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A Mechanistic Investigation into Ischemia-Driven Distal Recurrence of Glioblastoma

Curtin, Lee; Hawkins-Daarud, Andrea; Porter, Alyx B.; van der Zee, Kristoffer G.; Owen, Markus R.; Swanson, Kristin R.

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Authors

Lee Curtin

Andrea Hawkins-Daarud

Alyx B. Porter

KRISTOFFER VAN DER ZEE KG.VANDERZEE@NOTTINGHAM.AC.UK
Professor of Numerical Analysis &computational Applied Mathematics

Kristin R. Swanson



Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumor with a short median survival. Tumor recurrence is a clinical expectation of this disease and usually occurs along the resection cavity wall. However, previous clinical observations have suggested that in cases of ischemia following surgery, tumors are more likely to recur distally. Through the use of a previously established mechanistic model of GBM, the Proliferation Invasion Hypoxia Necrosis Angiogenesis (PIHNA) model, we explore the phenotypic drivers of this observed behavior. We have extended the PIHNA model to include a new nutrient-based vascular efficiency term that encodes the ability of local vasculature to provide nutrients to the simulated tumor. The extended model suggests sensitivity to a hypoxic microenvironment and the inherent migration and proliferation rates of the tumor cells are key factors that drive distal recurrence.

Citation

Curtin, L., Hawkins-Daarud, A., Porter, A. B., van der Zee, K. G., Owen, M. R., & Swanson, K. R. (2020). A Mechanistic Investigation into Ischemia-Driven Distal Recurrence of Glioblastoma. Bulletin of Mathematical Biology, 82(11), Article 143. https://doi.org/10.1007/s11538-020-00814-y

Journal Article Type Article
Acceptance Date Sep 25, 2020
Online Publication Date Nov 7, 2020
Publication Date Nov 7, 2020
Deposit Date Dec 2, 2020
Publicly Available Date Nov 8, 2021
Journal Bulletin of Mathematical Biology
Print ISSN 0092-8240
Electronic ISSN 1522-9602
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 82
Issue 11
Article Number 143
DOI https://doi.org/10.1007/s11538-020-00814-y
Keywords Immunology; General Biochemistry, Genetics and Molecular Biology; Computational Theory and Mathematics; General Neuroscience; Pharmacology; General Agricultural and Biological Sciences; General Mathematics; General Environmental Science
Public URL https://nottingham-repository.worktribe.com/output/5040232
Publisher URL https://link.springer.com/article/10.1007/s11538-020-00814-y

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