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

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