Circulating Plasma Biomarkers of Survival in Antifibrotic-Treated Patients With Idiopathic Pulmonary Fibrosis.


Journal

Chest
ISSN: 1931-3543
Titre abrégé: Chest
Pays: United States
ID NLM: 0231335

Informations de publication

Date de publication:
10 2020
Historique:
received: 21 02 2020
revised: 30 03 2020
accepted: 08 04 2020
pubmed: 26 5 2020
medline: 4 6 2021
entrez: 26 5 2020
Statut: ppublish

Résumé

A number of circulating plasma biomarkers have been shown to predict survival in patients with idiopathic pulmonary fibrosis (IPF), but most were identified before the use of antifibrotic (AF) therapy in this population. Because pirfenidone and nintedanib have been shown to slow IPF progression and may prolong survival, the role of such biomarkers in AF-treated patients is unclear. To determine whether plasma concentration of cancer antigen 125 (CA-125), C-X-C motif chemokine 13 (CXCL13), matrix metalloproteinase 7 (MMP7), surfactant protein D (SP-D), chitinase-3-like protein-1 (YKL-40), vascular cell adhesion protein-1 (VCAM-1), and osteopontin (OPN) is associated with differential transplant-free survival (TFS) in AF-exposed and nonexposed patients with IPF. A pooled, multicenter, propensity-matched analysis of IPF patients with and without AF exposure was performed. Optimal thresholds for biomarker dichotomization were identified in each group using iterative Cox regression. Longitudinal biomarker change was assessed in a subset of patients using linear mixed regression modeling. A clinical-molecular signature of IPF TFS was then derived and validated in an independent IPF cohort. Three hundred twenty-five patients were assessed, of which 68 AF-exposed and 172 nonexposed patients were included after propensity matching. CA-125, CXCL13, MMP7, YKL-40, and OPN predicted differential TFS in AF-exposed patients but at higher thresholds than in AF-nonexposed individuals. Plasma biomarker level generally increased over time in nonexposed patients but remained unchanged in AF-exposed patients. A clinical-molecular signature predicted decreased TFS in AF-exposed patients (hazard ratio [HR], 5.91; 95% CI, 2.25-15.5; P < .001) and maintained this association in an independent AF-exposed cohort (HR, 3.97; 95% CI, 1.62-9.72; P = .003). Most plasma biomarkers assessed predicted differential TFS in AF-exposed patients with IPF, but at higher thresholds than in nonexposed patients. A clinical-molecular signature of IPF TFS may provide a reliable predictor of outcome risk in AF-treated patients but requires additional research for optimization and validation.

Sections du résumé

BACKGROUND
A number of circulating plasma biomarkers have been shown to predict survival in patients with idiopathic pulmonary fibrosis (IPF), but most were identified before the use of antifibrotic (AF) therapy in this population. Because pirfenidone and nintedanib have been shown to slow IPF progression and may prolong survival, the role of such biomarkers in AF-treated patients is unclear.
RESEARCH QUESTION
To determine whether plasma concentration of cancer antigen 125 (CA-125), C-X-C motif chemokine 13 (CXCL13), matrix metalloproteinase 7 (MMP7), surfactant protein D (SP-D), chitinase-3-like protein-1 (YKL-40), vascular cell adhesion protein-1 (VCAM-1), and osteopontin (OPN) is associated with differential transplant-free survival (TFS) in AF-exposed and nonexposed patients with IPF.
STUDY DESIGN AND METHODS
A pooled, multicenter, propensity-matched analysis of IPF patients with and without AF exposure was performed. Optimal thresholds for biomarker dichotomization were identified in each group using iterative Cox regression. Longitudinal biomarker change was assessed in a subset of patients using linear mixed regression modeling. A clinical-molecular signature of IPF TFS was then derived and validated in an independent IPF cohort.
RESULTS
Three hundred twenty-five patients were assessed, of which 68 AF-exposed and 172 nonexposed patients were included after propensity matching. CA-125, CXCL13, MMP7, YKL-40, and OPN predicted differential TFS in AF-exposed patients but at higher thresholds than in AF-nonexposed individuals. Plasma biomarker level generally increased over time in nonexposed patients but remained unchanged in AF-exposed patients. A clinical-molecular signature predicted decreased TFS in AF-exposed patients (hazard ratio [HR], 5.91; 95% CI, 2.25-15.5; P < .001) and maintained this association in an independent AF-exposed cohort (HR, 3.97; 95% CI, 1.62-9.72; P = .003).
INTERPRETATION
Most plasma biomarkers assessed predicted differential TFS in AF-exposed patients with IPF, but at higher thresholds than in nonexposed patients. A clinical-molecular signature of IPF TFS may provide a reliable predictor of outcome risk in AF-treated patients but requires additional research for optimization and validation.

Identifiants

pubmed: 32450241
pii: S0012-3692(20)31501-4
doi: 10.1016/j.chest.2020.04.066
pmc: PMC7545483
pii:
doi:

Substances chimiques

Biomarkers 0
Indoles 0
Pyridones 0
pirfenidone D7NLD2JX7U
nintedanib G6HRD2P839

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1526-1534

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL146942
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007605
Pays : United States
Organisme : NIH HHS
ID : P51 OD011107
Pays : United States
Organisme : NIAID NIH HHS
ID : R42 AI132012
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130796
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES023513
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL138190
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

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Auteurs

Ayodeji Adegunsoye (A)

Department of Medicine, Section of Pulmonary and Critical Care Medicine, The University of Chicago, Chicago, IL.

Shehabaldin Alqalyoobi (S)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, East Carolina University, Greenville, NC.

Angela Linderholm (A)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.

Willis S Bowman (WS)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.

Cathryn T Lee (CT)

Department of Medicine, Section of Pulmonary and Critical Care Medicine, The University of Chicago, Chicago, IL.

Janelle Vu Pugashetti (JV)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.

Nandini Sarma (N)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.

Shwu-Fan Ma (SF)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlotteville, VA.

Angela Haczku (A)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.

Anne Sperling (A)

Department of Medicine, Section of Pulmonary and Critical Care Medicine, The University of Chicago, Chicago, IL.

Mary E Strek (ME)

Department of Medicine, Section of Pulmonary and Critical Care Medicine, The University of Chicago, Chicago, IL.

Imre Noth (I)

Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlotteville, VA.

Justin M Oldham (JM)

Department of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA. Electronic address: joldham@ucdavis.edu.

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Classifications MeSH