Research Papers:
Circulating exosomal microRNAs as prognostic biomarkers for non-small-cell lung cancer
PDF | HTML | Supplementary Files | How to cite
Metrics: PDF 4458 views | HTML 5332 views | ?
Abstract
Qingyun Liu1,*, Zubin Yu2,*, Shuai Yuan1,*, Weijia Xie1, Chengying Li1, Zeyao Hu1, Ying Xiang1, Na Wu1, Long Wu1, Li Bai3,**, Yafei Li1,**
1Department of Epidemiology, College of Preventive Medicine, Third Military Medical University, Chongqing, People’s Republic of China
2Department of Thoracic Surgery, Xinqiao Hospital, Third Military Medical University, Chongqing, People’s Republic of China
3Department of Respiratory Disease, Xinqiao Hospital, Third Military Medical University, Chongqing, People’s Republic of China
*These authors have contributed equally to this work
**These authors jointly directed the project
Correspondence to:
Yafei Li, email: [email protected]
Keywords: non-small-cell lung cancer (NSCLC), exosome, miRNAs, prognosis, biomarker
Received: June 29, 2016 Accepted: December 05, 2016 Published: December 30, 2016
ABSTRACT
Exosomal miRNAs are proposed as excellent candidate biomarkers for clinical applications. However, little is known about their potential roles as prognostic biomarkers in lung cancer. In this study, we explored the prognostic value of plasma exosomal microRNAs (miRNAs) for non-small-cell lung cancer (NSCLC). Using a quantitative polymerase chain reaction (qPCR) array panel, we analyzed 84 plasma exosomal miRNAs in 10 lung adenocarcinoma patients and 10 matched healthy controls. The qPCR array showed 30 aberrantly expressed exosomal miRNAs. Nine candidate miRNAs were selected based on differential expression and previous reports for further evaluating their prognostic roles in 196 NSCLC patients. Elevated levels of exosomal miR-23b-3p, miR-10b-5p and miR-21-5p were independently associated with poor overall survival (with hazard ratio [95% confidence interval]: 2.42 (1.45 - 4.04), P = 0.001; 2.22 (1.18 - 4.16), P = 0.013; 2.12 (1.28 - 3.49), P = 0.003, respectively). When compared to the clinical prognostic variables only model, adding the three exosomal miRNA signatures significantly improved survival predictive accuracy with an increase of time-dependent area under the receiver operating characteristic curve from 0.88 to 0.91 (P=0.015). Our results indicated that plasma exosomal miR-23b-3p, miR-10b-5p and miR-21-5p are promising non-invasive prognostic biomarkers of NSCLC.
![Creative Commons License](/images/80x15.png)
PII: 14369