Evidence map›Paper›PMID 28918591›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2017

Platform model describing pharmacokinetic properties of vc-MMAE antibody-drug conjugates.

Matts Kågedal, Leonid Gibiansky, Jian Xu, Xin Wang, Divya Samineni, Shang-Chiung Chen, Dan Lu, Priya Agarwal, Bei Wang, Ola Saad and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Article
  4. A Phase I Study of DLYE5953A, an Anti-LY6E Antibody Covalently Linked to Monomethyl Auristatin E, in Patients with Refractory Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  5. Review
  6. Review
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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

15 authors at 1 institution in 1 country.

Matts KågedalClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA. kagedal.matts@gene.com.ORCID http://orcid.org/0000-0002-1261-0354
Leonid GibianskyQuantPharm LLC, 49 Flints Grove Drive, North Potomac, MD, 20878, USA.
Jian XuClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Xin WangClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Divya SamineniClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Shang-Chiung ChenClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Dan LuClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Priya AgarwalClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Bei WangClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Ola SaadBioAnalytical Sciences, Genentech Inc, South San Francisco, CA, 94080, USA.
Neelima KoppadaBioAnalytical Sciences, Genentech Inc, South San Francisco, CA, 94080, USA.
Bernard M FineClinical Sciences, Genentech Inc, South San Francisco, CA, 94080, USA.
Jin Y JinClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Sandhya GirishClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Chunze LiClinical Pharmacology, Genentech Inc, 1 DNA Way, South San Francisco, CA, 94080, USA.
Genesys (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) developed using the valine-citrulline-MMAE (vc-MMAE) platform, consist of a monoclonal antibody (mAb) covalently bound with a potent anti-mitotic toxin (MMAE) through a protease-labile vc linker. Recently, clinical data for a variety of vc-MMAE ADCs has become available. The goal of this analysis was to develop a platform model that simultaneously described antibody-conjugated MMAE (acMMAE) pharmacokinetic (PK) data from eight vc-MMAE ADCs, against different targets and tumor indications; and to assess differences and similarities of model parameters and model predictions, between different compounds. Clinical PK data of eight vc-MMAE ADCs from eight Phase I studies were pooled. A population PK platform model for the eight ADCs was developed, where the inter-compound variability (ICV) was described explicitly, using the third random effect level (ICV), and implemented using LEVEL option of NONMEM 7.3. The PK was described by a two-compartment model with time dependent clearance. Clearance and volume of distribution increased with body weight; volume was higher for males, and clearance mildly decreased with the nominal dose. Michaelis-Menten elimination had only minor effect on PK and was not included in the model. Time-dependence of clearance had no effect beyond the first dosing cycle. Clearance and central volume were similar among ADCs, with ICV of 15 and 5%, respectively. Thus, PK of acMMAE was largely comparable across different vc-MMAE ADCs. The model may be applied to predict PK-profiles of vc-MMAE ADCs under development, estimate individual exposure for the subsequent PK-pharmacodynamics (PD) analysis, and project optimal dose regimens and PK sampling times.

Indexed as

AdultAgedAged, 80 and overAntibodies, MonoclonalAntineoplastic AgentsCitrullineCohort StudiesFemaleHumansImmunoconjugatesMaleMiddle AgedModels, BiologicalNeoplasmsOligopeptidesValineAntibodies, MonoclonalAntineoplastic AgentsCitrullineImmunoconjugatesmonomethyl auristatin EOligopeptidesValineAntibody–drug conjugates (ADCs)Monoclonal antibodiesPopulation pharmacokineticsvc-MMAE ADCs

Identifiers

PMID28918591
OpenAlexW2756072159

What OpenQuestion holds

Textmetadata
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.