BioModels

The paper describes a model of brain tumor. Created by COPASI 4.25 (Build 207) This model is described in the article: Mathematical model of brain tumour with glia-neuron interactions and chemotherapy treatment Kelly C. Iarosz, Fernando S. Borges, Antonio M. Batista, Murilo S. Baptista, Regiane A. N. Siqueira, Ricardo L. Viana, Sergio R. Lopes Abstract: In recent years, it became clear that a better understanding of the interactions among the main elements involved in the cancer network is necessary for the treatment of cancer and the suppression of cancer growth. In this work we propose a system of coupled differential equations that model brain tumour under treatment by chemotherapy, which considers interactions among the glial cells, the glioma, the neurons, and the chemotherapeutic agents. We study the conditions for the glioma growth to be eliminated, and identify values of the parameters for which the inhibition of the glioma growth is obtained with a minimal loss of healthy cells. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

• Mathematical model of brain tumour with glia-neuron interactions and chemotherapy treatment.
• Iarosz KC, Borges FS, Batista AM, Baptista MS, Siqueira RA, Viana RL, Lopes SR
• Journal of theoretical biology , 3/ 2015 , Volume 368 , pages: 113-121 , PubMed ID: 25596516
Affiliation: Institute for Complex Systems and Mathematical Biology, University of Aberdeen, AB24 3UE Aberdeen, UK. Electronic address: kiarosz@gmail.com.
Abstract: In recent years, it became clear that a better understanding of the interactions among the main elements involved in the cancer network is necessary for the treatment of cancer and the suppression of cancer growth. In this work we propose a system of coupled differential equations that model brain tumour under treatment by chemotherapy, which considers interactions among the glial cells, the glioma, the neurons, and the chemotherapeutic agents. We study the conditions for the glioma growth to be eliminated, and identify values of the parameters for which the inhibition of the glioma growth is obtained with a minimal loss of healthy cells.