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Quantifying ERK activity in response to inhibition of the BRAFV600E-MEK-ERK cascade using mathematical modelling.
Hamis, Sara J; Kapelyukh, Yury; McLaren, Aileen; Henderson, Colin J; Roland Wolf, C; Chaplain, Mark A J.
Afiliación
  • Hamis SJ; School of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland, UK. sjh37@st-andrews.ac.uk.
  • Kapelyukh Y; School of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
  • McLaren A; School of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
  • Henderson CJ; School of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
  • Roland Wolf C; School of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
  • Chaplain MAJ; School of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland, UK.
Br J Cancer ; 125(11): 1552-1560, 2021 11.
Article en En | MEDLINE | ID: mdl-34621046
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Quinasas de Proteína Quinasa Activadas por Mitógenos / Sistema de Señalización de MAP Quinasas / Proteínas Proto-Oncogénicas B-raf / Quinasas MAP Reguladas por Señal Extracelular / Modelos Biológicos / Modelos Químicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Quinasas de Proteína Quinasa Activadas por Mitógenos / Sistema de Señalización de MAP Quinasas / Proteínas Proto-Oncogénicas B-raf / Quinasas MAP Reguladas por Señal Extracelular / Modelos Biológicos / Modelos Químicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido
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