Metabolite profiling of human colon carcinoma - Deregulation of TCA cycle and amino acid turnover

Molecular Cancer

Volumn 7, Issue , 2008, Pages

  Denkert, Carsten ^a   Budczies, Jan ^a,b   Weichert, Wilko ^a   Wohlgemuth, Gert ^c   Scholz, Martin ^c   Kind, Tobias ^c   Niesporek, Silvia ^a   Noske, Aurelia ^a   Buckendahl, Anna ^a   Dietel, Manfred ^a   Fiehn, Oliver ^c  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^b Provitro GmbH   (Germany)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; LIPID; PURINE DERIVATIVE; PYRIMIDINE DERIVATIVE; TRICARBOXYLIC ACID;

ARTICLE; CLINICAL ARTICLE; COLON CANCER; COLON CARCINOMA; COLON MUCOSA; COLORECTAL CANCER; CONTROLLED STUDY; DOWN REGULATION; ENZYME METABOLISM; GAS CHROMATOGRAPHY; GENE EXPRESSION PROFILING; GENETIC DATABASE; HUMAN; HUMAN TISSUE; METABOLOMICS; PHENOTYPE; PRINCIPAL COMPONENT ANALYSIS; TIME OF FLIGHT MASS SPECTROMETRY; UREA CYCLE; BIOPSY; CITRIC ACID CYCLE; CLUSTER ANALYSIS; COLON TUMOR; DATA BASE; METABOLISM; MULTIGENE FAMILY; PATHOLOGY;

AMINO ACIDS; BIOPSY; CHROMATOGRAPHY, GAS; CITRIC ACID CYCLE; CLUSTER ANALYSIS; COLONIC NEOPLASMS; DATABASE MANAGEMENT SYSTEMS; HUMANS; MULTIGENE FAMILY;

EID: 54349088296     PISSN: None     EISSN: 14764598     Source Type: Journal    
DOI: 10.1186/1476-4598-7-72     Document Type: Article

References (29)

1. Jemal A Siegel R Ward E Murray T Xu J Thun MJ Cancer statistics, 2007 CA Cancer J Clin 2007, 57:43-66. 17237035
2. Cousins RJ Nutritional regulation of gene expression Am J Med 1999, 106:20S-23S. 10089110
3. Jump DB Fatty acid regulation of gene transcription Crit Rev Clin Lab Sci 2004, 41:41-78. 15077723
4. Mariadason JM Corner GA Augenlicht LH Genetic reprogramming in pathways of colonic cell maturation induced by short chain fatty acids: comparison with trichostatin A, sulindac, and curcumin and implications for chemoprevention of colon cancer Cancer Res 2000, 60:4561-72. 10969808
5. Gunter MJ Leitzmann MF Obesity and colorectal cancer: Epidemiology, mechanisms and candidate genes J Nutr Biochem 2006, 17:145-56. 16426829
6. Mason JB Diet, folate, and colon cancer Curr Opin Gastroenterol 2002, 18:229-34. 17033292
7. Bonnet S Archer SL Allalunis-Turner J Haromy A Beaulieu C Thompson R Lee CT Lopaschuk GD Puttagunta L Bonnet S Harry G Hashimoto K Porter CJ Andrade MA Thebaud B Michelakis ED A mitochondria-K+ channel axis is suppressed in cancer and its normalization promotes apoptosis and inhibits cancer growth Cancer Cell 2007, 11:37-51. 17222789
8. Fiehn O Metabolomics - the link between genotypes and phenotypes Plant Mol Biol 2002, 48:155-71. 11860207
9. Bino RJ Hall RD Fiehn O Kopka J Saito K Draper J Nikolau BJ Mendes P Roessner-Tunali U Beale MH Potential of metabolomics as a functional genomics tool Trends Plant Sci 2004, 9:418-25. 15337491
10. Oliver SG Functional genomics: Lessons from yeast Phil Trans R Soc Lond B 2002, 357:17-23. 11839178 1692912
11. Denkert C Budczies J Kind T Weichert W Tablack P Sehouli J Niesporek S Konsgen D Dietel M Fiehn O Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors Cancer Res 2006, 66:10795-804. 17108116
12. Catchpole GS Beckmann M Enot DP Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops Proc Natl Acad Sci USA 2005, 102:14458-62. 1242293 16186495
13. Fiehn O Kopka J Dormann P Altmann T Trethewey RN Willmitzer L Metabolite profiling for plant functional genomics Nat Biotechnol 2000, 18:1157-61. 11062433
14. Griffin JL Shockcor JP Metabolic profiles of cancer cells Nature reviews cancer 2004, 4:551-561. 15229480
15. Kyoto Encyclopedia of Genes and Genomes (KEGG) http://www.genome.ad.jp/ kegg/
16. Scholz M Fiehn O SetupX - A Public Study Design Database for Metabolomic Projects Pacific Symp Biocomp 2007, 12:169-180.
17. R Development Core Team R: A language and environment for statistical computing (R Foundation for Statistical Computing, Vienna, Austria) 2005. http://www.R-project.org ISBN 3-900051-07-0
18. Fan RE Chen PH Lin CJ Working set selection using the second order information for training SVM Journal of Machine Learning Research 2005, 6:1889-1918.
19. Venables WN Ripley BD Modern Applied Statistics with S Springer Fourth 2002.
20. Wessels LF Reinders MJ Hart AA Veenman CJ Dai H He YD van't Veer LJ protocol for building and evaluating predictors of disease state based on microarray data Bioinformatics 2005, 21:3755-62. 15817694
21. Usadel B Nagel A Thimm O Redestig H Blaesing OE Palacios-Rojas N Selbig J Hannemann J Piques MC Steinhauser D Scheible WR Gibon Y Morcuende R Weicht D Meyer S Stitt M Extension of the visualization tool MapMan to allow statistical analysis of arrays, display of corresponding genes, and comparison with known responses Plant Physio 2005, 138:1195-204. 16009995 1176394
22. Kose F Weckwerth W Linke T Fiehn O Visualizing plant metabolomic correlation networks using clique-metabolite matrices Bioinformatics 2001, 17:1198-208. 11751228
23. Hlubek F Brabletz T Budczies J Pfeiffer S Jung A Kirchner T Heterogeneous expression of Wnt/beta-catenin target genes within colorectal cancer Int J Cancer 121(9):1941-8. 2007 Nov 1. 17631641
24. Warburg O Über den Stoffwechsel der Tumoren London: Constable 1930.
25. Okada A Takehara H Yoshida K Nishi M Miyake H Kita Y Komi N Increased aspartate and glutamate levels in both gastric and colon cancer tissues Tokushima J Exp Med 1993, 40:19-25. 8105561
26. Kleinrok Z Matuszek M Jesipowicz J Matuszek B Opolski A Radzikowski C GABA content and GAD activity in colon tumors taken from patients with colon cancer or from xenografted human colon cancer cells growing as s.c. tumors in athymic nu/nu mice J Physiol Pharmacol 1998, 49:303-10. 9670113
27. Pelicano H Martin DS Xu RH Huang P Glycolysis inhibition for anticancer treatment Oncogene 2006, 25:4633-46. 16892078
28. Pan JG Mak TW Metabolic targeting as an anticancer strategy: Dawn of a new era? Sci STKE 2007, 381:14.
29. Michiels S Koscielny S Hill C Prediction of cancer outcome with microarrays: A multiple random validation strategy Lancet 2005, 365:488-92. 15705458