Evidence map›Paper›PMID 40236329›Full record

ReviewImmuno-oncology technology2025

Solid tumour cellular therapy - principles of toxicity management.

M Julve, Y N S Wong, K H J Lim, A J S Furness

Abstract readReview
In one paragraph

Review in Immuno-oncology technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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  8. Leveraging T cells for cancer immunotherapy.Immunity & inflammation · 2025
    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

4 authors.

M JulveDepartment of Medical Oncology, The Royal Marsden NHS Foundation Trust, London, UK.
Y N S WongDivision of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
K H J LimDivision of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
A J S FurnessDepartment of Medical Oncology, The Royal Marsden NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the Food and Drug Administration (FDA) approval of lifileucel and afami-cel for patients with advanced melanoma and synovial sarcoma, respectively, there is a need for improved understanding and guidance regarding the management of toxicity associated with adoptive cellular therapies (ACTs) for solid tumours. Further approvals are expected in coming years, with toxicity management representing a significant consideration for centres looking to implement such advanced therapy medicinal products. Importantly, first-generation tumour-infiltrating lymphocyte therapies are associated with unique toxicities compared with gene-modified T-cell therapies such as chimeric antigen receptor T-cell therapy (CAR T) and T-cell receptor-modified therapy (TCR T), presenting novel challenges for treating healthcare professionals. Extrapolating from experience with CAR T in the field of haemato-oncology, coupled with the historical use of high-dose interleukin-2 in solid tumour therapeutic regimens and more recently lifileucel and afami-cel, has led to the development of core principles for managing toxicity, which is discussed here. Looking to the future, a rapidly developing field with next-generation ACT products, a basic knowledge of such core principles will be an important foundation for healthcare professionals working in this space.

Indexed as

chimeric antigen receptor T-cell therapycytokine release syndromeimmune-related adverse eventsT-cell receptor-modified T-cell therapytumour-infiltrating lymphocyte therapy

Identifiers

PMID40236329
PMCPMC11997557

What OpenQuestion holds

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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.