Evidence map›Paper›PMID 42629461›Full record

ReviewNature cancer2026

Rewiring immunity with in vivo CAR T cell engineering.

Clare Y Slaney, Rachel Xu, Shiyi Wu, Kevin Sek, Colin W Pouton, Michael Dickinson, Michael H Kershaw, Phillip K Darcy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Clare Y SlaneyCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia. clare.slaney@petermac.org.ORCID http://orcid.org/0000-0002-6986-6115
Rachel XuCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Shiyi WuCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Kevin SekCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-4634-7600
Colin W PoutonMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-0224-3308
Michael DickinsonSir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0002-1492-5966
Michael H KershawCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Phillip K DarcyCancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, Victoria, Australia. phil.darcy@petermac.org.ORCID http://orcid.org/0000-0002-5303-9561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ex vivo engineered chimeric antigen receptor (CAR) T cell therapy has transformed the treatment of certain hematologic malignancies, yet manufacturing complexities and limited patient accessibility constrain its impact. In vivo CAR T cell engineering seeks to overcome these limitations by generating CAR T cells directly within an individual. This Perspective examines the rapidly evolving field of in vivo CAR T cell generation in oncology, outlines principles of lymphocyte targeting, discusses pharmacology and biodistribution and assesses emerging safety issues. We conclude with a translational outlook, highlighting both the opportunities and the outstanding questions that will define the path to clinical implementation.

Indexed as

Cell EngineeringImmunotherapy, AdoptiveNeoplasmsReceptors, Antigen, T-CellReceptors, Chimeric AntigenT-LymphocytesAnimalsHumansReceptors, Antigen, T-CellReceptors, Chimeric Antigen

Identifiers

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.