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.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
