Evidence map›Paper›PMID 32328976›Full record

Observational studyClinical pharmacokinetics2020

Population Pharmacokinetics of Ibrutinib and Its Dihydrodiol Metabolite in Patients with Lymphoid Malignancies.

Fanny Gallais, Loïc Ysebaert, Fabien Despas, Sandra De Barros, Loïc Dupré, Anne Quillet-Mary, Caroline Protin, Fabienne Thomas, Lucie Obéric, Ben Allal and 2 more

Registry-linked trialAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02824159 (Real Life Assessment of the Association and Its Determinants Between Side Effects and Plasmatic Concentrations of Two Protein Kinase Inhibitors), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT02824159 completednot on this map

Real Life Assessment of the Association and Its Determinants Between Side Effects and Plasmatic Concentrations of Two Protein Kinase Inhibitors: Ibrutinib (IMBRUVICA®) and Idelalisib (ZYDELIG®) in Hematological Malignancies Treatment.

TypeobservationalSponsorUniversity Hospital, ToulouseRan2016 to 2020Enrolled121ConditionsHematological MalignanciesArmsBlood samples for pharmacokinetics exploration, Imagery, Quality of life scale, Detection of adverse events, Saliva samples
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Population Pharmacokinetics of Ibrutinib in Healthy Adults.European journal of drug metabolism and pharmacokinetics · 2021
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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

12 authors at 6 institutions in 1 country.

Fanny GallaisCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Loïc YsebaertCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France. ysebaert.loic@iuct-oncopole.fr.
Fabien DespasDepartment of Medical and Clinical Pharmacology, Centre of PharmacoVigilance, Pharmacoepidemiology and Drug Information, INSERM, UMR-1027, Pharmacoepidemiology, Assessment of Drug Utilization and Drug Safety, CIC 1426, Toulouse University Hospital, Toulouse, France.
Sandra De BarrosDepartment of Medical and Clinical Pharmacology, Toulouse University Hospital, Toulouse, France.
Loïc DupréCenter for Pathophysiology of Toulouse Purpan, INSERM UMR1043, CNRS UMR5282, Paul Sabatier University, Toulouse, France.
Anne Quillet-MaryCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Caroline ProtinDepartment of Hematology, Institut Universitaire du Cancer de Toulouse-Oncopole, 1 avenue Irène Joliot-Curie, 31059, Toulouse, France.
Fabienne ThomasCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Lucie ObéricDepartment of Hematology, Institut Universitaire du Cancer de Toulouse-Oncopole, 1 avenue Irène Joliot-Curie, 31059, Toulouse, France.
Ben AllalCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Etienne ChatelutCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Mélanie White-KoningCancer Research Center of Toulouse, INSERM, UMR-1037, CNRS ERL5294, Paul Sabatier University, Toulouse, France.
Centre National de la Recherche Scientifique · FRCentre de Recherche en Cancérologie de Toulouse · FRInstitut universitaire du cancer de Toulouse Oncopole · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRInserm · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveIbrutinib is used for the treatment of chronic lymphocytic leukemia and other lymphoid malignancies. The aim of this work is to develop a population pharmacokinetic model for ibrutinib and its dihydrodiol metabolite to quantify pharmacokinetic inter- and intra-individual variability, to evaluate the impact of several covariates on ibrutinib pharmacokinetic parameters, and to examine the relationship between exposure and clinical outcome.

methodsPatients treated with ibrutinib were included in the study and followed up for 2 years. Pharmacokinetic blood samples were taken from months 1 to 12 after inclusion. Ibrutinib and dihydrodiol-ibrutinib concentrations were assessed using ultra-performance liquid chromatography tandem mass spectrometry. A population pharmacokinetic model was developed using NONMEM version 7.4.

resultsA total of 89 patients and 1501 plasma concentrations were included in the pharmacokinetic analysis. The best model consisted in two compartments for each molecule. Absorption was described by a sequential zero first-order process and a lag time. Ibrutinib was either metabolised into dihydrodiol-ibrutinib or excreted through other elimination routes. A link between the dosing compartment and the dihydrodiol-ibrutinib central compartment was added to assess for high first-pass hepatic metabolism. Ibrutinib clearance had 67% and 47% inter- and intra-individual variability, respectively, while dihydrodiol-ibrutinib clearance had 51% and 26% inter- and intra-individual variability, respectively. Observed ibrutinib exposure is significantly higher in patients carrying one copy of the cytochrome P450 3A4*22 variant (1167 ng.h/mL vs 743 ng.h/mL, respectively, p = 0.024). However, no covariates with a clinically relevant effect on ibrutinib or dihydrodiol-ibrutinib exposure were identified in the PK model. An external evaluation of the model was performed. Clinical outcome was expressed as the continuation or discontinuation of ibrutinib therapy 1 year after treatment initiation. Patients who had treatment discontinuation because of toxicity had significantly higher ibrutinib area under the curve (p = 0.047). No association was found between cessation of therapy due to disease progression and ibrutinib area under the curve in patients with chronic lymphocytic leukemia. For the seven patients with mantle cell lymphoma studied, an association trend was observed between disease progression and low exposure to ibrutinib.

conclusionsWe present the first population pharmacokinetic model describing ibrutinib and dihydrodiol-ibrutinib concentrations simultaneously. Large inter-individual variability and substantial intra-individual variability were estimated and could not be explained by any covariate. Higher plasma exposure to ibrutinib is associated with cessation of therapy due to the occurrence of adverse events within the first year of treatment. The association between disease progression and ibrutinib exposure in patients with mantle cell lymphoma should be further investigated.

trial registrationClinicalTrials.gov no. NCT02824159.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellAdenineAdultHumansNaphthalenesPiperidinesAdenineibrutinibNaphthalenesPiperidinestrans-1,2-dihydro-1,2-naphthalenediol

Identifiers

PMID32328976
OpenAlexW3020295988

What OpenQuestion holds

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Registered trials

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.