Hu2019 - Modeling Pancreatic Cancer Dynamics with Immunotherapy

  public model
Short description
This is a mathematical model of pancreatic cancer that includes descriptions of pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor-suppressing cytokines to investigate the effects of immunotherapies on patient survival.
Format
SBML (L2V4)
Related Publication
  • Modeling Pancreatic Cancer Dynamics with Immunotherapy.
  • Hu X, Ke G, Jang SR
  • Bulletin of mathematical biology , 6/ 2019 , Volume 81 , Issue 6 , pages: 1885-1915
  • Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, 79409-1042, USA.
  • We develop a mathematical model of pancreatic cancer that includes pancreatic cancer cells, pancreatic stellate cells, effector cells and tumor-promoting and tumor-suppressing cytokines to investigate the effects of immunotherapies on patient survival. The model is first validated using the survival data of two clinical trials. Local sensitivity analysis of the parameters indicates there exists a critical activation rate of pro-tumor cytokines beyond which the cancer can be eradicated if four adoptive transfers of immune cells are applied. Optimal control theory is explored as a potential tool for searching the best adoptive cellular immunotherapies. Combined immunotherapies between adoptive ex vivo expanded immune cells and TGF-[Formula: see text] inhibition by siRNA treatments are investigated. This study concludes that mono-immunotherapy is unlikely to control the pancreatic cancer and combined immunotherapies between anti-TGF-[Formula: see text] and adoptive transfers of immune cells can prolong patient survival. We show through numerical explorations that how these two types of immunotherapies are scheduled is important to survival. Applying TGF-[Formula: see text] inhibition first followed by adoptive immune cell transfers can yield better survival outcomes.
Contributors
Johannes Meyer

Metadata information

hasProperty
Mathematical Modelling Ontology Ordinary differential equation model
GO:0002418
isDescribedBy

Curation status
Curated


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Model files

Hu2019.xml SBML L2V4 Representation of Hu2019 - Modeling Pancreatic Cancer Dynamics with Immunotherapy 54.65 KB Preview | Download

Additional files

Hu2019.cps COPASI file of Hu2019 - Modeling Pancreatic Cancer Dynamics with Immunotherapy 93.59 KB Preview | Download
Hu2019.sedml SED-ML file of Hu2019 - Modeling Pancreatic Cancer Dynamics with Immunotherapy 1.71 KB Preview | Download

  • Model originally submitted by : Johannes Meyer
  • Submitted: Aug 13, 2019 1:43:31 PM
  • Last Modified: Aug 13, 2019 1:43:31 PM
Revisions
  • Version: 2 public model Download this version
    • Submitted on: Aug 13, 2019 1:43:31 PM
    • Submitted by: Johannes Meyer
    • With comment: Automatically added model identifier BIOMD0000000792
Curator's comment:
(added: 13 Aug 2019, 13:43:19, updated: 13 Aug 2019, 13:43:19)
Reproduced plot of Figure 4A (dashed blue line) in the original publication. Parameters and initial conditions are as specified in the paper. Model simulated and plot produced using COPASI 4.24 (Build 197).