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Receptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm

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dc.contributor.author김현기-
dc.contributor.author김효송-
dc.contributor.author노성훈-
dc.contributor.author라선영-
dc.contributor.author이상길-
dc.contributor.author이용찬-
dc.contributor.author정재호-
dc.contributor.author허용민-
dc.contributor.author형우진-
dc.contributor.author박지수-
dc.contributor.author박철근-
dc.date.accessioned2017-10-26T08:05:34Z-
dc.date.available2017-10-26T08:05:34Z-
dc.date.issued2016-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152941-
dc.description.abstractAlthough targeted therapy for receptor tyrosine kinases (RTKs) of advanced gastric cancers (AGCs) has been in the spotlight, guidelines for the identification of RTK-amplified gastric cancers (RA-GCs) have not been established. In this study, we investigate clinicopathologic characteristics of RA-GCs and propose a screening algorithm for their identification. We performed immunohistochemistry (IHC) for MLH1, MSH2, PMS2, MSH6, key RTKs (EGFR, HER2, MET), and p53, in situ hybridization for Epstein-Barr virus encoding RNA, and silver in situ hybridization (SISH) for EGFR, HER2, and MET using tissue microarrays of 993 AGCs. On IHC, 157 (15.8%) 61, (6.15%), and 85 (8.56%) out of 993 cases scored 2+ or 3+ for EGFR, HER2, and MET, respectively. On SISH, 31.2% (49/157), 80.3% (49/61), and 30.6% (26/85) of 2+ or 3+ cases on IHC showed amplification of the corresponding genes. Of the 993 cases, 104 were classified as RA-GCs. RA-GC status correlated with older age (P < 0.001), differentiated histology (P = 0.001), intestinal or mixed type by Lauren classification (P < 0.001), lymphovascular invasion (P = 0.026), and mutant-pattern of p53 (P < 0.001). The cases were divided into four subgroups using two classification systems, putative molecular classification and histologic-molecular classification, based on Lauren classification, IHC, and SISH results. The histologic-molecular classification showed higher sensitivity for identification of RA-GCs and predicted patient prognosis better than the putative molecular classification. In conclusion, RA-GCs show unique clinicopathologic features. The proposed algorithm based on histologic-molecular classification can be applied to select candidates for genetic examination and targeted therapy.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/octet-stream-
dc.languageEnglish-
dc.publisherImpact Journals-
dc.relation.isPartOfONCOTARGET-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleReceptor tyrosine kinase amplified gastric cancer: Clinicopathologic characteristics and proposed screening algorithm-
dc.typeArticle-
dc.publisher.locationUnited States-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Pathology-
dc.contributor.googleauthorCheol Keun Park-
dc.contributor.googleauthorJi Soo Park-
dc.contributor.googleauthorHyo Song Kim-
dc.contributor.googleauthorSun Young Rha-
dc.contributor.googleauthorWoo Jin Hyung-
dc.contributor.googleauthorJae-Ho Cheong-
dc.contributor.googleauthorSung Hoon Noh-
dc.contributor.googleauthorSang Kil Lee-
dc.contributor.googleauthorYong Chan Lee-
dc.contributor.googleauthorYong-min Huh-
dc.contributor.googleauthorHyunki Kim-
dc.identifier.doi10.18632/oncotarget.12291-
dc.contributor.localIdA01202-
dc.contributor.localIdA01281-
dc.contributor.localIdA01316-
dc.contributor.localIdA02812-
dc.contributor.localIdA02988-
dc.contributor.localIdA03717-
dc.contributor.localIdA04359-
dc.contributor.localIdA04382-
dc.contributor.localIdA01108-
dc.relation.journalcodeJ02421-
dc.identifier.eissn1949-2553-
dc.identifier.pmid27765925-
dc.contributor.alternativeNameKim, Hyun Ki-
dc.contributor.alternativeNameKim, Hyo Song-
dc.contributor.alternativeNameNoh, Sung Hoon-
dc.contributor.alternativeNameRha, Sun Young-
dc.contributor.alternativeNameLee, Sang Kil-
dc.contributor.alternativeNameLee, Yong Chan-
dc.contributor.alternativeNameCheong, Jae Ho-
dc.contributor.alternativeNameHuh, Yong Min-
dc.contributor.alternativeNameHyung, Woo Jin-
dc.contributor.affiliatedAuthorKim, Hyo Song-
dc.contributor.affiliatedAuthorNoh, Sung Hoon-
dc.contributor.affiliatedAuthorRha, Sun Young-
dc.contributor.affiliatedAuthorLee, Sang Kil-
dc.contributor.affiliatedAuthorLee, Yong Chan-
dc.contributor.affiliatedAuthorCheong, Jae Ho-
dc.contributor.affiliatedAuthorHuh, Yong Min-
dc.contributor.affiliatedAuthorHyung, Woo Jin-
dc.contributor.affiliatedAuthorKim, Hyun Ki-
dc.citation.volume7-
dc.citation.number44-
dc.citation.startPage72099-
dc.citation.endPage72112-
dc.identifier.bibliographicCitationONCOTARGET, Vol.7(44) : 72099-72112, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid40562-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

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