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miR-Test: a blood test for lung cancer early detection.
Montani, Francesca; Marzi, Matteo Jacopo; Dezi, Fabio; Dama, Elisa; Carletti, Rose Mary; Bonizzi, Giuseppina; Bertolotti, Raffaella; Bellomi, Massimo; Rampinelli, Cristiano; Maisonneuve, Patrick; Spaggiari, Lorenzo; Veronesi, Giulia; Nicassio, Francesco; Di Fiore, Pier Paolo; Bianchi, Fabrizio.
Affiliation
  • Montani F; Molecular 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 I
  • Marzi MJ; Molecular 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 I
  • Dezi F; Molecular 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 I
  • Dama E; Molecular 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 I
  • Carletti RM; Molecular 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 I
  • Bonizzi G; Molecular 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 I
  • Bertolotti R; Molecular 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 I
  • Bellomi M; Molecular 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 I
  • Rampinelli C; Molecular 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 I
  • Maisonneuve P; Molecular 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 I
  • Spaggiari L; Molecular 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 I
  • Veronesi G; Molecular 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 I
  • Nicassio F; Molecular 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 I
  • Di Fiore PP; Molecular 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 I
  • Bianchi F; Molecular 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 I
J Natl Cancer Inst ; 107(6): djv063, 2015 Jun.
Article in En | MEDLINE | ID: mdl-25794889
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / MicroRNAs / Early Detection of Cancer / Lung Neoplasms Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: J Natl Cancer Inst Year: 2015 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / MicroRNAs / Early Detection of Cancer / Lung Neoplasms Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Screening_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: J Natl Cancer Inst Year: 2015 Document type: Article