Evidence map›Paper›PMID 31632390›Full record

ReviewFrontiers in immunology2019

CD137L-DCs, Potent Immune-Stimulators-History, Characteristics, and Perspectives.

Qun Zeng, Yubin Zhou, Herbert Schwarz

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. 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
–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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Viral oncogenesis in cancer: from mechanisms to therapeutics.Signal transduction and targeted therapy · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Molecules (Basel, Switzerland) · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Contributions of Costimulatory Molecule CD137 in Endothelial Cells.Journal of the American Heart Association · 2021
    Review
  17. Article
  18. Article
  19. Review
  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

3 authors.

Qun ZengDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yubin ZhouDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Herbert SchwarzDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cell (DC)-based immunotherapies are being explored for over 20 years and found to be very safe. Most often, granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin-4 (IL-4)-induced monocyte-derived DCs (moDCs) are being used, which have demonstrated some life-prolonging benefit to patients of multiple tumors. However, the limited clinical response and efficacy call for the development of more potent DCs. CD137L-DC may meet this demand. CD137L-DCs are a novel type of monocyte-derived inflammatory DCs that are induced by CD137 ligand (CD137L) agonists. CD137L is expressed on the surface of antigen-presenting cells, including monocytes, and signaling of CD137L into monocytes induces their differentiation to CD137L-DCs. CD137L-DCs preferentially induce type 1 T helper (Th1) cell polarization and strong type 1 CD8

Indexed as

Dendritic CellsEpstein-Barr Virus InfectionsImmunizationNasopharyngeal CarcinomaNasopharyngeal Neoplasms4-1BB LigandCell DifferentiationClinical Trials, Phase I as TopicHerpesvirus 4, HumanHumansMonocytesT-Lymphocytes4-1BB LigandTNFSF9 protein, humanCD137L-DCmoDCreverse CD137L siganlingTc1Th1tumor immunotherapy

Identifiers

PMID31632390
PMCPMC6783506

What OpenQuestion holds

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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.