Evidence map›Paper›PMID 37057593›Full record

ArticleCancer research2023

Spatially Resolved Transcriptomics Deconvolutes Prognostic Histological Subgroups in Patients with Colorectal Cancer and Synchronous Liver Metastases.

Colin S Wood, Kathryn A F Pennel, Holly Leslie, Assya Legrini, Andrew J Cameron, Lydia Melissourgou-Syka, Jean A Quinn, Hester C van Wyk, Jennifer Hay, Antonia K Roseweir and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Recent advances in biomarkers for cardiac fibrosis.Frontiers in cardiovascular medicine · 2026
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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

19 authors at 4 institutions in 1 country.

Colin S Wood *University Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0001-7005-6171
Kathryn A F Pennel *School of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0003-0186-1331
Holly LeslieSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-8898-3600
Assya LegriniSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-5377-3048
Andrew J CameronSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-7065-9033
Lydia Melissourgou-SykaSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-0926-2328
Jean A QuinnSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-8267-0993
Hester C van WykUniversity Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0002-4978-5000
Jennifer HayGlasgow Tissue Research Facility, Queen Elizabeth University Hospital, Glasgow, United Kingdom.ORCID 0000-0001-9973-4992
Antonia K RoseweirSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-6158-1564
Colin NixonCRUK Beatson Institute, Glasgow, United Kingdom.ORCID 0000-0002-8085-2160
Campbell S D RoxburghUniversity Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0002-2649-6695
Donald C McMillanUniversity Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0003-4260-5334
Andrew V BiankinSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-0362-5597
Owen J SansomSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-9540-3010
Paul G HorganUniversity Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0001-5557-7905
Joanne EdwardsSchool of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-7192-6906
Colin W Steele *University Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0001-8518-1223
Nigel B Jamieson *University Department of Surgery, Glasgow Royal Infirmary, Glasgow, United Kingdom.ORCID 0000-0002-9552-4725
University of Glasgow · GBGlasgow Royal Infirmary · GBCancer Research UK Scotland Institute · GBQueen Elizabeth University Hospital · GB

Funding

Medical Research Council MR/V029711/1
6 · The paper itself

Abstract

Strong immune responses in primary colorectal cancer correspond with better patient survival following surgery compared with tumors with predominantly stromal microenvironments. However, biomarkers to identify patients with colorectal cancer liver metastases (CRLM) with good prognosis following surgery for oligometastatic disease remain elusive. The aim of this study was to determine the practical application of a simple histological assessment of immune cell infiltration and stromal content in predicting outcome following synchronous resection of primary colorectal cancer and CRLM and to interrogate the underlying functional biology that drives disease progression. Samples from patients undergoing synchronous resection of primary colorectal cancer and CRLM were evaluated in detail through histological assessment, panel genomic and bulk transcriptomic assessment, IHC, and GeoMx spatial transcriptomics (ST) analysis. High immune infiltration of metastases was associated with improved cancer-specific survival. Bulk transcriptomic analysis was confounded by stromal content, but ST demonstrated that the invasive edge of the metastases of long-term survivors was characterized by adaptive immune cell populations enriched for type II IFN signaling and MHC-class II antigen presentation. In contrast, patients with poor prognosis demonstrated increased abundance of regulatory T cells and neutrophils with enrichment of Notch and TGFβ signaling pathways at the metastatic tumor center. In summary, histological assessment can stratify outcomes in patients undergoing synchronous resection of CRLM, suggesting that it has potential as a prognostic biomarker. Furthermore, ST analysis has revealed significant intratumoral and interlesional heterogeneity and identified the underlying transcriptomic programs driving each phenotype. SIGNIFICANCE: Spatial transcriptomics uncovers heterogeneity between patients, between matched lesions in the same patient, and within individual lesions and identifies drivers of metastatic progression in colorectal cancer with reactive and suppressed immune microenvironments.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsHepatectomyHumansPrognosisTranscriptomeTumor Microenvironment

Identifiers

PMID37057593
PMCPMC10102851
OpenAlexW4365484874

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.