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Updated: May 14, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening
Published on: October 26, 2017
Diagnostic value of circulating microRNAs for lung cancer: a meta-analysis
Yongchun Shen1, Tao Wang, Ting Yang
1State Key Laboratory of Biotherapy of China, Division of Pulmonary Diseases, Department of Respiratory Medicine, West China Hospital of Sichuan University, Chengdu, China.
Background:
Lung cancer is a leading cause of cancer mortality, and it shows a high incidence worldwide. Circulating microRNAs have been proposed as diagnostic indicators of lung cancer, but inconsistent results in the literature have prevented their widespread use in diagnosis. The present meta-analysis aimed to systematically evaluate the diagnostic accuracy of circulating microRNAs for lung cancer.
Methods:
Several research databases were searched systematically for studies of the accuracy of circulating microRNAs as diagnostic indicators of lung cancer. Results from different studies were pooled using random-effects models. Summary receiver operating characteristic (SROC) curves were used to assess the overall performance of microRNA-based assays.
Results:
Thirteen publications were included in the meta-analysis. The following summary estimates were obtained for the performance of circulating microRNAs in lung cancer diagnosis: sensitivity, 0.85 (95% confidence intervals [CI]: 0.83-0.87); specificity, 0.84 (95% CI: 0.81-0.86); positive likelihood ratio, 5.23 (95% CI: 3.75-7.29); negative likelihood ratio, 0.20 (95% CI: 0.14-0.27); and diagnostic odds ratio, 31.77 (95% CI: 16.98-59.42). The SROC curve indicated a maximum joint sensitivity and specificity of 0.85, with an area under the curve of 0.92.
Conclusion:
Circulating microRNAs show significant potential as diagnostic markers of lung cancer. The results of this meta-analysis justify larger, more rigorous studies to confirm such a diagnostic role.
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