BACKGROUND: Although the growth-factor G-CSF is widely used to prevent granulotoxic side effects of cytotoxic chemotherapies, its optimal use is still unknown since treatment outcome depends on many parameters such as dosing and timing of chemotherapies, pharmaceutical derivative of G-CSF used and individual risk factors. We showed in the past that a pharmacokinetic and -dynamic model of G-CSF and human granulopoiesis can be used to predict the performance of yet untested G-CSF schedules. However, only a single chemotherapy was considered so far. RESULTS: Model assumptions proved to be feasible in explaining granulotoxicity of 10 different chemotherapeutic drugs or drug-combinations applied in 33 different schedules with and without G-CSF. Risk groups of granulotoxicity were traced back to differences in toxicity parameters. CONCLUSION: We established a comprehensive model of combined G-CSF and chemotherapy action in humans which allows us to predict and compare the outcome of alternative G-CSF schedules. We aim to apply the model in different clinical contexts to optimize and individualize G-CSF treatment.
PubMed ID: 25539928
Projects: GLA - German Lymphoma Alliance, Genetical Statistics and Systems Biology
Publication type: Not specified
Journal: BMC Syst Biol
Human Diseases: Leukopenia
Citation: BMC Syst Biol. 2014 Dec 24;8:138. doi: 10.1186/s12918-014-0138-7.
Date Published: 24th Dec 2014
Registered Mode: by PubMed ID
Views: 3012
Created: 11th Oct 2019 at 09:52
Last updated: 7th Dec 2021 at 17:58
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