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Prognostic impact of a novel gene expression profile classifier for the discrimination between metastatic and non-metastatic primary colorectal cancer tumors

Authors :
Luis A. Corchete
Alberto Orfao
María Laura Gutiérrez
Sofía Del Carmen
Jacinto García
Jose Antonio Alcazar
Manuel Iglesias
María Fernanda Anduaga
Encarna Fermiñán
Carmen López Esteban
Luis Muñoz-Bellvís
María del Mar Abad
María Eugenia Sarasquete
Oscar Bengoechea
José María Sayagués
María Angoso
European Commission
Fundación Eugenio Rodríguez Pascual
Fundación Memoria de D. Samuel Solorzano Barruso
Red Temática de Investigación Cooperativa en Cáncer (España)
Ministerio de Economía y Competitividad (España)
Instituto de Salud Carlos III
Junta de Castilla y León
Source :
Oncotarget, Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2017
Publisher :
Impact Journals LLC, 2017.

Abstract

Despite significant advances have been achieved in the genetic characterization of sporadic colorectal cancer (sCRC), the precise genetic events leading to the development of distant metastasis remain poorly understood. Thus, accurate prediction of metastatic disease in newly-diagnosed sCRC patients remains a challenge. Here, we evaluated the specific genes and molecular pathways associated with the invasive potential of colorectal tumor cells, through the assessment of the gene expression profile (GEP) of coding and non-coding genes in metastatic (MTX) vs. non-metastatic (non-MTX) primary sCRC tumors followed for >5 years. Overall, MTX tumors showed up-regulation of genes associated with tumor progression and metastatic potential while non-MTX cases displayed GEP associated with higher cell proliferation, activation of DNA repair and anti-tumoral immune/inflammatory responses. Based on only 19 genes a specific GEP that classifies sCRC tumors into two MTX-like and non-MTX-like molecular subgroups was defined which shows an independent prognostic impact on patient overall survival, particularly when it is combined with the lymph node status at diagnosis. In summary, we show an association between the global GEP of primary sCRC cells and their metastatic potential and defined a GEP-based classifier that provides the basis for further prognostic stratification of sCRC patients who are at risk of distant metastases.<br />This work has been partially supported by grants from the Instituto de Salud Carlos III (ISCIII; Ministerio de Economía y Competitividad, Madrid, Spain) (PI12/02053-FIS and PI17/01779-FIS), Gerencia Regional de Salud de Castilla y León, Valladolid, Spain (GRS1302/A/16), Consejería de Sanidad (Junta de Castilla y Leon, Valladolid, Spain) (BIO/SA02/13), RTICC and CIBERONC from the ISCIII (RD12/0020/0035-FEDER, RD12/0036/0048-FEDER, CB16/12/00400), Fundación Memoria de Don Samuel Solórzano Barruso, (Salamanca, Spain) and Fundación Eugenio Rodríguez Pascual, (Madrid, Spain). ML Gutiérrez and JM Sayagués are supported by grants: PTA2014-09963-I and CES11/004 from the ISCIII.

Details

Language :
English
ISSN :
19492553
Volume :
8
Issue :
64
Database :
OpenAIRE
Journal :
Oncotarget
Accession number :
edsair.doi.dedup.....0ef7a6bf57e7f564f08148df5ae7eef4