Arciero2004 - A mathematical model of tumor-immune evasion and siRNA treatment

  public model
Model Identifier
MODEL1907310002
Short description
This is a mathematical model consisting of a system of nonlinear ordinary differential equations describing tumor cells and immune effectors, as well as the immuno-stimulatory and suppressive cytokines IL-2 and TGF-Beta.
Format
SBML (L2V4)
Related Publication
  • A mathematical model of tumor-immune evasion and siRNA treatment
  • Arciero, J.C., Jackson, T.L., Kirschner, D.E.
  • American Institute of Mathematical Sciences , 6/ 2019 , DOI: 10.3934/dcdsb.2004.4.39
  • Department of Mathematics, University of Michigan, Ann Arbor, Michigan, United States, United States
  • In this paper a mathematical model is presented that describes growth, immune escape, and siRNA treatment of tumors. The model consists of a system of nonlinear, ordinary differential equations describing tumor cells and immune effectors, as well as the immuno-stimulatory and suppressive cytokines IL-2 and TGF-β. TGF-β suppresses the immune system by inhibiting the activation of effector cells and reducing tumor antigen expression. It also stimulates tumor growth by promoting angiogenesis, explaining the inclusion of an angiogenic switch mechanism for TGF-β activity. The model predicts that increasing the rate of TGF-β production for reasonable values of tumor antigenicity enhances tumor growth and its ability to escape host detection. The model is then extended to include siRNA treatment which suppresses TGF-β production by targeting the mRNA that codes for TGF-β, thereby reducing the presence and effect of TGF-β in tumor cells. Comparison of tumor response to multiple injections of siRNA with behavior of untreated tumors demonstrates the effectiveness of this proposed treatment strategy. A second administration method, continuous infusion, is included to contrast the ideal outcome of siRNA treatment. The model's results predict conditions under which siRNA treatment can be successful in returning an aggressive, TGF-β producing tumor to its passive, non-immune evading state.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer

Metadata information

isDerivedFrom (1 statement)
PubMed 9785481

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (4 statements)
isDescribedBy (1 statement)

Curation status
Non-curated


Tags

Connected external resources

SBGN view in Newt Editor

Name Description Size Actions

Model files

Arciero2004.xml SBML L2V4 Representation of Arciero2004 - A mathematical model of tumor-immune evasion and siRNA treatment 36.35 KB Preview | Download

Additional files

Arciero2004.cps COPASI file of Arciero2004 - A mathematical model of tumor-immune evasion and siRNA treatment 80.83 KB Preview | Download

  • Model originally submitted by : Johannes Meyer
  • Submitted: Jul 31, 2019 11:41:24 AM
  • Last Modified: Dec 18, 2019 11:01:26 AM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Dec 18, 2019 11:01:26 AM
    • Submitted by: Johannes Meyer
    • With comment: Edited model metadata online.
  • Version: 1 public model Download this version
    • Submitted on: Jul 31, 2019 11:41:24 AM
    • Submitted by: Johannes Meyer
    • With comment: Import of Arciero2004 - A mathematical model of tumor-immune evasion and siRNA treatment

(*) You might be seeing discontinuous revisions as only public revisions are displayed here. Any private revisions unpublished model revision of this model will only be shown to the submitter and their collaborators.