Evidence map›Paper›PMID 30026866›Full record

ReviewTheranostics2018

Noninvasive imaging of the PD-1:PD-L1 immune checkpoint: Embracing nuclear medicine for the benefit of personalized immunotherapy.

Katrijn Broos, Quentin Lecocq, Geert Raes, Nick Devoogdt, Marleen Keyaerts, Karine Breckpot

Abstract readReview
In one paragraph

Review in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. [Immunotherapy advances · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. An optimized radiosynthesis of [Journal of labelled compounds & radiopharmaceuticals · 2023
    Article
  17. Dynamic Tumor-Specific MHC-II Immuno-PET Predicts the Efficacy of Checkpoint Inhibitor Immunotherapy in Melanoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  18. Review
  19. Article
  20. Review

3 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.

Katrijn BroosLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels.
Quentin LecocqLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels.
Geert RaesUnit of Cellular and Molecular Immunology (CMIM), VUB, Pleinlaan 2, B-1050 Brussels.
Nick DevoogdtIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), VUB, Laarbeeklaan 103, B-1090 Brussels.
Marleen KeyaertsIn Vivo Cellular and Molecular Imaging Laboratory (ICMI), VUB, Laarbeeklaan 103, B-1090 Brussels.
Karine BreckpotLaboratory of Molecular and Cellular Therapy (LMCT), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular imaging of the immune checkpoint receptor PD-1 and its ligand PD-L1 is increasingly investigated as a strategy to guide and monitor PD-1:PD-L1-targeted immune checkpoint therapy. We provide an overview of the current state-of-the-art on PD-1- and PD-L1-specific imaging agents for quantitative, real-time assessment of PD-1:PD-L1 expression in the tumor environment and discuss their potential for clinical translation.

Indexed as

B7-H1 AntigenHumansMolecular ImagingNeoplasmsNuclear MedicinePrecision MedicineProgrammed Cell Death 1 ReceptorB7-H1 AntigenCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptorbiomarkerimmunotherapymolecular imagingPD-1:PD-L1

Identifiers

PMID30026866
PMCPMC6037030

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.