Wilson2012 - tumor vaccine efficacy

  public model
Short description
The paper describes a model of antitumor vaccine therapy. Created by COPASI 4.25 (Build 207) This model is described in the article: A Mathematical Model of the Enhancement of Tumor Vaccine Efficacy by Immunotherapy Shelby Wilson and Doron Levy Bull Math Biol. 2012 July ; 74(7) Abstract: TGF-β is an immunoregulatory protein that contributes to inadequate antitumor immune responses in cancer patients. Recent experimental data suggests that TGF-β inhibition alone, provides few clinical benefits, yet it can significantly amplify the anti-tumor immune response when combined with a tumor vaccine. We develop a mathematical model in order to gain insight into the cooperative interaction between anti-TGF-β and vaccine treatments. The mathematical model follows the dynamics of the tumor size, TGF-β concentration, activated cytotoxic effector cells, and regulatory T cells. Using numerical simulations and stability analysis, we study the following scenarios: a control case of no treatment, anti-TGF-β treatment, vaccine treatment, and combined anti-TGF-β vaccine treatments. We show that our model is capable of capturing the observed experimental results, and hence can be potentially used in designing future experiments involving this approach to immunotherapy. 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.
Format
SBML (L3V1)
Related Publication
  • A mathematical model of the enhancement of tumor vaccine efficacy by immunotherapy.
  • Wilson S, Levy D
  • Bulletin of mathematical biology , 7/ 2012 , Volume 74 , Issue 7 , pages: 1485-1500
  • Department of Mathematics and Center for Scientific Computation and Mathematical Modeling (CSCAMM), University of Maryland, College Park, MD 20742, USA. swilson@math.umd.edu
  • TGF-β is an immunoregulatory protein that contributes to inadequate antitumor immune responses in cancer patients. Recent experimental data suggests that TGF-β inhibition alone, provides few clinical benefits, yet it can significantly amplify the anti-tumor immune response when combined with a tumor vaccine. We develop a mathematical model in order to gain insight into the cooperative interaction between anti-TGF-β and vaccine treatments. The mathematical model follows the dynamics of the tumor size, TGF-β concentration, activated cytotoxic effector cells, and regulatory T cells. Using numerical simulations and stability analysis, we study the following scenarios: a control case of no treatment, anti-TGF-β treatment, vaccine treatment, and combined anti-TGF-β vaccine treatments. We show that our model is capable of capturing the observed experimental results, and hence can be potentially used in designing future experiments involving this approach to immunotherapy.
Contributors
Jinghao Men

Metadata information

hasTaxon
Taxonomy Homo sapiens
hasProperty
Mathematical Modelling Ontology Ordinary differential equation model
GO:0002418
isDescribedBy

Curation status
Curated


Tags
Name Description Size Actions

Model files

Wilson2012.xml SBML L3V1 representation of tumour vaccine model 69.35 KB Preview | Download

Additional files

Wilson2012.sedml Auto-generated SEDML file 3.38 KB Preview | Download
Wilson2012.cps CPS file of the model in COPASI 85.55 KB Preview | Download

  • Model originally submitted by : Jinghao Men
  • Submitted: Aug 12, 2019 4:32:18 PM
  • Last Modified: Aug 12, 2019 4:32:18 PM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Aug 12, 2019 4:32:18 PM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000791
Curator's comment:
(added: 12 Aug 2019, 16:32:13, updated: 12 Aug 2019, 16:32:13)
Publication figure 4 reproduced similar to literature. Figure data is generated using COPASI 4.26 (build 213).