| Literature DB >> 25794889 |
Francesca Montani1, Matteo Jacopo Marzi1, Fabio Dezi1, Elisa Dama1, Rose Mary Carletti1, Giuseppina Bonizzi1, Raffaella Bertolotti1, Massimo Bellomi1, Cristiano Rampinelli1, Patrick Maisonneuve1, Lorenzo Spaggiari1, Giulia Veronesi1, Francesco Nicassio1, Pier Paolo Di Fiore1, Fabrizio Bianchi1.
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.Entities:
Mesh:
Substances:
Year: 2015 PMID: 25794889 DOI: 10.1093/jnci/djv063
Source DB: PubMed Journal: J Natl Cancer Inst ISSN: 0027-8874 Impact factor: 13.506