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

doi:10.3934/mbe.2020267

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

Bethan Morris

Lee Curtin

Andrea Hawkins-Daarud

Professor Matthew Hubbard MATTHEW.HUBBARD@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTATIONAL AND APPLIED MATHEMATICS

Professor Ruman Rahman RUMAN.RAHMAN@NOTTINGHAM.AC.UK
PROFESSOR OF MOLECULAR NEURO-ONCOLOGY

Stuart J Smith

Professor 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., Auer, D., Tran, N. L., Hu, L. S., Eschbacher, J. M., Smith, K. A., Stokes, A., Swanson, K. R., & 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