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

• Published in: Oncotarget Vol. 8; no. 64; pp. 107685 - 107700
• Main Authors: Gutiérrez, María Laura, Corchete, Luis Antonio, Sarasquete, María Eugenia, Del Mar Abad, María, Bengoechea, Oscar, Fermiñán, Encarna, Anduaga, María Fernanda, Del Carmen, Sofía, Iglesias, Manuel, Esteban, Carmen, Angoso, María, Alcazar, Jose Antonio, García, Jacinto, Orfao, Alberto, Muñoz-Bellvís, Luis, Sayagués, José María
• Format: Journal Article
• Language: English
• Published: United States Impact Journals LLC 08-12-2017
• Subjects: Research Paper; gene expression profile; primary tumor; metastatic; sporadic colorectal cancer; non-metastatic
• ISSN: 1949-2553; 1949-2553
• DOI: 10.18632/oncotarget.22591

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.