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On the importance of the submicrovascular network in a computational model of tumour growth
- Source :
- Microvascular Research, Microvascular Research, 2012, 84 (2), pp.188-204. ⟨10.1016/j.mvr.2012.06.001⟩, Microvascular Research, Elsevier, 2012, 84 (2), pp.188-204. ⟨10.1016/j.mvr.2012.06.001⟩
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; A computational model is potentially a powerful tool to apprehend complex phenomena like solid tumour growth and to predict the outcome of therapies. To that end, the confrontation of the model with experiments is essential to validate this tool. In this study, we develop a computational model specifically dedicated to the interpretation of tumour growth as observed in a mouse model with a dorsal skinfold chamber. Observation of the skin vasculature at the dorsal window scale shows a sparse network of a few main vessels of several hundreds micrometers in diameter. However observation at a smaller scale reveals the presence of a dense and regular interconnected network of capillaries about ten times smaller. We conveniently designate this structure as the submicrovascular network (SMVN).(1) The question that we wish to answer concerns the necessity of explicitly taking into account the SMVN in the computational model to describe the tumour evolution observed in the dorsal chamber. For that, simulations of tumour growth realised with and without the SMVN are compared and lead to two distinct scenarios. Parameters that are known to strongly influence the tumour evolution are then tested in the two cases to determine to which extent those parameters can be used to compensate the observed differences between these scenarios. Explicit modelling of the smallest vessels appears mandatory although not necessarily under the form of a regular grid. A compromise between the two investigated cases can thus be reached.
- Subjects :
- Vascular Endothelial Growth Factor A
MESH: Tumor Burden
MESH: Models, Cardiovascular
Time Factors
Computer science
MESH: Cell Hypoxia
Tumor burden
hybrid model
Apoptosis
Biochemistry
MESH: Glioma
Mice
angiogenesis
0302 clinical medicine
MESH: Animals
Skin
0303 health sciences
Neovascularization, Pathologic
Models, Cardiovascular
Glioma
Cell Hypoxia
Tumor Burden
MESH: Reproducibility of Results
computational model
030220 oncology & carcinogenesis
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Cardiology and Cardiovascular Medicine
Hybrid model
Algorithm
MESH: Oxygen
Dorsum
Scale (ratio)
Mice, Nude
[SDV.CAN]Life Sciences [q-bio]/Cancer
Regular grid
03 medical and health sciences
Necrosis
[SDV.CAN] Life Sciences [q-bio]/Cancer
MESH: Skin
MESH: Computer Simulation
MESH: Cell Proliferation
MESH: Mice, Nude
Animals
Computer Simulation
[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
dorsal skinfold chamber
MESH: Mice
030304 developmental biology
Mice nude
Cell Proliferation
Solid tumour
MESH: Necrosis
MESH: Capillaries
MESH: Apoptosis
MESH: Vascular Endothelial Growth Factor A
tumour growth
MESH: Time Factors
Reproducibility of Results
Cell Biology
Capillaries
Oxygen
Microvascular Network
microvascular network
multiscale model
MESH: Neovascularization, Pathologic
Subjects
Details
- Language :
- English
- ISSN :
- 00262862 and 10959319
- Database :
- OpenAIRE
- Journal :
- Microvascular Research, Microvascular Research, 2012, 84 (2), pp.188-204. ⟨10.1016/j.mvr.2012.06.001⟩, Microvascular Research, Elsevier, 2012, 84 (2), pp.188-204. ⟨10.1016/j.mvr.2012.06.001⟩
- Accession number :
- edsair.doi.dedup.....9058c2db148ef5f869c30236d0a8bfb2