2015
DOI: 10.1038/nm.3967
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The consensus molecular subtypes of colorectal cancer

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 (CMS) with distinguishing features: CMS1 (MSI… Show more

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Cited by 3,969 publications
(5,370 citation statements)
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References 74 publications
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“…The recent definition of four CMS groups has provided a rational framework to refine classification and stratification of CRC (Guinney et al ., 2015). In our datasets, we observe strong correlation between loss of CDX2 and the CMS1 and CMS4 subtypes, in accordance with the strong association of CDX2 loss with MSI (CMS1) and worse prognosis (CMS4), and loss of differentiation, a hallmark of CDX2 loss in cancer (Suh et al ., 1994).…”
Section: Discussionmentioning
confidence: 99%
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“…The recent definition of four CMS groups has provided a rational framework to refine classification and stratification of CRC (Guinney et al ., 2015). In our datasets, we observe strong correlation between loss of CDX2 and the CMS1 and CMS4 subtypes, in accordance with the strong association of CDX2 loss with MSI (CMS1) and worse prognosis (CMS4), and loss of differentiation, a hallmark of CDX2 loss in cancer (Suh et al ., 1994).…”
Section: Discussionmentioning
confidence: 99%
“…The data have partly been published ( n  =   236; NCBI's Gene Expression Omnibus (GEO) accession numbers http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE24550, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE29638, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE69182, and http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE79959), and the remaining data will be published elsewhere (Sveen et al ., manuscript). The samples were classified according to CMS using the random forest predictor implemented in the R library CMSclassifier with a default posterior probability of 0.5 (Guinney et al ., 2015). …”
Section: Methodsmentioning
confidence: 99%
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“…Furthermore, it would be interesting to investigate if there is a relationship and/or synergism with mutational status of K‐ras, as this is already associated with CAT in colorectal cancer 43. Finally, future work may demonstrate that there is a link between the expression profiles in CAT and different subtypes of colon cancer,61 as Magnus et al. previously reported glioblastoma subtype‐specific phenotypes and altered coagulation‐related genes.…”
Section: Unbiased Screen For Risk Factors In Catmentioning
confidence: 96%
“…This novel classification takes into account various molecular and histological features such as microsatellite instability, immune activation status, morphological appearance (epithelial vs. mesenchymal), activation of Wnt, c‐Myc and TGF‐β signaling circuits, and metabolic dysregulation. In addition, prototypical CRC genes such as TP53 , APC , CTNNB1 , SMAD4 , PI3KCA , NRAS , PTEN , KRAS, and BRAF , which are not strictly associated with the CMS classification system 17, further diversify the clinical presentation spectrum of CRC. Nevertheless, particular aberrations can provide a basis for personalized treatment decisions, such as activating mutations in KRAS , which serve as contraindications for epidermal growth factor receptor (EGFR)‐targeted therapy 18.…”
Section: Stemness Programs and Emt Govern Crc Heterogeneity And Progrmentioning
confidence: 99%