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Updated: Apr 16, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
miR-Test: a blood test for lung cancer early detection
Francesca Montani1, Matteo Jacopo Marzi1, Fabio Dezi1
1Molecular Medicine Program, Department of Experimental Oncology, European Institute of Oncology, Milan, Italy (FM, FD, ED, RMC, GB, PPDF, FB); Center for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia, 20139 Milan, Italy (MJM, FN); Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy (ED, PM); IFOM, The FIRC Institute for Molecular Oncology Foundation, Milan, Italy (RMC, PPDF); Division of Thoracic Surgery, European Institute of Oncology, Milan, Italy (RB, LS, GV); Division of Radiology, European Institute of Oncology, Milan, Italy (MB, CR); Department of Scienze della Salute, University of Milan, Milan, Italy (MB, LS, PPDF).
Abstract:
Lung cancer is the leading cause of cancer death worldwide. Low-dose computed tomography screening (LDCT) was recently shown to anticipate the time of diagnosis, thus reducing lung cancer mortality. However, concerns persist about the feasibility and costs of large-scale LDCT programs. Such concerns may be addressed by clearly defining the target "high-risk" population that needs to be screened by LDCT. We recently identified a serum microRNA signature (the miR-Test) that could identify the optimal target population. Here, we performed a large-scale validation study of the miR-Test in high-risk individuals (n = 1115) enrolled in the Continuous Observation of Smoking Subjects (COSMOS) lung cancer screening program. The overall accuracy, sensitivity, and specificity of the miR-Test are 74.9% (95% confidence interval [CI] = 72.2% to 77.6%), 77.8% (95% CI = 64.2% to 91.4%), and 74.8% (95% CI = 72.1% to 77.5%), respectively; the area under the curve is 0.85 (95% CI = 0.78 to 0.92). These results argue that the miR-Test might represent a useful tool for lung cancer screening in high-risk individuals.
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