Evidence map›Paper›PMID 30796810›Full record

ReviewAnnals of oncology : official journal of the European Society for Medical Oncology2019

Context matters-consensus molecular subtypes of colorectal cancer as biomarkers for clinical trials.

E Fontana, K Eason, A Cervantes, R Salazar, A Sadanandam

Abstract readReview
In one paragraph

Review in Annals of oncology : official journal of the European Society for Medical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Trial
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  4. Review
  5. Article
  6. miR-7847-3p Serves as a Prognostic Biomarker and Suppresses Colorectal Cancer Progression.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
    Article
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  8. Review
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  16. Review
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23 more citing papers are in PubMed but not listed here.

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

5 authors.

E FontanaDivision of Molecular Pathology, The Institute of Cancer Research, London; Centre for Molecular Pathology, The Royal Marsden NHS Foundation Trust, London, UK.
K EasonDivision of Molecular Pathology, The Institute of Cancer Research, London.
A CervantesCIBERONC, Department of Medical Oncology, Biomedical Research Institute INCLIVA, University of Valencia, Valencia.
R SalazarInstitut Catala d'Oncologia, L'Institut d'Investigació Biomèdica de Bellvitge, Barcelona, Spain.
A SadanandamDivision of Molecular Pathology, The Institute of Cancer Research, London; Centre for Molecular Pathology, The Royal Marsden NHS Foundation Trust, London, UK. Electronic address: anguraj.sadanandam@icr.ac.uk.

Funding

Cancer Research UK
6 · The paper itself

Abstract

The Colorectal Cancer Subtyping Consortium identified four gene expression consensus molecular subtypes, CMS1 (immune), CMS2 (canonical), CMS3 (metabolic), and CMS4 (mesenchymal), using multiple microarray or RNA-sequencing datasets of primary tumor samples mainly from early stage colon cancer patients. Consequently, rectal tumors and stage IV tumors (possibly reflective of more aggressive disease) were underrepresented, and no chemo- and/or radiotherapy pretreated samples or metastatic lesions were included. In view of their possible effect on gene expression and consequently subtype classification, sample source and treatments received by the patients before collection must be carefully considered when applying the classifier to new datasets. Recently, several correlative analyses of clinical trials demonstrated the applicability of this classification to the metastatic setting, confirmed the prognostic value of CMS subtypes after relapse and hinted at differential sensitivity to treatments. Here, we discuss why contexts and equivocal factors need to be taken into account when analyzing clinical trial data, including potential selection biases, type of platform, and type of algorithm used for subtype prediction. This perspective article facilitates both our clinical and research understanding of the application of this classifier to expedite subtype-based clinical trials.

Indexed as

Biomarkers, TumorChemoradiotherapyColorectal NeoplasmsNeoplasm Recurrence, LocalBiasClinical Trials as TopicConsensus SequenceData AnalysisDatasets as TopicHumansMutationOligonucleotide Array Sequence AnalysisPatient SelectionPrognosisRNA-SeqTreatment OutcomeBiomarkers, Tumorbiomarkersclinical trialsconsensus molecular subtypesgene expressionpersonalized medicinestratification

Identifiers

PMID30796810
PMCPMC6503627

What OpenQuestion holds

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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.