Oncotarget

Meta-Analysis:

Systematic review and meta-analysis of the prognostic significance of microRNAs in cervical cancer

Zhilan Chen _, Yingyan Han, Chengwen Song, Huafang Wei, Ying Chen, Kecheng Huang, Shuang Li, Ding Ma, Shixuan Wang, Jing Wang and Qiping Lu

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Oncotarget. 2018; 9:17141-17148. https://doi.org/10.18632/oncotarget.23839

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Abstract

Zhilan Chen1,*, Yingyan Han2,*, Chengwen Song1, Huafang Wei1, Ying Chen1, Kecheng Huang2, Shuang Li2, Ding Ma2, Shixuan Wang2, Jing Wang1 and Qiping Lu3

1Department of Obstetrics and Gynecology, Wuhan General Hospital of People’s Liberation Army of China, Wuhan, Hubei, China

2Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China

3Department of General Surgery, Wuhan General Hospital of People’s Liberation Army of China, Wuhan, Hubei, China

*These authors contributed equally to this work

Correspondence to:

Jing Wang, email: [email protected]

Qiping Lu, email: [email protected]

Keywords: cervical cancer; miRNA; prognosis; meta-analysis

Received: February 03, 2017     Accepted: October 05, 2017     Epub: December 16, 2017     Published: March 30, 2018

ABSTRACT

In this meta-analysis, we analyzed case-control studies that assessed the prognostic potential of miRNAs in cervical cancer. We comprehensively searched EMBASE and PubMed databases and enrolled seven studies with 445 cervical cancer cases. A fixed effects model was used to calculate pooled hazard ratios (HRs) and associated 95% confidence intervals (95% CIs) from the overall survival (OS) data. Our analysis showed that poor OS in cervical cancer was associated with low miR-125 expression (HR = 1.61, 95% CI: 1.02–2.55, P = 0.042; I2 = 10.1%, P = 0.292; n = 99), low miR-145 expression (HR = 1.70, 95% CI: 1.29–2.24, P < 0.001; I2 = 0%, P = 0.560; n = 193) and high miR-196 expression (HR = 0.28, 95% CI: 0.15–0.52, P < 0.001; I2 = 0%, P = 0.950, n = 197). This makes microRNAs such as miR-125, miR-145 and miR-196 potential prognostic biomarkers in cervical cancer.


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