Evidence map›Paper›PMID 41034337›Full record

ReviewNature reviews. Immunology2026

Regulators of CD8

Qinli Sun, Chen Dong

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

59 citing papers in PubMed.

  1. Article
  2. Review
  3. ApolipoproteinEiScience · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. FOXP1 Knockdown Reprograms Th9 CAR-T Cells to Overcome Antigen Escape.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Single-Cell Pan-Cancer Atlas Reveals GPR171 as a Candidate Marker of CD8International journal of molecular sciences · 2026
    Article
  16. Adaptive resistance in cancer immunotherapy.Cellular & molecular immunology · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

2 authors.

Qinli SunInstitute for Immunology and School of Medicine, Tsinghua University, Beijing, China.
Chen DongWestlake University School of Medicine-affiliated Hangzhou First Hospital, Hangzhou, China. dongchen@westlake.edu.cn.ORCID http://orcid.org/0000-0002-0084-9130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cell exhaustion is an adaptive and distinct cell fate that emerges in response to persistent antigen stimulation, primarily in chronic infections and cancer. It is characterized by a progressive loss of effector functions and sustained expression of multiple inhibitory receptors. Progression to T cell exhaustion is driven by persistent antigen stimulation through the T cell receptor and is modulated by signals from co-stimulatory and inhibitory molecules as well as by microenvironmental factors such as cytokines, metabolites and neuronal factors. These extrinsic cellular factors reshape the T cell transcriptome, epigenome and metabolism towards a state of exhaustion through critical intrinsic cell regulators. In this Review, we summarize our current understanding of the regulators involved in T cell exhaustion, highlighting their roles in directing the fates and functionalities of distinct exhausted T cell subsets and how they may be harnessed for the development of improved immunotherapies against cancer and chronic infections.

Indexed as

CD8-Positive T-LymphocytesAnimalsCytokinesHumansImmunotherapyLymphocyte ActivationNeoplasmsReceptors, Antigen, T-CellT-Cell ExhaustionCytokinesReceptors, Antigen, T-Cell

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.