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Serum Biomarkers May Prognosticate Recurrence in Node-Negative, Non-Small Cell Lung Cancers Less Than 4 Centimeters  Christopher W. Seder, MD, Andrew.

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Presentation on theme: "Serum Biomarkers May Prognosticate Recurrence in Node-Negative, Non-Small Cell Lung Cancers Less Than 4 Centimeters  Christopher W. Seder, MD, Andrew."— Presentation transcript:

1 Serum Biomarkers May Prognosticate Recurrence in Node-Negative, Non-Small Cell Lung Cancers Less Than 4 Centimeters  Christopher W. Seder, MD, Andrew T. Arndt, MD, Lia Jordano, MD, Sanjib Basu, PhD, Cristina L. Fhied, MS, Selina Sayidine, MD, Gary W. Chmielewski, MD, Kelsey Gallo, BS, Michael J. Liptay, MD, Jeffrey A. Borgia, PhD  The Annals of Thoracic Surgery  Volume 104, Issue 5, Pages (November 2017) DOI: /j.athoracsur Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions

2 Fig 1 Univariate analysis of clinical characteristics and biomarker concentrations to prognosticate recurrence in resected, node-negative non-small cell lung cancer less than 4 cm. An odds ratio (OR) greater than 1 indicates higher probability of recurrence with increasing biomarker levels, whereas an odds ratio less than 1 indicates lower probability of recurrence with increasing biomarker levels. (AFP = alpha-fetoprotein; BMP = bone morphogenetic protein; CEA = carcinoembryonic antigen; CI = confidence interval; FGF = fibroblast growth factor; G-CSF = granulocyte colony-stimulating factor; HB-EGF = heparin-binding endothelial growth factorlike growth factor; HCG = human chorionic gonadotropin; HE = human epididymis protein; IGFBP = insulinlike growth factor–binding protein; PLGF = placental growth factor; SCF = colony-stimulating factor; TNF = tumor necrosis factor; TNFRI = tumor necrosis factor receptor I; VEGF = vascular endothelial growth factor.) The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions

3 Fig 2 Receiver-operating characteristics curves for the seven-analyte biomarker panel. Area under the curve (AUC) is 0.70, with an overall accuracy of 78%, specificity of 91%, and negative predictive value of 83%. The Annals of Thoracic Surgery  , DOI: ( /j.athoracsur ) Copyright © 2017 The Society of Thoracic Surgeons Terms and Conditions


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