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

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

In: Cell Reports, Vol. 19, No. 6, 09.05.2017, p. 1268-1280.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Bramsen, JB, Rasmussen, MH, Ongen, H, Mattesen, TB, Ørntoft, M-BW, Árnadóttir, SS, Sandoval, J, Laguna, T, Vang, S, Øster, B, Lamy, P, Madsen, MR, Laurberg, S, Esteller, M, Dermitzakis, ET, Ørntoft, TF & Andersen, CL 2017, 'Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer', Cell Reports, vol. 19, no. 6, pp. 1268-1280. https://doi.org/10.1016/j.celrep.2017.04.045

APA

CBE

Bramsen JB, Rasmussen MH, Ongen H, Mattesen TB, Ørntoft M-BW, Árnadóttir SS, Sandoval J, Laguna T, Vang S, Øster B, Lamy P, Madsen MR, Laurberg S, Esteller M, Dermitzakis ET, Ørntoft TF, Andersen CL. 2017. Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer. Cell Reports. 19(6):1268-1280. https://doi.org/10.1016/j.celrep.2017.04.045

MLA

Vancouver

Author

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. / Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer. In: Cell Reports. 2017 ; Vol. 19, No. 6. pp. 1268-1280.

Bibtex

@article{5431d7ac37fe4baf8a305770944fe12e,
title = "Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer",
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.",
keywords = "Journal Article",
author = "Bramsen, {Jesper Bertram} and Rasmussen, {Mads Heilskov} and Halit Ongen and Mattesen, {Trine Block} and {\O}rntoft, {Mai-Britt Worm} and {\'A}rnad{\'o}ttir, {Sigrid Salling} and Juan Sandoval and Teresa Laguna and S{\o}ren Vang and Bodil {\O}ster and Philippe Lamy and Madsen, {Mogens R{\o}rb{\ae}k} and S{\o}ren Laurberg and Manel Esteller and Dermitzakis, {Emmanouil Theophilos} and {\O}rntoft, {Torben Falck} and Andersen, {Claus Lindbjerg}",
note = "Copyright {\circledC} 2017 The Author(s). Published by Elsevier Inc. All rights reserved.",
year = "2017",
month = "5",
day = "9",
doi = "10.1016/j.celrep.2017.04.045",
language = "English",
volume = "19",
pages = "1268--1280",
journal = "Cell Reports",
issn = "2211-1247",
publisher = "Cell Press",
number = "6",

}

RIS

TY - JOUR

T1 - Molecular-Subtype-Specific Biomarkers Improve Prediction of Prognosis in Colorectal Cancer

AU - Bramsen, Jesper Bertram

AU - Rasmussen, Mads Heilskov

AU - Ongen, Halit

AU - Mattesen, Trine Block

AU - Ørntoft, Mai-Britt Worm

AU - Árnadóttir, Sigrid Salling

AU - Sandoval, Juan

AU - Laguna, Teresa

AU - Vang, Søren

AU - Øster, Bodil

AU - Lamy, Philippe

AU - Madsen, Mogens Rørbæk

AU - Laurberg, Søren

AU - Esteller, Manel

AU - Dermitzakis, Emmanouil Theophilos

AU - Ørntoft, Torben Falck

AU - Andersen, Claus Lindbjerg

N1 - Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

PY - 2017/5/9

Y1 - 2017/5/9

N2 - 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.

AB - 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.

KW - Journal Article

U2 - 10.1016/j.celrep.2017.04.045

DO - 10.1016/j.celrep.2017.04.045

M3 - Journal article

VL - 19

SP - 1268

EP - 1280

JO - Cell Reports

JF - Cell Reports

SN - 2211-1247

IS - 6

ER -