Background: Adjuvant therapy for stage II patients is recommended for patients with high risk features, especially with T4 tumors. Adjuvant therapy is not indicated for patients with MSI-H status who are considered of being at low risk of disease relapse. However, this leaves the majority of patients with an undetermined risk. ColoPrint is an 18-gene expression classifier that identifies early-stage colon cancer patients at higher risk of disease relapse. Methods: ColoPrint was developed using whole genome expression data and was validated in public datasets (n=322) and independent patient cohorts from 5 European hospitals. Tissue specimen, clinical parameters, MSI-status and follow-up data (median follow-up 70 months) for patients were available and the ColoPrint index was determined using validated diagnostic arrays. Uni-and multivariate analysis was performed on the pooled stage II patient set (n=320) and the subset of patients who were T3/ MSS (n=227). Results: In the analysis of all stage II patients, ColoPrint classified two-third of stage II patients as being at lower risk. The 3-year Relapse-Free-Survial (RFS) RFS was 91% for Low Risk and 74% for patients at higher risk with a HR of 2.9 (p=0.001). Clinicopathological parameters from the ASCO recommendations (T4, perforation, <12 LN assessed, and/ or high grade) or NCCN guidelines (ASCO factors plus angio-lymphatic invasion) did not predict a differential outcome for high risk patients (p< 0.20). In the subgroup of patients with T3 and MSS phenotype, ColoPrint classified 61% of patients at lower risk with a 3-year RFS of 91% (86-96%) and 39% of patients at higher risk with a 3-year RFS of 73% (63-83%) (p=0.002). No clinical parameter was significantly prognostic in this subgroup. Conclusions: ColoPrint combined with established clinicopathological factors and MSI, significantly improves prognostic accuracy, thereby facilitating the identification of patients at higher risk who might be considered for additional treatment.

Validation of a genomic classifier (ColoPrint) for predicting outcome in the T3-MSS subgroup of stage II colon cancer patients.

LANZA, Giovanni;
2012

Abstract

Background: Adjuvant therapy for stage II patients is recommended for patients with high risk features, especially with T4 tumors. Adjuvant therapy is not indicated for patients with MSI-H status who are considered of being at low risk of disease relapse. However, this leaves the majority of patients with an undetermined risk. ColoPrint is an 18-gene expression classifier that identifies early-stage colon cancer patients at higher risk of disease relapse. Methods: ColoPrint was developed using whole genome expression data and was validated in public datasets (n=322) and independent patient cohorts from 5 European hospitals. Tissue specimen, clinical parameters, MSI-status and follow-up data (median follow-up 70 months) for patients were available and the ColoPrint index was determined using validated diagnostic arrays. Uni-and multivariate analysis was performed on the pooled stage II patient set (n=320) and the subset of patients who were T3/ MSS (n=227). Results: In the analysis of all stage II patients, ColoPrint classified two-third of stage II patients as being at lower risk. The 3-year Relapse-Free-Survial (RFS) RFS was 91% for Low Risk and 74% for patients at higher risk with a HR of 2.9 (p=0.001). Clinicopathological parameters from the ASCO recommendations (T4, perforation, <12 LN assessed, and/ or high grade) or NCCN guidelines (ASCO factors plus angio-lymphatic invasion) did not predict a differential outcome for high risk patients (p< 0.20). In the subgroup of patients with T3 and MSS phenotype, ColoPrint classified 61% of patients at lower risk with a 3-year RFS of 91% (86-96%) and 39% of patients at higher risk with a 3-year RFS of 73% (63-83%) (p=0.002). No clinical parameter was significantly prognostic in this subgroup. Conclusions: ColoPrint combined with established clinicopathological factors and MSI, significantly improves prognostic accuracy, thereby facilitating the identification of patients at higher risk who might be considered for additional treatment.
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1892956
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