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Development and validation of a predictive model to guide the use of plerixafor in pediatric population

Plerixafor, a CXCR4 receptor antagonist, reduces the binding and chemotaxis of hematopoietic stem cells to the bone marrow stroma, resulting in predictable peak of cluster of differentiation 34(+) (CD34(+)) cells in the peripheral blood (PB) approximately 10 h after its administration. We developed...

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Autores principales: Sebastien, Bernard, Cheverton, Peter, Magnin, Catherine, Aouni, Jihane, Castan, Remi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715428/
https://www.ncbi.nlm.nih.gov/pubmed/36163427
http://dx.doi.org/10.1038/s41409-022-01831-2
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author Sebastien, Bernard
Cheverton, Peter
Magnin, Catherine
Aouni, Jihane
Castan, Remi
author_facet Sebastien, Bernard
Cheverton, Peter
Magnin, Catherine
Aouni, Jihane
Castan, Remi
author_sort Sebastien, Bernard
collection PubMed
description Plerixafor, a CXCR4 receptor antagonist, reduces the binding and chemotaxis of hematopoietic stem cells to the bone marrow stroma, resulting in predictable peak of cluster of differentiation 34(+) (CD34(+)) cells in the peripheral blood (PB) approximately 10 h after its administration. We developed a model that could predict the CD34(+) harvest volume on the first day of apheresis (AP-CD34(+)) based on PB-CD34(+) counts immediately prior to commencing apheresis in pediatric population. In all, data from 45 pediatric patients from the MOZAIC study who received either granulocyte colony-stimulating factor (G-CSF) alone or G-CSF plus plerixafor were included. The modeling of the data exhibited a strong and highly predictive linear relationship between the counts of PB-CD34(+) cells on the first day of apheresis and AP-CD34(+) cells collected on the same day. It is predicted that there are approximately 13 new collected CD34(+) cells for 100 new circulating CD34(+) cells before apheresis. Our predictive algorithm can be used to quantify the minimal count of PB-CD34(+) cells that enables to collect at least 2 × 10(6) or 5 × 10(6) AP-CD34(+) cells/kg with sufficient assurance (probability = 0.90) and can guide the use of plerixafor in patients at higher perceived risk for mobilization failure. Trial registration of MOZAIC study: ClinicalTrials.gov, NCT01288573; EudraCT, 2010-019340-40.
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spelling pubmed-97154282022-12-03 Development and validation of a predictive model to guide the use of plerixafor in pediatric population Sebastien, Bernard Cheverton, Peter Magnin, Catherine Aouni, Jihane Castan, Remi Bone Marrow Transplant Article Plerixafor, a CXCR4 receptor antagonist, reduces the binding and chemotaxis of hematopoietic stem cells to the bone marrow stroma, resulting in predictable peak of cluster of differentiation 34(+) (CD34(+)) cells in the peripheral blood (PB) approximately 10 h after its administration. We developed a model that could predict the CD34(+) harvest volume on the first day of apheresis (AP-CD34(+)) based on PB-CD34(+) counts immediately prior to commencing apheresis in pediatric population. In all, data from 45 pediatric patients from the MOZAIC study who received either granulocyte colony-stimulating factor (G-CSF) alone or G-CSF plus plerixafor were included. The modeling of the data exhibited a strong and highly predictive linear relationship between the counts of PB-CD34(+) cells on the first day of apheresis and AP-CD34(+) cells collected on the same day. It is predicted that there are approximately 13 new collected CD34(+) cells for 100 new circulating CD34(+) cells before apheresis. Our predictive algorithm can be used to quantify the minimal count of PB-CD34(+) cells that enables to collect at least 2 × 10(6) or 5 × 10(6) AP-CD34(+) cells/kg with sufficient assurance (probability = 0.90) and can guide the use of plerixafor in patients at higher perceived risk for mobilization failure. Trial registration of MOZAIC study: ClinicalTrials.gov, NCT01288573; EudraCT, 2010-019340-40. Nature Publishing Group UK 2022-09-26 2022 /pmc/articles/PMC9715428/ /pubmed/36163427 http://dx.doi.org/10.1038/s41409-022-01831-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Article
Sebastien, Bernard
Cheverton, Peter
Magnin, Catherine
Aouni, Jihane
Castan, Remi
Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title_full Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title_fullStr Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title_full_unstemmed Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title_short Development and validation of a predictive model to guide the use of plerixafor in pediatric population
title_sort development and validation of a predictive model to guide the use of plerixafor in pediatric population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715428/
https://www.ncbi.nlm.nih.gov/pubmed/36163427
http://dx.doi.org/10.1038/s41409-022-01831-2
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