Evidence mapPaperPMID 41814366Full record

ReviewMolecular cancer2026

Transcriptional networks weaving natural killer anti-tumor immune response.

Anna Rita Redavid, Martina Bigliardi, Alessia Ciarrocchi, Francesca Reggiani

Abstract readReview
In one paragraph

Review in Molecular cancer, 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

4 authors.

Anna Rita RedavidTranslational Research Laboratory, Azienda USL-IRCCS di Reggio Emilia, Viale Risorgimento 80, Reggio Emilia, 42123, Italy.
Martina BigliardiTranslational Research Laboratory, Azienda USL-IRCCS di Reggio Emilia, Viale Risorgimento 80, Reggio Emilia, 42123, Italy.
Alessia CiarrocchiTranslational Research Laboratory, Azienda USL-IRCCS di Reggio Emilia, Viale Risorgimento 80, Reggio Emilia, 42123, Italy.
Francesca ReggianiTranslational Research Laboratory, Azienda USL-IRCCS di Reggio Emilia, Viale Risorgimento 80, Reggio Emilia, 42123, Italy. francesca.reggiani2@ausl.re.it.

Funding

Fondazione AIRC per la ricerca sul cancro ETS 28960Ministero della Salute Ricerca Corrente Annual Program 2027
6 · The paper itself

Abstract

backgroundNatural killer cells (NKs) are critical effectors of innate immune surveillance, capable of eliminating target cells without prior antigen sensitization. The crucial role of NKs in cancer immunity has largely been highlighted in both hematological and solid tumors. Besides, NK-based cell therapies have gained momentum as a compelling alternative to T cell-based approaches, due to their off-the-shelf availability and lower risk of toxicity. Still, the intrinsic molecular mechanisms driving NK anti-tumor efficacy in different tumor contexts are poorly described, drastically impairing their clinical exploitation.

aimsThis review aims to provide a comprehensive overview of the transcriptional networks defining each step of NK anti-tumor response, from tissue recruitment to target recognition and cytotoxic activation. The molecular mechanisms triggering NK dysfunction in the tumor microenvironment are also highlighted from a transcriptional perspective. The described time- and context-dependent transcriptional machinery is characterized by a constant interplay between activators and repressors, which integrates and balances signals deriving from the surrounding tumor ecosystem.

conclusionsConsidering the relevance of transcription factors in controlling NK functions, their potential exploitation as novel therapeutic targets, through either pharmacological approaches or genome editing, is a new opportunity for cancer treatment.

Indexed as

Gene Regulatory NetworksKiller Cells, NaturalNeoplasmsAnimalsGene Expression Regulation, NeoplasticHumansImmunotherapyTumor MicroenvironmentImmunotherapyNatural killerTranscription factorTumor ecosystem

Identifiers

PMID41814366
PMCPMC13088450

What Socratic 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 Socratic graph.