Evidence map›Paper›PMID 35214043›Full record

ArticlePharmaceutics2022

Mechanistically Coupled PK (MCPK) Model to Describe Enzyme Induction and Occupancy Dependent DDI of Dabrafenib Metabolism.

Marco Albrecht, Yuri Kogan, Dagmar Kulms, Thomas Sauter

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

Marco AlbrechtSystems Biology Group, Department of Life Science and Medicine, Université du Luxembourg, 4367 Belvaux, Luxembourg.ORCID 0000-0002-1156-0623
Yuri KoganInstitute for Medical Biomathematics, Bene Ataroth 6099100, Israel.ORCID 0000-0002-1104-4338
Dagmar KulmsExperimental Dermatology, Department of Dermatology, Technical University of Dresden, 01307 Dresden, Germany.ORCID 0000-0001-6874-0548
Thomas SauterSystems Biology Group, Department of Life Science and Medicine, Université du Luxembourg, 4367 Belvaux, Luxembourg.ORCID 0000-0001-8225-2954
University of Luxembourg · LUInstitute for Medical BioMathematics · ILTechnische Universität Dresden · DE

Funding

European Union's Horizon 2020 Marie Skłodowska-Curie grant agreement #642295
6 · The paper itself

Abstract

Dabrafenib inhibits the cell proliferation of metastatic melanoma with the oncogenic BRAF(V600)-mutation. However, dabrafenib monotherapy is associated with pERK reactivation, drug resistance, and consequential relapse. A clinical drug-dose determination study shows increased pERK levels upon daily administration of more than 300 mg dabrafenib. To clarify whether such elevated drug concentrations could be reached by long-term drug accumulation, we mechanistically coupled the pharmacokinetics (MCPK) of dabrafenib and its metabolites. The MCPK model is qualitatively based on in vitro and quantitatively on clinical data to describe occupancy-dependent CYP3A4 enzyme induction, accumulation, and drug-drug interaction mechanisms. The prediction suggests an eight-fold increase in the steady-state concentration of potent desmethyl-dabrafenib and its inactive precursor carboxy-dabrafenib within four weeks upon 150 mg b.d. dabrafenib. While it is generally assumed that a higher dose is not critical, we found experimentally that a high physiological dabrafenib concentration fails to induce cell death in embedded 451LU melanoma spheroids.

Indexed as

CYP3A4dabrafenibDDIenzyme inductionenzyme kineticsMCPKmetabolismPK

Identifiers

PMID35214043
PMCPMC8875124
OpenAlexW4210321590

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.