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Prognostic Significance of O -GlcNAc and PKM2 in Hormone Receptor-Positive and HER2-Nonenriched Breast Cancer.

Authors :
Kuo, Wen-Ling
Tseng, Lin-Lu
Chang, Che-Chang
Chen, Chih-Jung
Cheng, Mei-Ling
Cheng, Hsin-Hung
Wu, Meng-Jen
Chen, Yu-Lun
Chang, Ruei-Ting
Tang, Hsiang-Yu
Hsu, Yong-Chen
Lin, Wen-Jye
Kao, Cheng-Yuan
Hsieh, Wen-Ping
Kung, Hsing-Jien
Wang, Wen-Ching
Source :
Diagnostics (2075-4418); Aug2021, Vol. 11 Issue 8, p1460, 1p
Publication Year :
2021

Abstract

Predictive metabolic biomarkers for the recurrent luminal breast cancer (BC) with hormone receptor (HR)-positive and human epidermal growth factor receptor type 2 (HER2)-negative are lacking. High levels of O-GlcNAcylation (O-GlcNAc) and pyruvate kinase isoenzyme M2 (PKM2) are associated with malignancy in BC; however, the association with the recurrence risk remains unclear. We first conduct survival analysis by using the METABRIC dataset to assess the correlation of PKM2 expression with BC clinical outcomes. Next, patients with HR<superscript>+</superscript>/HER2- luminal BC were recruited for PKM2/O-GlcNAc testing. Logistic regression and receiver operating characteristic curve analysis were performed to evaluate the 10-year DFS predicted outcome. Survival analysis of the METABRIC dataset revealed that high expression of PKM2 was significantly associated with worse overall survival in luminal BC. The high expression of O-GlcNAc or PKM2 was a significant independent marker for poor 10-year DFS using immunohistochemical analysis. The PKM2 or O-GlcNAc status was a significant predictor of DFS, with the combination of PKM2–O-GlcNAc status and T stage greatly enhancing the predictive outcome potential. In summary, O-GlcNAc, PKM2, and T stage serve as good prognostic discriminators in HR<superscript>+</superscript>/HER2<superscript>−</superscript> luminal BC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
8
Database :
Complementary Index
Journal :
Diagnostics (2075-4418)
Publication Type :
Academic Journal
Accession number :
152102688
Full Text :
https://doi.org/10.3390/diagnostics11081460