EMT-induced metabolite signature identifies poor clinical outcome

被引:43
作者
Bhowmik, Salil Kumar [1 ,2 ,3 ]
Ramirez-Pena, Esmeralda [4 ]
Arnold, James Michael [1 ,2 ,3 ]
Putluri, Vasanta [1 ,2 ,3 ]
Sphyris, Nathalie [4 ]
Michailidis, George [5 ]
Putluri, Nagireddy [1 ,2 ,3 ]
Ambs, Stefan [6 ]
Sreekumar, Arun [1 ,2 ,3 ]
Mani, Sendurai A. [4 ]
机构
[1] Baylor Coll Med, Dept Mol & Cell Biol, Houston, TX 77030 USA
[2] Baylor Coll Med, Verna & Marrs Mclean Dept Biochem, Houston, TX 77030 USA
[3] Baylor Coll Med, Alkek Ctr Mol Discovery, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Translat Mol Pathol, Houston, TX 77030 USA
[5] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
[6] NCI, Human Carcinogenesis Lab, CCR, NIH, Bethesda, MD 20892 USA
基金
美国国家科学基金会;
关键词
EMT; breast cancer; metabolism; metabolic reprogramming; LC-MS metabolomics; EPITHELIAL-MESENCHYMAL TRANSITION; EXPRESSION; GENE; ACCUMULATION; METABOLOMICS; SURVIVAL; PATHWAY; CELLS;
D O I
10.18632/oncotarget.4765
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Metabolic reprogramming is a hallmark of cancer. Epithelial-mesenchymal transition (EMT) induces cancer stem cell (CSC) characteristics and promotes tumor invasiveness; however relatively little is known about the metabolic reprogramming in EMT. Here we show that breast epithelial cells undergo metabolic reprogramming following EMT. Relative to control, cell lines expressing EMT transcription factors show >= 1.5-fold accumulation of glutamine, glutamate, beta-alanine and glycylleucine as well as >= 1.5-fold reduction of phosphoenolpyruvate, urate, and deoxycarnitine. Moreover, these metabolic alterations were found to be predictive of overall survival (hazard ratio = 2.3 (95% confidence interval: 1.31-4.2), logrank p-value = 0.03) and define breast cancer molecular subtypes. EMT-associated metabolites are primarily composed of anapleurotic precursors, suggesting that cells undergoing EMT have a shift in energy production. In summary, we describe a unique panel of metabolites associated with EMT and demonstrate that these metabolites have the potential for predicting clinical and biological characteristics associated with patient survival.
引用
收藏
页码:42651 / 42660
页数:10
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