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

Cauchi, M; Weber, C. M.; Bolt, B. J.; Spratt, P. B.; Bessant, C.; Turner, D. C.; Willis, C. M.; Britton, L. E.; Turner, C. and Morgan, G. (2016). Evaluation of gas chromatography mass spectrometry and pattern recognition for the identification of bladder cancer from urine headspace. Analytical Methods, 8(20) pp. 4037–4046.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1039/c6ay00400h
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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.

Item Type: Journal Item
Copyright Holders: 2016 The Royal Society of Chemistry
ISSN: 1759-9679
Keywords: GC-MS; volatile metabolomics; bladder cancer; pattern recognition; VOCs
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Life, Health and Chemical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Interdisciplinary Research Centre: Biomedical Research Network (BRN)
Centre for Earth, Planetary, Space and Astronomical Research (CEPSAR)
Innovation, Knowledge & Development research centre (IKD)
Item ID: 46316
Depositing User: Claire Turner
Date Deposited: 13 May 2016 10:01
Last Modified: 26 May 2017 12:19
URI: http://oro.open.ac.uk/id/eprint/46316
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