Validation of a Multi-Protein Plasma Classifier to Identify Benign Lung Nodules.
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Validation of a Multi-Protein Plasma Classifier to Identify Benign Lung Nodules.
J Thorac Oncol. 2015 Jan 14;
Authors: Vachani A, Pass HI, Rom WN, Midthun DE, Edell ES, Laviolette M, Li XJ, Fong PY, Hunsucker SW, Hayward C, Mazzone PJ, Madtes DK, Miller YE, Walker MG, Shi J, Kearney P, Fang KC, Massion PP
Abstract
PURPOSE:: Indeterminate pulmonary nodules (IPNs) lack clinical or radiographic features of benign etiologies and often undergo invasive procedures unnecessarily, suggesting potential roles for diagnostic adjuncts using molecular biomarkers. The primary objective was to validate a multivariate classifier that identifies likely benign lung nodules by assaying plasma protein expression levels, yielding a range of probability estimates based on high negative predictive values (NPVs) for patients with 8 to 30 mm IPNs.
METHODS:: A retrospective, multi-center, case-control study was performed using multiple reaction monitoring mass spectrometry, a classifier comprising 5 diagnostic and 6 normalization proteins, and blinded analysis of an independent validation set of plasma samples.
RESULTS:: The classifier achieved validation on 141 lung nodule-associated plasma samples based on predefined statistical goals to optimize sensitivity. Using a population based NSCLC prevalence estimate of 23% for 8 to 30 mm IPNs, the classifier identified likely benign lung nodules with 90% NPV and 26% PPV, as shown in our prior work, at 92% sensitivity and 20% specificity, with the lower bound of the classifier's performance at 70% sensitivity and 48% specificity. Classifier scores for the overall cohort were statistically independent of patient age, tobacco use, nodule size and COPD diagnosis. The classifier also demonstrated incremental diagnostic performance in combination with a four-parameter clinical model.
CONCLUSIONS:: This proteomic classifier provides a range of probability estimates for the likelihood of a benign etiology that may serve as a non-invasive, diagnostic adjunct for clinical assessments of patients with IPNs.
PMID: 25590604 [PubMed - as supplied by publisher]