Eftimie2010 - immunity to melanoma

Model Identifier
BIOMD0000000768
Short description
The paper describes a model of immunity to melanoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modeling anti-tumor Th1 and Th2 immunity in the rejection of melanoma
Raluca Eftimie, Jonathan L. Bramson, David J.D. Earn
Journal of Theoretical Biology 265 (2010) 467–480
Abstract:
Recent experiments indicate that CD4+ Th2 cells can reject skin tumors in mice, while CD4+ Th1 cells cannot (Mattes et al., 2003; Zhang et al., 2009). These results are surprising because CD4+ Th1 cells are typically considered to be capable of tumor rejection. We used mathematical models to investigate this unexpected outcome. We found that neither CD4+ Th1 nor CD4+ Th2 cells could eliminate the cancer cells when acting alone, but that tumor elimination could be induced by recruitment of eosinophils by the Th2 cells. These recruited eosinophils had unexpected indirect effects on the decay rate of type 2 cytokines and the rate at which Th2 cells are inactivated through interactions with cancer cells. Strikingly, the presence of eosinophils impacted tumor growth more significantly than the release of tumor-suppressing cytokines such as IFN-g and TNF-a. Our simulations suggest that novel strategies to enhance eosinophil recruitment into skin tumors may improve cancer immunotherapies.
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Format
SBML
(L3V1)
Related Publication
-
Modeling anti-tumor Th1 and Th2 immunity in the rejection of melanoma.
- Eftimie R, Bramson JL, Earn DJ
- Journal of theoretical biology , 8/ 2010 , Volume 265 , Issue 3 , pages: 467-480 , PubMed ID: 20450922
- Department of Mathematics and Statistics, McMaster University, Hamilton, ON, Canada L8S 4K1. reftimie@math.mcmaster.ca
- Recent experiments indicate that CD4(+) Th2 cells can reject skin tumors in mice, while CD4(+) Th1 cells cannot (Mattes et al., 2003; Zhang et al., 2009). These results are surprising because CD4(+) Th1 cells are typically considered to be capable of tumor rejection. We used mathematical models to investigate this unexpected outcome. We found that neither CD4(+) Th1 nor CD4(+) Th2 cells could eliminate the cancer cells when acting alone, but that tumor elimination could be induced by recruitment of eosinophils by the Th2 cells. These recruited eosinophils had unexpected indirect effects on the decay rate of type 2 cytokines and the rate at which Th2 cells are inactivated through interactions with cancer cells. Strikingly, the presence of eosinophils impacted tumor growth more significantly than the release of tumor-suppressing cytokines such as IFN-gamma and TNF-alpha. Our simulations suggest that novel strategies to enhance eosinophil recruitment into skin tumors may improve cancer immunotherapies.
Contributors
Submitter of the first revision: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men
Submitter of this revision: Jinghao Men
Modellers: Jinghao Men
Metadata information
is (2 statements)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (3 statements)
isDescribedBy (1 statement)
hasTaxon (1 statement)
hasProperty (3 statements)
Mathematical Modelling Ontology
Ordinary differential equation model
Gene Ontology immune response to tumor cell
Experimental Factor Ontology melanoma
Gene Ontology immune response to tumor cell
Experimental Factor Ontology melanoma
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
---|---|---|---|
Model files |
|||
Eftimie2010.xml | SBML L3V1 representation of melanoma immune model | 94.72 KB | Preview | Download |
Additional files |
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Eftimie2010.cps | CPS file of the model in COPASI | 150.06 KB | Preview | Download |
Eftimie2010.sedml | Auto-generated SEDML file | 1.63 KB | Preview | Download |
- Model originally submitted by : Jinghao Men
- Submitted: Jul 30, 2019 3:26:30 PM
- Last Modified: Jul 30, 2019 3:26:30 PM
Revisions
Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
T malignant cell |
100000.0 mmol |
Cp Cytokine |
0.0 mmol |
C Cytokine |
0.0 mmol |
Th helper T cell |
0.0 mmol |
Cs Cytokine |
0.0 mmol |
Reactions
Reactions | Rate | Parameters |
---|---|---|
=> T; Cp, Cs | tme*atum*T*(1+kp*Cp)*(1-ktum*T)/(1+ks*Cs) | atum = 0.514 1/d; kp = 1.0 1; ktum = 1.02E-9 1; ks = 1.0 1 |
Cp => | tme*jtp*Cp | jtp = 34.0 1/d |
=> Cp; T | tme*i3t*T^2/(h1^2+T^2) | h1 = 1000000.0 1; i3t = 10.0 1/d |
C => | tme*j0*C | j0 = 34.0 1/d |
Th => ; T | tme*dth*T*Th | dth = 1.0E-7 1/d |
Th => | tme*cth*f | cth = 0.1 1/d; f = 0.0 1 |
=> Cp; Th, T | tme*(i31*Th+c)*T/(h2+T) | h2 = 1000.0 1; i31 = 3.8E-4 1/d; c = 1.0 1/d |
=> C; Th, T, Cp | tme*(i11*Th+c)*T/((h2+T)*(1+kp*Cp)) | kp = 1.0 1; h2 = 1000.0 1; i11 = 5.4 1/d; c = 1.0 1/d |
T => ; Cs | tme*gtum*Cs*T/(h0+T) | h0 = 100000.0 1; gtum = 0.2 1/d |
=> Cs; Th, T, Cp | tme*(i21*Th+c)*T/((h2+T)*(1+kp*Cp)) | kp = 1.0 1; h2 = 1000.0 1; i21 = 8.6 1/d; c = 1.0 1/d |
Curator's comment:
(added: 30 Jul 2019, 15:26:18, updated: 30 Jul 2019, 15:26:18)
(added: 30 Jul 2019, 15:26:18, updated: 30 Jul 2019, 15:26:18)
Publication figure 1 reproduced as per literature. Figure data is generated using COPASI 4.25 (build 197).