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循环miR-31作为人类癌症检测和预后的有效生物标志物:一项荟萃分析。

Circulating miR-31 as an effective biomarker for detection and prognosis of human cancer: a meta-analysis.

作者信息

Ma Yingjun, Chen Yunfang, Lin Jinbo, Liu Yi, Luo Kai, Cao Yong, Wang Tieqiang, Jin Hongwei, Su Zhan, Wu Haolin, Chen Xiaoliang, Cheng Jinquan

机构信息

Respiratory Medicine, Guangming District People's Hospital of Shenzhen, Shenzhen, P.R. China.

Pain Department, The Eight Affiliated Hospital, Sun Yat-sen University, ShenZhen, P.R. China.

出版信息

Oncotarget. 2017 Apr 25;8(17):28660-28671. doi: 10.18632/oncotarget.15638.

Abstract

PURPOSE

Circulating miR-31 was found to be associated with cancers detection and prognosis. The present meta-analysis aimed to explore the effect of circulating miR-31 on cancer detection and prognosis.

METHOD

The studies were accessed using multiple databases. RevMan5.3, Meta-DiSc 1.4, and STATA14.0 were used to estimate the pooled effects, heterogeneity among studies, and publication bias.

RESULTS

A total of 14 studies with 1397 cancer patients and 1039 controls were included. For the 12 prognostic tests, the adjusted pooled-AUC was 0.79 (95% CI: 0.73-0.86) as the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odd ratio (DOR) from 10 tests was 0.79 (95% CI: 0.76-0.82), 0.79 (95% CI: 0.76-0.82), 3.81 (95% CI: 2.90-5.01), 0.26 (95% CI: 0.20-0.35), and 16.81 (95% CI: 9.67-29.25), respectively. For the 5 prognosis analyses, the pooled HR (hazard ratio) of overall survival (OS) was 1.55 (95% CI 1.30-1.86) for high versus low circulating miR-31 expression. However, high expression of circulating miR-31 did not significantly increase the risk of poor differentiation (pooled OR=1.39, 95% CI: 0.56-3.47) and LNM (pooled OR=3.46, 95% CI: 0.96-12.42) in lung cancer.

CONCLUSION

Circulating miR-31 is an effective biomarker and could be used as a component of miRs signature for cancer detection and prognosis surveillance.

摘要

目的

研究发现循环miR-31与癌症检测及预后相关。本荟萃分析旨在探讨循环miR-31对癌症检测及预后的影响。

方法

通过多个数据库检索相关研究。使用RevMan5.3、Meta-DiSc 1.4和STATA14.0软件来估计合并效应、研究间的异质性及发表偏倚。

结果

共纳入14项研究,涉及1397例癌症患者和1039例对照。对于12项诊断试验,10项试验的合并敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)、诊断比值比(DOR)的调整后合并AUC为0.79(95%CI:0.73 - 0.86),分别为0.79(95%CI:0.76 - 0.82)、0.79(95%CI:0.76 - 0.82)、3.81(95%CI:2.90 - 5.01)、0.26(95%CI:0.20 - 0.35)和16.81(95%CI:9.67 - 29.25)。对于5项预后分析,循环miR-31高表达与低表达相比,总生存(OS)的合并风险比(HR)为1.55(95%CI 1.30 - 1.86)。然而,循环miR-31高表达并未显著增加肺癌中低分化(合并OR = 1.39,95%CI:0.56 - 3.47)和淋巴结转移(LNM,合并OR = 3.46,95%CI:0.96 - 12.42)的风险。

结论

循环miR-31是一种有效的生物标志物,可作为miRs特征的一部分用于癌症检测及预后监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4782/5438681/5feb2a558f40/oncotarget-08-28660-g001.jpg

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