Evidence map›Paper›PMID 42045541›Full record

ReviewBritish journal of cancer2026

Advances in cancer immunotherapy: adoptive cell therapy and immune cell engagers in solid tumours.

Justin Panasci, Changsu Lawrence Park, Ben Tran, Lillian L Siu

Abstract readReview
In one paragraph

Review in British journal of 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. 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

4 authors.

Justin Panasci *Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0009-0003-1942-3572
Changsu Lawrence Park *Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Ben TranDepartment of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-9124-354X
Lillian L SiuDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. lillian.siu@uhn.ca.ORCID http://orcid.org/0000-0002-3500-0540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoptive cell therapies (ACT) and immune cell engagers (ICE) redirect or potentiate immune effector function against immune-tolerated antigens expressed on malignant cells, representing a distinct class of engineered immunotherapies beyond immune checkpoint blockade. These strategies have been particularly successful in hematologic malignancies; however, translation to solid tumours has been constrained by antigen heterogeneity, limited immune cell trafficking and persistence, an immunosuppressive tumour microenvironment, and on-target off-tumour toxicity. Despite these barriers, accumulating data and clinical experience with these therapies in solid tumours demonstrate feasibility, scalability, safety, and meaningful clinical activity. In light of recent regulatory approvals of ACT and ICE in solid tumours, we aim to provide a comprehensive clinician-oriented overview of these evolving therapeutic platforms. Herein, we review principles of antigen selection, mechanisms underlying investigational ACT and ICE, current barriers to clinical translation in solid tumours, strategies to overcome these limitations, and future prospects for immune-redirecting drug development in solid tumours.

Indexed as

ImmunotherapyImmunotherapy, AdoptiveNeoplasmsAnimalsAntigens, NeoplasmHumansTumor MicroenvironmentAntigens, Neoplasm

Identifiers

PMID42045541
PMCPMC13270013

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Registered trials

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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.