Evidence map›Paper›PMID 40181205›Full record

ArticleThe Journal of pathology2025

A Tc1- and Th1-T-lymphocyte-rich tumor microenvironment is a hallmark of MSI colorectal cancer.

Zhihao Huang, Tim Mandelkow, Nicolaus F Debatin, Magalie C J Lurati, Julia Ebner, Jonas B Raedler, Elena Bady, Jan H Müller, Ronald Simon, Eik Vettorazzi and 21 more

Abstract read
In one paragraph

Article in The Journal of pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Differences in T-cell Densities and Neighborhood Patterns in Human Colorectal Adenomas and Sessile Serrated Lesions.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
  4. Review
  5. Review
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

31 authors.

Zhihao Huang *Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0009-0002-8513-5037
Tim Mandelkow *Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Nicolaus F DebatinInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Magalie C J LuratiInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Julia EbnerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jonas B RaedlerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Elena BadyInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-8586-5200
Jan H MüllerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ronald SimonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-0158-4258
Eik VettorazziDepartment of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Anne MenzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Katharina MöllerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Natalia GorbokonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Guido SauterInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Maximilian LennartzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Andreas M LuebkeInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Doris HöflmayerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Till KrechInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Patrick LebokInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christoph FrauneInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Andrea HinschInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Frank JacobsenInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Andreas H MarxInstitute of Pathology, Klinikum Fürth, Fürth, Germany.
Stefan SteurerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sarah MinnerInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
David DumInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sören WeidemannInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christian BernreutherInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Till S ClauditzInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Eike BurandtInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Niclas C BlessinInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-8043-3081

Funding

China Scholarship Council 202106090273
6 · The paper itself

Abstract

Microsatellite instability is a strong predictor of response to immune checkpoint therapy and patient outcome in colorectal cancer. Although enrichment of distinct T-cell subpopulations has been determined to impact the response to immune checkpoint therapy and patient outcome, little is known about the underlying changes in the composition of the immune tumor microenvironment. To assess the density, composition, degree of functional marker expression, and spatial interplay of T-cell subpopulations, 79 microsatellite instable (MSI) and 1,045 microsatellite stable (MSS) colorectal cancers were analyzed. A tissue microarray and large sections were stained with 19 antibodies directed against T cells, antigen-presenting cells, functional markers, and structural proteins using our BLEACH&STAIN multiplex-fluorescence immunohistochemistry approach. A deep learning-based framework comprising >20 different convolutional neuronal networks was developed for image analysis. The composition of Type 1 (T-bet

Indexed as

Colorectal NeoplasmsLymphocytes, Tumor-InfiltratingMicrosatellite InstabilityTh1 CellsTumor MicroenvironmentAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedTissue Array AnalysisBiomarkers, Tumorartificial intelligencecolorectal cancerimmune checkpointsmicrosatellite instabilityspatial analysisT‐cell subpopulations

Identifiers

PMID40181205
PMCPMC12056287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.