Lolas2016 - tumour-induced neoneurogenesis and perineural tumour growth

Model Identifier
BIOMD0000000750
Short description
The paper describes a model of tumour-induced neoneurogenesis and perineural tumour growth.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Tumour-induced neoneurogenesis and perineural tumour growth: a mathematical approach
Georgios Lolas, Arianna Bianchi and Konstantinos N. Syrigos
Scientific Reports 6:20684
Abstract:
It is well-known that tumours induce the formation of a lymphatic and a blood vasculature around themselves. A similar but far less studied process occurs in relation to the nervous system and is referred to as neoneurogenesis. The relationship between tumour progression and the nervous system is still poorly understood and is likely to involve a multitude of factors. It is therefore relevant to study tumour-nerve interactions through mathematical modelling: this may reveal the most significant factors of the plethora of interacting elements regulating neoneurogenesis. The present work is a first attempt to model the neurobiological aspect of cancer development through a system of differential equations. The model confirms the experimental observations that a tumour is able to promote nerve formation/elongation around itself, and that high levels of nerve growth factor and axon guidance molecules are recorded in the presence of a tumour. Our results also reflect the observation that high stress levels (represented by higher norepinephrine release by sympathetic nerves) contribute to tumour development and spread, indicating a mutually beneficial relationship between tumour cells and neurons. The model predictions suggest novel therapeutic strategies, aimed at blocking the stress effects on tumour growth and dissemination.
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Format
SBML
(L3V1)
Related Publication
-
Tumour-induced neoneurogenesis and perineural tumour growth: a mathematical approach.
- Lolas G, Bianchi A, Syrigos KN
- Scientific reports , 2/ 2016 , Volume 6 , pages: 20684 , PubMed ID: 26861829
- Center for Information Services and High Performance Computing, Q1 Technische Universität Dresden, 01062 Dresden, Germany.
- It is well-known that tumours induce the formation of a lymphatic and a blood vasculature around themselves. A similar but far less studied process occurs in relation to the nervous system and is referred to as neoneurogenesis. The relationship between tumour progression and the nervous system is still poorly understood and is likely to involve a multitude of factors. It is therefore relevant to study tumour-nerve interactions through mathematical modelling: this may reveal the most significant factors of the plethora of interacting elements regulating neoneurogenesis. The present work is a first attempt to model the neurobiological aspect of cancer development through a system of differential equations. The model confirms the experimental observations that a tumour is able to promote nerve formation/elongation around itself, and that high levels of nerve growth factor and axon guidance molecules are recorded in the presence of a tumour. Our results also reflect the observation that high stress levels (represented by higher norepinephrine release by sympathetic nerves) contribute to tumour development and spread, indicating a mutually beneficial relationship between tumour cells and neurons. The model predictions suggest novel therapeutic strategies, aimed at blocking the stress effects on tumour growth and dissemination.
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)
isVersionOf (3 statements)
hasProperty (1 statement)
isDescribedBy (1 statement)
hasTaxon (1 statement)
isVersionOf (3 statements)
hasProperty (1 statement)
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
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Model files |
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Lolas2016.xml | SBML L3V1 representation of the tumour-neuroneogenesis model | 153.97 KB | Preview | Download |
Additional files |
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Lolas2016.cps | CPS file of the model in COPASI | 167.16 KB | Preview | Download |
Lolas2016.sedml | auto-generated SEDML file | 5.05 KB | Preview | Download |
- Model originally submitted by : Jinghao Men
- Submitted: Jul 16, 2019 12:25:31 PM
- Last Modified: Jul 16, 2019 12:25:31 PM
Revisions
Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
Nn noradrenaline |
0.5 mmol |
Tm neoplastic cell |
0.0 mmol |
P parasympathetic neuron |
0.03 mmol |
Na acetylcholine |
80.0 mmol |
S sympathetic neuron |
0.26 mmol |
G Growth Factor |
0.0 mmol |
A axon guidance |
0.0 mmol |
Reactions
Reactions | Rate | Parameters |
---|---|---|
Nn => | tumor_microenvironment*dn*Nn | dn = 1.66 1/d |
=> Tm | tumor_microenvironment*rtm*Tm | rtm = 1.0E-4 1/d |
=> P | tumor_microenvironment*rp*(1-P/kp)*P | kp = 0.03 1/mm^3; rp = 7.0 1/d |
Nn => ; Tp | tumor_microenvironment*y5*Tp*Nn | y5 = 0.002 mm^3/d |
Na => ; Tp | tumor_microenvironment*y6*Tp*Na | y6 = 0.001 mm^3/d |
=> S; A | tumor_microenvironment*A*S/(sigma3+sigma4*A) | sigma4 = 0.01 d; sigma3 = 7.79 d/mm^3 |
G => | tumor_microenvironment*dg*G | dg = 22.18 1/d |
G => ; Tp, S, P | tumor_microenvironment*(y1*Tp+y2*(S+P))*G | y1 = 5.57E-5 mm^3/d; y2 = 0.05 mm^3/d |
Tp => Tm; A, Na | tumor_microenvironment*(u0+u1*A+u2*Na)*Tp | u0 = 0.22 1/d; u1 = 9.8E-6 mm^3/d; u2 = 0.002 mm^3/d |
A => | tumor_microenvironment*dA*A | dA = 2.4 1/d |
Curator's comment:
(added: 16 Jul 2019, 12:24:45, updated: 16 Jul 2019, 12:24:45)
(added: 16 Jul 2019, 12:24:45, updated: 16 Jul 2019, 12:24:45)
Publication figure 2A reproduced as per literature. Other parts of figure 2 are also reproduced. Other figures are reproduced with different sets of parameters. Figure data is generated using COPASI 4.25 (build 197).