Jenner2018 - treatment of oncolytic virus

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The paper describes a model of oncolytic virotherapy. Created by COPASI 4.26 (Build 213) This model is described in the article: Mathematical Modelling of the Interaction Between Cancer Cells and an Oncolytic Virus: Insights into the Effects of Treatment Protocols Adrianne L. Jenner, Chae-Ok Yun, Peter S. Kim, Adelle C. F. Coster Bull Math Biol (2018) 80:1615–1629 Abstract: Oncolyticvirotherapyisanexperimentalcancertreatmentthatusesgenet- ically engineered viruses to target and kill cancer cells. One major limitation of this treatment is that virus particles are rapidly cleared by the immune system, preventing them from arriving at the tumour site. To improve virus survival and infectivity Kim et al. (Biomaterials 32(9):2314–2326, 2011) modified virus particles with the polymer polyethylene glycol (PEG) and the monoclonal antibody herceptin. Whilst PEG mod- ification appeared to improve plasma retention and initial infectivity, it also increased the virus particle arrival time. We derive a mathematical model that describes the inter- action between tumour cells and an oncolytic virus. We tune our model to represent the experimental data by Kim et al. (2011) and obtain optimised parameters. Our model provides a platform from which predictions may be made about the response of cancer growth to other treatment protocols beyond those in the experiments. Through model simulations, we find that the treatment protocol affects the outcome dramatically. We quantify the effects of dosage strategy as a function of tumour cell replication and tumour carrying capacity on the outcome of oncolytic virotherapy as a treatment. The relative significance of the modification of the virus and the crucial role it plays in optimising treatment efficacy are explored. 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.
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SBML (L3V1)
Related Publication
  • Mathematical Modelling of the Interaction Between Cancer Cells and an Oncolytic Virus: Insights into the Effects of Treatment Protocols.
  • Jenner AL, Yun CO, Kim PS, Coster ACF
  • Bulletin of mathematical biology , 6/ 2018 , Volume 80 , Issue 6 , pages: 1615-1629
  • School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, 2006, Australia.
  • Oncolytic virotherapy is an experimental cancer treatment that uses genetically engineered viruses to target and kill cancer cells. One major limitation of this treatment is that virus particles are rapidly cleared by the immune system, preventing them from arriving at the tumour site. To improve virus survival and infectivity Kim et al. (Biomaterials 32(9):2314-2326, 2011) modified virus particles with the polymer polyethylene glycol (PEG) and the monoclonal antibody herceptin. Whilst PEG modification appeared to improve plasma retention and initial infectivity, it also increased the virus particle arrival time. We derive a mathematical model that describes the interaction between tumour cells and an oncolytic virus. We tune our model to represent the experimental data by Kim et al. (2011) and obtain optimised parameters. Our model provides a platform from which predictions may be made about the response of cancer growth to other treatment protocols beyond those in the experiments. Through model simulations, we find that the treatment protocol affects the outcome dramatically. We quantify the effects of dosage strategy as a function of tumour cell replication and tumour carrying capacity on the outcome of oncolytic virotherapy as a treatment. The relative significance of the modification of the virus and the crucial role it plays in optimising treatment efficacy are explored.
Contributors
Jinghao Men

Metadata information

hasTaxon
Taxonomy Homo sapiens
hasProperty
Mathematical Modelling Ontology Ordinary differential equation model
C62713
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Curation status
Curated


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Model files

Jenner2018.xml SBML L3V1 representation of virotherapy model 45.32 KB Preview | Download

Additional files

Jenner2018.cps CPS file of the model in COPASI 60.88 KB Preview | Download
Jenner2018.sedml Auto-generated SEDML file 1.64 KB Preview | Download

  • Model originally submitted by : Jinghao Men
  • Submitted: Aug 12, 2019 11:11:43 AM
  • Last Modified: Aug 12, 2019 11:11:43 AM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Aug 12, 2019 11:11:43 AM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000789
Curator's comment:
(added: 12 Aug 2019, 11:11:36, updated: 12 Aug 2019, 11:11:36)
Publication figure 3a reproduced as per literature. Figure data is generated using COPASI 4.26 (build 213).