ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2015
Validation of a multiprotein plasma classifier to identify benign lung nodules.
Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Distinguishing neurocysticercosis epilepsy from epilepsy of unknown etiology using a minimal serum mass profiling platform.Experimental parasitology · 2018Trial
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- Validation of the SHOX2/PTGER4 DNA Methylation Marker Panel for Plasma-Based Discrimination between Patients with Malignant and Nonmalignant Lung Disease.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2017Trial
- Lung tumour secretome and extracellular vesicles: mechanisms, biomarkers, and therapeutic opportunities.Cancer metastasis reviews · 2026Review
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- Structured narrative review on lung cancer screening: current evidence, clinical practice implications and implementation insights from a multidisciplinary task force and patient representatives.European respiratory review : an official journal of the European Respiratory Society · 2025Review
- Biomarkers for the diagnosis of indeterminate pulmonary nodules: are we there yet?Journal of thoracic disease · 2025Review
- An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules.Clinical proteomics · 2025Article
- Lung cancer screening: where do we stand?Breathe (Sheffield, England) · 2024Review
- A spatially localized DNA linear classifier for cancer diagnosis.Nature communications · 2024Article
- The Role of Biomarkers in Lung Cancer Screening.Cancers · 2024Review
- Simultaneous Detection of Tumor Derived Exosomal Protein-MicroRNA Pairs with an Exo-PROS Biosensor for Cancer Diagnosis.ACS nano · 2023Article
- Biomarkers in Lung Cancer Screening: a Narrative Review.Current challenges in thoracic surgery · 2023Article
- Comprehensive Analysis of Clinical Logistic and Machine Learning-Based Models for the Evaluation of Pulmonary Nodules.JTO clinical and research reports · 2022Article
- The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies.Cancer biomarkers : section A of Disease markers · 2022Article
- Distinguishing Alzheimer's Disease Patients and Biochemical Phenotype Analysis Using a Novel Serum Profiling Platform: Potential Involvement of the VWF/ADAMTS13 Axis.Brain sciences · 2021Article
- Molecular biomarkers in early stage lung cancer.Translational lung cancer research · 2021Review
- Application of Proteomics in Sarcoidosis.American journal of respiratory cell and molecular biology · 2020Review
- Biomarkers for Lung Cancer Screening and Detection.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management.Clinical proteomics · 2020Review
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
introductionIndeterminate 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.
methodsA retrospective, multicenter, case-control study was performed using multiple reaction monitoring mass spectrometry, a classifier comprising five diagnostic and six normalization proteins, and blinded analysis of an independent validation set of plasma samples.
resultsThe classifier achieved validation on 141 lung nodule-associated plasma samples based on predefined statistical goals to optimize sensitivity. Using a population based nonsmall-cell lung cancer prevalence estimate of 23% for 8 to 30 mm IPNs, the classifier identified likely benign lung nodules with 90% negative predictive value and 26% positive predictive value, 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 chronic obstructive pulmonary disease diagnosis. The classifier also demonstrated incremental diagnostic performance in combination with a four-parameter clinical model.
conclusionsThis proteomic classifier provides a range of probability estimates for the likelihood of a benign etiology that may serve as a noninvasive, diagnostic adjunct for clinical assessments of patients with IPNs.
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