Wilkie2013b - immune-induced cancer dormancy and immune evasion-basic

  public model
Model Identifier
BIOMD0000000751
Short description
The paper describes a basic model of immune-induced cancer dormancy and immune evasion. Created by COPASI 4.25 (Build 207) This model is described in the article: Mathematical models of immune-induced cancer dormancy and the emergence of immune evasion Kathleen P. Wilkie and Philip Hahnfeldt Interface Focus 3: 20130010 Abstract: Cancer dormancy, a state in which cancer cells persist in a host without sig- nificant growth, is a natural forestallment of progression to manifest disease and is thus of great clinical interest. Experimental work in mice suggests that in immune-induced dormancy, the longer a cancer remains dormant in a host, the more resistant the cancer cells become to cytotoxic T-cell-mediated killing. In this work, mathematical models are used to analyse the possible causative mechanisms of cancer escape from immune-induced dormancy. Using a data-driven approach, both decaying efficacy in immune predation and immune recruitment are analysed with results suggesting that decline in recruitment is a stronger determinant of escape than increased resistance to predation. Using a mechanistic approach, the existence of an immune- resistant cancer cell subpopulation is considered, and the effects on cancer dormancy and potential immunoediting mechanisms of cancer escape are analysed and discussed. The immunoediting mechanism assumes that the immune system selectively prunes the cancer of immune-sensitive cells, which is shown to cause an initially heterogeneous population to become a more homogeneous, and more resistant, population. The fact that this selec- tion may result in the appearance of decreasing efficacy in T-cell cytotoxic effect with time in dormancy is also demonstrated. This work suggests that through actions that temporarily delay cancer growth through the targeted removal of immune-sensitive subpopulations, the immune response may actually progress the cancer to a more aggressive state. 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
  • Mathematical models of immune-induced cancer dormancy and the emergence of immune evasion.
  • Wilkie KP, Hahnfeldt P
  • Interface focus , 8/ 2013 , Volume 3 , Issue 4 , pages: 20130010 , PubMed ID: 24511375
  • Center of Cancer Systems Biology, GRI, Saint Elizabeth's Medical Center , Tufts University School of Medicine , 736 Cambridge Street, CBR1, Boston, MA 02135 USA.
  • Cancer dormancy, a state in which cancer cells persist in a host without significant growth, is a natural forestallment of progression to manifest disease and is thus of great clinical interest. Experimental work in mice suggests that in immune-induced dormancy, the longer a cancer remains dormant in a host, the more resistant the cancer cells become to cytotoxic T-cell-mediated killing. In this work, mathematical models are used to analyse the possible causative mechanisms of cancer escape from immune-induced dormancy. Using a data-driven approach, both decaying efficacy in immune predation and immune recruitment are analysed with results suggesting that decline in recruitment is a stronger determinant of escape than increased resistance to predation. Using a mechanistic approach, the existence of an immune-resistant cancer cell subpopulation is considered, and the effects on cancer dormancy and potential immunoediting mechanisms of cancer escape are analysed and discussed. The immunoediting mechanism assumes that the immune system selectively prunes the cancer of immune-sensitive cells, which is shown to cause an initially heterogeneous population to become a more homogeneous, and more resistant, population. The fact that this selection may result in the appearance of decreasing efficacy in T-cell cytotoxic effect with time in dormancy is also demonstrated. This work suggests that through actions that temporarily delay cancer growth through the targeted removal of immune-sensitive subpopulations, the immune response may actually progress the cancer to a more aggressive state.
Contributors
Submitter of the first revision: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men

Metadata information

is (2 statements)
BioModels Database MODEL1907160002
BioModels Database BIOMD0000000751

isDescribedBy (1 statement)
PubMed 24511375

hasTaxon (1 statement)
Taxonomy Homo sapiens

isVersionOf (1 statement)
hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated



Connected external resources

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Name Description Size Actions

Model files

Wilkie2013b.xml SBML L3V1 representation of the tumour-immune basic model 32.68 KB Preview | Download

Additional files

Wilkie2013b.cps CPS file of the model in COPASI 48.42 KB Preview | Download
Wilkie2013b.sedml Auto-generated SEDML file 2.12 KB Preview | Download

  • Model originally submitted by : Jinghao Men
  • Submitted: Jul 16, 2019 4:55:01 PM
  • Last Modified: Jul 16, 2019 4:56:40 PM
Revisions
  • Version: 3 public model Download this version
    • Submitted on: Jul 16, 2019 4:56:40 PM
    • Submitted by: Jinghao Men
    • With comment: Automatically added model identifier BIOMD0000000751
  • Version: 2 public model Download this version
    • Submitted on: Jul 16, 2019 4:55:01 PM
    • Submitted by: Jinghao Men
    • With comment: Edited model metadata online.

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Legends
: Variable used inside SBML models


Species
Species Initial Concentration/Amount
I

Effector Immune Cell
100.0 mmol
C

malignant cell
1.0 mmol
Reactions
Reactions Rate Parameters
=> I; C tumor_microenvironment*y*I*(1-I/(Ie+u*C*I)) y = 0.2 1; Ie = 100.0 1; u = 0.001 1
=> C tumor_microenvironment*a*C*(1-C/K) a = 0.2 1; K = 1.0E10 1
C => ; I tumor_microenvironment*a0*C*I a0 = 1.05E-4 1
Curator's comment:
(added: 16 Jul 2019, 16:56:19, updated: 16 Jul 2019, 16:56:19)
Publication figure 3b reproduced as per literature. Other parts of figure 3 are reproduced with different values of a0. Other figures are reproduced in the resistant model. Figure data is generated using COPASI 4.25 (build 197).