Evidence map›Paper›PMID 30661177›Full record

Trial reportJournal of pharmacokinetics and pharmacodynamics2019

Population pharmacokinetic analysis of danvatirsen supporting flat dosing switch.

Hongmei Xu, Xiao Tong, Ganesh Mugundu, Martin L Scott, Carl Cook, Cecilia Arfvidsson, Elizabeth Pease, Diansong Zhou, Paul Lyne, Nidal Al-Huniti

Registry-linked trialAbstract readClinical Trial, Phase IClinical Trial, Phase II
PubMed Publisher
In one paragraph

Trial report in Journal of pharmacokinetics and pharmacodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03421353 (A Phase Ib/II, Open-Label, Multicentre Study to Assess Safety, Tolerability, Pharmacokinetics and Preliminary Anti-tumour Activity of AZD9150 Plus Durvalumab Alone or in Combination With Chemotherapy in Patients With Advanced, Solid Tumours and Subsequently in Patients With Non-Small-Cell Lung Cancer), which is not on this 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.

NCT03421353 phase1completednot on this map

A Phase Ib/II, Open-Label, Multicentre Study to Assess Safety, Tolerability, Pharmacokinetics and Preliminary Anti-tumour Activity of AZD9150 Plus Durvalumab Alone or in Combination With Chemotherapy in Patients With Advanced, Solid Tumours and Subsequently in Patients With Non-Small-Cell Lung Cancer

TypeinterventionalSponsorAstraZenecaRan2018 to 2024Enrolled76ConditionsAdvanced Solid TumoursArmsAZD9150, Durvalumab, Cisplatin, 5-Flourouracil, Carboplatin
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Advances in antisense oligonucleotide treatment for cancer.Japanese journal of clinical oncology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Recent Advances in Oligonucleotide Therapeutics in Oncology.International journal of molecular sciences · 2021
    Review
  9. Review
  10. RSC advances · 2020
    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

10 authors.

Hongmei XuQuantitative Clinical Pharmacology, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Boston, MA, USA.
Xiao TongQuantitative Clinical Pharmacology, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Boston, MA, USA.
Ganesh MugunduQuantitative Clinical Pharmacology, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Boston, MA, USA. Ganesh.Mugundu@astrazeneca.com.
Martin L ScottOncology, IMED Biotech Unit, AstraZeneca, Boston, USA.
Carl CookOncology, IMED Biotech Unit, AstraZeneca, Boston, USA.
Cecilia ArfvidssonClinical Sample and Bioanalytical Science, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden.
Elizabeth PeaseOncology, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
Diansong ZhouQuantitative Clinical Pharmacology, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Boston, MA, USA.
Paul LyneOncology, IMED Biotech Unit, AstraZeneca, Boston, USA.
Nidal Al-HunitiQuantitative Clinical Pharmacology, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Danvatirsen is a Generation 2.5 antisense oligonucleotide under clinical development. Population PK modelling was conducted using data from 3 available danvatirsen Phase I/II studies in oncology patients to investigate the impact of flat dosing on exposure compared to ideal body weight-based dosing. A total of 126 patients who received danvatirsen doses ranging from 1 to 4 mg/kg as monotherapy or in combination with durvalumab, most at 3 mg/kg (n = 70), was used in the danvatirsen population PK analysis. A 2-compartment model with linear elimination described the data well. Covariate analysis revealed ideal body weight was not a significant covariate on the PK of danvatirsen; nor was age, sex or race. The model-based simulation suggested that steady state weekly AUC and Cmax were very similar between 3 mg/kg and 200 mg flat dosing (geometric mean of AUC: 62.5 vs. 63.4 mg h/L and Cmax: 26.2 vs. 26.5 mg/L for two dose groups) with slightly less overall between-subject variability in the flat dosing regimen. The switch to flat dosing was approved by multiple regulatory agencies, including FDA, EMA, PMDA and ANSM. Several ongoing studies have been evaluating flat dosing. Interim analysis from an ongoing study (D5660C00016, NCT03421353) has shown the observed steady state concentration from 200 mg flat dose is in agreement with the model predictions. The population PK model could be further utilized in subsequent exposure-response efficacy and safety modelling.

Indexed as

AdultAgedAged, 80 and overAntibodies, MonoclonalBody WeightComputer SimulationDose-Response Relationship, DrugFemaleHumansMaleMetabolic Clearance RateMiddle AgedModels, BiologicalNeoplasmsOligonucleotidesOligonucleotides, AntisenseAntibodies, MonoclonaldanvatirsendurvalumabOligonucleotidesOligonucleotides, AntisenseDosing strategyOncologyPopulation PK

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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.