274 247

Cited 3 times in

Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon

DC Field Value Language
dc.contributor.author민병소-
dc.date.accessioned2018-07-20T08:18:11Z-
dc.date.available2018-07-20T08:18:11Z-
dc.date.issued2017-
dc.identifier.issn2288-6575-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/161069-
dc.description.abstractPURPOSE: To evaluate whether the Breast Imaging Reporting and Data System (BI-RADS) MRI lexicon could reflect the genomic information of breast cancers and to suggest intuitive imaging features as biomarkers. METHODS: Matched breast MRI data from The Cancer Imaging Archive and gene expression profile from The Cancer Genome Atlas of 70 invasive breast cancers were analyzed. Magnetic resonance images were reviewed according to the BI-RADS MRI lexicon of mass morphology. The cancers were divided into 2 groups of gene clustering by gene set enrichment an alysis. Clinicopathologic and imaging characteristics were compared between the 2 groups. RESULTS: The luminal subtype was predominant in the group 1 gene set and the triple-negative subtype was predominant in the group 2 gene set (55 of 56, 98.2% vs. 9 of 14, 64.3%). Internal enhancement descriptors were different between the 2 groups; heterogeneity was most frequent in group 1 (27 of 56, 48.2%) and rim enhancement was dominant in group 2 (10 of 14, 71.4%). In group 1, the gene sets related to mammary gland development were overexpressed whereas the gene sets related to mitotic cell division were overexpressed in group 2. CONCLUSION: We identified intuitive imaging features of breast MRI associated with distinct gene expression profiles using the standard imaging variables of BI-RADS. The internal enhancement pattern on MRI might reflect specific gene expression profiles of breast cancers, which can be recognized by visual distinction.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Surgical Society-
dc.relation.isPartOfANNALS OF SURGICAL TREATMENT AND RESEARCH-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleAssociations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Surgery-
dc.contributor.googleauthorGa Ram Kim-
dc.contributor.googleauthorYou Jin Ku-
dc.contributor.googleauthorSoon Gu Cho-
dc.contributor.googleauthorSei Joong Kim-
dc.contributor.googleauthorByung Soh Min-
dc.identifier.doi10.4174/astr.2017.93.1.18-
dc.contributor.localIdA01402-
dc.relation.journalcodeJ00180-
dc.identifier.eissn2288-6796-
dc.identifier.pmid28706887-
dc.subject.keywordBreast neoplasms-
dc.subject.keywordGene expression profiling-
dc.subject.keywordMagnetic resonance imaging-
dc.contributor.alternativeNameMin, Byung Soh-
dc.contributor.affiliatedAuthorMin, Byung Soh-
dc.citation.volume93-
dc.citation.number1-
dc.citation.startPage18-
dc.citation.endPage26-
dc.identifier.bibliographicCitationANNALS OF SURGICAL TREATMENT AND RESEARCH, Vol.93(1) : 18-26, 2017-
dc.identifier.rimsid60959-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers

qrcode

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