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Multicenter Study
Idiopathic Pulmonary Fibrosis: Prospective, Case-Controlled Study of Natural History and Circulating Biomarkers.
- Ganesh Raghu, Luca Richeldi, Alexandre Jagerschmidt, Valerie Martin, Arun Subramaniam, Marie-Laure Ozoux, Corinne A Esperet, and Christina Soubrane.
- Division of Pulmonary & Critical Care Medicine, University of Washington Medical Center, Seattle, WA. Electronic address: graghu@uw.edu.
- Chest. 2018 Dec 1; 154 (6): 1359-1370.
BackgroundIdiopathic pulmonary fibrosis (IPF) is a fatal lung disease with 3 to 5 years' survival. Although FVC is used to assess disease progression and treatment response, identifying predictive circulating blood biomarkers could help identify specific biologic pathways for treatment. An international, prospective, noninterventional, case-controlled, 52-week study was therefore conducted to identify a clinical and biomarker baseline profile predictive of longitudinal disease behavior.MethodsPatients with IPF and control subjects had lung function tests and blood sampling for biomarker quantification (control subjects at baseline only). The primary end point was disease progression rate (composite end point: decrease ≥ 10% from baseline in FVC % predicted, decrease ≥ 15% from baseline in diffusing capacity of the lung for carbon monoxide % predicted, lung transplantation, death) at week 52 and its relationship to selected biomarkers at baseline.ResultsAltogether, 211 subjects (154 patients with IPF and 57 control subjects) were enrolled; one-third of patients (n = 47) with IPF had progressed by week 52. Biomarkers CC-chemokine ligand 18 (CCL18), intercellular adhesion molecule 1, Krebs von den Lungen-6, surfactant protein (SP)-A, SP-D, matrix metallopeptidase 7, urokinase-type plasminogen activator receptor, and two novel biomarkers, human epididymis protein-4 (HE4) and prostasin, discriminated patients with IPF vs control subjects. There was no difference in baseline CCL18 concentration between progressors and nonprogressors at week 52 (area under the receiver operating characteristic curve, 0.62; corrected P = .161). No biomarkers were predictive for disease progression.ConclusionsSeveral biomarkers, including CCL18, were associated with IPF, but none predicted disease progression. Two novel biomarkers, HE4 and prostasin, were identified and warrant further investigation.Copyright © 2018. Published by Elsevier Inc.
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