miR-Test: A Blood Test for Lung Cancer Early Detection

被引:210
作者
Montani, Francesca [1 ]
Marzi, Matteo Jacopo [2 ]
Dezi, Fabio [1 ]
Dama, Elisa [1 ,3 ]
Carletti, Rose Mary [1 ,4 ]
Bonizzi, Giuseppina [1 ]
Bertolotti, Raffaella [5 ]
Bellomi, Massimo [6 ,7 ]
Rampinelli, Cristiano [6 ]
Maisonneuve, Patrick [3 ]
Spaggiari, Lorenzo [5 ,7 ]
Veronesi, Giulia [5 ]
Nicassio, Francesco [2 ]
Di Fiore, Pier Paolo [1 ,4 ,7 ]
Bianchi, Fabrizio [1 ]
机构
[1] European Inst Oncol, Dept Expt Oncol, Program Mol Med, I-20141 Milan, Italy
[2] Ist Italiano Tecnol, Ctr Genom Sci IIT SEMM, I-20139 Milan, Italy
[3] European Inst Oncol, Div Epidemiol & Biostat, I-20141 Milan, Italy
[4] FIRC Inst Mol Oncol Fdn, IFOM, Milan, Italy
[5] European Inst Oncol, Div Thorac Surg, I-20141 Milan, Italy
[6] European Inst Oncol, Div Radiol, I-20141 Milan, Italy
[7] Univ Milan, Dept Sci Salute, Milan, Italy
来源
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE | 2015年 / 107卷 / 06期
关键词
DOSE COMPUTED-TOMOGRAPHY; MICRORNA SIGNATURES; COST-EFFECTIVENESS; BIOMARKERS; SERUM; PLASMA; SURVIVAL; TRIAL;
D O I
10.1093/jnci/djv063
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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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页数:5
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