Evidence map›Paper›PMID 38288787›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Evaluation of the drug-drug interaction potential of brigatinib using a physiologically-based pharmacokinetic modeling approach.

Michael J Hanley, Karen Rowland Yeo, Meera Tugnait, Shinji Iwasaki, Narayana Narasimhan, Pingkuan Zhang, Karthik Venkatakrishnan, Neeraj Gupta

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
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 at 5 institutions in 3 countries.

Michael J HanleyClinical Pharmacology, Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.ORCID 0000-0001-9266-2797
Karen Rowland YeoSimcyp Division, Certara UK Limited, Sheffield, South Yorkshire, UK.ORCID 0000-0002-7020-1970
Meera TugnaitClinical Pharmacology, Cerevel Therapeutics, Cambridge, Massachusetts, USA.
Shinji IwasakiGlobal DMPK, Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.
Narayana NarasimhanDMPK & Preclinical Safety, Theseus Pharmaceuticals, Cambridge, Massachusetts, USA.
Pingkuan ZhangClinical Science, Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.
Karthik VenkatakrishnanQuantitative Pharmacology, EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts, USA.ORCID 0000-0003-4039-9813
Neeraj GuptaClinical Pharmacology, Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.ORCID 0000-0002-5500-5218
Takeda (United States) · USAbcam (United States) · USCerevel Therapeutics (United States) · USOno Pharmaceutical (United States) · USSimcyp (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brigatinib is an oral anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive metastatic non-small cell lung cancer. In vitro studies indicated that brigatinib is primarily metabolized by CYP2C8 and CYP3A4 and inhibits P-gp, BCRP, OCT1, MATE1, and MATE2K. Clinical drug-drug interaction (DDI) studies with the strong CYP3A inhibitor itraconazole or the strong CYP3A inducer rifampin demonstrated that CYP3A-mediated metabolism was the primary contributor to overall brigatinib clearance in humans. A physiologically-based pharmacokinetic (PBPK) model for brigatinib was developed to predict potential DDIs, including the effect of moderate CYP3A inhibitors or inducers on brigatinib pharmacokinetics (PK) and the effect of brigatinib on the PK of transporter substrates. The developed model was able to predict clinical DDIs with itraconazole (area under the plasma concentration-time curve from time 0 to infinity [AUC

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsOrganophosphorus CompoundsPyrimidinesATP Binding Cassette Transporter, Subfamily G, Member 2Cytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsDrug InteractionsHumansItraconazoleMembrane Transport ProteinsModels, BiologicalNeoplasm ProteinsReceptor Protein-Tyrosine KinasesRifampinATP Binding Cassette Transporter, Subfamily G, Member 2brigatinibCytochrome P-450 CYP3ACytochrome P-450 CYP3A InducersCytochrome P-450 CYP3A InhibitorsItraconazoleMembrane Transport ProteinsNeoplasm ProteinsOrganophosphorus CompoundsPyrimidinesReceptor Protein-Tyrosine KinasesRifampin

Identifiers

PMID38288787
PMCPMC11015081
OpenAlexW4391361045

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.