SpringerProtocols: Abstract: 2. A Mathematical Approach for Optimizing Dendritic Cell-Based Immunotherapy

2. A Mathematical Approach for Optimizing Dendritic Cell-Based Immunotherapy

By: Gennady Bocharov^{3 4}, Neville J. Ford⁵, Burkhard Ludewig⁶

Abstract

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Adoptive dendritic cell (DC)-based immunotherapy represents a promising approach to overcome peripheral tolerance against autologous tumor antigens and to maintain protective antitumor immunity. The translation of successful preclinical studies, however, appears to be hampered by new complexities associated with the clinical situation. Mathematical modeling provides the means for qualitative and quantitative analysis, predictions for complex dynamic systems in immunology, and for the design and improvement of therapeutic approaches. We present here a workable computational methodology for developing meaningful data- and hypothesis-driven mathematical models for DC-based immunotherapy with a particular focus on numerical parameter estimation and sensitivity analysis.

Affiliation(s): (3) Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
(4) Department of Mathematics, University College Chester, Chester, UK
(5) Department of Mathematics, University College Chester, Chester, UK
(6) Research Department, Kantonsspital St. Gallen, Switzerland

Book Title: Adoptive Immunotherapy: Methods and Protocols

Series: Methods in Molecular Medicine | Volume: 109 | Pub. Date: Nov-30-2004 | Page Range: 19-33 | DOI: 10.1385/1-59259-862-5:019

Subject: Immunology

Key Words: Mathematical model - immune response - computer simulation - data fitting - parameter estimation - sensitivity analysis - predator-prey dynamics - dendritic cell - cytotoxic T-lymphocyte - numerical software

References

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