Evidence map›Paper›PMID 41674973›Full record

ReviewTranslational cancer research2026

Therapeutic application of IL-12 for cancer therapy.

Zhiqing Qi, John Maher

Abstract readReview
In one paragraph

Review in Translational cancer research, 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

2 authors.

Zhiqing QiKing's College London, Department of Precision and Population Oncology, School of Cancer and Pharmaceutical Sciences, Guy's Hospital, London, UK.ORCID https://orcid.org/0009-0003-7616-5039
John MaherKing's College London, Department of Precision and Population Oncology, School of Cancer and Pharmaceutical Sciences, Guy's Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-12 (IL-12) is a pleiotropic pro-inflammatory cytokine with potent antitumour activity and has been extensively explored as a candidate for cancer immunotherapy. However, its clinical development has been severely limited by the substantial systemic toxicities observed following systemic administration of recombinant IL-12. Nevertheless, the capacity of IL-12 to remodel the immunosuppressive tumour microenvironment (TME) by enhancing immune effector cell activation, proliferation, and infiltration, as well as by shifting suppressive immune cells toward a proinflammatory phenotype, underscores the need to engineer safe delivery strategies that confine cytokine activity to the tumour site. Herein, this review provides a broad and updated overview of diverse strategies for targeted IL-12 delivery to tumours. Specifically, we focus on immunocytokines, adoptive T-cell therapies, and biodegradable polymeric microspheres, while also briefly touching on protein-engineering and nanotechnology-based approaches. By reviewing their modes of action and comparing their benefits and challenges, we illustrate how modern engineering approaches have the potential to overcome the historical barriers to IL-12 therapy while preserving its potent and pleiotropic antitumour functions. Although numerous IL-12-based platforms have recently emerged, an integrative framework that connects advances across diverse engineering modalities has been lacking. Finally, we consider how combination strategies incorporating multiple therapeutic components may enable the safe deployment of IL-12 while fully realising its antitumour potential.

Indexed as

adoptive cell therapy (ACT)IL-12-based cancer immunotherapyimmunocytokinesInterleukin-12 (IL-12)

Identifiers

PMID41674973
PMCPMC12885883

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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.