Louzoun2014 - A mathematical model for pancreatic cancer growth and treatments

  public model
Model Identifier
MODEL1909100002
Short description 
This is a mathematical model of pancreatic cancer, geared towards examining the efficacy of tumor-suppressing drugs in tandem with an immune response.
Format
SBML (L2V4)
Related Publication
  • A mathematical model for pancreatic cancer growth and treatments.
  • Louzoun Y, Xue C, Lesinski GB, Friedman A
  • Journal of theoretical biology , 6/ 2014 , Volume 351 , pages: 74-82 , PubMed ID: 24594371
  • Department of Mathematics and Gonda brain research institute, Bar-Ilan University, Ramat-Gan 52900, Israel.
  • Pancreatic cancer is one of the most deadly types of cancer and has extremely poor prognosis. This malignancy typically induces only limited cellular immune responses, the magnitude of which can increase with the number of encountered cancer cells. On the other hand, pancreatic cancer is highly effective at evading immune responses by inducing polarization of pro-inflammatory M1 macrophages into anti-inflammatory M2 macrophages, and promoting expansion of myeloid derived suppressor cells, which block the killing of cancer cells by cytotoxic T cells. These factors allow immune evasion to predominate, promoting metastasis and poor responsiveness to chemotherapies and immunotherapies. In this paper we develop a mathematical model of pancreatic cancer, and use it to qualitatively explain a variety of biomedical and clinical data. The model shows that drugs aimed at suppressing cancer growth are effective only if the immune induced cancer cell death lies within a specific range, that is, the immune system has a specific window of opportunity to effectively suppress cancer under treatment. The model results suggest that tumor growth rate is affected by complex feedback loops between the tumor cells, endothelial cells and the immune response. The relative strength of the different loops determines the cancer growth rate and its response to immunotherapy. The model could serve as a starting point to identify optimal nodes for intervention against pancreatic cancer.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer

Metadata information

isDescribedBy (1 statement)
PubMed 24594371

hasProperty (3 statements)
Curation status
Non-curated
Modelling approach(es)
ordinary differential equation model
Tags
Immuno-oncology

Connected external resources

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Model files
Louzoun2014.xml SBML L2V4 Representation of Louzoun2014 - A mathematical model for pancreatic cancer growth and treatments 38.03 KB Preview | Download

Additional files
Louzoun2014.cps COPASI file of Louzoun2014 - A mathematical model for pancreatic cancer growth and treatments 77.20 KB Preview | Download

  • Model originally submitted by : Johannes Meyer
  • Submitted: Sep 10, 2019 11:43:01 AM
  • Last Modified: Sep 10, 2019 11:43:01 AM
Revisions
  • Version: 1 public model Download this version
    • Submitted on: Sep 10, 2019 11:43:01 AM
    • Submitted by: Johannes Meyer
    • With comment: Import of Louzoun2014 - A mathematical model for pancreatic cancer growth and treatments