Evidence map›Paper›PMID 30428505›Full record

ArticleBritish journal of clinical pharmacology2019

Physiologically-based pharmacokinetic modelling to predict oprozomib CYP3A drug-drug interaction potential in patients with advanced malignancies.

Ying Ou, Yang Xu, Lia Gore, R Donald Harvey, Alain Mita, Kyriakos P Papadopoulos, Zhengping Wang, Richard E Cutler, Dawn E Pinchasik, Apostolia M Tsimberidou

Abstract readClinical Trial, Phase IMulticenter Study
In one paragraph

Article in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

10 authors.

Ying OuAmgen Inc., South San Francisco, CA, USA.
Yang XuAmgen Inc., Thousand Oaks, CA, USA.ORCID 0000-0003-4281-3977
Lia GoreUniversity of Colorado Anschutz Medical Campus, Aurora, CO, USA.
R Donald HarveyWinship Cancer Institute of Emory University, Atlanta, GA, USA.
Alain MitaCedars-Sinai Medical Center, Los Angeles, CA, USA.
Kyriakos P PapadopoulosSouth Texas Accelerated Research Therapeutics, San Antonio, TX, USA.
Zhengping WangAmgen Inc., South San Francisco, CA, USA.
Richard E CutlerOnyx Pharmaceuticals, Inc., an Amgen subsidiary, South San Francisco, CA, USA.
Dawn E PinchasikAmgen Inc., South San Francisco, CA, USA.
Apostolia M TsimberidouUniversity of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOprozomib is an oral, second-generation, irreversible proteasome inhibitor currently in clinical development for haematologic malignancies, including multiple myeloma and other malignancies. Oprozomib is a rare example of a small molecule drug that demonstrates cytochrome P450 (CYP) mRNA suppression. This unusual property elicits uncertainty regarding the optimal approach for predicting its drug-drug interaction (DDI) risk. The current study aims to understand DDI potential during early clinical development of oprozomib.

methodsTo support early development of oprozomib (e.g. inclusion/exclusion criteria, combination study design), we used human hepatocyte data and physiologically-based pharmacokinetic (PBPK) modelling to predict its CYP3A4-mediated DDI potential. Subsequently, a clinical DDI study using midazolam as the substrate was conducted in patients with advanced malignancies.

resultsThe clinical DDI study enrolled a total of 21 patients, 18 with advanced solid tumours. No patient discontinued oprozomib due to a treatment-related adverse event. The PBPK model prospectively predicted oprozomib 300 mg would not cause a clinically relevant change in exposure to CYP3A4 substrates (≤30%), which was confirmed by the results of this clinical DDI study.

conclusionsThese results indicate oprozomib has a low potential to inhibit the metabolism of CYP3A4 substrates in humans. The study shows that cultured human hepatocytes are a more reliable system for DDI prediction than human liver microsomes for studying this class of compounds. Developing a PBPK model prior to a clinical DDI study has been valuable in supporting clinical development of oprozomib.

Indexed as

AdultAgedAged, 80 and overCells, CulturedCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsDrug DevelopmentDrug InteractionsFemaleHepatocytesHumansMaleMicrosomes, LiverMidazolamMiddle AgedModels, BiologicalCYP3A4 protein, humanCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsMidazolamOligopeptidesONX 0912Proteasome Inhibitorsanticancer drugscytochrome P450drug interactionsPBPKphase I

Identifiers

PMID30428505
PMCPMC6379218

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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.