Literature DB >> 15663322

The promise of metabolomics in cancer molecular therapeutics.

Teresa W M Fan1, Andrew N Lane, Richard M Higashi.   

Abstract

A systematic elucidation of cancer cell dysfunction and therapeutic mechanisms seems within reach with modern functional genomics and proteomics tools. However, for this potential to be realized, the metabolic consequences of gene expression and protein activity must be understood. 'Metabolomics' is currently a major missing component. It differs from classical metabolic studies by its greater breadth, depth and speed, enabled by the huge advances in analytical instrumentation (especially nuclear magnetic resonance and mass spectrometry) over the past two decades. Multiple metabolic pathways and networks can now be traced by the flow of atoms through metabolites, known as isotopomer analyses. Thus, metabolomics demands both high-throughput and high-information content analyses, and interpretation: the latter is currently a bottleneck. There are currently very few metabolomic studies in cancer therapeutics, despite this great need and potential.

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Mesh:

Year:  2004        PMID: 15663322

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


  20 in total

Review 1.  Stable isotope-resolved metabolomics and applications for drug development.

Authors:  Teresa W-M Fan; Pawel K Lorkiewicz; Katherine Sellers; Hunter N B Moseley; Richard M Higashi; Andrew N Lane
Journal:  Pharmacol Ther       Date:  2011-12-23       Impact factor: 12.310

Review 2.  Recent developments in the clinical pharmacology of classical cytotoxic chemotherapy.

Authors:  Alan V Boddy
Journal:  Br J Clin Pharmacol       Date:  2006-07       Impact factor: 4.335

3.  Stable isotope-labeled tracers for metabolic pathway elucidation by GC-MS and FT-MS.

Authors:  Richard M Higashi; Teresa W-M Fan; Pawel K Lorkiewicz; Hunter N B Moseley; Andrew N Lane
Journal:  Methods Mol Biol       Date:  2014

Review 4.  The Fanconi anemia pathway: repairing the link between DNA damage and squamous cell carcinoma.

Authors:  Lindsey E Romick-Rosendale; Vivian W Y Lui; Jennifer R Grandis; Susanne I Wells
Journal:  Mutat Res       Date:  2013-01-17       Impact factor: 2.433

5.  Isotopomer analysis of lipid biosynthesis by high resolution mass spectrometry and NMR.

Authors:  Andrew N Lane; Teresa W-M Fan; Zhengzhi Xie; Hunter N B Moseley; Richard M Higashi
Journal:  Anal Chim Acta       Date:  2009-08-27       Impact factor: 6.558

Review 6.  Prospects for clinical cancer metabolomics using stable isotope tracers.

Authors:  Andrew N Lane; Teresa W-M Fan; Richard M Higashi; Jinlian Tan; Michael Bousamra; Donald M Miller
Journal:  Exp Mol Pathol       Date:  2009-01-20       Impact factor: 3.362

7.  Integration of metabolomics and transcriptomics revealed a fatty acid network exerting growth inhibitory effects in human pancreatic cancer.

Authors:  Geng Zhang; Peijun He; Hanson Tan; Anuradha Budhu; Jochen Gaedcke; B Michael Ghadimi; Thomas Ried; Harris G Yfantis; Dong H Lee; Anirban Maitra; Nader Hanna; H Richard Alexander; S Perwez Hussain
Journal:  Clin Cancer Res       Date:  2013-08-05       Impact factor: 12.531

8.  Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer.

Authors:  Ewy A Mathé; Andrew D Patterson; Majda Haznadar; Soumen K Manna; Kristopher W Krausz; Elise D Bowman; Peter G Shields; Jeffrey R Idle; Philip B Smith; Katsuhiro Anami; Dickran G Kazandjian; Emmanuel Hatzakis; Frank J Gonzalez; Curtis C Harris
Journal:  Cancer Res       Date:  2014-04-15       Impact factor: 12.701

9.  Towards high-throughput metabolomics using ultrahigh-field Fourier transform ion cyclotron resonance mass spectrometry.

Authors:  Jun Han; Ryan M Danell; Jayanti R Patel; Dmitry R Gumerov; Cameron O Scarlett; J Paul Speir; Carol E Parker; Ivan Rusyn; Steven Zeisel; Christoph H Borchers
Journal:  Metabolomics       Date:  2008-06       Impact factor: 4.290

10.  Error Analysis and Propagation in Metabolomics Data Analysis.

Authors:  Hunter N B Moseley
Journal:  Comput Struct Biotechnol J       Date:  2013-01-01       Impact factor: 7.271

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