Evidence map›Paper›PMID 32158591›Full record

ReviewImmune network2020

Co-Stimulatory Receptors in Cancers and Their Implications for Cancer Immunotherapy.

Seongju Jeong, Su-Hyung Park

Open access · diamondAbstract readReview
In one paragraph

Review in Immune network, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
3.5field-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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Emerging Immunotherapy Targets in Early Drug Development.International journal of molecular sciences · 2025
    Review
  11. Immune checkpoint inhibitor-associated myocarditis: a historical and comprehensive review.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  12. Journal of thoracic disease · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  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

2 authors at 1 institution in 1 country.

Seongju JeongBiomedical Science and Engineering Interdisciplinary Program, KAIST, Daejeon 34141, Korea.ORCID https://orcid.org/0000-0001-5866-7260
Su-Hyung ParkBiomedical Science and Engineering Interdisciplinary Program, KAIST, Daejeon 34141, Korea.ORCID https://orcid.org/0000-0001-6363-7736
Korea Advanced Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs), including anti-PD-1 and anti-CTLA-4 therapeutic agents, are now approved by the Food and Drug Administration for treatment of various types of cancer. However, the therapeutic efficacy of ICIs varies among patients and cancer types. Moreover, most patients do not develop durable antitumor responses after ICI therapy due to an ephemeral reversal of T-cell dysfunction. As co-stimulatory receptors play key roles in regulating the effector functions of T cells, activating co-stimulatory pathways may improve checkpoint inhibition efficacy, and lead to durable antitumor responses. Here, we review recent advances in our understating of co-stimulatory receptors in cancers, providing the necessary groundwork for the rational design of cancer immunotherapy.

Indexed as

Cancer, ImmunotherapyCostimulatory T-cell receptorsT-Lymphocytes

Identifiers

PMID32158591
PMCPMC7049585
OpenAlexW3006201797

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.