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Prospective external validation of biomarkers to predict acute graft-versus-host disease severity
Acute graft-versus-host disease (GVHD) is still the major contributor to comorbidities and mortality after allogeneic hematopoietic stem cell transplantation. The use of plasmatic biomarkers to predict early outcomes has been advocated in the past decade. The purpose of this prospective nonintervent...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Hematology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631673/ https://www.ncbi.nlm.nih.gov/pubmed/35667096 http://dx.doi.org/10.1182/bloodadvances.2022007477 |
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author | Robin, Marie Porcher, Raphael Michonneau, David Taurines, Laetitia de Fontbrune, Flore Sicre Xhaard, Aliénor Oriano, Bastien Sutra Del Galy, Aurélien Peffault de Latour, Régis Socié, Gérard Schlageter, Marie-Hélène |
author_facet | Robin, Marie Porcher, Raphael Michonneau, David Taurines, Laetitia de Fontbrune, Flore Sicre Xhaard, Aliénor Oriano, Bastien Sutra Del Galy, Aurélien Peffault de Latour, Régis Socié, Gérard Schlageter, Marie-Hélène |
author_sort | Robin, Marie |
collection | PubMed |
description | Acute graft-versus-host disease (GVHD) is still the major contributor to comorbidities and mortality after allogeneic hematopoietic stem cell transplantation. The use of plasmatic biomarkers to predict early outcomes has been advocated in the past decade. The purpose of this prospective noninterventional study was to test the ability of panels including 7 biomarkers (Elafin, HGF, IL2RA, IL8, REG3, ST2, and TNFRI), to predict day 28 (D28) complete response to steroid, D180 overall survival, and D180 nonrelapse mortality (NRM). Using previous algorithms developed by the Ann Arbor/MAGIC consortium, 204 patients with acute GVHD were prospectively included and biomarkers were measured at GVHD onset for all of them. Initial GVHD grade and bilirubin level were significantly associated with all those outcomes. After adjustment on clinical variables, biomarkers were associated with survival and NRM. In addition to clinical variables, biomarkers slightly improved the prediction of overall survival and NRM (concordance and net reclassification indexes). The potential benefit of adding biomarkers panel to clinical parameters was also investigated by decision curve analyses. The benefit of adding biomarkers to clinical parameters was however marginal for the D28 nonresponse and mortality endpoints. |
format | Online Article Text |
id | pubmed-9631673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society of Hematology |
record_format | MEDLINE/PubMed |
spelling | pubmed-96316732022-11-04 Prospective external validation of biomarkers to predict acute graft-versus-host disease severity Robin, Marie Porcher, Raphael Michonneau, David Taurines, Laetitia de Fontbrune, Flore Sicre Xhaard, Aliénor Oriano, Bastien Sutra Del Galy, Aurélien Peffault de Latour, Régis Socié, Gérard Schlageter, Marie-Hélène Blood Adv Transplantation Acute graft-versus-host disease (GVHD) is still the major contributor to comorbidities and mortality after allogeneic hematopoietic stem cell transplantation. The use of plasmatic biomarkers to predict early outcomes has been advocated in the past decade. The purpose of this prospective noninterventional study was to test the ability of panels including 7 biomarkers (Elafin, HGF, IL2RA, IL8, REG3, ST2, and TNFRI), to predict day 28 (D28) complete response to steroid, D180 overall survival, and D180 nonrelapse mortality (NRM). Using previous algorithms developed by the Ann Arbor/MAGIC consortium, 204 patients with acute GVHD were prospectively included and biomarkers were measured at GVHD onset for all of them. Initial GVHD grade and bilirubin level were significantly associated with all those outcomes. After adjustment on clinical variables, biomarkers were associated with survival and NRM. In addition to clinical variables, biomarkers slightly improved the prediction of overall survival and NRM (concordance and net reclassification indexes). The potential benefit of adding biomarkers panel to clinical parameters was also investigated by decision curve analyses. The benefit of adding biomarkers to clinical parameters was however marginal for the D28 nonresponse and mortality endpoints. American Society of Hematology 2022-08-17 /pmc/articles/PMC9631673/ /pubmed/35667096 http://dx.doi.org/10.1182/bloodadvances.2022007477 Text en © 2022 by The American Society of Hematology. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), permitting only noncommercial, nonderivative use with attribution. All other rights reserved. |
spellingShingle | Transplantation Robin, Marie Porcher, Raphael Michonneau, David Taurines, Laetitia de Fontbrune, Flore Sicre Xhaard, Aliénor Oriano, Bastien Sutra Del Galy, Aurélien Peffault de Latour, Régis Socié, Gérard Schlageter, Marie-Hélène Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title | Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title_full | Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title_fullStr | Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title_full_unstemmed | Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title_short | Prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
title_sort | prospective external validation of biomarkers to predict acute graft-versus-host disease severity |
topic | Transplantation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631673/ https://www.ncbi.nlm.nih.gov/pubmed/35667096 http://dx.doi.org/10.1182/bloodadvances.2022007477 |
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