Evidence map›Paper›PMID 24406433›Full record

ArticleCell cycle (Georgetown, Tex.)2014

Reconciliation of classification systems defining molecular subtypes of colorectal cancer: interrelationships and clinical implications.

Anguraj Sadanandam, Xin Wang, Felipe de Sousa E Melo, Joe W Gray, Louis Vermeulen, Douglas Hanahan, Jan Paul Medema

Abstract readComment
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Trial
  2. Single-cell transcriptomic analysis reveals cellular heterogeneity and prognostic subtypes in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
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  10. αSMAOncogene · 2021
    Article
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  15. Article
  16. Article
  17. Observational
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  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Anguraj SadanandamSwiss Institute of Bioinformatics; Lausanne, Switzerland; Swiss Institute for Experimental Cancer Research; Swiss Federal Institute of Technology Lausanne (EPFL); Lausanne, Switzerland.
Xin WangCancer Research UK Cambridge Institute; University of Cambridge; Cambridge, UK.
Felipe de Sousa E MeloLaboratory for Experimental Oncology and Radiobiology; Center for Experimental Molecular Medicine; Academic Medical Center (AMC); Amsterdam, The Netherlands.
Joe W GrayDepartment of Biomedical Engineering; Oregon Health and Science University; Portland, OR USA.
Louis VermeulenCancer Research UK Cambridge Institute; University of Cambridge; Cambridge, UK; Laboratory for Experimental Oncology and Radiobiology; Center for Experimental Molecular Medicine; Academic Medical Center (AMC); Amsterdam, The Netherlands.
Douglas HanahanSwiss Institute for Experimental Cancer Research; Swiss Federal Institute of Technology Lausanne (EPFL); Lausanne, Switzerland.
Jan Paul MedemaLaboratory for Experimental Oncology and Radiobiology; Center for Experimental Molecular Medicine; Academic Medical Center (AMC); Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently we published two independent studies describing novel gene expression-based classifications of colorectal cancer (CRC). Notably, each study stratified CRC into a different number of subtypes: one reported 3 subtypes, whereas the second highlighted 5. Given that each ascribed clinical significance, distinctive biology, and therapeutic prognosis to the different subtypes, we sought to reconcile this apparent incongruity in subtype stratification of CRC, and to interrelate the results. To do so, we each evaluated the other's data sets and analytical methods and discovered that the subtypes and their classifiers are, in fact, clearly related to each other; indeed, the 5 subtype outcomes can be coalesced into the same three. In addition to presenting this clarification, we briefly discuss how both classification methods can be viewed within the broader literature on CRC subtypes, and potentially applied.

Indexed as

Gene Expression Regulation, NeoplasticColonic NeoplasmsColorectal NeoplasmsHumanscancer subtypescetuximabCIMPcolorectal cancerconsensus clusteringMSIserrated pathwaytherapy resistance

Identifiers

PMID24406433
PMCPMC3956531

What OpenQuestion holds

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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.