Bethan Morris
Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations
Morris, Bethan; Curtin, Lee; Hawkins-Daarud, Andrea; Hubbard, Matthew E; Rahman, Ruman; Smith, Stuart J; Auer, Dorothee; Tran, Nhan L; Hu, Leland S; Eschbacher, Jennifer M; Smith, Kris A; Stokes, Ashley; Swanson, Kristin R; Owen, Markus R
Authors
Lee Curtin
Andrea Hawkins-Daarud
MATTHEW HUBBARD MATTHEW.HUBBARD@NOTTINGHAM.AC.UK
Professor of Computational and Applied Mathematics
RUMAN RAHMAN RUMAN.RAHMAN@NOTTINGHAM.AC.UK
Professor of Molecular Neuro-Oncology
Stuart J Smith
DOROTHEE AUER dorothee.auer@nottingham.ac.uk
Professor of Neuroimaging
Nhan L Tran
Leland S Hu
Jennifer M Eschbacher
Kris A Smith
Ashley Stokes
Kristin R Swanson
Professor MARKUS OWEN MARKUS.OWEN@NOTTINGHAM.AC.UK
Professor of Mathematical Biology
Abstract
Glioblastomas (GBMs) are the most aggressive primary brain tumours and have no known cure. Each individual tumour comprises multiple sub-populations of genetically-distinct cells that may respond differently to targeted therapies and may contribute to disappointing clinical trial results. Image-localized biopsy techniques allow multiple biopsies to be taken during surgery and provide information that identifies regions where particular sub-populations occur within an individual GBM, thus providing insight into their regional genetic variability. These sub-populations may also interact with one another in a competitive or cooperative manner; it is important to ascertain the nature of these interactions, as they may have implications for responses to targeted therapies.
Citation
Morris, B., Curtin, L., Hawkins-Daarud, A., Hubbard, M. E., Rahman, R., Smith, S. J., …Owen, M. R. (2020). Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations. Mathematical Biosciences and Engineering, 17(5), 4905-4941. https://doi.org/10.3934/mbe.2020267
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 2, 2020 |
Online Publication Date | Jul 16, 2020 |
Publication Date | Jul 16, 2020 |
Deposit Date | Jul 2, 2020 |
Publicly Available Date | Jul 17, 2021 |
Journal | Mathematical Biosciences and Engineering |
Print ISSN | 1547-1063 |
Publisher | American Institute of Mathematical Sciences (AIMS) |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 5 |
Pages | 4905-4941 |
DOI | https://doi.org/10.3934/mbe.2020267 |
Keywords | glioblastoma; EGFR; PDGFRA; interactions; mathematical oncology |
Public URL | https://nottingham-repository.worktribe.com/output/4745017 |
Publisher URL | http://www.aimspress.com/article/10.3934/mbe.2020267 |
Files
mbe-17-05-267
(2.8 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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