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Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome
Bronchiolitis obliterans syndrome (BOS), the main manifestation of chronic lung allograft dysfunction, leads to poor long-term survival after lung transplantation. Identifying predictors of BOS is essential to prevent the progression of dysfunction before irreversible damage occurs. By using a large...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768645/ https://www.ncbi.nlm.nih.gov/pubmed/29375549 http://dx.doi.org/10.3389/fimmu.2017.01841 |
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author | Danger, Richard Royer, Pierre-Joseph Reboulleau, Damien Durand, Eugénie Loy, Jennifer Tissot, Adrien Lacoste, Philippe Roux, Antoine Reynaud-Gaubert, Martine Gomez, Carine Kessler, Romain Mussot, Sacha Dromer, Claire Brugière, Olivier Mornex, Jean-François Guillemain, Romain Dahan, Marcel Knoop, Christiane Botturi, Karine Foureau, Aurore Pison, Christophe Koutsokera, Angela Nicod, Laurent P. Brouard, Sophie Magnan, Antoine |
author_facet | Danger, Richard Royer, Pierre-Joseph Reboulleau, Damien Durand, Eugénie Loy, Jennifer Tissot, Adrien Lacoste, Philippe Roux, Antoine Reynaud-Gaubert, Martine Gomez, Carine Kessler, Romain Mussot, Sacha Dromer, Claire Brugière, Olivier Mornex, Jean-François Guillemain, Romain Dahan, Marcel Knoop, Christiane Botturi, Karine Foureau, Aurore Pison, Christophe Koutsokera, Angela Nicod, Laurent P. Brouard, Sophie Magnan, Antoine |
author_sort | Danger, Richard |
collection | PubMed |
description | Bronchiolitis obliterans syndrome (BOS), the main manifestation of chronic lung allograft dysfunction, leads to poor long-term survival after lung transplantation. Identifying predictors of BOS is essential to prevent the progression of dysfunction before irreversible damage occurs. By using a large set of 107 samples from lung recipients, we performed microarray gene expression profiling of whole blood to identify early biomarkers of BOS, including samples from 49 patients with stable function for at least 3 years, 32 samples collected at least 6 months before BOS diagnosis (prediction group), and 26 samples at or after BOS diagnosis (diagnosis group). An independent set from 25 lung recipients was used for validation by quantitative PCR (13 stables, 11 in the prediction group, and 8 in the diagnosis group). We identified 50 transcripts differentially expressed between stable and BOS recipients. Three genes, namely POU class 2 associating factor 1 (POU2AF1), T-cell leukemia/lymphoma protein 1A (TCL1A), and B cell lymphocyte kinase, were validated as predictive biomarkers of BOS more than 6 months before diagnosis, with areas under the curve of 0.83, 0.77, and 0.78 respectively. These genes allow stratification based on BOS risk (log-rank test p < 0.01) and are not associated with time posttransplantation. This is the first published large-scale gene expression analysis of blood after lung transplantation. The three-gene blood signature could provide clinicians with new tools to improve follow-up and adapt treatment of patients likely to develop BOS. |
format | Online Article Text |
id | pubmed-5768645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57686452018-01-26 Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome Danger, Richard Royer, Pierre-Joseph Reboulleau, Damien Durand, Eugénie Loy, Jennifer Tissot, Adrien Lacoste, Philippe Roux, Antoine Reynaud-Gaubert, Martine Gomez, Carine Kessler, Romain Mussot, Sacha Dromer, Claire Brugière, Olivier Mornex, Jean-François Guillemain, Romain Dahan, Marcel Knoop, Christiane Botturi, Karine Foureau, Aurore Pison, Christophe Koutsokera, Angela Nicod, Laurent P. Brouard, Sophie Magnan, Antoine Front Immunol Immunology Bronchiolitis obliterans syndrome (BOS), the main manifestation of chronic lung allograft dysfunction, leads to poor long-term survival after lung transplantation. Identifying predictors of BOS is essential to prevent the progression of dysfunction before irreversible damage occurs. By using a large set of 107 samples from lung recipients, we performed microarray gene expression profiling of whole blood to identify early biomarkers of BOS, including samples from 49 patients with stable function for at least 3 years, 32 samples collected at least 6 months before BOS diagnosis (prediction group), and 26 samples at or after BOS diagnosis (diagnosis group). An independent set from 25 lung recipients was used for validation by quantitative PCR (13 stables, 11 in the prediction group, and 8 in the diagnosis group). We identified 50 transcripts differentially expressed between stable and BOS recipients. Three genes, namely POU class 2 associating factor 1 (POU2AF1), T-cell leukemia/lymphoma protein 1A (TCL1A), and B cell lymphocyte kinase, were validated as predictive biomarkers of BOS more than 6 months before diagnosis, with areas under the curve of 0.83, 0.77, and 0.78 respectively. These genes allow stratification based on BOS risk (log-rank test p < 0.01) and are not associated with time posttransplantation. This is the first published large-scale gene expression analysis of blood after lung transplantation. The three-gene blood signature could provide clinicians with new tools to improve follow-up and adapt treatment of patients likely to develop BOS. Frontiers Media S.A. 2018-01-11 /pmc/articles/PMC5768645/ /pubmed/29375549 http://dx.doi.org/10.3389/fimmu.2017.01841 Text en Copyright © 2018 Danger, Royer, Reboulleau, Durand, Loy, Tissot, Lacoste, Roux, Reynaud-Gaubert, Gomez, Kessler, Mussot, Dromer, Brugière, Mornex, Guillemain, Dahan, Knoop, Botturi, Foureau, Pison, Koutsokera, Nicod, Brouard, Magnan and The COLT and SysCLAD Consortia. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Danger, Richard Royer, Pierre-Joseph Reboulleau, Damien Durand, Eugénie Loy, Jennifer Tissot, Adrien Lacoste, Philippe Roux, Antoine Reynaud-Gaubert, Martine Gomez, Carine Kessler, Romain Mussot, Sacha Dromer, Claire Brugière, Olivier Mornex, Jean-François Guillemain, Romain Dahan, Marcel Knoop, Christiane Botturi, Karine Foureau, Aurore Pison, Christophe Koutsokera, Angela Nicod, Laurent P. Brouard, Sophie Magnan, Antoine Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title | Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title_full | Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title_fullStr | Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title_full_unstemmed | Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title_short | Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome |
title_sort | blood gene expression predicts bronchiolitis obliterans syndrome |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768645/ https://www.ncbi.nlm.nih.gov/pubmed/29375549 http://dx.doi.org/10.3389/fimmu.2017.01841 |
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