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The consensus molecular subtypes of colorectal cancer

  • Justin Guinney
  • , Rodrigo Dienstmann
  • , Xin Wang
  • , Aurélien de Reyniès
  • , Andreas Schlicker
  • , Charlotte Soneson
  • , Laetitia Marisa
  • , Paul Roepman
  • , Gift Nyamundanda
  • , Paolo Angelino
  • , Brian M Bot
  • , Jeffrey S Morris
  • , Iris M Simon
  • , Sarah Gerster
  • , Evelyn Fessler
  • , Felipe De Sousa E Melo
  • , Edoardo Missiaglia
  • , Hena Ramay
  • , David Barras
  • , Krisztian Homicsko
  • Dipen Maru, Ganiraju C Manyam, Bradley Broom, Valerie Boige, Beatriz Perez-Villamil, Ted Laderas, Ramon Salazar, Joe W Gray, Douglas Hanahan, Josep Tabernero, Rene Bernards, Stephen H Friend, Pierre Laurent-Puig, Jan Paul Medema, Anguraj Sadanandam, Lodewyk Wessels, Mauro Delorenzi, Scott Kopetz, Louis Vermeulen, Sabine Tejpar

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

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 (CMSs) with distinguishing features: CMS1 (microsatellite instability immune, 14%), hypermutated, microsatellite unstable and strong immune activation; CMS2 (canonical, 37%), epithelial, marked WNT and MYC signaling activation; CMS3 (metabolic, 13%), epithelial and 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 intratumoral 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.

Original languageEnglish
Pages (from-to)1350-1356
Number of pages7
JournalNature Medicine
Volume21
Issue number11
DOIs
Publication statusPublished - Nov 2015

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