Evidence map›Paper›PMID 38782602›Full record

ArticleLife science alliance2024

A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues.

Tim R de Back, Tan Wu, Pascale Jm Schafrat, Sanne Ten Hoorn, Miaomiao Tan, Lingli He, Sander R van Hooff, Jan Koster, Lisanne E Nijman, Geraldine R Vink and 6 more

Erratum issuedAbstract readConsensus Statement
In one paragraph

Article in Life science alliance, 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. A laminin α4-CD8Oncoimmunology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Tim R de BackCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.ORCID 0000-0002-5205-8031
Tan WuKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
Pascale Jm SchafratCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Sanne Ten HoornCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Miaomiao TanDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
Lingli HeDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
Sander R van HooffCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.ORCID 0000-0002-0402-5681
Jan KosterCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Lisanne E NijmanCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Geraldine R VinkDepartment of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-6731-9660
Inès J BeumerGenomeScan B.V., Leiden, Netherlands.
Clara C ElbersCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Kristiaan J LenosCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Dirkje W SommeijerCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands.
Xin WangDepartment of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China.
Louis VermeulenCancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Amsterdam, Netherlands l.vermeulen@amsterdamumc.nl.ORCID 0000-0002-6066-789X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consensus Molecular Subtype (CMS) classification of colorectal cancer (CRC) tissues is complicated by RNA degradation upon formalin-fixed paraffin-embedded (FFPE) preservation. Here, we present an FFPE-curated CMS classifier. The CMSFFPE classifier was developed using genes with a high transcript integrity in FFPE-derived RNA. We evaluated the classification accuracy in two FFPE-RNA datasets with matched fresh-frozen (FF) RNA data, and an FF-derived RNA set. An FFPE-RNA application cohort of metastatic CRC patients was established, partly treated with anti-EGFR therapy. Key characteristics per CMS were assessed. Cross-referenced with matched benchmark FF CMS calls, the CMSFFPE classifier strongly improved classification accuracy in two FFPE datasets compared with the original CMSClassifier (63.6% versus 40.9% and 83.3% versus 66.7%, respectively). We recovered CMS-specific recurrence-free survival patterns (CMS4 versus CMS2: hazard ratio 1.75, 95% CI 1.24-2.46). Key molecular and clinical associations of the CMSs were confirmed. In particular, we demonstrated the predictive value of CMS2 and CMS3 for anti-EGFR therapy response (CMS2&3: odds ratio 5.48, 95% CI 1.10-27.27). The CMSFFPE classifier is an optimized FFPE-curated research tool for CMS classification of clinical CRC samples.

Indexed as

Colorectal NeoplasmsAgedBiomarkers, TumorErbB ReceptorsFemaleFormaldehydeGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedParaffin EmbeddingPrognosisTissue FixationBiomarkers, TumorErbB ReceptorsFormaldehyde

Identifiers

PMID38782602
PMCPMC11116811

What Socratic 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 Socratic graph.