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Predicting Chemotherapy-Induced Neutropenia and Granulocyte Colony-Stimulating Factor Response Using Model-Based In Vitro to Clinical Translation.
Chen, Wenbo; Boras, Britton; Sung, Tae; Hu, Wenyue; Spilker, Mary E; D'Argenio, David Z.
Afiliación
  • Chen W; Department of Biomedical Engineering, University of Southern California, Los Angeles, California, 90089, USA.
  • Boras B; Pfizer Worldwide Research, Development and Medicine, San Diego, California, USA.
  • Sung T; Pfizer Worldwide Research, Development and Medicine, San Diego, California, USA.
  • Hu W; Pfizer Worldwide Research, Development and Medicine, San Diego, California, USA.
  • Spilker ME; Pfizer Worldwide Research, Development and Medicine, San Diego, California, USA.
  • D'Argenio DZ; Department of Biomedical Engineering, University of Southern California, Los Angeles, California, 90089, USA. dargenio@bmsr.usc.edu.
AAPS J ; 22(6): 143, 2020 11 06.
Article en En | MEDLINE | ID: mdl-33156437
ABSTRACT
The ability to predict the incidence of chemotherapy-induced neutropenia in early drug development can inform risk monitoring and mitigation strategies, as well as decisions on advancing compounds to clinical trials. In this report, a physiological model of granulopoiesis that incorporates the drug's mechanism of action on cell cycle proliferation of bone marrow progenitor cells was extended to include the action of the cytotoxic agents paclitaxel, carboplatin, doxorubicin, and gemcitabine. In vitro bone marrow studies were conducted with each compound, and results were used to determine the model's drug effect parameters. Population simulations were performed to predict the absolute neutrophil count (ANC) and incidence of neutropenia for each compound, which were compared to results reported in the literature. In addition, using the single agent in vitro study results, the model was able to predict ANC time course in response to paclitaxel plus carboplatin in combination, which compared favorably to the results reported in a phase 1 clinical trial of 46 patients (r2 = 0.70). Model simulations were used to compare the relative risk (RR) of neutropenia in patients with high baseline ANCs for five chemotherapeutic regimens doxorubicin (RR = 0.59), paclitaxel plus carboplatin combination (RR = 0.079), carboplatin (RR = 0.047), paclitaxel (RR = 0.031), and gemcitabine (RR = 0.013). Finally, the model was applied to quantify the reduced incidence of neutropenia with coadministration of pegfilgrastim or filgrastim, for both paclitaxel and the combination of paclitaxel plus carboplatin. The model provides a framework for predicting clinical neutropenia using in vitro bone marrow studies of anticancer agents that may guide drug development decisions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polietilenglicoles / Protocolos de Quimioterapia Combinada Antineoplásica / Filgrastim / Modelos Biológicos / Neoplasias / Neutropenia Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Incidence_studies / Prognostic_studies Límite: Humans Idioma: En Revista: AAPS J Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Polietilenglicoles / Protocolos de Quimioterapia Combinada Antineoplásica / Filgrastim / Modelos Biológicos / Neoplasias / Neutropenia Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Incidence_studies / Prognostic_studies Límite: Humans Idioma: En Revista: AAPS J Asunto de la revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos