Modeling the effect of temozolomide treatment on orthotopic models of glioma

Francisco G. Vital-Lopez, Costas D. Maranas, Antonios Armaou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a hybrid cellular-tumor level model of brain tumor progression. The model describes tumor progression as the collective outcome of individual tumor cells, the behavior of which is governed by the interplay of intracellular signaling pathways (i.e., MAPK pathway) and the spatial-temporal distribution of key biochemical cues (e.g., oxygen, growth factors). The model is deployed to simulate the effect of different schedule-dose combinations of a chemotherapeutic agent (i.e., temozolomide) on tumor growth in murine orthotopic models of glioma. Simulation results are in good quantitative agreement with experimental measurements. In addition, the model is used to predict the outcome of alternative treatment strategies. Model simulations can be helpful for designing more efficient treatment strategies.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2969-2974
Number of pages6
ISBN (Print)9781457700804
DOIs
StatePublished - Jan 1 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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