% CI: 1.53-3.11) in ten studies related to overall survival (OS), especially in Chinese populations. The results of seven studies evaluating disease-free survival/relapse-free survival/recurrence-free interval/disease-specific survival (DFS/RFS/RFI/DSS) produced a pooled HR of 1.77 (95% CI: 0.91-3.43), which was not statistically significant; however, the trend was positive. When disregarding the DSS from one study, the expression of miR-182 was significantly correlated with DFS/RFS/RFI (pooled HR = 2.52, 95% CI: 1.67-3.79). Conclusions. High miR-182 expression is associated with poor OS and DFS/RFS/RFI in some types of cancers, and miR-182 may be a useful prognostic biomarker for predicting cancer prognosis. However, given the current insufficient relevant data, further clinical studies are needed.
引用
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页数:8
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