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Use of nuclear magnetic resonance-based metabolomics in detecting drug resistance in cancer

期刊

BIOMARKERS IN MEDICINE
卷 3, 期 3, 页码 289-306

出版社

FUTURE MEDICINE LTD
DOI: 10.2217/BMM.09.15

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anticancer treatment; cancer biomarkers; choline metabolism; quantitative metabolomics; signal transduction inhibitor; Warburg effect

资金

  1. NIH [R21 CA108624, P30 CA046934]

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Cancer cells possess a highly unique metabolic phenotype, which is characterized by high glucose uptake, increased glycolytic activity, decreased mitochondrial activity, low bioenergetic and increased phospholipid turnover. These metabolic hallmarks can be readily assessed by metabolic technologies - either in vitro or in vivo - to monitor responsiveness and resistance to novel targeted drugs, where specific inhibition of cell proliferation (cytostatic effect) occurs rather than direct induction of cell death (cytotoxicity). Using modern analytical technologies in combination with statistical approaches, 'metabolomics', a global metabolic profile on patient samples can be established and validated for responders and nonresponders, providing additional metabolic end points. Discovered metabolic end points should be translated into noninvasive metabolic imaging protocols.

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