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Recurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma

DC Field Value Language
dc.contributor.author박영년-
dc.date.accessioned2016-02-04T11:42:57Z-
dc.date.available2016-02-04T11:42:57Z-
dc.date.issued2015-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/141038-
dc.description.abstractBACKGROUND: Despite the recent identification of several prognostic gene signatures, the lack of common genes among experimental cohorts has posed a considerable challenge in uncovering the molecular basis underlying hepatocellular carcinoma (HCC) recurrence for application in clinical purposes. To overcome the limitations of individual gene-based analysis, we applied a pathway-based approach for analysis of HCC recurrence. RESULTS: By implementing a permutation-based semi-supervised principal component analysis algorithm using the optimal principal component, we selected sixty-four pathways associated with hepatitis B virus (HBV)-positive HCC recurrence (p < 0.01), from our microarray dataset composed of 142 HBV-positive HCCs. In relation to the public HBV- and public hepatitis C virus (HCV)-positive HCC datasets, we detected 46 (71.9%) and 18 (28.1%) common recurrence-associated pathways, respectively. However, overlap of recurrence-associated genes between datasets was rare, further supporting the utility of the pathway-based approach for recurrence analysis between different HCC datasets. Non-supervised clustering of the 64 recurrence-associated pathways facilitated the classification of HCC patients into high- and low-risk subgroups, based on risk of recurrence (p < 0.0001). The pathways identified were additionally successfully applied to discriminate subgroups depending on recurrence risk within the public HCC datasets. Through multivariate analysis, these recurrence-associated pathways were identified as an independent prognostic factor (p < 0.0001) along with tumor number, tumor size and Edmondson's grade. Moreover, the pathway-based approach had a clinical advantage in terms of discriminating the high-risk subgroup (N = 12) among patients (N = 26) with small HCC (<3 cm). CONCLUSIONS: Using pathway-based analysis, we successfully identified the pathways involved in recurrence of HBV-positive HCC that may be effectively used as prognostic markers.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.relation.isPartOfBMC GENOMICS-
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.MESHAlgorithms-
dc.subject.MESHCarcinoma, Hepatocellular/complications-
dc.subject.MESHCarcinoma, Hepatocellular/diagnosis*-
dc.subject.MESHCarcinoma, Hepatocellular/epidemiology-
dc.subject.MESHCluster Analysis-
dc.subject.MESHDatabases, Factual-
dc.subject.MESHDisease-Free Survival-
dc.subject.MESHFemale-
dc.subject.MESHHepacivirus/isolation & purification-
dc.subject.MESHHepatitis B/complications-
dc.subject.MESHHepatitis B/diagnosis*-
dc.subject.MESHHepatitis B/virology-
dc.subject.MESHHepatitis B virus/isolation & purification-
dc.subject.MESHHumans-
dc.subject.MESHLiver Neoplasms/complications-
dc.subject.MESHLiver Neoplasms/diagnosis*-
dc.subject.MESHLiver Neoplasms/epidemiology-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHNeoplasm Recurrence, Local-
dc.subject.MESHPrincipal Component Analysis-
dc.subject.MESHPrognosis-
dc.subject.MESHRisk-
dc.titleRecurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Pathology (병리학)-
dc.contributor.googleauthorBu-Yeo Kim-
dc.contributor.googleauthorDong Wook Choi-
dc.contributor.googleauthorSeon Rang Woo-
dc.contributor.googleauthorEun-Ran Park-
dc.contributor.googleauthorJe-Geun Lee-
dc.contributor.googleauthorSu-Hyeon Kim-
dc.contributor.googleauthorImhoi Koo-
dc.contributor.googleauthorSun-Hoo Park-
dc.contributor.googleauthorChul Ju Han-
dc.contributor.googleauthorSang Bum Kim-
dc.contributor.googleauthorYoung Il Yeom-
dc.contributor.googleauthorSuk-Jin Yang-
dc.contributor.googleauthorAmi Yu-
dc.contributor.googleauthorJae Won Lee-
dc.contributor.googleauthorJa June Jang-
dc.contributor.googleauthorMyung-Haing Cho-
dc.contributor.googleauthorWon Kyung Jeon-
dc.contributor.googleauthorYoung Nyun Park-
dc.contributor.googleauthorKyung-Suk Suh-
dc.contributor.googleauthorKee-Ho Lee-
dc.identifier.doi10.1186/s12864-015-1472-x-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01563-
dc.relation.journalcodeJ00357-
dc.identifier.eissn1471-2164-
dc.identifier.pmid25888140-
dc.subject.keywordRecurrence-associated pathway-
dc.subject.keywordHepatocellular carcinoma-
dc.subject.keywordPrincipal component analysis-
dc.subject.keywordPrognosis-
dc.subject.keywordRisk-
dc.subject.keywordSmall tumor-
dc.contributor.alternativeNamePark, Young Nyun-
dc.contributor.affiliatedAuthorPark, Young Nyun-
dc.rights.accessRightsfree-
dc.citation.volume16-
dc.citation.startPage279-
dc.identifier.bibliographicCitationBMC GENOMICS, Vol.16 : 279, 2015-
dc.identifier.rimsid30472-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers

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