Evidence map›Paper›PMID 31624593›Full record

ReviewClinical & translational immunology2019

γδ T cells in cancer: a small population of lymphocytes with big implications.

Mathilde Raverdeau, Stephen P Cunningham, Cathal Harmon, Lydia Lynch

Open access · goldAbstract readReview
In one paragraph

Review in Clinical & translational immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

62 citing papers in PubMed, 82 citations in OpenAlex.

  1. Cancer viroimmunotherapy platforms based on varicella-zoster virus and cytomegalovirus.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Harnessing Vδ1Frontiers in immunology · 2026
    Review
  6. Article
  7. Immune Response Activation and Hepatoprotective Activity ofInternational journal of food science · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. γδ T cell antigen receptor polyspecificity enables T cell responses to a broad range of immune challenges.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

2 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 2 institutions in 2 countries.

Mathilde RaverdeauSchool of Biochemistry and Immunology Trinity College Dublin Dublin Ireland.ORCID https://orcid.org/0000-0002-6088-6902
Stephen P CunninghamSchool of Biochemistry and Immunology Trinity College Dublin Dublin Ireland.
Cathal HarmonHarvard Medical School Boston MA USA.
Lydia LynchSchool of Biochemistry and Immunology Trinity College Dublin Dublin Ireland.
Brigham and Women's Hospital · USTrinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

γδ T cells are a small population of mostly tissue-resident lymphocytes, with both innate and adaptive properties. These unique features make them particularly attractive candidates for the development of new cellular therapy targeted against tumor development. Nevertheless, γδ T cells may play dual roles in cancer, promoting cancer development on the one hand, while participating in antitumor immunity on the other hand. In mice, γδ T-cell subsets preferentially produce IL-17 or IFN-γ. While antitumor functions of murine γδ T cells can be attributed to IFN-γ

Indexed as

antitumor immunityCAR T‐cellsDOT cellsimmunotherapytumor progressionγδ T cells

Identifiers

PMID31624593
PMCPMC6787154
OpenAlexW2979394664

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.