Comparison of Prognostic Genomic Predictors in Colorectal Cancer

Yun Yong Park, Sung Sook Lee, Jae Yun Lim, Sang Cheol Kim, Sang Bae Kim, Bo Hwa Sohn, In Sun Chu, Sang Cheul Oh, Eun Sung Park, Woojin Jeong, Sung Soo Kim, Scott Kopetz, Ju Seog Lee

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background: Although several prognostic genomic predictors have been identified from independent studies, it remains unclear whether these predictors are actually concordant with respect to their predictions for individual patients and which predictor performs best. We compared five prognostic genomic predictors, the V7RHS, the ColoGuideEx, the Meta163, the OncoDX, and the MDA114, in terms of predicting disease-free survival in two independent cohorts of patients with colorectal cancer. Study Design: Using original classification algorithms, we tested the predictions of five genomic predictors for disease-free survival in two cohorts of patients with colorectal cancer (n = 229 and n = 168) and evaluated concordance of predictors in predicting outcomes for individual patients. Results: We found that only two predictors, OncoDX and MDA114, demonstrated robust performance in identifying patients with poor prognosis in 2 independent cohorts. These two predictors also had modest but significant concordance of predicted outcome (r>0.3, P<0.001 in both cohorts). Conclusions: Further validation of developed genomic predictors is necessary. Despite the limited number of genes shared by OncoDX and MDA114, individual-patient outcomes predicted by these two predictors were significantly concordant.

Original languageEnglish (US)
Article numbere60778
JournalPloS one
Volume8
Issue number4
DOIs
StatePublished - Apr 23 2013

ASJC Scopus subject areas

  • General

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