47 64

Cited 0 times in

Prediction of High-Grade Clear Cell Renal Cell Carcinoma Based on Plasma mRNA Profiles in Patients With Localized Pathologic T1N0M0 Stage Disease

DC FieldValueLanguage
dc.contributor.author김종찬-
dc.contributor.author나군호-
dc.contributor.author박지수-
dc.contributor.author이승환-
dc.contributor.author장원식-
dc.contributor.author함원식-
dc.date.accessioned2020-06-17T00:53:07Z-
dc.date.available2020-06-17T00:53:07Z-
dc.date.issued2020-05-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/176168-
dc.description.abstractA high nuclear grade is crucial to predicting tumor recurrence and metastasis in clear cell renal cell carcinomas (ccRCCs). We aimed to compare the mRNA profiles of tumor tissues and preoperative plasma in patients with localized T1 stage ccRCCs, and to evaluate the potential of the plasma mRNA profile for predicting high-grade ccRCCs. Data from a prospective cohort (n = 140) were collected between November 2018 and November 2019. Frozen tumor tissues and plasma were used to measure PBRM1, BAP1, SET domain-containing 2 (SETD2), KDM5C, FOXC2, CLIP4, AQP1, DDX11, BAIAP2L1, and TMEM38B mRNA levels, and correlation with the Fuhrman grade was investigated. Multivariate logistic regression analysis revealed significant association between high-grade ccRCC and SETD2 and DDX11 mRNA levels in tissues (odds ratio (b) = 0.021, 95% confidence interval (CI): 0.001-0.466, p = 0.014; b = 6.116, 95% CI: 1.729-21.631, p = 0.005, respectively) and plasma (b = 0.028, 95% CI 0.007-0.119, p < 0.001; b = 1.496, 95% CI: 1.187-1.885, p = 0.001, respectively). High-grade ccRCC prediction models revealed areas under the curve of 0.997 and 0.971 and diagnostic accuracies of 97.86% and 92.86% for the frozen tissue and plasma, respectively. SETD2 and DDX11 mRNA can serve as non-invasive plasma biomarkers for predicting high-grade ccRCCs. Studies with long follow-ups are needed to validate the prognostic value of these biomarkers in ccRCCs.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI-
dc.relation.isPartOfCANCERS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titlePrediction of High-Grade Clear Cell Renal Cell Carcinoma Based on Plasma mRNA Profiles in Patients With Localized Pathologic T1N0M0 Stage Disease-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Urology (비뇨의학교실)-
dc.contributor.googleauthorJee Soo Park-
dc.contributor.googleauthorHyo Jung Lee-
dc.contributor.googleauthorAhmad Almujalhem-
dc.contributor.googleauthorHatem Hamed Althubiany-
dc.contributor.googleauthorAlqahatani Ali A-
dc.contributor.googleauthorWon Sik Jang-
dc.contributor.googleauthorJongchan Kim-
dc.contributor.googleauthorSeung Hwan Lee-
dc.contributor.googleauthorKoon Ho Rha-
dc.contributor.googleauthorWon Sik Ham-
dc.identifier.doi10.3390/cancers12051182-
dc.contributor.localIdA04541-
dc.contributor.localIdA01227-
dc.contributor.localIdA01227-
dc.contributor.localIdA05336-
dc.contributor.localIdA05336-
dc.contributor.localIdA02938-
dc.contributor.localIdA02938-
dc.contributor.localIdA05268-
dc.contributor.localIdA05268-
dc.contributor.localIdA04337-
dc.contributor.localIdA04337-
dc.relation.journalcodeJ03449-
dc.identifier.eissn2072-6694-
dc.identifier.pmid32392781-
dc.subject.keywordbiomarker-
dc.subject.keywordclear cell renal cell carcinoma-
dc.subject.keywordhigh-grade-
dc.subject.keywordmRNA profile-
dc.subject.keywordplasma-
dc.contributor.alternativeNameKim, Jong Chan-
dc.contributor.affiliatedAuthor김종찬-
dc.contributor.affiliatedAuthor나군호-
dc.contributor.affiliatedAuthor나군호-
dc.contributor.affiliatedAuthor박지수-
dc.contributor.affiliatedAuthor박지수-
dc.contributor.affiliatedAuthor이승환-
dc.contributor.affiliatedAuthor이승환-
dc.contributor.affiliatedAuthor장원식-
dc.contributor.affiliatedAuthor장원식-
dc.contributor.affiliatedAuthor함원식-
dc.contributor.affiliatedAuthor함원식-
dc.citation.volume12-
dc.citation.number5-
dc.citation.startPage1182-
dc.identifier.bibliographicCitationCANCERS, Vol.12(5) : 1182, 2020-05-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers

qrcode

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