Evidence map›Paper›PMID 25477886›Full record

ReviewFrontiers in immunology2014

Cancer Immunotherapy Using γδT Cells: Dealing with Diversity.

Wouter Scheper, Zsolt Sebestyen, Jürgen Kuball

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Challenges and new technologies in adoptive cell therapy.Journal of hematology & oncology · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. γ9δ2T cell diversity and the receptor interface with tumor cells.The Journal of clinical investigation · 2020
    Article
  17. Article
  18. Suppressive activity of Vδ2Cancer immunology, immunotherapy : CII · 2020
    Article
  19. Review
  20. Article
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

3 authors.

Wouter ScheperLaboratory of Translational Immunology, Department of Hematology, University Medical Center Utrecht , Utrecht , Netherlands.
Zsolt SebestyenLaboratory of Translational Immunology, Department of Hematology, University Medical Center Utrecht , Utrecht , Netherlands.
Jürgen KuballLaboratory of Translational Immunology, Department of Hematology, University Medical Center Utrecht , Utrecht , Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The broad and potent tumor-reactivity of innate-like γδT cells makes them valuable additions to current cancer immunotherapeutic concepts based on adaptive immunity, such as monoclonal antibodies and αβT cells. However, clinical success using γδT cells to treat cancer has so far fallen short. Efforts of recent years have revealed a striking diversity in γδT cell functions and immunobiology, putting these cells forward as true "swiss army knives" of immunity. At the same time, however, this heterogeneity poses new challenges to the design of γδT cell-based therapeutic concepts and could explain their rather limited clinical efficacy in cancer patients. This review outlines the recent new insights into the different levels of γδT cell diversity, including the myriad of γδT cell-mediated immune functions, the diversity of specificities and affinities within the γδT cell repertoire, and the multitude of complex molecular requirements for γδT cell activation. A careful consideration of the diversity of antibodies and αβT cells has delivered great progress to their clinical success; addressing also the extraordinary diversity in γδT cells will therefore hold the key to more effective immunotherapeutic strategies with γδT cells as additional and valuable tools to battle cancer.

Indexed as

cancer immunotherapyinnate-like lymphocytesγδT cell diversityγδT cellsγδTCR

Identifiers

PMID25477886
PMCPMC4238375

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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 OpenQuestion graph.