Evidence map›Paper›PMID 28866656›Full record

ArticleJournal of biomedical research2018

Immune checkpoint inhibitors in cancer therapy.

Eika S Webb, Peng Liu, Renato Baleeiro, Nicholas R Lemoine, Ming Yuan, Yao-He Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 149 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. A Human Tumor-Immune Organoid Model of Glioblastoma.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

25 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

6 authors at 1 institution in 2 countries.

Eika S WebbCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Peng LiuCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Renato BaleeiroCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Nicholas R LemoineCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Ming YuanCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Yao-He WangCenter for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK.
Queen Mary University of London · GB

Funding

Medical Research Council MR/M015696/1
6 · The paper itself

Abstract

In recent years immune checkpoint inhibitors have garnered attention as being one of the most promising types of immunotherapy on the horizon. There has been particular focus on the immune checkpoint molecules, cytotoxic T-lymphocyte antigen-4 (CTLA-4) and programmed cell death protein 1 (PD-1) which have been shown to have potent immunomodulatory effects through their function as negative regulators of T cell activation. CTLA-4, through engagement with its ligands B7-1 (CD80) and B7-2 (CD86), plays a pivotal role in attenuating the activation of naïve and memory T cells. In contrast, PD-1 is primarily involved in modulating T cell activity in peripheral tissues via its interaction with PD-L1 and PD-L2. The discovery of these negative regulators of the immune response was crucial in the development of checkpoint inhibitors. This shifted the focus from developing therapies that targeted activation of the host immune system against cancer to checkpoint inhibitors, which aimed to mediate tumor cell destruction through the removal of coinhibitory signals blocking anti-tumor T cell responses.

Identifiers

PMID28866656
PMCPMC6163118
OpenAlexW2897778033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.