Evidence map›Paper›PMID 42729476›Full record

ReviewComputational and structural biotechnology journal2026

An Overview on T-Cell Engagers: The Current Position in Both the Biological and Mathematical Context.

Jonathan Davies, Liam V Brown, Mark W Jones, Mark Penney, Gibin Powathil

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jonathan DaviesDepartment of Mathematics, Swansea University, Swansea, UK.ORCID https://orcid.org/0009-0000-9272-7730
Liam V BrownEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.ORCID https://orcid.org/0000-0001-9870-8418
Mark W JonesDepartment of Computer Science, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0001-8991-1190
Mark PenneyEarly Oncology DMPK, Oncology Targeted Discovery, AstraZeneca, Cambridge, UK.
Gibin PowathilDepartment of Mathematics, Swansea University, Swansea, UK.ORCID https://orcid.org/0000-0002-8372-7349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cell engagers (TCEs) are immunotherapeutic drugs that are gaining interest and momentum in oncology, and since 2022, they have been increasingly approved for clinical use. However, there are still many issues and unknowns relating to their pharmacokinetics, efficacy, and adverse side effects. Mathematical models are in the perfect position to improve understanding of these key issues, expand on, and optimize currently approved TCEs. This paper will review the relevant biology behind TCEs, such as the mechanisms behind the antitumor response, the molecular biology of TCE construction, and their use in clinical settings. Then, the review will move to discuss TCE mathematical modeling, key methods, and conclusions to date.

Identifiers

PMID42729476
PMCPMC13562800

What OpenQuestion 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 OpenQuestion graph.