Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis
Mathematical modelling of natural phenomena, Tome 1 (2006) no. 2, pp. 70-80
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Neutropenia is a significant dose-limiting toxicity of cancer chemotherapy, especially in dose-intensified regimens. It is widely treated by injections of Granulocyte Colony-Stimulating Factor (G-CSF). However, optimal schedules of G-CSF administration are still not determined. In order to aid in identifying more efficacious and less neutropenic treatment protocols, we studied a detailed physiologically-based computer model of granulopoiesis, as affected by different treatment schedules of doxorubicin and/or Granulocyte Colony-Stimulating Factor (G-CSF). We validated the model as evident from accurate prediction of clinical data on human granulopoiesis in healthy individuals and in doxorubicin-treated cancer patients, with or without G-CSF support. Based on our model, we suggest new G-CSF administration regimens. These regimens include reduced G-CSF doses, optimally timed post-chemotherapy. Application of these regimens can lead to minimization of G-CSF side effects, as well as more cost-effective and less myelotoxic protocols. Currently clinical trials are being designed in order to test these new treatment regimens.
Affiliations des auteurs :
V. Vainstein 1 ; Y. Ginosar 1 ; M. Shoham 2 ; A. Ianovski 2 ; A. Rabinovich 2 ; Y. Kogan 1 ; V. Selitser 1 ; Z. Agur 1, 2
@article{10_1051_mmnp:2008003,
author = {V. Vainstein and Y. Ginosar and M. Shoham and A. Ianovski and A. Rabinovich and Y. Kogan and V. Selitser and Z. Agur},
title = {Improving {Cancer} {Therapy} by {Doxorubicin} and {Granulocyte} {Colony-Stimulating} {Factor:} {Insights} from a {Computerized} {Model} of {Human} {Granulopoiesis}},
journal = {Mathematical modelling of natural phenomena},
pages = {70--80},
publisher = {mathdoc},
volume = {1},
number = {2},
year = {2006},
doi = {10.1051/mmnp:2008003},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.1051/mmnp:2008003/}
}
TY - JOUR AU - V. Vainstein AU - Y. Ginosar AU - M. Shoham AU - A. Ianovski AU - A. Rabinovich AU - Y. Kogan AU - V. Selitser AU - Z. Agur TI - Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis JO - Mathematical modelling of natural phenomena PY - 2006 SP - 70 EP - 80 VL - 1 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/articles/10.1051/mmnp:2008003/ DO - 10.1051/mmnp:2008003 LA - en ID - 10_1051_mmnp:2008003 ER -
%0 Journal Article %A V. Vainstein %A Y. Ginosar %A M. Shoham %A A. Ianovski %A A. Rabinovich %A Y. Kogan %A V. Selitser %A Z. Agur %T Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis %J Mathematical modelling of natural phenomena %D 2006 %P 70-80 %V 1 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/articles/10.1051/mmnp:2008003/ %R 10.1051/mmnp:2008003 %G en %F 10_1051_mmnp:2008003
V. Vainstein; Y. Ginosar; M. Shoham; A. Ianovski; A. Rabinovich; Y. Kogan; V. Selitser; Z. Agur. Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis. Mathematical modelling of natural phenomena, Tome 1 (2006) no. 2, pp. 70-80. doi: 10.1051/mmnp:2008003
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