Evidence map›Paper›PMID 32607875›Full record

ArticleClinical pharmacokinetics2021

Population Pharmacokinetic and Pharmacogenetic Analysis of Mitotane in Patients with Adrenocortical Carcinoma: Towards Individualized Dosing.

Anyue Yin, Madeleine H T Ettaieb, Jesse J Swen, Liselotte van Deun, Thomas M A Kerkhofs, Robert J H M van der Straaten, Eleonora P M Corssmit, Hans Gelderblom, Michiel N Kerstens, Richard A Feelders and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacokinetics, 2021. 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
1.6field-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.

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, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. The Challenging Pharmacokinetics of Mitotane: An Old Drug in Need of New Packaging.European journal of drug metabolism and pharmacokinetics · 2021
    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

17 authors at 7 institutions in 2 countries.

Anyue Yin *Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID 0000-0001-9924-6040
Madeleine H T Ettaieb *Division of Endocrinology, Department of Internal Medicine, Máxima Medical Center, Eindhoven/Veldhoven, The Netherlands.ORCID 0000-0003-2577-4187
Jesse J SwenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Liselotte van DeunDivision of Endocrinology, Department of Internal Medicine, Máxima Medical Center, Eindhoven/Veldhoven, The Netherlands.
Thomas M A KerkhofsDivision of Medical Oncology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Robert J H M van der StraatenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Eleonora P M CorssmitDivision of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Hans GelderblomDepartment of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.
Michiel N KerstensDepartment of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Richard A FeeldersDivision of Endocrinology, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Marelise EekhoffDivision of Endocrinology, Department of Internal Medicine, Amsterdam University Medical Center, Location VUmc, Amsterdam, The Netherlands.
Henri J L M TimmersDivision of Endocrinology, Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Antonio D'AvolioDepartment of Medical Sciences, Unit of Infectious Diseases, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Jessica CusatoDepartment of Medical Sciences, Unit of Infectious Diseases, Amedeo di Savoia Hospital, University of Turin, Turin, Italy.
Henk-Jan GuchelaarDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Harm R HaakDivision of Endocrinology, Department of Internal Medicine, Máxima Medical Center, Eindhoven/Veldhoven, The Netherlands.
Dirk Jan A R MoesDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. D.J.A.R.Moes@lumc.nl.ORCID 0000-0003-3219-253X
Leiden University Medical Center · NLRadboud University Nijmegen · NLOspedale Amedeo di Savoia · ITAmsterdam University Medical Centers · NLErasmus MC · NLMaastricht University · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitotane is the only approved treatment for patients with adrenocortical carcinoma (ACC). A better explanation for the variability in the pharmacokinetics (PK) of mitotane, and the optimization and individualization of mitotane treatment, is desirable for patients.

objectivesThis study aims to develop a population PK (PopPK) model to characterize and predict the PK profiles of mitotane in patients with ACC, as well as to explore the effect of genetic variation on mitotane clearance. Ultimately, we aimed to facilitate mitotane dose optimization and individualization for patients with ACC.

methodsMitotane concentration and dosing data were collected retrospectively from the medical records of patients with ACC taking mitotane orally and participating in the Dutch Adrenal Network. PopPK modelling analysis was performed using NONMEM (version 7.4.1). Genotypes of drug enzymes and transporters, patient demographic information, and clinical characteristics were investigated as covariates. Subsequently, simulations were performed for optimizing treatment regimens.

resultsA two-compartment model with first-order absorption and elimination best described the PK data of mitotane collected from 48 patients. Lean body weight (LBW) and genotypes of CYP2C19*2 (rs4244285), SLCO1B3 699A>G (rs7311358) and SLCO1B1 571T>C (rs4149057) were found to significantly affect mitotane clearance (CL/F), which decreased the coefficient of variation (CV%) of the random inter-individual variability of CL/F from 67.0 to 43.0%. Fat amount (i.e. body weight - LBW) was found to significantly affect the central distribution volume. Simulation results indicated that determining the starting dose using the developed model is beneficial in terms of shortening the period to reach the therapeutic target and limit the risk of toxicity. A regimen that can effectively maintain mitotane concentration within 14-20 mg/L was established.

conclusionsA two-compartment PopPK model well-characterized mitotane PK profiles in patients with ACC. The CYP2C19 enzyme and SLCO1B1 and SLCO1B3 transporters may play roles in mitotane disposition. The developed model is beneficial in terms of optimizing mitotane treatment schedules and individualizing the initial dose for patients with ACC. Further validation of these findings is still required.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaMitotaneAntineoplastic Agents, HormonalHumansLiver-Specific Organic Anion Transporter 1Pharmacogenomic TestingPrecision MedicineRetrospective StudiesAntineoplastic Agents, HormonalLiver-Specific Organic Anion Transporter 1MitotaneSLCO1B1 protein, human

Identifiers

PMID32607875
PMCPMC7809008
OpenAlexW3039240990

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.