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Cited 12 time in webofscience Cited 10 time in scopus
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Prognostic significance of high metabolic activity in breast cancer: PET signature in breast cancer

Authors
Kang, SangheeKim, Eui HyunHwang, Jun-EulShin, Ji-HyunJeong, Yun SeongYim, Sun YoungJoo, Eun WookEun, Young GyuLee, Dong JinSohn, Bo HwaLee, Sung HwanLim, BoraLee, Ju-Seog
Issue Date
26-Mar-2019
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Keywords
Breast cancer; F-18-lluorodeoxy-glucose; MYC; Positron emission tomography; TBX2
Citation
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, v.511, no.1, pp.185 - 191
Indexed
SCIE
SCOPUS
Journal Title
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
Volume
511
Number
1
Start Page
185
End Page
191
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/2262
DOI
10.1016/j.bbrc.2019.02.035
ISSN
0006-291X
Abstract
High metabolic activity, reflected in increased glucose uptake, is one of the hallmarks of many cancers including breast cancer. However, not all cancers avidly take up glucose, suggesting heterogeneity in their metabolic demand. Thus, we aim to generate a genomic signature of glucose hypermetabolism in breast cancer and examine its clinical relevance. To identify genes significantly associated with glucose uptake, gene expression data were analyzed together with the standardized uptake values (SUVmax) of F-18-fluorodeoxy-glucose on positron emission tomography (PET) for 11 breast cancers. The resulting PET signature was evaluated for prognostic significance in four large independent patient cohorts (n = 5417). Potential upstream regulators accountable for the high glucose uptake were identified by gene network analysis. A PET signature of 242 genes was significantly correlated with SUVmax in breast cancer. In all four cohorts, high PET signature was significantly associated with poorer prognosis. The prognostic value of this PET signature was further supported by Cox regression analyses (hazard ratio 1.7, confidential interval 1.48-2.02; P < 0.001). The PET signature was also strongly correlated with previously established prognostic genomic signatures such as PAM50, Oncotype DX, and NKI. Gene network analyses suggested that MYC and TBX2 were the most significant upstream transcription factors in the breast cancers with high glucose uptake. A PET signature reflecting high glucose uptake is a novel independent prognostic factor in breast cancer. MYC and TBX2 are potential regulators of glucose uptake. (C) 2019 Elsevier Inc. All rights reserved.
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Kang, Sang hee
구로병원 (Department of Colon and Rectal Surgery, Guro Hospital)
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