| Literature DB >> 28494874 |
Jesper Bertram Bramsen1, Mads Heilskov Rasmussen2, Halit Ongen3, Trine Block Mattesen2, Mai-Britt Worm Ørntoft2, Sigrid Salling Árnadóttir2, Juan Sandoval4, Teresa Laguna4, Søren Vang2, Bodil Øster2, Philippe Lamy2, Mogens Rørbæk Madsen5, Søren Laurberg6, Manel Esteller7, Emmanouil Theophilos Dermitzakis3, Torben Falck Ørntoft2, Claus Lindbjerg Andersen8.
Abstract
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300 previously unpublished samples, we identify cancer cell and tumor archetypes and suggest the tumor microenvironment as a major prognostic determinant that can be influenced by the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.Entities:
Keywords: CMS; CRC; CRC classification; archetype; colorectal cancer; microbiome; molecular subtypes; molecular subtyping; prognostic biomarker; prognostification; tumor microenvironment
Mesh:
Substances:
Year: 2017 PMID: 28494874 DOI: 10.1016/j.celrep.2017.04.045
Source DB: PubMed Journal: Cell Rep Impact factor: 9.423