The role of TNF-\(\alpha\) inhibitor in glioma virotherapy: a mathematical model

DOI10.3934/mbe.2017020zbMath1362.92034OpenAlexW2531096805WikidataQ40438792 ScholiaQ40438792MaRDI QIDQ335279

Avner Friedman, Maciej Leszczynski, Elzbieta Ratajczyk, Urszula Łedzewicz-Kowalewska

Publication date: 2 November 2016

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2017020

zbMATH Keywords

dynamical systemefficacycombination therapygliomaTNF-\(\alpha\) inhibitorsvirotherapy

Mathematics Subject Classification ID

Medical applications (general) (92C50) Systems biology, networks (92C42)

Related Items (4)

Treatment of glioma with virotherapy and TNF-\(\alpha\) inhibitors: analysis as a dynamical system ⋮ Analysis of a delayed and diffusive oncolytic M1 virotherapy model with immune response ⋮ Optimal control for a mathematical model of glioma treatment with oncolytic therapy and TNF-\(\alpha \) inhibitors ⋮ Multiscale modelling of cancer response to oncolytic viral therapy

Cites Work

• Analysis of a three-way race between tumor growth, a replication-competent virus and an immune response
• Modeling and analysis of a virus that replicates selectively in tumor cells
• Effects of CCN1 and macrophage content on glioma virotherapy: a mathematical model
• Optimal control for mathematical models of cancer therapies. An application of geometric methods
• Mathematical model of sarcoidosis

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