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Abstract
Background: Simultaneous inhibition of multiple components of the BRAF-MEK-ERK cascade (vertical inhibition) has become a standard of care for treating BRAF-mutant melanoma. However, the molecular mechanism of how vertical inhibition synergistically suppresses intracellular ERK activity, and consequently cell proliferation, are yet to be fully elucidated.
Methods: We develop a mechanistic mathematical model that describes how the mutant BRAF inhibitor, dabrafenib, and the MEK inhibitor, trametinib, affect BRAFV600E-MEK-ERK signalling. The model is based on a system of chemical reactions that describes cascade signalling dynamics. Using mass action kinetics, the chemical reactions are re-expressed as ordinary differential equations that are parameterised by in vitro data and solved numerically to obtain the temporal evolution of cascade component concentrations.
Results: The model provides a quantitative method to compute how dabrafenib and trametinib can be used in combination to synergistically inhibit ERK activity in BRAFV600E-mutant melanoma cells. The model elucidates molecular mechanisms of vertical inhibition of the BRAFV600E-MEK-ERK cascade and delineates how elevated BRAF concentrations generate drug resistance to dabrafenib and trametinib. The computational simulations further suggest that elevated ATP levels could be a factor in drug resistance to dabrafenib.
Conclusions: The model can be used to systematically motivate which dabrafenib-trametinib dose combinations, for treating BRAFV600E-mutated melanoma, warrant experimental investigation.
Original language | English |
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Pages (from-to) | 1552-1560 |
Number of pages | 9 |
Journal | British Journal of Cancer |
Volume | 125 |
Early online date | 7 Oct 2021 |
DOIs | |
Publication status | Published - 23 Nov 2021 |
Keywords
- Computational science
- Melanoma
- Numerical simulations
ASJC Scopus subject areas
- Oncology
- Cancer Research
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Dive into the research topics of 'Quantifying ERK activity in response to inhibition of the BRAFV600E-MEK-ERK cascade using mathematical modelling'. Together they form a unique fingerprint.Projects
- 1 Finished
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Developing New Paradigms for Overcoming Drug Resistance in Cancer Using Novel Humanised Mouse Models (joint with University of St Andrews)
Henderson, C. (Investigator) & Wolf, R. (Investigator)
1/05/18 → 30/04/22
Project: Research