Evidence map›Paper›PMID 32886148›Full record

ArticleCancer chemotherapy and pharmacology2020

Physiologically based pharmacokinetic modeling to assess metabolic drug-drug interaction risks and inform the drug label for fedratinib.

Fan Wu, Gopal Krishna, Sekhar Surapaneni

Open access · hybridAbstract read
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 19 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

3 authors at 2 institutions in 4 countries.

Fan WuNonclinical Research and Development, Bristol Myers Squibb, Summit, NJ, USA. fan.wu@bms.com.ORCID 0000-0001-8339-4049
Gopal KrishnaClinical Pharmacology, Bristol Myers Squibb, Summit, NJ, USA.
Sekhar SurapaneniNonclinical Research and Development, Bristol Myers Squibb, Summit, NJ, USA.
Bristol-Myers Squibb (United States) · USBristol-Myers Squibb (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFedratinib (INREBIC

methodsThe physiologically based pharmacokinetic (PBPK) model of fedratinib was constructed in Simcyp

resultsThe validated PBPK model was applied to predict DDIs between fedratinib and CYP modulators or substrates. The model simulations indicated that the fedratinib-as-victim DDI extent in terms of geometric mean area under curve (AUC) at steady state is about twofold or 1.2-fold when strong or moderate CYP3A4 inhibitors, respectively, are co-administered with repeated doses of fedratinib. In addition, the PBPK model successfully captured the perpetrator DDI effect of fedratinib on a sensitive CY3A4 substrate midazolam and predicted minor effects of fedratinib on CYP2C8/9 substrates.

conclusionsThe PBPK-DDI model of fedratinib facilitated drug development by identifying DDI potential, optimizing clinical study designs, supporting waivers for clinical studies, and informing drug label claims. Fedratinib dose should be reduced to 200 mg QD when a strong CYP3A4 inhibitor is co-administered and then re-escalated to 400 mg in a stepwise manner as tolerated after the strong CYP3A4 inhibitor is discontinued.

Indexed as

Models, BiologicalArea Under CurveBenzenesulfonamidesComputer SimulationCytochrome P-450 CYP2C8Cytochrome P-450 CYP2C9Cytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsDrug InteractionsDrug LabelingHealthy VolunteersHumansJanus Kinase 2KetoconazoleMidazolamPrimary MyelofibrosisBenzenesulfonamidesCYP2C8 protein, humanCYP2C9 protein, humanCYP3A4 protein, humanCytochrome P-450 CYP2C8Cytochrome P-450 CYP2C9Cytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsfedratinibJAK2 protein, humanJanus Kinase 2KetoconazoleMidazolamProtein Kinase InhibitorsPyrrolidinesSulfonamidesDrug–drug interactionFedratinibMetabolic inhibitionPBPKSimcyp

Identifiers

PMID32886148
PMCPMC7515950
OpenAlexW3083186358

What OpenQuestion holds

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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.