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Open AccessJournal ArticleDOI

The consensus molecular subtypes of colorectal cancer

TLDR
An international consortium dedicated to large-scale data sharing and analytics across expert groups is formed, showing marked interconnectivity between six independent classification systems coalescing into four consensus molecular subtypes (CMSs) with distinguishing features.
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.

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Citations
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Journal ArticleDOI

ESMO consensus guidelines for the management of patients with metastatic colorectal cancer

TL;DR: These ESMO consensus guidelines have been developed based on the current available evidence to provide a series of evidence-based recommendations to assist in the treatment and management of patients with mCRC in this rapidly evolving treatment setting.
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Wnt signaling in cancer.

TL;DR: Current insights into novel components of Wnt pathways are reviewed and how Wnt signaling affects maintenance of cancer stem cells, metastasis and immune control are described.
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A framework for advancing our understanding of cancer-associated fibroblasts

TL;DR: This Consensus Statement issues a call to action for all cancer researchers to standardize assays and report metadata in studies of cancer-associated fibroblasts to advance the understanding of this important cell type in the tumour microenvironment.
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The immune contexture in cancer prognosis and treatment

TL;DR: The immune contexture, which is determined by the density, composition, functional state and organization of the leukocyte infiltrate of the tumour, can yield information that is relevant to prognosis, prediction of a treatment response and various other pharmacodynamic parameters.
References
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Journal ArticleDOI

Random Forests

TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

TL;DR: It is shown that accurate gene-level abundance estimates are best obtained with large numbers of short single-end reads, and estimates of the relative frequencies of isoforms within single genes may be improved through the use of paired- end reads, depending on the number of possible splice forms for each gene.
Journal ArticleDOI

Significance analysis of microarrays applied to the ionizing radiation response

TL;DR: A method that assigns a score to each gene on the basis of change in gene expression relative to the standard deviation of repeated measurements is described, suggesting that this repair pathway for UV-damaged DNA might play a previously unrecognized role in repairing DNA damaged by ionizing radiation.
Journal ArticleDOI

Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets

TL;DR: In a four-genome analysis of 3' UTRs, approximately 13,000 regulatory relationships were detected above the estimate of false-positive predictions, thereby implicating as miRNA targets more than 5300 human genes, which represented 30% of the gene set.
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