Serum amino acid profiles and their alterations in colorectal cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-09-16

AUTHORS

Alexander Benedikt Leichtle, Jean-Marc Nuoffer, Uta Ceglarek, Julia Kase, Tim Conrad, Helmut Witzigmann, Joachim Thiery, Georg Martin Fiedler

ABSTRACT

Mass spectrometry-based serum metabolic profiling is a promising tool to analyse complex cancer associated metabolic alterations, which may broaden our pathophysiological understanding of the disease and may function as a source of new cancer-associated biomarkers. Highly standardized serum samples of patients suffering from colon cancer (n = 59) and controls (n = 58) were collected at the University Hospital Leipzig. We based our investigations on amino acid screening profiles using electrospray tandem-mass spectrometry. Metabolic profiles were evaluated using the Analyst 1.4.2 software. General, comparative and equivalence statistics were performed by R 2.12.2. 11 out of 26 serum amino acid concentrations were significantly different between colorectal cancer patients and healthy controls. We found a model including CEA, glycine, and tyrosine as best discriminating and superior to CEA alone with an AUROC of 0.878 (95% CI 0.815–0.941). Our serum metabolic profiling in colon cancer revealed multiple significant disease-associated alterations in the amino acid profile with promising diagnostic power. Further large-scale studies are necessary to elucidate the potential of our model also to discriminate between cancer and potential differential diagnoses. In conclusion, serum glycine and tyrosine in combination with CEA are superior to CEA for the discrimination between colorectal cancer patients and controls. More... »

PAGES

643-653

References to SciGraph publications

  • 2002-06. Fuzzy logic-based tumor-marker profiles improved sensitivity in the diagnosis of lung cancer in INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY
  • 2011-03-17. pROC: an open-source package for R and S+ to analyze and compare ROC curves in BMC BIOINFORMATICS
  • 2011-02-25. L-arginine and glycine supplementation in the repair of the irradiated colonic wall of rats in INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
  • 2002. Modern Applied Statistics with S in NONE
  • 2010-10-16. The role of metabolites and metabolomics in clinically applicable biomarkers of disease in ARCHIVES OF TOXICOLOGY
  • 2010-02-15. Reduced levels of hydroxylated, polyunsaturated ultra long-chain fatty acids in the serum of colorectal cancer patients: implications for early screening and detection in BMC MEDICINE
  • 2009-04-02. A pilot study of gas chromatograph/mass spectrometry-based serum metabolic profiling of colorectal cancer after operation in MOLECULAR BIOLOGY REPORTS
  • 2008-09-18. Metabolite profiling of human colon carcinoma – deregulation of TCA cycle and amino acid turnover in MOLECULAR CANCER
  • 2010-11-11. Preanalytical standardization of amino acid and acylcarnitine metabolite profiling in human blood using tandem mass spectrometry in METABOLOMICS
  • 2010-09-21. Understanding Equivalence and Noninferiority Testing in JOURNAL OF GENERAL INTERNAL MEDICINE
  • 2007-08-17. The metabolomics standards initiative (MSI) in METABOLOMICS
  • 2010-02-13. Metabolomic screening and star pattern recognition by urinary amino acid profile analysis from bladder cancer patients in METABOLOMICS
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    http://scigraph.springernature.com/pub.10.1007/s11306-011-0357-5

    DOI

    http://dx.doi.org/10.1007/s11306-011-0357-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1038023758

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22833708


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