Evidence map›Paper›PMID 41208206›Full record

ArticleClinical and translational science2025

Predicting the Pharmacokinetics of T-Cell Engagers as a Function of Target-Mediated Drug Disposition.

Mark Penney, Alberto Ippolito, Elisa Fevola, Scott Rata, Liam Brown, Pablo Morentin Gutierrez, Rhys D O Jones

Abstract read
In one paragraph

Article in Clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Mark PenneyEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Alberto IppolitoEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Elisa FevolaEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Scott RataEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Waltham, MA, USA.
Liam BrownEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Pablo Morentin GutierrezEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Rhys D O JonesEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-Cell Engagers (TCEs) are biological multi-specific molecules designed to co-engage targets on T cells and on a target cell for destruction. Molecular formats are typically derived from IgG monoclonal antibodies or similar fusion proteins with FcRn-mediated recycling, such as albumin binders. Despite this similarity, TCEs are often observed to have much attenuated half-lives of a few days, compared to the weeks expected of IgG monoclonal antibodies; furthermore, the usual ranking of half-lives in humans being greater than those in the non-human primate (NHP) is not preserved and we demonstrate that the usual methods of PK scaling by allometry are poor predictors of human PK. The half-life of biological molecules may be reduced due to clearance from target-mediated drug disposition (TMDD). In this paper we identify how the TMDD of the TCE from interactions with both the T-cell (via CD3) and its tumor-associated antigen on the target cell determines the PK across species and present a method for the prediction of TCE PK in both the NHP and human patients. This method was tested against a selection of published TCEs and 16 of 18 TCEs' half-lives were predicted within 2-fold, compared to only 10 from 17 by allometry alone, and with a mean absolute error of 1.48 versus 2.22, respectively.

Indexed as

Antibodies, MonoclonalT-LymphocytesAnimalsHalf-LifeHumansSpecies SpecificityAntibodies, Monoclonalpharmacokinetic modelingpharmacokinetic predictionpharmacokineticstarget‐mediated drug dispositionT‐cell engagers

Identifiers

PMID41208206
PMCPMC12597969

What Socratic holds

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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.