Evidence map›Paper›PMID 41019984›Full record

ArticleFrontiers in pharmacology2025

Impact of metabolic enzyme activity variability on dabrafenib disposition.

Shi-Yu Wang, Qing Chen, Zhong-Xi Chen, Jing Chen, Jing Yuan, Li-Shang Dai, Lian-Guo Chen, Xiao-Dan Zhang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Shi-Yu Wang *Wenzhou Medical University Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang, China.
Qing Chen *Department of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Zhong-Xi ChenSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jing ChenSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Jing YuanSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Li-Shang DaiSchool of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Lian-Guo ChenDepartment of Pharmacy, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Xiao-Dan ZhangWenzhou Medical University Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The systemic exposure of dabrafenib correlates with its adverse drug reactions. A thorough understanding of its pharmacokinetic profile is crucial for precise clinical application. Methods: An optimized liver microsomal incubation system was established to screen for inhibitors of dabrafenib metabolism. Recombinant human CYP3A4 microsomes were prepared using a baculovirus-insect cell expression system. Analytes were quantified using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The in vivo relevance of the inhibitory effects was further validated in Sprague-Dawley rats. Results: Loratadine was identified as the most potent inhibitor, with IC Discussion: Both loratadine-mediated drug-drug interactions and CYP3A4 genetic polymorphisms critically alter the metabolism of dabrafenib. Dosage adjustments are necessary when these factors are present concurrently.

Indexed as

CYP3A4dabrafenibdrug-drug interactiongenetic polymorphismloratadine

Identifiers

PMID41019984
PMCPMC12460146

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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.