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Recurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma
DC Field | Value | Language |
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dc.contributor.author | Kim, Bu-Yeo | - |
dc.contributor.author | Choi, Dong Wook | - |
dc.contributor.author | Woo, Seon Rang | - |
dc.contributor.author | Park, Eun-Ran | - |
dc.contributor.author | Lee, Je-Geun | - |
dc.contributor.author | Kim, Su-Hyeon | - |
dc.contributor.author | Koo, Imhoi | - |
dc.contributor.author | Park, Sun-Hoo | - |
dc.contributor.author | Han, Chul Ju | - |
dc.contributor.author | Kim, Sang Bum | - |
dc.contributor.author | Yeom, Young Il | - |
dc.contributor.author | Yang, Suk-Jin | - |
dc.contributor.author | Yu, Ami | - |
dc.contributor.author | Lee, Jae Won | - |
dc.contributor.author | Jang, Ja June | - |
dc.contributor.author | Cho, Myung-Haing | - |
dc.contributor.author | Jeon, Won Kyung | - |
dc.contributor.author | Park, Young Nyun | - |
dc.contributor.author | Suh, Kyung-Suk | - |
dc.contributor.author | Lee, Kee-Ho | - |
dc.date.accessioned | 2017-02-07T05:11:19Z | - |
dc.date.available | 2017-02-07T05:11:19Z | - |
dc.date.created | 2018-09-03 | - |
dc.date.issued | 2015-04 | - |
dc.identifier.citation | BMC Genomics, Vol.16, p. 279 | - |
dc.identifier.issn | 1471-2164 | - |
dc.identifier.other | 49650 | - |
dc.identifier.uri | https://hdl.handle.net/10371/100473 | - |
dc.description | This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. | ko_KR |
dc.description.abstract | Background: 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.language | 영어 | - |
dc.language.iso | en | ko_KR |
dc.publisher | BioMed Central | - |
dc.title | Recurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma | - |
dc.type | Article | - |
dc.contributor.AlternativeAuthor | 조명행 | - |
dc.identifier.doi | 10.1186/s12864-015-1472-x | - |
dc.citation.journaltitle | BMC Genomics | - |
dc.identifier.wosid | 000355165400001 | - |
dc.identifier.scopusid | 2-s2.0-84930648779 | - |
dc.language.rfc3066 | en | - |
dc.rights.holder | Kim et al.; licensee BioMed Central. | - |
dc.date.updated | 2017-01-06T10:05:46Z | - |
dc.citation.startpage | 279 | - |
dc.citation.volume | 16 | - |
dc.identifier.sci | 000355165400001 | - |
dc.description.isOpenAccess | Y | - |
dc.contributor.affiliatedAuthor | Jang, Ja June | - |
dc.contributor.affiliatedAuthor | Cho, Myung-Haing | - |
dc.contributor.affiliatedAuthor | Suh, Kyung-Suk | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | GENE-EXPRESSION PROFILES | - |
dc.subject.keywordPlus | LIVER-TISSUE | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordPlus | SURVIVAL | - |
dc.subject.keywordPlus | CANCER | - |
dc.subject.keywordPlus | NORMALIZATION | - |
dc.subject.keywordPlus | METASTASIS | - |
dc.subject.keywordPlus | MICROARRAY | - |
dc.subject.keywordPlus | INFECTION | - |
dc.subject.keywordPlus | CELLS | - |
dc.subject.keywordAuthor | Recurrence-associated pathway | - |
dc.subject.keywordAuthor | Hepatocellular carcinoma | - |
dc.subject.keywordAuthor | Principal component analysis | - |
dc.subject.keywordAuthor | Prognosis | - |
dc.subject.keywordAuthor | Risk | - |
dc.subject.keywordAuthor | Small tumor | - |
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