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Comparison of Prognostic Genomic Predictors in Colorectal Cancer

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 genom...

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Autores principales: Park, Yun-Yong, Lee, Sung Sook, Lim, Jae Yun, Kim, Sang Cheol, Kim, Sang Bae, Sohn, Bo Hwa, Chu, In-Sun, Oh, Sang Cheul, Park, Eun Sung, Jeong, Woojin, Kim, Sung Soo, Kopetz, Scott, Lee, Ju-Seog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3634034/
https://www.ncbi.nlm.nih.gov/pubmed/23626670
http://dx.doi.org/10.1371/journal.pone.0060778
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author Park, Yun-Yong
Lee, Sung Sook
Lim, Jae Yun
Kim, Sang Cheol
Kim, Sang Bae
Sohn, Bo Hwa
Chu, In-Sun
Oh, Sang Cheul
Park, Eun Sung
Jeong, Woojin
Kim, Sung Soo
Kopetz, Scott
Lee, Ju-Seog
author_facet Park, Yun-Yong
Lee, Sung Sook
Lim, Jae Yun
Kim, Sang Cheol
Kim, Sang Bae
Sohn, Bo Hwa
Chu, In-Sun
Oh, Sang Cheul
Park, Eun Sung
Jeong, Woojin
Kim, Sung Soo
Kopetz, Scott
Lee, Ju-Seog
author_sort Park, Yun-Yong
collection PubMed
description 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.
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spelling pubmed-36340342013-04-26 Comparison of Prognostic Genomic Predictors in Colorectal Cancer Park, Yun-Yong Lee, Sung Sook Lim, Jae Yun Kim, Sang Cheol Kim, Sang Bae Sohn, Bo Hwa Chu, In-Sun Oh, Sang Cheul Park, Eun Sung Jeong, Woojin Kim, Sung Soo Kopetz, Scott Lee, Ju-Seog PLoS One Research Article 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. Public Library of Science 2013-04-23 /pmc/articles/PMC3634034/ /pubmed/23626670 http://dx.doi.org/10.1371/journal.pone.0060778 Text en © 2013 Park et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Park, Yun-Yong
Lee, Sung Sook
Lim, Jae Yun
Kim, Sang Cheol
Kim, Sang Bae
Sohn, Bo Hwa
Chu, In-Sun
Oh, Sang Cheul
Park, Eun Sung
Jeong, Woojin
Kim, Sung Soo
Kopetz, Scott
Lee, Ju-Seog
Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title_full Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title_fullStr Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title_full_unstemmed Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title_short Comparison of Prognostic Genomic Predictors in Colorectal Cancer
title_sort comparison of prognostic genomic predictors in colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3634034/
https://www.ncbi.nlm.nih.gov/pubmed/23626670
http://dx.doi.org/10.1371/journal.pone.0060778
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