Evidence map›Paper›PMID 35228695›Full record

ReviewNature immunology2022

Innate lymphoid cells and cancer.

Nicolas Jacquelot, Cyril Seillet, Eric Vivier, Gabrielle T Belz

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 1 pooled it
13.5field-weighted citation impact, top 1% of its field
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

119 citing papers in PubMed, 1 synthesis or guideline pooled it, 168 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. Article
  8. Review
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  12. NKG2A inhibition promotes NK cell-CD8Nature communications · 2026
    Article
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59 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Nicolas JacquelotPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0282-1892
Cyril SeilletWalter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-0941-8679
Eric VivierInnate Pharma, Marseille, France.ORCID http://orcid.org/0000-0001-7022-8287
Gabrielle T BelzThe University of Queensland Diamantina Institute, Woolloongabba, Brisbane, Queensland, Australia. g.belz@uq.edu.au.ORCID http://orcid.org/0000-0002-9660-9587
Centre National de la Recherche Scientifique · FRThe University of Melbourne · AUThe University of Queensland · AUUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The innate lymphoid cell (ILC) family is composed of natural killer (NK) cells, ILC1, ILC2 and ILC3, which participate in immune responses to virus, bacteria, parasites and transformed cells. ILC1, ILC2 and ILC3 subsets are mostly tissue-resident, and are profoundly imprinted by their organ of residence. They exhibit pleiotropic effects, driving seemingly paradoxical responses such as tissue repair and, alternatively, immunopathology toward allergens and promotion of tumorigenesis. Despite this, a trickle of studies now suggests that non-NK ILCs may not be overwhelmingly tumorigenic and could potentially be harnessed to drive anti-tumor responses. Here, we examine the pleiotropic behavior of ILCs in cancer and begin to unravel the gap in our knowledge that exposes a new horizon for thinking about modifying ILCs and targeting them for immunotherapy.

Indexed as

Immunity, InnateNeoplasmsHumansImmunotherapyKiller Cells, NaturalLymphocytes

Identifiers

PMID35228695
OpenAlexW4214778119

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.