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Model-based optimization of G-CSF treatment during cytotoxic chemotherapy

PURPOSE: Although G-CSF is widely used to prevent or ameliorate leukopenia during cytotoxic chemotherapies, its optimal use is still under debate and depends on many therapy parameters such as dosing and timing of cytotoxic drugs and G-CSF, G-CSF pharmaceuticals used and individual risk factors of p...

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Autores principales: Schirm, Sibylle, Engel, Christoph, Loibl, Sibylle, Loeffler, Markus, Scholz, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794835/
https://www.ncbi.nlm.nih.gov/pubmed/29103159
http://dx.doi.org/10.1007/s00432-017-2540-1
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author Schirm, Sibylle
Engel, Christoph
Loibl, Sibylle
Loeffler, Markus
Scholz, Markus
author_facet Schirm, Sibylle
Engel, Christoph
Loibl, Sibylle
Loeffler, Markus
Scholz, Markus
author_sort Schirm, Sibylle
collection PubMed
description PURPOSE: Although G-CSF is widely used to prevent or ameliorate leukopenia during cytotoxic chemotherapies, its optimal use is still under debate and depends on many therapy parameters such as dosing and timing of cytotoxic drugs and G-CSF, G-CSF pharmaceuticals used and individual risk factors of patients. METHODS: We integrate available biological knowledge and clinical data regarding cell kinetics of bone marrow granulopoiesis, the cytotoxic effects of chemotherapy and pharmacokinetics and pharmacodynamics of G-CSF applications (filgrastim or pegfilgrastim) into a comprehensive model. The model explains leukocyte time courses of more than 70 therapy scenarios comprising 10 different cytotoxic drugs. It is applied to develop optimized G-CSF schedules for a variety of clinical scenarios. RESULTS: Clinical trial results showed validity of model predictions regarding alternative G-CSF schedules. We propose modifications of G-CSF treatment for the chemotherapies ‘BEACOPP escalated’ (Hodgkin’s disease), ‘ETC’ (breast cancer), and risk-adapted schedules for ‘CHOP-14’ (aggressive non-Hodgkin’s lymphoma in elderly patients). CONCLUSIONS: We conclude that we established a model of human granulopoiesis under chemotherapy which allows predictions of yet untested G-CSF schedules, comparisons between them, and optimization of filgrastim and pegfilgrastim treatment. As a general rule of thumb, G-CSF treatment should not be started too early and patients could profit from filgrastim treatment continued until the end of the chemotherapy cycle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00432-017-2540-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-57948352018-02-05 Model-based optimization of G-CSF treatment during cytotoxic chemotherapy Schirm, Sibylle Engel, Christoph Loibl, Sibylle Loeffler, Markus Scholz, Markus J Cancer Res Clin Oncol Original Article – Clinical Oncology PURPOSE: Although G-CSF is widely used to prevent or ameliorate leukopenia during cytotoxic chemotherapies, its optimal use is still under debate and depends on many therapy parameters such as dosing and timing of cytotoxic drugs and G-CSF, G-CSF pharmaceuticals used and individual risk factors of patients. METHODS: We integrate available biological knowledge and clinical data regarding cell kinetics of bone marrow granulopoiesis, the cytotoxic effects of chemotherapy and pharmacokinetics and pharmacodynamics of G-CSF applications (filgrastim or pegfilgrastim) into a comprehensive model. The model explains leukocyte time courses of more than 70 therapy scenarios comprising 10 different cytotoxic drugs. It is applied to develop optimized G-CSF schedules for a variety of clinical scenarios. RESULTS: Clinical trial results showed validity of model predictions regarding alternative G-CSF schedules. We propose modifications of G-CSF treatment for the chemotherapies ‘BEACOPP escalated’ (Hodgkin’s disease), ‘ETC’ (breast cancer), and risk-adapted schedules for ‘CHOP-14’ (aggressive non-Hodgkin’s lymphoma in elderly patients). CONCLUSIONS: We conclude that we established a model of human granulopoiesis under chemotherapy which allows predictions of yet untested G-CSF schedules, comparisons between them, and optimization of filgrastim and pegfilgrastim treatment. As a general rule of thumb, G-CSF treatment should not be started too early and patients could profit from filgrastim treatment continued until the end of the chemotherapy cycle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00432-017-2540-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2017-11-04 2018 /pmc/articles/PMC5794835/ /pubmed/29103159 http://dx.doi.org/10.1007/s00432-017-2540-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article – Clinical Oncology
Schirm, Sibylle
Engel, Christoph
Loibl, Sibylle
Loeffler, Markus
Scholz, Markus
Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title_full Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title_fullStr Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title_full_unstemmed Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title_short Model-based optimization of G-CSF treatment during cytotoxic chemotherapy
title_sort model-based optimization of g-csf treatment during cytotoxic chemotherapy
topic Original Article – Clinical Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794835/
https://www.ncbi.nlm.nih.gov/pubmed/29103159
http://dx.doi.org/10.1007/s00432-017-2540-1
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