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Issue 20, 2016
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Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace

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Abstract

Previous studies have indicated that volatile organic compounds specific to bladder cancer may exist in urine headspace, raising the possibility that they may be of diagnostic value for this particular cancer. To further examine this hypothesis, urine samples were collected from patients diagnosed with either bladder cancer or a non-cancerous urological disease/infection, and from healthy volunteers, from which the volatile metabolomes were analysed using gas chromatography mass spectrometry. The acquired data were subjected to a specifically designed pattern recognition algorithm, involving cross-model validation. The best diagnostic performance, achieved with independent test data provided by healthy volunteers and bladder cancer patients, was 89% overall accuracy (90% sensitivity and 88% specificity). Permutation tests showed that these were statistically significant, providing further evidence of the potential for volatile biomarkers to form the basis of a non-invasive diagnostic technique.

Graphical abstract: Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace

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Publication details

The article was received on 09 Feb 2016, accepted on 01 May 2016 and first published on 03 May 2016


Article type: Paper
DOI: 10.1039/C6AY00400H
Anal. Methods, 2016,8, 4037-4046
  • Open access: Creative Commons BY license
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    Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace

    M. Cauchi, C. M. Weber, B. J. Bolt, P. B. Spratt, C. Bessant, D. C. Turner, C. M. Willis, L. E. Britton, C. Turner and G. Morgan, Anal. Methods, 2016, 8, 4037
    DOI: 10.1039/C6AY00400H

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