The biology and mathematical modelling of glioma invasion: a review

J. C. L. Alfonso, K. Talkenberger, M. Seifert, B. Klink, A. Hawkins-Daarud, K. R. Swanson, H. Hatzikirou, A. Deutsch

doi:10.1098/rsif.2017.0490

The biology and mathematical modelling of glioma invasion: a review

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J. C. L. Alfonso

Department of Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
K. Talkenberger

Centre for Information Services and High Performance Computing, Technische Universität Dresden, Germany
M. Seifert

Institute for Medical Informatics and Biometry, Technische Universität Dresden, Germany
B. Klink

Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Germany
A. Hawkins-Daarud

Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, USA
K. R. Swanson

Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, USA
H. Hatzikirou

Department of Systems Immunology and Braunschweig Integrated Centre of Systems Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany
A. Deutsch

Centre for Information Services and High Performance Computing, Technische Universität Dresden, Germany

書誌事項

公開日: 2017-11

権利情報

https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

DOI

10.1098/rsif.2017.0490

公開者: The Royal Society

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説明

<jats:p>Adult gliomas are aggressive brain tumours associated with low patient survival rates and limited life expectancy. The most important hallmark of this type of tumour is its invasive behaviour, characterized by a markedly phenotypic plasticity, infiltrative tumour morphologies and the ability of malignant progression from low- to high-grade tumour types. Indeed, the widespread infiltration of healthy brain tissue by glioma cells is largely responsible for poor prognosis and the difficulty of finding curative therapies. Meanwhile, mathematical models have been established to analyse potential mechanisms of glioma invasion. In this review, we start with a brief introduction to current biological knowledge about glioma invasion, and then critically review and highlight future challenges for mathematical models of glioma invasion.</jats:p>