4.8 Article

Blood Gene Expression Predicts Bronchiolitis Obliterans Syndrome

期刊

FRONTIERS IN IMMUNOLOGY
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2017.01841

关键词

lung transplantation; bronchiolitis obliterans syndrome; gene expression; biomarkers; blood

资金

  1. Vaincre la Mucoviscidose
  2. Association Gregory Lemarchal
  3. Agence de Biomedecine
  4. INSERM
  5. Region Pays de La Loire
  6. Institut de Recherche en Sante Respiratoire des Pays de la Loire
  7. Fonds de Recherche en Sante Respiratoire
  8. Fondation du Souffle
  9. Fondation pour la Recherche Medicale
  10. National Research Agency via the Investment into the Future program [ANR-10-IBHU-005, ANR-11-LABX-0016-01]
  11. Nantes Metropole
  12. European Commission's Seventh Framework Program VISICORT [602470]

向作者/读者索取更多资源

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.

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