Evidence map›Paper›PMID 34273250›Full record

ArticleCPT: pharmacometrics & systems pharmacology2021

Prediction of the drug-drug interaction potential of the α1-acid glycoprotein bound, CYP3A4/CYP2C9 metabolized oncology drug, erdafitinib.

Loeckie De Zwart, Jan Snoeys, Frank Jacobs, Lilian Y Li, Italo Poggesi, Peter Verboven, Ivo Goris, Ellen Scheers, Inneke Wynant, Mario Monshouwer and 1 more

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Loeckie De ZwartJanssen Research & Development, Beerse, Belgium.
Jan SnoeysJanssen Research & Development, Beerse, Belgium.
Frank JacobsJanssen Research & Development, Beerse, Belgium.
Lilian Y LiJanssen Research & Development, Spring House, Pennsylvania, USA.
Italo PoggesiJanssen-Cilag SpA, Cologno Monzese, Italy.
Peter VerbovenJanssen Research & Development, Beerse, Belgium.
Ivo GorisJanssen Research & Development, Beerse, Belgium.
Ellen ScheersJanssen Research & Development, Beerse, Belgium.
Inneke WynantJanssen Research & Development, Beerse, Belgium.
Mario MonshouwerJanssen Research & Development, Beerse, Belgium.
Rao N V S MamidiJanssen Research & Development, LLC, Raritan, New Jersey, USA.
Janssen (Belgium) · BEJanssen (United States) · USJanssen (Italy) · IT

Funding

Janssen Research & Development, LLC
6 · The paper itself

Abstract

Erdafitinib is a potent oral pan-fibroblast growth factor receptor inhibitor being developed as oncology drug for patients with alterations in the fibroblast growth factor receptor pathway. Erdafitinib binds preferentially to α1-acid glycoprotein (AGP) and is primarily metabolized by cytochrome P450 (CYP) 2C9 and 3A4. This article describes a physiologically based pharmacokinetic (PBPK) model for erdafitinib to assess the drug-drug interaction (DDI) potential of CYP3A4 and CYP2C9 inhibitors and CYP3A4/CYP2C9 inducers on erdafitinib pharmacokinetics (PK) in patients with cancer exhibiting higher AGP levels and in populations with different CYP2C9 genotypes. Erdafitinib's DDI potential as a perpetrator for transporter inhibition and for time-dependent inhibition and/or induction of CYP3A was also evaluated. The PBPK model incorporated input parameters from various in vitro and clinical PK studies, and the model was verified using a clinical DDI study with itraconazole and fluconazole. Erdafitinib clearance in the PBPK model consisted of multiple pathways (CYP2C9/3A4, renal, intestinal; additional hepatic clearance), making the compound less susceptible to DDIs. In poor-metabolizing CYP2C9 populations carrying the CYP2C9*3/*3 genotype, simulations shown clinically relevant increase in erdafitinib plasma concentrations. Simulated luminal and enterocyte concentration showed potential risk of P-glycoprotein inhibition with erdafitinib in the first 5 h after dosing, and simulations showed this interaction can be avoided by staggering erdafitinib and digoxin dosing. Other than a simulated ~ 60% exposure reduction with strong CYP3A/2C inducers such as rifampicin, other DDI liabilities were minimal and considered not clinically relevant.

Indexed as

Models, BiologicalAntineoplastic AgentsCytochrome P-450 CYP2C9Cytochrome P-450 CYP3ACytochrome P-450 Enzyme InducersCytochrome P-450 Enzyme InhibitorsDrug InteractionsGenotypeHumansOrosomucoidPyrazolesQuinoxalinesAntineoplastic AgentsCYP2C9 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 CYP3ACytochrome P-450 Enzyme InducersCytochrome P-450 Enzyme InhibitorserdafitinibOrosomucoidPyrazolesQuinoxalines

Identifiers

PMID34273250
PMCPMC8452301
OpenAlexW3185859080

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.