Evidence map›Paper›PMID 34621046›Full record

ArticleBritish journal of cancer2021

Quantifying ERK activity in response to inhibition of the BRAFV600E-MEK-ERK cascade using mathematical modelling.

Sara J Hamis, Yury Kapelyukh, Aileen McLaren, Colin J Henderson, C Roland Wolf, Mark A J Chaplain

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Frontiers in systems biology · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sara J HamisSchool of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland, UK. sjh37@st-andrews.ac.uk.ORCID http://orcid.org/0000-0002-1105-8078
Yury KapelyukhSchool of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
Aileen McLarenSchool of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
Colin J HendersonSchool of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
C Roland WolfSchool of Medicine, Jacqui Wood Cancer Centre, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, UK.
Mark A J ChaplainSchool of Mathematics and Statistics, University of St Andrews, St Andrews, Scotland, UK.
University of Dundee · GBUniversity of St Andrews · GB

Funding

RCUK | Medical Research Council (MRC) MR/R017506/1
6 · The paper itself

Abstract

backgroundSimultaneous 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.

methodsWe 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.

resultsThe 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.

conclusionsThe model can be used to systematically motivate which dabrafenib-trametinib dose combinations, for treating BRAFV600E-mutated melanoma, warrant experimental investigation.

Indexed as

MAP Kinase Signaling SystemModels, BiologicalModels, ChemicalExtracellular Signal-Regulated MAP KinasesHumansImidazolesMelanomaMitogen-Activated Protein Kinase KinasesMutationOximesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafPyridonesPyrimidinonesBRAF protein, humandabrafenibExtracellular Signal-Regulated MAP KinasesImidazolesMitogen-Activated Protein Kinase KinasesOximesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafPyridonesPyrimidinonestrametinib

Identifiers

PMID34621046
PMCPMC8608797
OpenAlexW3201715663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.