ArticleThe Journal of thoracic and cardiovascular surgery2015
Vascular endothelial growth factor C complements the ability of positron emission tomography to predict nodal disease in lung cancer.
Article in The Journal of thoracic and cardiovascular surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 10 citations in OpenAlex.
- Risk Prediction in Clinical Practice: A Practical Guide for Cardiothoracic Surgeons.The Annals of thoracic surgery · 2019Article
- FGB and FGG derived from plasma exosomes as potential biomarkers to distinguish benign from malignant pulmonary nodules.Clinical and experimental medicine · 2019Article
- Prediction Model for Nodal Disease Among Patients With Non-Small Cell Lung Cancer.The Annals of thoracic surgery · 2019Article
- Challenges in Predicting Recurrence After Resection of Node-Negative Non-Small Cell Lung Cancer.The Annals of thoracic surgery · 2018Article
- Variability in invasive mediastinal staging for lung cancer: A multicenter regional study.The Journal of thoracic and cardiovascular surgery · 2018Article
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8 authors at 1 institution in 2 countries.
Funding
Abstract
objectiveVascular endothelial growth factors (VEGFs) C and D are biologically rational markers of nodal disease that could improve the accuracy of lung cancer staging. We hypothesized that these biomarkers would improve the ability of positron emission tomography (PET) to predict nodal disease among patients with suspected or confirmed non-small cell lung cancer (NSCLC).
methodsA cross-sectional study (2010-2013) was performed of patients prospectively enrolled in a lung nodule biorepository, staged by computed tomography (CT) and PET, and who underwent pathologic nodal evaluation. Enzyme-linked immunosorbent assay was used to measure biomarker levels in plasma from blood drawn before anesthesia. Likelihood ratio testing was used to compare the following logistic regression prediction models: ModelPET, ModelPET/VEGF-C, ModelPET/VEGF-D, and ModelPET/VEGF-C/VEGF-D. To account for 5 planned pairwise comparisons, P values <.01 were considered significant.
resultsAmong 62 patients (median age, 67 years; 48% men; 87% white; and 84% NSCLC), 58% had fluorodeoxyglucose uptake in hilar and/or mediastinal lymph nodes. The prevalence of pathologically confirmed lymph node metastases was 40%. Comparisons of prediction models revealed the following: ModelPET/VEGF-C versus ModelPET (P = .0069), ModelPET/VEGF-D versus ModelPET (P = .1886), ModelPET/VEGF-C/VEGF-D versus ModelPET (P = .0146), ModelPET/VEGF-C/VEGF-D versus ModelPET/VEGF-C (P = .2818), and ModelPET/VEGF-C/VEGF-D versus ModelPET/VEGF-D (P = .0095). In ModelPET/VEGF-C, higher VEGF-C levels were associated with an increased risk of nodal disease (odds ratio, 2.96; 95% confidence interval, 1.26-6.90).
conclusionsPlasma levels of VEGF-C complemented the ability of PET to predict nodal disease among patients with suspected or confirmed NSCLC. VEGF-D did not improve prediction.
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