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Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
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Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
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Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer

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Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer
Journal Article

Investigation of urinary volatile organic compounds as novel diagnostic and surveillance biomarkers of bladder cancer

2022
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Overview
BackgroundThe diagnosis and surveillance of urothelial bladder cancer (UBC) require cystoscopy. There is a need for biomarkers to reduce the frequency of cystoscopy in surveillance; urinary volatile organic compound (VOC) analysis could fulfil this role. This cross-sectional study compared the VOC profiles of patients with and without UBC, to investigate metabolomic signatures as biomarkers.MethodsUrine samples were collected from haematuria clinic patients undergoing diagnostic cystoscopy and UBC patients undergoing surveillance. Urinary headspace sampling utilised solid-phase microextraction and VOC analysis applied gas chromatography-mass spectrometry; the output underwent metabolomic analysis.ResultsThe median participant age was 70 years, 66.2% were male. Of the haematuria patients, 21 had a new UBC diagnosis, 125 had no cancer. In the surveillance group, 75 had recurrent UBC, 84 were recurrence-free. A distinctive VOC profile was observed in UBC patients compared with controls. Ten VOCs had statistically significant abundances useful to classify patients (false discovery rate range 1.9 × 10−7–2.8 × 10−2). Two prediction models were evaluated using internal validation. An eight-VOC diagnostic biomarker panel achieved AUROC 0.77 (sensitivity 0.71, specificity 0.72). A six-VOC surveillance biomarker panel obtained AUROC 0.80 (sensitivity 0.71 and specificity 0.80).ConclusionsUrinary VOC analysis could aid the diagnosis and surveillance of UBC.