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

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dc.contributor.authorKim, Bu-Yeo-
dc.contributor.authorChoi, Dong Wook-
dc.contributor.authorWoo, Seon Rang-
dc.contributor.authorPark, Eun-Ran-
dc.contributor.authorLee, Je-Geun-
dc.contributor.authorKim, Su-Hyeon-
dc.contributor.authorKoo, Imhoi-
dc.contributor.authorPark, Sun-Hoo-
dc.contributor.authorHan, Chul Ju-
dc.contributor.authorKim, Sang Bum-
dc.contributor.authorYeom, Young Il-
dc.contributor.authorYang, Suk-Jin-
dc.contributor.authorYu, Ami-
dc.contributor.authorLee, Jae Won-
dc.contributor.authorJang, Ja June-
dc.contributor.authorCho, Myung-Haing-
dc.contributor.authorJeon, Won Kyung-
dc.contributor.authorPark, Young Nyun-
dc.contributor.authorSuh, Kyung-Suk-
dc.contributor.authorLee, Kee-Ho-
dc.date.accessioned2021-09-04T17:17:16Z-
dc.date.available2021-09-04T17:17:16Z-
dc.date.created2021-06-18-
dc.date.issued2015-04-10-
dc.identifier.issn1471-2164-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/93851-
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.languageEnglish-
dc.language.isoen-
dc.publisherBMC-
dc.subjectGENE-EXPRESSION PROFILES-
dc.subjectPREDICTION-
dc.subjectSURVIVAL-
dc.subjectLIVER-
dc.subjectNORMALIZATION-
dc.subjectMETASTASIS-
dc.subjectCELLS-
dc.titleRecurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Jae Won-
dc.identifier.doi10.1186/s12864-015-1472-x-
dc.identifier.scopusid2-s2.0-84930648779-
dc.identifier.wosid000355165400001-
dc.identifier.bibliographicCitationBMC GENOMICS, v.16-
dc.relation.isPartOfBMC GENOMICS-
dc.citation.titleBMC GENOMICS-
dc.citation.volume16-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaGenetics & Heredity-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryGenetics & Heredity-
dc.subject.keywordPlusGENE-EXPRESSION PROFILES-
dc.subject.keywordPlusPREDICTION-
dc.subject.keywordPlusSURVIVAL-
dc.subject.keywordPlusLIVER-
dc.subject.keywordPlusNORMALIZATION-
dc.subject.keywordPlusMETASTASIS-
dc.subject.keywordPlusCELLS-
dc.subject.keywordAuthorRecurrence-associated pathway-
dc.subject.keywordAuthorHepatocellular carcinoma-
dc.subject.keywordAuthorPrincipal component analysis-
dc.subject.keywordAuthorPrognosis-
dc.subject.keywordAuthorRisk-
dc.subject.keywordAuthorSmall tumor-
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