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Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer.

Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer.

Authors :
Bramsen, Jesper Bertram
Rasmussen, Mads Heilskov
Ongen, Halit
Mattesen, Trine Block
Ørntoft, Mai-Britt Worm
Árnadóttir, Sigrid Salling
Sandoval, Juan
Laguna, Teresa
Vang, Søren
Øster, Bodil
Lamy, Philippe
Madsen, Mogens Rørbæk
Laurberg, Søren
Esteller, Manel
Dermitzakis, Emmanouil Theophilos
Ørntoft, Torben Falck
Andersen, Claus Lindbjerg
Source :
Cell Reports; May2017, Vol. 19 Issue 6, p1268-1280, 13p
Publication Year :
2017

Abstract

Summary Colorectal cancer (CRC) is characterized by major inter-tumor diversity that complicates the prediction of disease and treatment outcomes. Recent efforts help resolve this by sub-classification of CRC into natural molecular subtypes; however, this strategy is not yet able to provide clinicians with improved tools for decision making. We here present an extended framework for CRC stratification that specifically aims to improve patient prognostication. Using transcriptional profiles from 1,100 CRCs, including >300 previously unpublished samples, we identify cancer cell and tumor archetypes and suggest the tumor microenvironment as a major prognostic determinant that can be influenced by the microbiome. Notably, our subtyping strategy allowed identification of archetype-specific prognostic biomarkers that provided information beyond and independent of UICC-TNM staging, MSI status, and consensus molecular subtyping. The results illustrate that our extended subtyping framework, combining subtyping and subtype-specific biomarkers, could contribute to improved patient prognostication and may form a strong basis for future studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26391856
Volume :
19
Issue :
6
Database :
Complementary Index
Journal :
Cell Reports
Publication Type :
Academic Journal
Accession number :
122947964
Full Text :
https://doi.org/10.1016/j.celrep.2017.04.045