Bajzer2008 - Modeling of cancer virotherapy with recombinant measles viruses

  public model
Model Identifier
BIOMD0000000771
Short description 
This model describes the interactions between tumor cells and virus particles, with particular reference to virus-induced syncytium formation and ultimately death of tumor cells. Dynamics of infected cells, and production of new virus particules by infected cells, is also included.
Format
SBML (L2V4)
Related Publication
  • Modeling of cancer virotherapy with recombinant measles viruses.
  • Bajzer Z, Carr T, Josić K, Russell SJ, Dingli D
  • Journal of theoretical biology , 5/ 2008 , Volume 252 , Issue 1 , pages: 109-122 , PubMed ID: 18316099
  • Biomathematics Resource and Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Guggenheim 1611b, Rochester, MN 55905, USA. bajzer@mayo.edu
  • The Edmonston vaccine strain of measles virus has potent and selective activity against a wide range of tumors. Tumor cells infected by this virus or genetically modified strains express viral proteins that allow them to fuse with neighboring cells to form syncytia that ultimately die. Moreover, infected cells may produce new virus particles that proceed to infect additional tumor cells. We present a model of tumor and virus interactions based on established biology and with proper accounting of the free virus population. The range of model parameters is estimated by fitting to available experimental data. The stability of equilibrium states corresponding to complete tumor eradication, therapy failure and partial tumor reduction is discussed. We use numerical simulations to explore conditions for which the model predicts successful therapy and tumor eradication. The model exhibits damped, as well as stable oscillations in a range of parameter values. These oscillatory states are organized by a Hopf bifurcation.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Tung Nguyen
Modellers: Tung Nguyen, Johannes Meyer

Metadata information

is (2 statements)
BioModels Database BIOMD0000000771
BioModels Database MODEL1907310005

isDescribedBy (1 statement)
PubMed 18316099

isDerivedFrom (1 statement)
PubMed 11309314

hasProperty (2 statements)
Mathematical Modelling Ontology Ordinary differential equation model
NCIt Oncolytic Virus Therapy

Curation status
Curated
Modelling approach(es)
ordinary differential equation model
Tags
Oncology

Connected external resources

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Model files
Bazjer2008.xml SBML L2V4 Representation of Bajzer2008 - Modeling of cancer virotherapy with recombinant measles viruses 31.54 KB Preview | Download

Additional files
Bazjer2008.cps COPASI file of Bajzer2008 - Modeling of cancer virotherapy with recombinant measles viruses 54.24 KB Preview | Download
Bazjer2008.sedml SED-ML file of Bajzer2008 - Modeling of cancer virotherapy with recombinant measles viruses 1.79 KB Preview | Download

  • Model originally submitted by : Johannes Meyer
  • Submitted: Jul 31, 2019 3:40:11 PM
  • Last Modified: Oct 1, 2021 11:51:42 AM
Revisions
  • Version: 4 public model Download this version
    • Submitted on: Oct 1, 2021 11:51:42 AM
    • Submitted by: Tung Nguyen
    • With comment: Automatically added model identifier BIOMD0000000771
  • Version: 2 public model Download this version
    • Submitted on: Jul 31, 2019 3:40:11 PM
    • Submitted by: Johannes Meyer
    • With comment: Automatically added model identifier BIOMD0000000771

(*) 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.

Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
v Virus

Oncolytic Virus 		2.0 mmol
x Infected Cell

infected cell 		0.0 mmol
y Tumor Cell

neoplastic cell 		126.237 mmol
Reactions
Reactions Rate Parameters
v_Virus => compartment*omega*v_Virus omega = 0.3
y_Tumor_Cell + v_Virus => x_Infected_Cell compartment*kappa*y_Tumor_Cell*v_Virus kappa = 4.48E-4
=> y_Tumor_Cell; y_Tumor_Cell, x_Infected_Cell compartment*r*y_Tumor_Cell*(1-(y_Tumor_Cell+x_Infected_Cell)^epsilon/K^epsilon) r = 0.2062134; epsilon = 1.648773; K = 2139.258
x_Infected_Cell => compartment*delta*x_Infected_Cell delta = 0.309
=> v_Virus; x_Infected_Cell compartment*alpha*x_Infected_Cell alpha = 0.001
y_Tumor_Cell => ; x_Infected_Cell compartment*rho*x_Infected_Cell*y_Tumor_Cell rho = 0.608
Curator's comment:
(added: 31 Jul 2019, 15:40:01, updated: 31 Jul 2019, 15:40:01)
Reproduced plot of Figure 5, fit (c) in the original publication. Initial value of plotted variable y(0) was chosen as 126.237, as specified in the paper. Simulated and plotted using COPASI 4.24 (Build 197).