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Magnetic resonance metabolic profiling of estrogen receptor-positive breast cancer: correlation with currently used molecular markers

Authors
 Ji Soo Choi  ;  Dahye Yoon  ;  Ja Seung Koo  ;  Siwon Kim  ;  Vivian Youngjean Park  ;  Eun-Kyung Kim  ;  Suhkmann Kim  ;  Min Jung Kim 
Citation
 Oncotarget, Vol.8(38) : 63405-63416, 2017 
Journal Title
 Oncotarget 
Issue Date
2017
Keywords
ER-positive ; HR-MAS MRS (high-resolution magic angle spinning magnetic resonance spectroscopy) ; biomarker ; breast cancer ; luminal
Abstract
Estrogen receptor (ER)-positive breast cancers overall have a good prognosis, however, some patients suffer relapses and do not respond to endocrine therapy. The purpose of this study was to determine whether there are any correlations between high-resolution magic angle spinning (HR-MAS) magnetic resonance spectroscopy (MRS) metabolic profiles of core needle biopsy (CNB) specimens and the molecular markers currently used in patients with ER-positive breast cancers. The metabolic profiling of CNB samples from 62 ER-positive cancers was performed by HR-MAS MRS. Metabolic profiles were compared according to human epidermal growth factor receptor 2 (HER2) and Ki-67 status, and luminal type, using the Mann-Whitney test. Multivariate analysis was performed with orthogonal projections to latent structure-discriminant analysis (OPLS-DA). In univariate analysis, the HER2-positive group was shown to have higher levels of glycine and glutamate, compared to the HER2-negative group (P<0.01, and P <0.01, respectively). The high Ki-67 group showed higher levels of glutamate than the low Ki-67 group without statistical significance. Luminal B cancers showed higher levels of glycine (P=0.01) than luminal A cancers. In multivariate analysis, the OPLS-DA models built with HR-MAS MR metabolic profiles showed visible discrimination between the subgroups according to HER2 and Ki-67 status, and luminal type. This study showed that the metabolic profiles of CNB samples assessed by HR-MAS MRS can be used to detect potential prognostic biomarkers as well as to understand the difference in metabolic mechanism among subtypes of ER-positive breast cancer.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/161019
DOI
10.18632/oncotarget.18822
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실)
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실)
Yonsei Authors
구자승(Koo, Ja Seung) ; 김민정(Kim, Min Jung) ; 김은경(Kim, Eun-Kyung) ; 박영진(Park, Vivian Youngjean)
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