Evidence map›Paper›PMID 29587679›Full record

ArticleBMC cancer2018

Activated innate lymphoid cell populations accumulate in human tumour tissues.

Maryam Salimi, Ruozheng Wang, Xuan Yao, Xi Li, Xiyan Wang, Yuhui Hu, Xumei Chang, Peiwen Fan, Tao Dong, Graham Ogg

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. ILC2s and their immune checkpoints in the antitumor response.Journal for immunotherapy of cancer · 2026
    Review
  6. IDH1 Mutant Glioma Favors Group 3 Innate Lymphoid Cells and Is Resistant to Immune Checkpoint Expression.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Intestinal CXCR6Immunity · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Review

14 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

10 authors at 3 institutions in 2 countries.

Maryam SalimiMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Ruozheng WangAffiliated Tumor Hospital of Xinjiang Medical University, Ürümqi, China.
Xuan YaoMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Xi LiMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Xiyan WangAffiliated Tumor Hospital of Xinjiang Medical University, Ürümqi, China.
Yuhui HuAffiliated Tumor Hospital of Xinjiang Medical University, Ürümqi, China.
Xumei ChangAffiliated Tumor Hospital of Xinjiang Medical University, Ürümqi, China.
Peiwen FanAffiliated Tumor Hospital of Xinjiang Medical University, Ürümqi, China.
Tao DongMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Graham OggMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK. graham.ogg@ndm.ox.ac.uk.ORCID 0000-0002-3097-045X
Xinjiang Medical University · CNUniversity of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Medical Research Council CFR00620/CF00.G1Medical Research Council G0701693Medical Research Council G116/150Medical Research Council MC_U137881017Medical Research Council MC_UU_00008/5Medical Research Council MC_UU_12010/5Nature Science Foundation U1603282
6 · The paper itself

Abstract

backgroundInnate lymphoid cells (ILC) are part of a heterogeneous family of haematopoietic effector cells which lack re-arranged antigen-specific receptors. They promote host defense and contribute to tissue and metabolic homeostasis, wound healing and immune surveillance. Their role in human cancer immunity is less defined, and therefore we aimed to identify the frequency and phenotype of distinct ILC groups in various types of cancer.

methodsTissue samples and peripheral blood were collected from patients undergoing surgical resection of gastrointestinal and breast tumours. Single cell suspension of tumour tissue was immediately obtained following surgery using tumour dissociation.

resultsWe observed significantly higher frequencies of ILC2 (p value: 0.04) in malignant breast cancer tissue and significantly higher frequencies of group 1 ILC (p value: 0.001) in malignant gastrointestinal tumours. Tumour infiltrating ILC were found to show an activated phenotype with higher expression of MHC-II, KLRG1, early activation marker CD69 and CD44.

conclusionsActivated innate lymphoid cells infiltrate tumours dependent on tumour type and location.

Indexed as

Immunity, InnateBiomarkersBreast NeoplasmsCTLA-4 AntigenFemaleHumansImmunophenotypingKiller Cells, NaturalLymphocyte ActivationLymphocytes, Tumor-InfiltratingLymphocyte SubsetsMaleNeoplasmsProgrammed Cell Death 1 ReceptorBiomarkersCTLA-4 AntigenPDCD1 protein, humanProgrammed Cell Death 1 ReceptorBreast cancerGastrointestinal cancerImmune checkpointInnate lymphoid cells

Identifiers

PMID29587679
PMCPMC5870240
OpenAlexW2799804231

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.