Evidence map›Paper›PMID 38007241›Full record

ReviewJournal for immunotherapy of cancer2023

Therapeutic avenues for γδ T cells in cancer.

Gonçalo Palrão Costa, Sofia Mensurado, Bruno Silva-Santos

Open access · goldAbstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Harnessing Vδ1Frontiers in immunology · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
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  18. Article
  19. Article
  20. A pan-cancer gamma delta T cell repertoire.bioRxiv : the preprint server for biology · 2024
    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 at 1 institution in 1 country.

Gonçalo Palrão CostaFaculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Sofia Mensurado *Instituto de Medicina Molecular João Lobo Antunes, Faculade de Medicina, Universidade de Lisboa, Lisbon, Portugal sofiamensurado@medicina.ulisboa.pt bssantos@medicina.ulisboa.pt.
Bruno Silva-Santos *Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal sofiamensurado@medicina.ulisboa.pt bssantos@medicina.ulisboa.pt.ORCID 0000-0003-4141-9302
University of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

γδ T cells are regarded as promising effector lymphocytes for next-generation cancer immunotherapies. In spite of being relatively rare in human peripheral blood, γδ T cells are more abundant in epithelial tissues where many tumors develop, and have been shown to actively participate in anticancer immunity as cytotoxic cells or as "type 1" immune orchestrators. A major asset of γδ T cells for tackling advanced cancers is their independence from antigen presentation via the major histocompatibility complex, which clearly sets them apart from conventional αβ T cells. Here we discuss the main therapeutic strategies based on human γδ T cells. These include antibody-based bispecific engagers and adoptive cell therapies, either focused on the Vδ1

Indexed as

Hematologic NeoplasmsIntraepithelial LymphocytesNeoplasmsHumansReceptors, Antigen, T-Cell, gamma-deltaT-Lymphocyte SubsetsReceptors, Antigen, T-Cell, gamma-deltaImmunotherapy, ActiveImmunotherapy, AdoptiveT-Lymphocytes

Identifiers

PMID38007241
PMCPMC10680012
OpenAlexW4389001352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.