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Cited 19 times in

Comparison of Prognostic Genomic Predictors in Colorectal Cancer

DC Field Value Language
dc.contributor.author박은성-
dc.contributor.author임재윤-
dc.date.accessioned2014-12-18T09:18:14Z-
dc.date.available2014-12-18T09:18:14Z-
dc.date.issued2013-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/87918-
dc.description.abstractBACKGROUND: 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.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHCarcinoma/diagnosis*-
dc.subject.MESHCarcinoma/genetics-
dc.subject.MESHCarcinoma/mortality-
dc.subject.MESHColorectal Neoplasms/diagnosis*-
dc.subject.MESHColorectal Neoplasms/genetics-
dc.subject.MESHColorectal Neoplasms/mortality-
dc.subject.MESHDisease-Free Survival-
dc.subject.MESHFemale-
dc.subject.MESHGene Expression-
dc.subject.MESHGene Expression Profiling-
dc.subject.MESHGenetic Markers-
dc.subject.MESHGenomics-
dc.subject.MESHHumans-
dc.subject.MESHKaplan-Meier Estimate-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeoplasm Proteins/genetics*-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHResearch Design-
dc.titleComparison of Prognostic Genomic Predictors in Colorectal Cancer-
dc.typeArticle-
dc.contributor.collegeResearcher Institutes (부설 연구소)-
dc.contributor.departmentInstitute for Medical Convergence (연의-생공연 메디컬융합연구소)-
dc.contributor.googleauthorYun-Yong Park-
dc.contributor.googleauthorSung Sook Lee-
dc.contributor.googleauthorJae Yun Lim-
dc.contributor.googleauthorSang Cheol Kim-
dc.contributor.googleauthorSang Bae Kim-
dc.contributor.googleauthorBo Hwa Sohn-
dc.contributor.googleauthorIn-Sun Chu-
dc.contributor.googleauthorSang Cheul Oh-
dc.contributor.googleauthorEun Sung Park-
dc.contributor.googleauthorWoojin Jeong-
dc.contributor.googleauthorSung Soo Kim-
dc.contributor.googleauthorScott Kopetz-
dc.contributor.googleauthorJu-Seog Lee-
dc.identifier.doi10.1371/journal.pone.0060778-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01609-
dc.contributor.localIdA03398-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid23626670-
dc.subject.keywordAdult-
dc.subject.keywordAged-
dc.subject.keywordAged, 80 and over-
dc.subject.keywordCarcinoma/diagnosis*-
dc.subject.keywordCarcinoma/genetics-
dc.subject.keywordCarcinoma/mortality-
dc.subject.keywordColorectal Neoplasms/diagnosis*-
dc.subject.keywordColorectal Neoplasms/genetics-
dc.subject.keywordColorectal Neoplasms/mortality-
dc.subject.keywordDisease-Free Survival-
dc.subject.keywordFemale-
dc.subject.keywordGene Expression-
dc.subject.keywordGene Expression Profiling-
dc.subject.keywordGenetic Markers-
dc.subject.keywordGenomics-
dc.subject.keywordHumans-
dc.subject.keywordKaplan-Meier Estimate-
dc.subject.keywordMale-
dc.subject.keywordMiddle Aged-
dc.subject.keywordNeoplasm Proteins/genetics*-
dc.subject.keywordPredictive Value of Tests-
dc.subject.keywordResearch Design-
dc.contributor.alternativeNamePark, Eun Sung-
dc.contributor.alternativeNameLim, Jae Yun-
dc.contributor.affiliatedAuthorPark, Eun Sung-
dc.contributor.affiliatedAuthorLim, Jae Yun-
dc.rights.accessRightsfree-
dc.citation.volume8-
dc.citation.number4-
dc.citation.startPagee60778-
dc.identifier.bibliographicCitationPLOS ONE, Vol.8(4) : e60778, 2013-
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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