Evidence map›Paper›PMID 38771074›Full record

ArticleCPT: pharmacometrics & systems pharmacology2024

Population pharmacokinetics of imetelstat, a first-in-class oligonucleotide telomerase inhibitor.

Mario González-Sales, Ashley L Lennox, Fei Huang, Chandra Pamulapati, Ying Wan, Libo Sun, Tymara Berry, Melissa Kelly Behrs, Faye Feller, Peter N Morcos

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
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.

Mario González-SalesModeling Great Solutions Pharmaceutical Research & Studies, FZE, Dubai, United Arab Emirates.
Ashley L LennoxGeron Corporation, Parsippany, New Jersey, USA.
Fei HuangGeron Corporation, Parsippany, New Jersey, USA.
Chandra PamulapatiGeron Corporation, Parsippany, New Jersey, USA.
Ying WanGeron Corporation, Parsippany, New Jersey, USA.
Libo SunGeron Corporation, Parsippany, New Jersey, USA.
Tymara BerryGeron Corporation, Parsippany, New Jersey, USA.
Melissa Kelly BehrsGeron Corporation, Parsippany, New Jersey, USA.
Faye FellerGeron Corporation, Parsippany, New Jersey, USA.
Peter N MorcosMorcos Pharmaceutical Consulting, LLC, Marlboro, New Jersey, USA.

Funding

Geron Corporation
6 · The paper itself

Abstract

Imetelstat is a novel, first-in-class, oligonucleotide telomerase inhibitor in development for the treatment of hematologic malignancies including lower-risk myelodysplastic syndromes and myelofibrosis. A nonlinear mixed-effects model was developed to characterize the population pharmacokinetics of imetelstat and identify and quantify covariates that contribute to its pharmacokinetic variability. The model was developed using plasma concentrations from 7 clinical studies including 424 patients with solid tumors or hematologic malignancies who received single-agent imetelstat via intravenous infusion at various dose levels (0.4-11.7 mg/kg) and schedules (every week to every 4 weeks). Covariate analysis included factors related to demographics, disease, laboratory results, renal and hepatic function, and antidrug antibodies. Imetelstat was described by a two-compartment, nonlinear disposition model with saturable binding/distribution and dose- and time-dependent elimination from the central compartment. Theory-based allometric scaling for body weight was included in disposition parameters. The final covariates included sex, time, malignancy, and dose on clearance; malignancy and sex on volume of the central compartment; and malignancy and spleen volume on concentration of target. Clearance in females was modestly lower, resulting in nonclinically relevant increases in predicted exposure relative to males. No effects on imetelstat pharmacokinetics were identified for mild-to-moderate hepatic or renal impairment, age, race, and antidrug antibody status. All model parameters were estimated with adequate precision (relative standard error < 29%). Visual predictive checks confirmed the capacity of the model to describe the data. The analysis supports the imetelstat body-weight-based dosing approach and lack of need for dose individualizations for imetelstat-treated patients.

Indexed as

OligonucleotidesTelomeraseAdultAgedAged, 80 and overDose-Response Relationship, DrugEnzyme InhibitorsFemaleHematologic NeoplasmsHumansMaleMiddle AgedModels, BiologicalNeoplasmsYoung AdultEnzyme InhibitorsimetelstatOligonucleotidesTelomerase

Identifiers

PMID38771074
PMCPMC11247122

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.