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Barrier to autointegration factor 1, procollagen-lysine, 2-oxoglutarate 5-dioxygenase 3, and splicing factor 3b subunit 4 as early-stage cancer decision markers and drivers of hepatocellular carcinoma

DC Field Value Language
dc.contributor.author노원상-
dc.date.accessioned2018-10-22T13:17:37Z-
dc.date.available2018-10-22T13:17:37Z-
dc.date.issued2018-
dc.identifier.issn0270-9139-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/163714-
dc.description.abstractAn accurate tool enabling early diagnosis of hepatocellular carcinoma (HCC) is clinically important, given that early detection of HCC markedly improves survival. We aimed to investigate the molecular markers underlying early progression of HCC that can be detected in precancerous lesions. We designed a gene selection strategy to identify potential driver genes by integrative analysis of transcriptome and clinicopathological data of human multistage HCC tissues, including precancerous lesions, low- and high-grade dysplastic nodules. The gene selection process was guided by detecting the selected molecules in both HCC and precancerous lesion. Using various computational approaches, we selected 10 gene elements as a candidate and, through immunohistochemical staining, showed that barrier to autointegration factor 1 (BANF1), procollagen-lysine, 2-oxoglutarate 5-dioxygenase 3 (PLOD3), and splicing factor 3b subunit 4 (SF3B4) are HCC decision markers with superior capability to diagnose early-stage HCC in a large cohort of HCC patients, as compared to the currently popular trio of HCC diagnostic markers: glypican 3, glutamine synthetase, and heat-shock protein 70. Targeted inactivation of BANF1, PLOD3, and SF3B4 inhibits in vitro and in vivo liver tumorigenesis by selectively modulating epithelial-mesenchymal transition and cell-cycle proteins. Treatment of nanoparticles containing small-interfering RNAs of the three genes suppressed liver tumor incidence as well as tumor growth rates in a spontaneous mouse HCC model. We also demonstrated that SF3B4 overexpression triggers SF3b complex to splice tumor suppressor KLF4 transcript to nonfunctional skipped exon transcripts. This contributes to malignant transformation and growth of hepatocyte through transcriptional inactivation of p27Kip1 and simultaneously activation of Slug genes. CONCLUSION: The findings suggest molecular markers of BANF1, PLOD3, and SF3B4 indicating early-stage HCC in precancerous lesion, and also suggest drivers for understanding the development of hepatocarcinogenesis. (Hepatology 2018;67:1360-1377).-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherWiley-
dc.relation.isPartOfHEPATOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAnimals-
dc.subject.MESHBiomarkers, Tumor/metabolism-
dc.subject.MESHBlotting, Western-
dc.subject.MESHCarcinogenesis/metabolism-
dc.subject.MESHCarcinoma, Hepatocellular/metabolism*-
dc.subject.MESHCarcinoma, Hepatocellular/pathology-
dc.subject.MESHDNA-Binding Proteins/metabolism*-
dc.subject.MESHHumans-
dc.subject.MESHImmunohistochemistry-
dc.subject.MESHLiver/metabolism-
dc.subject.MESHLiver/pathology-
dc.subject.MESHLiver Neoplasms/metabolism*-
dc.subject.MESHLiver Neoplasms/pathology-
dc.subject.MESHMice-
dc.subject.MESHNuclear Proteins/metabolism*-
dc.subject.MESHProcollagen-Lysine, 2-Oxoglutarate 5-Dioxygenase/metabolism*-
dc.subject.MESHRNA Splicing Factors/metabolism*-
dc.subject.MESHRats-
dc.subject.MESHTissue Array Analysis/methods-
dc.titleBarrier to autointegration factor 1, procollagen-lysine, 2-oxoglutarate 5-dioxygenase 3, and splicing factor 3b subunit 4 as early-stage cancer decision markers and drivers of hepatocellular carcinoma-
dc.typeArticle-
dc.contributor.collegeResearch Institutes-
dc.contributor.departmentInstitute of Gastroenterology-
dc.contributor.googleauthorQingyu Shen-
dc.contributor.googleauthorJung Woo Eun-
dc.contributor.googleauthorKyungbun Lee-
dc.contributor.googleauthorHyung Seok Kim-
dc.contributor.googleauthorHee Doo Yang-
dc.contributor.googleauthorSang Yean Kim-
dc.contributor.googleauthorEun Kyung Lee-
dc.contributor.googleauthorTaemook Kim-
dc.contributor.googleauthorKeunsoo Kang-
dc.contributor.googleauthorSeongchan Kim-
dc.contributor.googleauthorDal‐Hee Min-
dc.contributor.googleauthorSoon‐Nam Oh-
dc.contributor.googleauthorYoung‐Joon Lee-
dc.contributor.googleauthorHyuk Moon-
dc.contributor.googleauthorSimon Weonsang Ro-
dc.contributor.googleauthorWon Sang Park-
dc.contributor.googleauthorJung Young Lee-
dc.contributor.googleauthorSuk Woo Nam-
dc.identifier.doi10.1002/hep.29606-
dc.contributor.localIdA01286-
dc.relation.journalcodeJ00985-
dc.identifier.eissn1527-3350-
dc.identifier.pmid29059470-
dc.identifier.urlhttps://aasldpubs.onlinelibrary.wiley.com/doi/abs/10.1002/hep.29606-
dc.contributor.alternativeNameRo, Simon Weonsang-
dc.contributor.affiliatedAuthorRo, Simon Weonsang-
dc.citation.volume67-
dc.citation.number4-
dc.citation.startPage1360-
dc.citation.endPage1377-
dc.identifier.bibliographicCitationHEPATOLOGY, Vol.67(4) : 1360-1377, 2018-
dc.identifier.rimsid59011-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers

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