Evidence map›Paper›PMID 31492944›Full record

ReviewNature reviews. Drug discovery2020

Translating gammadelta (γδ) T cells and their receptors into cancer cell therapies.

Zsolt Sebestyen, Immo Prinz, Julie Déchanet-Merville, Bruno Silva-Santos, Jurgen Kuball

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 288 papers.

0numbers the graph read from it
0cells of the map it votes in
288citing 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

288 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. γδ T cells and cancer.The Journal of clinical investigation · 2026
    Review
  5. γδ T cells in colorectal and liver cancer.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. γδ T cells show distinct responses to CMV after stem cell transplantation.Journal of molecular medicine (Berlin, Germany) · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

228 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

5 authors.

Zsolt SebestyenLaboratory of Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Immo PrinzInstitute of Immunology, Hannover Medical School, Hannover, Germany.
Julie Déchanet-MervilleImmunoConcept, CNRS UMR 5164, Equipe Labelisee Ligue Contre le Cancer, University of Bordeaux, Bordeaux, France.
Bruno Silva-SantosInstituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.ORCID http://orcid.org/0000-0003-4141-9302
Jurgen KuballLaboratory of Translational Immunology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands. J.H.E.Kuball@umcutrecht.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical responses to checkpoint inhibitors used for cancer immunotherapy seemingly require the presence of αβT cells that recognize tumour neoantigens, and are therefore primarily restricted to tumours with high mutational load. Approaches that could address this limitation by engineering αβT cells, such as chimeric antigen receptor T (CAR T) cells, are being investigated intensively, but these approaches have other issues, such as a scarcity of appropriate targets for CAR T cells in solid tumours. Consequently, there is renewed interest among translational researchers and commercial partners in the therapeutic use of γδT cells and their receptors. Overall, γδT cells display potent cytotoxicity, which usually does not depend on tumour-associated (neo)antigens, towards a large array of haematological and solid tumours, while preserving normal tissues. However, the precise mechanisms of tumour-specific γδT cells, as well as the mechanisms for self-recognition, remain poorly understood. In this Review, we discuss the challenges and opportunities for the clinical implementation of cancer immunotherapies based on γδT cells and their receptors.

Indexed as

Cell- and Tissue-Based TherapyHumansImmunotherapyNeoplasmsReceptors, Antigen, T-Cell, gamma-deltaT-LymphocytesReceptors, Antigen, T-Cell, gamma-delta

Identifiers

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.