Evidence map›Paper›PMID 39788558›Full record

ArticleThe Journal of pathology2025

Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome.

Nicholas Trahearn, Chirine Sakr, Abhirup Banerjee, Seung Hyun Lee, Ann-Marie Baker, Hemant M Kocher, Valentina Angerilli, Federica Morano, Francesca Bergamo, Giulia Maddalena and 8 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

18 authors.

Nicholas TrahearnCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.ORCID 0000-0002-8596-0996
Chirine SakrCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Abhirup BanerjeeBarts Cancer Institute, Queen Mary University of London, London, UK.
Seung Hyun LeeCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Ann-Marie BakerCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.ORCID 0000-0001-8905-9137
Hemant M KocherBarts Cancer Institute, Queen Mary University of London, London, UK.ORCID 0000-0001-6771-1905
Valentina AngerilliDepartment of Medicine (DIMED), University of Padua, Padua, Italy.
Federica MoranoFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Francesca BergamoVeneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Giulia MaddalenaVeneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Rossana IntiniVeneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Chiara CremoliniComputational Biology Research Centre, Human Technopole, Milan, Italy.
Giulio CaravagnaUniversity of Triest, Triest, Italy.
Trevor GrahamCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
Filippo PietrantonioFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Sara LonardiVeneto Institute of Oncology IOV-IRCCS, Padua, Italy.
Matteo FassanDepartment of Medicine (DIMED), University of Padua, Padua, Italy.ORCID 0000-0001-6515-5482
Andrea SottorivaCentre for Evolution and Cancer, The Institute of Cancer Research, London, UK.ORCID 0000-0001-6709-9533

Funding

The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO · 2018 to 2022
$8.6M
Associazione Italiana per la Ricerca sul Cancro 22759Cancer Research UK A19771Cancer Research UK A22909Cancer Research UK A26815Cancer Research UK C19941/A27859Cancer Research UK DRCNPG-May21_100001Medical Research Council MR/P000789/1Ministero della Salute GR-2019-12371132Ministero della Salute NET-2016-02363853NCI NIH HHS U54 CA217376NIH HHS U54 CA217376Wellcome TrustWellcome Trust 105104/Z/14/ZWellcome Trust 202778/B/16/ZWellcome Trust 202778/Z/16/Z
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a histologically heterogeneous disease with variable clinical outcome. The role the tumour microenvironment (TME) plays in determining tumour progression is complex and not fully understood. To improve our understanding, it is critical that the TME is studied systematically within clinically annotated patient cohorts with long-term follow-up. Here we studied the TME in three clinical cohorts of metastatic CRC with diverse molecular subtype and treatment history. The MISSONI cohort included cases with microsatellite instability that received immunotherapy (n = 59, 24 months median follow-up). The BRAF cohort included BRAF V600E mutant microsatellite stable (MSS) cancers (n = 141, 24 months median follow-up). The VALENTINO cohort included RAS/RAF WT MSS cases who received chemotherapy and anti-EGFR therapy (n = 175, 32 months median follow-up). Using a Deep learning cell classifier, trained upon >38,000 pathologist annotations, to detect eight cell types within H&E-stained sections of CRC, we quantified the spatial tissue organisation and colocalisation of cell types across these cohorts. We found that the ratio of infiltrating endothelial cells to cancer cells, a possible marker of vascular invasion, was an independent predictor of progression-free survival (PFS) in the BRAF+MISSONI cohort (p = 0.033, HR = 1.44, CI = 1.029-2.01). In the VALENTINO cohort, this pattern was also an independent PFS predictor in TP53 mutant patients (p = 0.009, HR = 0.59, CI = 0.40-0.88). Tumour-infiltrating lymphocytes were an independent predictor of PFS in BRAF+MISSONI (p = 0.016, HR = 0.36, CI = 0.153-0.83). Elevated tumour-infiltrating macrophages were predictive of improved PFS in the MISSONI cohort (p = 0.031). We validated our cell classification using highly multiplexed immunofluorescence for 17 markers applied to the same sections that were analysed by the classifier (n = 26 cases). These findings uncovered important microenvironmental factors that underpin treatment response across and within CRC molecular subtypes, while providing an atlas of the distribution of 180 million cells in 375 clinically annotated CRC patients. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Indexed as

Colorectal NeoplasmsTumor MicroenvironmentAgedBiomarkers, TumorComputational BiologyEndothelial CellsFemaleHumansLymphocytes, Tumor-InfiltratingMaleMicrosatellite InstabilityMiddle AgedMutationProto-Oncogene Proteins B-rafTreatment OutcomeBiomarkers, TumorBRAF protein, humanProto-Oncogene Proteins B-rafcomputational pathology; artificial intelligence; colorectal cancer; endothelial; lymphocyte; macrophage

Identifiers

PMID39788558
PMCPMC11717494

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Registered trials

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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.