Scott Kopetz|Josep Tabernero|Robert Rosenberg|Zhi Qin Jiang|V??ctor Moreno|Thomas Bachleitner?Hofmann|Giovanni Lanza|L Stork-Sloots|Dipen M. Maru|Iris Simón|Gabriel Capellà|Ramón Salazar
Genomic Classifier ColoPrint Predicts Recurrence in Stage II Colorectal Cancer Patients More Accurately Than Clinical Factors
The University of Texas MD Anderson Cancer Center|Universitat Autònoma de Barcelona|Rechts der Isar Hospital|The University of Texas MD Anderson Cancer Center|Universitat de Barcelona|Medical University of Vienna|University of Ferrara|Agendia (Netherlands)|The University of Texas MD Anderson Cancer Center|Agendia (Netherlands)|Institut Català d'Oncologia|Institut d'Investigació Biomédica de Bellvitge|Institut Català d'Oncologia|Institut d'Investigació Biomédica de Bellvitge
approximately 20 patients stage ii colorectal cancer experience relapse current clinicalpathologic stratification factors allow clear identification highrisk patients coloprint agendia amsterdam netherlands httpwwwagendiacom gene expression classifier distinguishes patients low high risk disease relapsecoloprint developed using wholegenome expression data validated several independent validation cohorts stage ii patients studies pooled n 416 coloprint compared clinical risk factors described national comprehensive cancer network nccn 2013 guidelines colon cancer median followup 81 months patients 70 receive adjuvant chemotherapy risk relapse ror defined survival first event recurrence death cancerin pooled stage ii data set coloprint identified 63 patients low risk 5year ror 10 whereas highrisk patients 37 5year ror 21 hazard ratio hr 216 p 004 remained significant multivariate model included number lymph nodes retrieved microsatellite instability t3 microsatellitestable subgroup n 301 coloprint classified 59 patients low risk 5year ror 99 highrisk patients 31 224 ror hr 241 p 005 contrast nccn clinical highrisk factors unable distinguish high lowrisk patients 15 vs 13 ror p 55coloprint significantly improved prognostic accuracy independent microsatellite status clinical variables facilitating identification patients higher risk might considered additional treatment