Evidence map›Paper›PMID 23584089›Full record

ArticleNature medicine2013

A colorectal cancer classification system that associates cellular phenotype and responses to therapy.

Anguraj Sadanandam, Costas A Lyssiotis, Krisztian Homicsko, Eric A Collisson, William J Gibb, Stephan Wullschleger, Liliane C Gonzalez Ostos, William A Lannon, Carsten Grotzinger, Maguy Del Rio and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 574 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
574citing papers in PubMed, 3 pooled it
44.2field-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

574 citing papers in PubMed, 3 syntheses or guidelines pooled it, 963 citations in OpenAlex.

  1. Pooled it
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  4. Results of the Phase I/II Study and Preliminary B-cell Gene Signature of Combined Inhibition of Glutamine Metabolism and EGFR in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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514 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 4 countries.

Anguraj SadanandamSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Costas A Lyssiotis
Krisztian Homicsko
Eric A Collisson
William J Gibb
Stephan Wullschleger
Liliane C Gonzalez Ostos
William A Lannon
Carsten Grotzinger
Maguy Del Rio
Benoit Lhermitte
Adam B Olshen
Bertram Wiedenmann
Lewis C Cantley
Joe W Gray
Douglas Hanahan
École Polytechnique Fédérale de Lausanne · CHCharité - Universitätsmedizin Berlin · DEUniversity of California, San Francisco · USCornell University · USGenomic Health (United States) · USHarvard University · USHarvard University Press · USInserm · FROregon Health & Science University · USSIB Swiss Institute of Bioinformatics · CHUniversity of Lausanne · CH

Funding

Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SPELLMAN, PAUL T. · 2004 to 2014
$27.1M
A Model for Preclinical Biomarker Discovery in Pancreatic Ductal AdenocarcinomaK08CA137153 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLISSON, ERIC · 2010 to 2014
$815k
NCI NIH HHS K08 CA137153NCI NIH HHS U54 CA 112970NCI NIH HHS U54 CA112970
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a major cause of cancer mortality. Whereas some patients respond well to therapy, others do not, and thus more precise, individualized treatment strategies are needed. To that end, we analyzed gene expression profiles from 1,290 CRC tumors using consensus-based unsupervised clustering. The resultant clusters were then associated with therapeutic response data to the epidermal growth factor receptor-targeted drug cetuximab in 80 patients. The results of these studies define six clinically relevant CRC subtypes. Each subtype shares similarities to distinct cell types within the normal colon crypt and shows differing degrees of 'stemness' and Wnt signaling. Subtype-specific gene signatures are proposed to identify these subtypes. Three subtypes have markedly better disease-free survival (DFS) after surgical resection, suggesting these patients might be spared from the adverse effects of chemotherapy when they have localized disease. One of these three subtypes, identified by filamin A expression, does not respond to cetuximab but may respond to cMET receptor tyrosine kinase inhibitors in the metastatic setting. Two other subtypes, with poor and intermediate DFS, associate with improved response to the chemotherapy regimen FOLFIRI in adjuvant or metastatic settings. Development of clinically deployable assays for these subtypes and of subtype-specific therapies may contribute to more effective management of this challenging disease.

Indexed as

Gene Expression Regulation, NeoplasticAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCetuximabColonColorectal NeoplasmsGene Expression ProfilingGenetic MarkersHumansNeoplasm MetastasisOligonucleotide Array Sequence AnalysisPhenotypeSignal TransductionTreatment OutcomeAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCetuximabGenetic Markers

Identifiers

PMID23584089
PMCPMC3774607
OpenAlexW2108516575

What OpenQuestion holds

Textmetadata
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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.