Abernathy2016 - glioblastoma treatment

Model Identifier
BIOMD0000000757
Short description
The paper describes a model of glioblastoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential Equations
Kristen Abernathy and Jeremy Burke BMC
Computational and Mathematical Methods in Medicine Volume 2016, Article ID 1239861, 11 pages
Abstract:
Despite improvements in cancer therapy and treatments, tumor recurrence is a common event in cancer patients. One explanation of recurrence is that cancer therapy focuses on treatment of tumor cells and does not eradicate cancer stem cells (CSCs). CSCs are postulated to behave similar to normal stem cells in that their role is to maintain homeostasis. That is, when the population of tumor cells is reduced or depleted by treatment, CSCs will repopulate the tumor, causing recurrence. In this paper, we study the application of the CSC Hypothesis to the treatment of glioblastoma multiforme by immunotherapy. We extend the work of Kogan et al. (2008) to incorporate the dynamics of CSCs, prove the existence of a recurrence state, and provide an analysis of possible cancerous states and their dependence on treatment levels.
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
-
Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential Equations.
- Abernathy K, Burke J
- Computational and mathematical methods in medicine , 1/ 2016 , Volume 2016 , pages: 1239861 , PubMed ID: 27022405
- Department of Mathematics, Winthrop University, Rock Hill, SC 29733, USA.
- Despite improvements in cancer therapy and treatments, tumor recurrence is a common event in cancer patients. One explanation of recurrence is that cancer therapy focuses on treatment of tumor cells and does not eradicate cancer stem cells (CSCs). CSCs are postulated to behave similar to normal stem cells in that their role is to maintain homeostasis. That is, when the population of tumor cells is reduced or depleted by treatment, CSCs will repopulate the tumor, causing recurrence. In this paper, we study the application of the CSC Hypothesis to the treatment of glioblastoma multiforme by immunotherapy. We extend the work of Kogan et al. (2008) to incorporate the dynamics of CSCs, prove the existence of a recurrence state, and provide an analysis of possible cancerous states and their dependence on treatment levels.
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
Experimental Factor Ontology glioblastoma multiforme
Gene Ontology immune response to tumor cell
Experimental Factor Ontology glioblastoma multiforme
Gene Ontology immune response to tumor cell
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
---|---|---|---|
Model files |
|||
Abernathy2016.xml | SBML L3V1 representation of the glioblastoma model | 125.50 KB | Preview | Download |
Additional files |
|||
Abernathy2016.cps | CPS file of the model in COPASI | 132.47 KB | Preview | Download |
Abernathy2016.sedml | Auto-generated SEDML file | 2.79 KB | Preview | Download |
- Model originally submitted by : Jinghao Men
- Submitted: Jul 24, 2019 9:31:20 AM
- Last Modified: Jul 24, 2019 9:31:20 AM
Revisions
Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
TGFb Transforming growth factor beta-1 |
50.0 mmol |
CancerStemCell cancer stem cell |
30.0 mmol |
Tumor Plot malignant cell |
7.0E-7 mmol |
Tumor malignant cell |
70.0 mmol |
CSC Plot cancer stem cell |
3.0E-6 mmol |
CytotoxicTcell cytotoxic T cell |
250.0 mmol |
Reactions
Reactions | Rate | Parameters |
---|---|---|
=> TGFb; Tumor | tumor_microenvironment*abt*Tumor | abt = 5.75E-6 1/h |
=> CancerStemCell | tumor_microenvironment*r2*CancerStemCell*(1-CancerStemCell/k2) | k2 = 1.0E7 1; r2 = 0.1 1/h |
=> TGFb; CancerStemCell | tumor_microenvironment*abs*CancerStemCell | abs = 5.75E-6 1/h |
Tumor_Plot = Tumor/100000000 | [] | [] |
Tumor => ; MHC1, TGFb, CytotoxicTcell | tumor_microenvironment*at*MHC1/(MHC1+etb)*(atb+etb*(1-atb)/(TGFb+etb))*CytotoxicTcell*Tumor/(ht+Tumor) | atb = 0.69 1; at = 0.12 1/h; ht = 5.0E8 1; etb = 10000.0 1 |
CSC_Plot = CancerStemCell/10000000 | [] | [] |
CancerStemCell => Tumor | tumor_microenvironment*ra*Tumor/k1*CancerStemCell/k2*(k1-Tumor) | k1 = 1.0E8 1; k2 = 1.0E7 1; ra = 0.006 1/h |
=> CytotoxicTcell | tumor_microenvironment*N | N = 0.0 1/h |
CancerStemCell => ; MHC1, TGFb, CytotoxicTcell | tumor_microenvironment*as*MHC1/(MHC1+esb)*(asb+esb*(1-asb)/(TGFb+esb))*CytotoxicTcell*CancerStemCell/(hs+CancerStemCell) | hs = 5.0E8 1; asb = 0.69 1; as = 0.012 1/h; esb = 10000.0 1 |
=> TGFb | tumor_microenvironment*gb | gb = 63945.0 1/h |
Curator's comment:
(added: 24 Jul 2019, 09:30:53, updated: 24 Jul 2019, 09:30:53)
(added: 24 Jul 2019, 09:30:53, updated: 24 Jul 2019, 09:30:53)
Publication figure 1 reproduced as per literature. Figure data is generated using COPASI 4.25 (build 197).