Web of Science: 2014 cites, Scopus: 2048 cites, Google Scholar: cites,
The Consensus Molecular Subtypes of Colorectal Cancer
Guinney, Justin (Sage Bionetworks. Fred Hutchinson Cancer Research Center (USA))
Dienstmann, Rodrigo (Vall d'Hebron Institut d'Oncologia)
Wang, Xin (City University of Hong Kong. Department of Biomedical Sciences (China))
de Reyniès, Aurélien (Ligue Nationale Contre le Cancer (France))
Schlicker, Andreas (The Netherlands Cancer Institute (NKI) (Netherlands))
Soneson, Charlotte (SIB Swiss Institute of Bioinformatics (Switzerland))
Marisa, Laetitia (Ligue Nationale Contre le Cancer (France))
Roepman, Paul (Agendia NV (Netherlands))
Nyamundanda, Gift (The Institute of Cancer Research (UK))
Angelino, Paolo (SIB Swiss Institute of Bioinformatics (Switzerland))
Bot, Brian M. (Sage Bionetworks. Fred Hutchinson Cancer Research Center (USA))
Morris, Jeffrey S. (The University of Texas M.D. Anderson Cancer Center (USA))
Simon, Iris M. (Agendia NV (Netherlands))
Gerster, Sarah (SIB Swiss Institute of Bioinformatics (Switzerland))
Fessler, Evelyn (University of Amsterdam (Netherlands))
de Sousa e Melo, Felipe (University of Amsterdam (Netherlands))
Missiaglia, Edoardo (SIB Swiss Institute of Bioinformatics (Switzerland))
Ramay, Hena (SIB Swiss Institute of Bioinformatics (Switzerland))
Barras, David (SIB Swiss Institute of Bioinformatics (Switzerland))
Homicsko, Krisztian (Ecole Polytechnique Federale de Lausanne (Switzerland))
Maru, Dipen (The University of Texas M.D. Anderson Cancer Center, Houston (USA))
Manyam, Ganiraju C. (The University of Texas M.D. Anderson Cancer Center, Houston (USA))
Broom, Bradley (The University of Texas M.D. Anderson Cancer Center, Houston (USA))
Boige, Valerie (Gustave Roussy, Villejuif (France))
Perez-Villamil, Beatriz (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC))
Laderas, Ted (Sage Bionetworks. Fred Hutchinson Cancer Research Center (USA))
Salazar, Ramon (Institut d'Investigació Biomèdica de Bellvitge)
Gray, Joe W. (Oregon Health Sciences University (USA))
Hanahan, Douglas (Ecole Polytechnique Federale de Lausanne (Switzerland))
Tabernero, Josep (Vall d'Hebron Institut d'Oncologia)
Bernards, Rene (The Netherlands Cancer Institute (NKI) (Netherlands))
Friend, Stephen H. (Sage Bionetworks. Fred Hutchinson Cancer Research Center (USA))
Laurent-Puig, Pierre (Universite Paris Descartes (France))
Medema, Jan Paul (LEXOR, Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam (Netherlands))
Sadanandam, Anguraj (The Institute of Cancer Research (UK))
Wessels, Lodewyk (The Netherlands Cancer Institute (NKI) (Netherlands))
Delorenzi, Mauro (University of Lausanne (Switzerland))
Kopetz, Scott (The University of Texas M.D. Anderson Cancer Center (USA))
Vermeulen, Louis (LEXOR, Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam (Netherlands))
Tejpar, Sabine (Universitair ziekenhuis Leuven (Belgium))
Universitat Autònoma de Barcelona

Data: 2015
Resum: Colorectal cancer (CRC) is a frequently lethal disease with heterogeneous outcomes and drug responses. To resolve inconsistencies among the reported gene expression-based CRC classifications and facilitate clinical translation, we formed an international consortium dedicated to large-scale data sharing and analytics across expert groups. We show marked interconnectivity between six independent classification systems coalescing into four consensus molecular subtypes (CMS) with distinguishing features: CMS1 (MSI Immune, 14%), hypermutated, microsatellite unstable, strong immune activation; CMS2 (Canonical, 37%), epithelial, chromosomally unstable, marked WNT and MYC signaling activation; CMS3 (Metabolic, 13%), epithelial, evident metabolic dysregulation; and CMS4 (Mesenchymal, 23%), prominent transforming growth factor β activation, stromal invasion, and angiogenesis. Samples with mixed features (13%) possibly represent a transition phenotype or intra-tumoral heterogeneity. We consider the CMS groups the most robust classification system currently available for CRC - with clear biological interpretability - and the basis for future clinical stratification and subtype-based targeted interventions.
Ajuts: European Commission 638193
Nota: Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use -- https://www.nature.com/authors/policies/license.html#terms
Drets: Tots els drets reservats
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Publicat a: Nature Medicine, Vol. 21, Num. 11 (November 2015) , p. 1350-1356, ISSN 1546-170X

DOI: 10.1038/nm.3967
PMID: 26457759


33 p, 1.9 MB

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