Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis

Vainstein, V., et al. "Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis." Mathematical Modelling of Natural Phenomena 1.2 (2010): 70-80. <http://eudml.org/doc/222402>.

@article{Vainstein2010,
abstract = { 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. },
author = {Vainstein, V., Ginosar, Y., Shoham, M., Ianovski, A., Rabinovich, A., Kogan, Y., Selitser, V., Agur, Z.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {mathematical modeling; granulopoiesis; chemotherapy; treatment optimization},
language = {eng},
month = {3},
number = {2},
pages = {70-80},
publisher = {EDP Sciences},
title = {Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis},
url = {http://eudml.org/doc/222402},
volume = {1},
year = {2010},
}

TY - JOUR
AU - Vainstein, V.
AU - Ginosar, Y.
AU - Shoham, M.
AU - Ianovski, A.
AU - Rabinovich, A.
AU - Kogan, Y.
AU - Selitser, V.
AU - Agur, Z.
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
DA - 2010/3//
PB - EDP Sciences
VL - 1
IS - 2
SP - 70
EP - 80
AB - 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.
LA - eng
KW - mathematical modeling; granulopoiesis; chemotherapy; treatment optimization
UR - http://eudml.org/doc/222402
ER -