Evidence map›Paper›PMID 39866377›Full record

ArticleBiology methods & protocols2025

ImmuNet: a segmentation-free machine learning pipeline for immune landscape phenotyping in tumors by multiplex imaging.

Shabaz Sultan, Mark A J Gorris, Evgenia Martynova, Lieke L van der Woude, Franka Buytenhuijs, Sandra van Wilpe, Kiek Verrijp, Carl G Figdor, I Jolanda M de Vries, Johannes Textor

Abstract read
In one paragraph

Article in Biology methods & protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Cemiplimab in Locally Advanced or Metastatic Secondary Angiosarcomas (CEMangio): A Phase II Clinical Trial and Biomarker Analyses.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. [Immunotherapy advances · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

10 authors.

Shabaz SultanMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0001-9664-5249
Mark A J GorrisMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0003-3621-226X
Evgenia MartynovaMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0002-0461-1787
Lieke L van der WoudeMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.
Franka BuytenhuijsData Science Group, Institute for Computing and Information Sciences, Radboud University, Nijmegen 6525 EC, The Netherlands.
Sandra van WilpeMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0002-0164-7549
Kiek VerrijpOncode Institute, Radboudumc, Nijmegen 6525 GA, The Netherlands.
Carl G FigdorMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0002-2366-9212
I Jolanda M de VriesMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0002-8653-4040
Johannes TextorMedical BioSciences, Radboudumc, Nijmegen 6562 GA, The Netherlands.ORCID https://orcid.org/0000-0002-0459-9458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue specimens taken from primary tumors or metastases contain important information for diagnosis and treatment of cancer patients. Multiplex imaging allows

Indexed as

cell detectionclick annotationsdeep learningmultiplex immunohistochemistry

Identifiers

PMID39866377
PMCPMC11769680

What OpenQuestion holds

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LicenceCC BY
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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.