Detailed Information

Cited 10 time in webofscience Cited 11 time in scopus
Metadata Downloads

Genomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset

Full metadata record
DC FieldValueLanguage
dc.contributor.authorHong, Jin Hwa-
dc.contributor.authorCho, Hyun Woong-
dc.contributor.authorOuh, Yung-Taek-
dc.contributor.authorLee, Jae Kwan-
dc.contributor.authorChun, Yikyeong-
dc.contributor.authorGim, Jeong-An-
dc.date.accessioned2022-05-24T02:40:18Z-
dc.date.available2022-05-24T02:40:18Z-
dc.date.issued2022-05-
dc.identifier.issn2005-0380-
dc.identifier.issn2005-0399-
dc.identifier.urihttps://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/60895-
dc.description.abstractObjective Recent studies have detailed the genomic landscape of endometrial cancer (EC); however, no study has focused on genetic alterations in advanced EC. We performed genomic profiling of patients with advanced EC using targeted next-generation sequencing (NGS). Methods Archival tissue samples from 21 patients diagnosed with stage III and IV EC were obtained and subjected to NGS. Our data and the cancer genome atlas dataset were combined, and somatic mutation patterns were analyzed and compared according to the stage and histological type. Additionally, survival effects of specific mutated genes were analyzed. Results Somatic mutation patterns of 38 genes were identified in 263 EC samples, and the most commonly mutated genes were PTEN and PIK3CA. PTEN was the most common in endometrioid histology, while PPP2R1A was the most commonly mutated gene in serous histology. The mutation rates of PPP2R1A and TP53 were significantly higher in advanced EC sample than in stage I samples (22.5% vs. 4.3% [p<0.001] and 8.4% vs. 1.4% [p=0.021], respectively). Survival analysis of the total population and endometrioid subgroup revealed that patients with PPP2R1A mutations had significantly shorter survival than did those without mutations (p=0.005 and p<0.001, respectively). Conclusion PPP2R1A mutations might have a role in dismal prognosis of advanced EC.-
dc.format.extent15-
dc.language영어-
dc.language.isoENG-
dc.publisher대한부인종양학회-
dc.titleGenomic landscape of advanced endometrial cancer analyzed by targeted next-generation sequencing and the cancer genome atlas (TCGA) dataset-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3802/jgo.2022.33.e29-
dc.identifier.scopusid2-s2.0-85128801451-
dc.identifier.wosid000790361300003-
dc.identifier.bibliographicCitationJournal of Gynecologic Oncology, v.33, no.3, pp 1 - 15-
dc.citation.titleJournal of Gynecologic Oncology-
dc.citation.volume33-
dc.citation.number3-
dc.citation.startPage1-
dc.citation.endPage15-
dc.type.docTypeArticle-
dc.identifier.kciidART002857996-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaOncology-
dc.relation.journalResearchAreaObstetrics & Gynecology-
dc.relation.journalWebOfScienceCategoryOncology-
dc.relation.journalWebOfScienceCategoryObstetrics & Gynecology-
dc.subject.keywordPlusPHASE-II-
dc.subject.keywordPlusRECURRENT-
dc.subject.keywordPlusEVEROLIMUS-
dc.subject.keywordPlusINHIBITOR-
dc.subject.keywordPlusMUTATIONS-
dc.subject.keywordPlusONCOLOGY-
dc.subject.keywordPlusCOMMON-
dc.subject.keywordPlusCELLS-
dc.subject.keywordPlusTRIAL-
dc.subject.keywordPlusPTEN-
dc.subject.keywordAuthorEndometrial Cancer-
dc.subject.keywordAuthorSurvival Analysis-
dc.subject.keywordAuthorPPP2R1A-
dc.subject.keywordAuthorTP53-
Files in This Item
There are no files associated with this item.
Appears in
Collections
5. Others > Medical Science Research Management Center > 1. Journal Articles
2. Clinical Science > Department of Pathology > 1. Journal Articles
2. Clinical Science > Department of Obstetrics and Gynecology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chun, Yi kyeong photo

Chun, Yi kyeong
Guro Hospital (Department of Pathology, Guro Hospital)
Read more

Altmetrics

Total Views & Downloads

BROWSE