Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes

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Model Identifier
MODEL2001160002
Short description
Mixed immunotherapy and chemotherapy of tumors: feedback design and model updating schemes.
Chareyron S1, Alamir M.
Author information
Abstract

In this paper, a recently developed model governing the cancer growth on a cell population level with combination of immune and chemotherapy is used to develop a reactive (feedback) mixed treatment strategy. The feedback design proposed here is based on nonlinear constrained model predictive control together with an adaptation scheme that enables the effects of unavoidable modeling uncertainties to be compensated. The effectiveness of the proposed strategy is shown under realistic human data showing the advantage of treatment in feedback form as well as the relevance of the adaptation strategy in handling uncertainties and modeling errors. A new treatment strategy defined by an original optimal control problem formulation is also proposed. This new formulation shows particularly interesting possibilities since it may lead to tumor regression under better health indicator profile.
Format
SBML (L2V4)
Related Publication
  • Mixed immunotherapy and chemotherapy of tumors: feedback design and model updating schemes.
  • Chareyron S, Alamir M
  • Journal of theoretical biology , 6/ 2009 , Volume 258 , Issue 3 , pages: 444-454 , PubMed ID: 18655792
  • CNRS/GIPSA-Lab/University of Grenoble, BP 46, Domaine Universitaire, rue de la Houille Blanche, 38400 Saint Martin d'Hères, France. sophie.chareyron@inpg.fr
  • In this paper, a recently developed model governing the cancer growth on a cell population level with combination of immune and chemotherapy is used to develop a reactive (feedback) mixed treatment strategy. The feedback design proposed here is based on nonlinear constrained model predictive control together with an adaptation scheme that enables the effects of unavoidable modeling uncertainties to be compensated. The effectiveness of the proposed strategy is shown under realistic human data showing the advantage of treatment in feedback form as well as the relevance of the adaptation strategy in handling uncertainties and modeling errors. A new treatment strategy defined by an original optimal control problem formulation is also proposed. This new formulation shows particularly interesting possibilities since it may lead to tumor regression under better health indicator profile.
Contributors
Submitter of the first revision: Mohammad Umer Sharif Shohan
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Mohammad Umer Sharif Shohan

Metadata information

isDescribedBy (2 statements)
PubMed 18655792
#

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (1 statement)
Mathematical Modelling Ontology Ordinary differential equation model

isDerivedFrom (4 statements)
Mathematical Modelling Ontology Ordinary differential equation model
Taxonomy Homo sapiens
#
PubMed 16153659


Curation status
Non-curated



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Model files

Chareyron2009.xml SBML L2V4 Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes 51.50 KB Preview | Download

Additional files

Chareyron2009.cps COPASI version 4.24 (Build 197) Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes 107.50 KB Preview | Download

  • Model originally submitted by : Mohammad Umer Sharif Shohan
  • Submitted: Jan 16, 2020 3:25:31 PM
  • Last Modified: Jan 16, 2020 3:25:31 PM
Revisions
  • Version: 1 public model Download this version
    • Submitted on: Jan 16, 2020 3:25:31 PM
    • Submitted by: Mohammad Umer Sharif Shohan
    • With comment: Import of Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes