Evidence map›Paper›PMID 39138341›Full record

ReviewNPJ precision oncology2024

The current landscape of spatial biomarkers for prediction of response to immune checkpoint inhibition.

Hannah L Williams, Ana Leni Frei, Thibaud Koessler, Martin D Berger, Heather Dawson, Olivier Michielin, Inti Zlobec

Abstract readReview
In one paragraph

Review in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. A baseline systemic inflammatory signature predicts anti-PD-1 response in advanced melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Decoding the breast cancer microenvironment by spatial multi-omics: from architecture to clinical translation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  15. Article
  16. 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

7 authors.

Hannah L Williams *Institute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland. hannah.williams@unibe.ch.ORCID http://orcid.org/0000-0003-0434-3900
Ana Leni Frei *Institute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Thibaud KoesslerMedical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205, Geneva, Switzerland.
Martin D BergerDepartment of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Heather DawsonInstitute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.
Olivier MichielinMedical Oncology Department, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205, Geneva, Switzerland.
Inti ZlobecInstitute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) CRSII5_193832
6 · The paper itself

Abstract

Enabling the examination of cell-cell relationships in tissue, spatially resolved omics technologies have revolutionised our perspectives on cancer biology. Clinically, the development of immune checkpoint inhibitors (ICI) has advanced cancer therapeutics. However, a major challenge of effective implementation is the identification of predictive biomarkers of response. In this review we examine the potential added predictive value of spatial biomarkers of response to ICI beyond current clinical benchmarks.

Identifiers

PMID39138341
PMCPMC11322473

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.