Evidence map›Paper›PMID 40233610›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2025

Impact of variation in CYP3A and CYP2C8 on tucatinib metabolic clearance in human liver microsomes.

Bethany D Latham, Pegah Montazeri, Licza F Lobo, John K Fallon, Klarissa D Jackson

Abstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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

5 authors.

Bethany D LathamDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Pegah MontazeriDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Licza F LoboDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
John K FallonDivision of Pharmacoengineering and Molecular Pharmaceutics, and Center for Nanotechnology in Drug Delivery, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Klarissa D JacksonDivision of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Electronic address: klarissa.jackson@unc.edu.

Funding

Interindividual Variability in Drug Metabolism in Representative PopulationsR35GM143044 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Klarissa D. Jackson · 2021 to 2026
$2.3M
Shared UPLC-MS/MS for Absolute Quantitative ProteomicsS10RR024595 · NCRR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SMITH, PHILIP C · 2008 to 2008
$381k
NCRR NIH HHS S10 RR024595NIGMS NIH HHS R35 GM143044
6 · The paper itself

Abstract

Tucatinib is a small molecule tyrosine kinase inhibitor indicated for HER2-positive breast cancer. This recently approved drug is primarily metabolized by cytochrome P450 (P450) 2C8 and CYP3A. Given the interindividual variability in the pharmacokinetics of some kinase inhibitors, the present study explored how variability in CYP2C8 and CYP3A activities and concentrations can influence variability in overall tucatinib metabolic clearance in vitro. Tucatinib depletion, P450 activities, and P450 concentrations were measured in human liver microsomes from 21 donors (males n = 11, females n = 10). CYP2C8 and CYP3A activities were quantitated by liquid chromatography-tandem mass spectrometry analysis using the following marker reactions: amodiaquine N-deethylation and midazolam 1'-hydroxylation, respectively. CYP2C8, CYP3A4, and CYP3A5 protein concentrations were measured using quantitative targeted absolute proteomics. The minimum clearance rate was 2.01 μL/mg/min, and the maximum clearance rate was 28.9 μL/mg/min, indicating a 14.3-fold variation in the apparent tucatinib clearance between donors. Tucatinib clearance was significantly correlated with both CYP2C8 and CYP3A enzyme activities and protein concentrations in this donor cohort (r = 0.781, r = 0.904, r = 0.907, and r = 0.882, respectively). A multiple linear regression model was developed to determine the most significant parameters influencing tucatinib clearance. Overall, we found that CYP2C8 and CYP3A activities were significant predictors of tucatinib apparent clearance in human liver microsomes from individual donors. Proteomics data are available with identifier PXD057282 via ProteomeXchange. SIGNIFICANCE STATEMENT: The results from this study demonstrate a strong relationship between CYP2C8 and CYP3A phenotypes and interindividual variability in tucatinib metabolism. By elucidating how variability in CYP2C8 and CYP3A phenotypes influence tucatinib pharmacokinetics, this study has the potential to provide the framework for future studies that could inform dosing to minimize adverse events and improve therapeutic outcomes. Ultimately, understanding how individual cytochrome P450 phenotypes influence the clearance of cancer therapeutics will aid in the development of tailored regimens for diverse patient populations.

Indexed as

Cytochrome P-450 CYP2C8Cytochrome P-450 CYP3AMicrosomes, LiverPyridinesQuinazolinesAdultFemaleHumansMaleMetabolic Clearance RateMiddle AgedTandem Mass SpectrometryCYP2C8 protein, humanCYP3A5 protein, humanCYP3A protein, humanCytochrome P-450 CYP2C8Cytochrome P-450 CYP3APyridinesQuinazolinesCytochrome P450Interindividual variabilityKinase inhibitor

Identifiers

PMID40233610
PMCPMC13095627

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Registered trials

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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.