title: Comparison of prognostic genomic predictors in colorectal cancer.
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.
  
  
  METHODS
  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.
authors.affiliation: Department of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
authors.forename: Yun-Yong
authors.initials: YY
authors.lastname: Park
authors.forename: Sung Sook
authors.initials: SS
authors.lastname: Lee
authors.forename: Jae Yun
authors.initials: JY
authors.lastname: Lim
authors.forename: Sang Cheol
authors.initials: SC
authors.lastname: Kim
authors.forename: Sang Bae
authors.initials: SB
authors.lastname: Kim
authors.forename: Bo Hwa
authors.initials: BH
authors.lastname: Sohn
authors.forename: In-Sun
authors.initials: IS
authors.lastname: Chu
authors.forename: Sang Cheul
authors.initials: SC
authors.lastname: Oh
authors.forename: Eun Sung
authors.initials: ES
authors.lastname: Park
authors.forename: Woojin
authors.initials: W
authors.lastname: Jeong
authors.forename: Sung Soo
authors.initials: SS
authors.lastname: Kim
authors.forename: Scott
authors.initials: S
authors.lastname: Kopetz
authors.forename: Ju-Seog
authors.initials: JS
authors.lastname: Lee
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002277:Carcinoma / Q000175:diagnosis* / Q000235:genetics / Q000401:mortality; D015179:Colorectal Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000401:mortality; D018572:Disease-Free Survival; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D005819:Genetic Markers; D023281:Genomics; D006801:Humans; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D009363:Neoplasm Proteins / Q000235:genetics*; D011237:Predictive Value of Tests; D012107:Research Design
chemical_list: D005819:Genetic Markers; D009363:Neoplasm Proteins