Evidence map›Paper›PMID 38319359›Full record

ReviewVirchows Archiv : an international journal of pathology2024

Molecular pathological classification of colorectal cancer-an update.

Philip D Dunne, Mark J Arends

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
25.9field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  5. HighTranslational cancer research · 2026
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  8. Review
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  18. Advances in Colorectal Cancer Cell Biology and Clonal Evolution.International journal of molecular sciences · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Philip D DunnePatrick G. Johnston Centre for Cancer Research, Queens University Belfast, Belfast, Northern Ireland, BT8 7AE, UK.
Mark J ArendsEdinburgh Pathology & Cancer Research UK Scotland Centre, Institute of Genetics & Cancer, University of Edinburgh, Crewe Road, Edinburgh, EH4 2XR, UK. M.Arends@ed.ac.uk.ORCID http://orcid.org/0000-0002-6826-8770
Edinburgh Cancer Research · GBQueen's University Belfast · GB

Funding

Cancer Research UK 29834
6 · The paper itself

Abstract

Colorectal cancer (CRC) has a broad range of molecular alterations with two major mechanisms of genomic instability (chromosomal instability and microsatellite instability) and has been subclassified into 4 consensus molecular subtypes (CMS) based on bulk RNA sequence data. Here, we update the molecular pathological classification of CRC with an overview of more recent bulk and single-cell RNA data analysis for development of transcriptional classifiers and risk stratification methods, taking into account the marked inter-tumoural and intra-tumoural heterogeneity of CRC. The importance of the stromal and immune components or tumour microenvironment (TME) to prognosis has emerged from these analyses. Attempts to remove the contribution of the tumour microenvironment and reveal neoplastic-specific transcriptional traits involved identification of the CRC intrinsic subtypes (CRIS). The use of immunohistochemistry and digital pathology to implement classification systems are evolving fields. Conventional adenoma versus serrated polyp pathway transcriptomic analysis and characterisation of canonical LGR5+ crypt base columnar stem cell versus ANXA1+ regenerative stem cell phenotypes emerged as key properties for improved understanding of transcriptional signals involved in molecular subclassification of colorectal cancers. Recently, classification by three pathway-derived subtypes (PDS1-3) has been developed, revealing a continuum of intrinsic biology associated with biological, stem cell, histopathological, and clinical attributes.

Indexed as

Colorectal NeoplasmsGene Expression ProfilingHumansTranscriptomeTumor MicroenvironmentColorectal cancerHereditaryMolecular pathological classification

Identifiers

PMID38319359
PMCPMC10948573
OpenAlexW4391564078

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.