# A Computational Framework to Assess the Efficacy of Cytotoxic Molecules and Vascular Disrupting Agents against Solid Tumours

M. Pons-Salort; B. van der Sanden; A. Juhem; A. Popov; A. Stéphanou

Mathematical Modelling of Natural Phenomena (2012)

- Volume: 7, Issue: 1, page 49-77
- ISSN: 0973-5348

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topPons-Salort, M., et al. "A Computational Framework to Assess the Efficacy of Cytotoxic Molecules and Vascular Disrupting Agents against Solid Tumours." Mathematical Modelling of Natural Phenomena 7.1 (2012): 49-77. <http://eudml.org/doc/222279>.

@article{Pons2012,

abstract = {A computational framework for testing the effects of cytotoxic molecules, specific to a
given phase of the cell cycle, and vascular disrupting agents (VDAs) is presented. The
model is based on a cellular automaton to describe tumour cell states transitions from
proliferation to death. It is coupled with a model describing the tumour vasculature and
its adaptation to the blood rheological constraints when alterations are induced by VDAs
treatment. Several therapeutic protocols in two structurally different vascular networks
were tested by varying the duration of cytotoxic drug perfusion and the periodicity of
treatment cycles. The impact of VDAs were also tested both experimentally from intravital
microscopy through a dorsal skinfold chamber on a mouse and numerically. Simulation
results show that combining cytotoxic treatment with a post treatment of VDA through a
judicious timing could favour the rapid eradication of the tumour. The computational
framework thus gives some insights into the outcome of cytotoxic and VDAs treatments on a
qualitative basis. Future validation from our experimental setup could open up new
perspectives towards Computer-Assisted Therapeutic Strategies.},

author = {Pons-Salort, M., van der Sanden, B., Juhem, A., Popov, A., Stéphanou, A.},

journal = {Mathematical Modelling of Natural Phenomena},

keywords = {computational modelling; cellular automaton; cytotoxic molecules; vascular disrupting agents; vascular tumour growth; therapeutic protocols},

language = {eng},

month = {1},

number = {1},

pages = {49-77},

publisher = {EDP Sciences},

title = {A Computational Framework to Assess the Efficacy of Cytotoxic Molecules and Vascular Disrupting Agents against Solid Tumours},

url = {http://eudml.org/doc/222279},

volume = {7},

year = {2012},

}

TY - JOUR

AU - Pons-Salort, M.

AU - van der Sanden, B.

AU - Juhem, A.

AU - Popov, A.

AU - Stéphanou, A.

TI - A Computational Framework to Assess the Efficacy of Cytotoxic Molecules and Vascular Disrupting Agents against Solid Tumours

JO - Mathematical Modelling of Natural Phenomena

DA - 2012/1//

PB - EDP Sciences

VL - 7

IS - 1

SP - 49

EP - 77

AB - A computational framework for testing the effects of cytotoxic molecules, specific to a
given phase of the cell cycle, and vascular disrupting agents (VDAs) is presented. The
model is based on a cellular automaton to describe tumour cell states transitions from
proliferation to death. It is coupled with a model describing the tumour vasculature and
its adaptation to the blood rheological constraints when alterations are induced by VDAs
treatment. Several therapeutic protocols in two structurally different vascular networks
were tested by varying the duration of cytotoxic drug perfusion and the periodicity of
treatment cycles. The impact of VDAs were also tested both experimentally from intravital
microscopy through a dorsal skinfold chamber on a mouse and numerically. Simulation
results show that combining cytotoxic treatment with a post treatment of VDA through a
judicious timing could favour the rapid eradication of the tumour. The computational
framework thus gives some insights into the outcome of cytotoxic and VDAs treatments on a
qualitative basis. Future validation from our experimental setup could open up new
perspectives towards Computer-Assisted Therapeutic Strategies.

LA - eng

KW - computational modelling; cellular automaton; cytotoxic molecules; vascular disrupting agents; vascular tumour growth; therapeutic protocols

UR - http://eudml.org/doc/222279

ER -

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