Literature DB >> 18041668

NMR-based metabolomics: translational application and treatment of cancer.

Natalie J Serkova1, Jennifer L Spratlin, S Gail Eckhardt.   

Abstract

Cancer cells possess a highly unique metabolic phenotype which is characterized by high glucose uptake, increased glycolytic activity, decreased mitochondrial activity, low bioenergetic expenditure and increased phospholipid turnover. In addition to these general metabolic markers of malignancy, tissue-specific biochemistry has identified specific endogenous metabolites found in particular tumors types. These include N-acetyl aspartate in neuroblastoma, myo-inositol in gliomas and citrate in prostate cancer. Metabolic profiles can be readily assessed to monitor responsiveness and the development of resistance to novel targeted drugs, for example, where a cytostatic effect rather than cytotoxicity occurs. Using modern analytical technologies in combination with statistical approaches, a methodology termed 'metabolomics' has been developed. Metabolomics has been used to generate a global metabolic profile on patient samples, which can then be used to determine treatment response. This review describes existing NMR-based approaches for global metabolic profiling in tissue biopsies and body fluids and the use of non-invasive radiological techniques to assess metabolic biomarkers. In addition, studies on metabolic responses to novel targeted drugs, including tyrosine kinase inhibitors and metabolic modulators, are evaluated.

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Year:  2007        PMID: 18041668

Source DB:  PubMed          Journal:  Curr Opin Mol Ther        ISSN: 1464-8431


  32 in total

Review 1.  NMR-based Stable Isotope Resolved Metabolomics in systems biochemistry.

Authors:  Andrew N Lane; Teresa W-M Fan
Journal:  Arch Biochem Biophys       Date:  2017-03-02       Impact factor: 4.013

Review 2.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

3.  Prediction of therapeutic microRNA based on the human metabolic network.

Authors:  Ming Wu; Christina Chan
Journal:  Bioinformatics       Date:  2014-01-07       Impact factor: 6.937

4.  Metabolomic high-content nuclear magnetic resonance-based drug screening of a kinase inhibitor library.

Authors:  Stefano Tiziani; Yunyi Kang; Janet S Choi; William Roberts; Giovanni Paternostro
Journal:  Nat Commun       Date:  2011-11-22       Impact factor: 14.919

5.  Metabolomics: a novel approach to early and noninvasive prostate cancer detection.

Authors:  Matthew J Roberts; Horst J Schirra; Martin F Lavin; Robert A Gardiner
Journal:  Korean J Urol       Date:  2011-02-19

Review 6.  In silico models of cancer.

Authors:  Lucas B Edelman; James A Eddy; Nathan D Price
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Jul-Aug

Review 7.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

8.  Energy deprivation by silibinin in colorectal cancer cells: a double-edged sword targeting both apoptotic and autophagic machineries.

Authors:  Komal Raina; Chapla Agarwal; Ritambhara Wadhwa; Natalie J Serkova; Rajesh Agarwal
Journal:  Autophagy       Date:  2013-02-27       Impact factor: 16.016

Review 9.  Translational metabolomics in cancer research.

Authors:  Nathaniel W Snyder; Clementina Mesaros; Ian A Blair
Journal:  Biomark Med       Date:  2015-09-01       Impact factor: 2.851

10.  The role of metabolomics in osteoarthritis research.

Authors:  Samuel B Adams; Lori A Setton; Dana L Nettles
Journal:  J Am Acad Orthop Surg       Date:  2013-01       Impact factor: 3.020

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