Evidence map›Paper›PMID 37821656›Full record

ReviewNature reviews. Cancer2023

Stem-like exhausted and memory CD8

Thomas Gebhardt, Simone L Park, Ian A Parish

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed
39.8field-weighted citation impact, top 1% 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

142 citing papers in PubMed, 174 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Spatiotemporal CD8Cancer science · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Decoding T cell exhaustion in the tumour microenvironment.Experimental & molecular medicine · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Macrophage Extracellular Traps in Immunity and Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  17. Article
  18. DADA Enhances CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  19. Article
  20. Article

82 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

3 authors at 2 institutions in 2 countries.

Thomas GebhardtDepartment of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia. gebhardt@unimelb.edu.au.ORCID 0000-0002-3768-9468
Simone L ParkDepartment of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia.
Ian A ParishCancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Ian.Parish@petermac.org.ORCID 0000-0003-3528-478X
The University of Melbourne · AUAustralian National University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cells can acquire a broad spectrum of differentiation states following activation. At the extreme ends of this continuum are short-lived cells equipped with effector machinery and more quiescent, long-lived cells with heightened proliferative potential and stem cell-like developmental plasticity. The latter encompass stem-like exhausted T cells and memory T cells, both of which have recently emerged as key determinants of cancer immunity and response to immunotherapy. Here, we discuss key similarities and differences in the regulation and function of stem-like exhausted CD8

Indexed as

CD8-Positive T-LymphocytesNeoplasmsCell DifferentiationHumansMemory T CellsStem Cells

Identifiers

PMID37821656
OpenAlexW4387530591

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.