ArticlePloS one2015
Urinary Volatile Organic Compounds for the Detection of Prostate Cancer.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.
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Who cites it
73 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Urinary and cellular volatile organic compounds as biomarkers for urological cancers: a systematic review of GC-MS-based volatolomics.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Pooled it
- Insect Olfactory Receptor-Expressing Sensor Cells for Colorectal Cancer Diagnosis Using Urine Samples.Cancer medicine · 2026Article
- Article
- Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.Scientific reports · 2025Article
- A Novel Sample Preparation Method for GC-MS Analysis of Volatile Organic Compounds in Whole Blood for Veterinary Use.International journal of molecular sciences · 2025Article
- The biosensor using the target urine volatile organic compounds for detecting diabetic kidney disease.Scientific reports · 2025Article
- Volatile Organic Metabolites as Potential Biomarkers for Genitourinary Cancers: Review of the Applications and Detection Methods.Metabolites · 2025Review
- Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.PloS one · 2025Article
- The Potential Benefit of a Novel Urine Biosensor Platform for Lung Cancer Detection in the Decision-Making Process: From the Bench to the Bedside.Journal of clinical medicine · 2024Article
- The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- The Effects of Diet, Dietary Supplements, Drugs and Exercise on Physical, Diagnostic Values of Urine Characteristics.Nutrients · 2024Review
- Analysis of urinary volatile organic compounds for prostate cancer diagnosis: A systematic review.BJUI compass · 2024Review
- Urinary cancer detection by the target urine volatile organic compounds biosensor platform.Scientific reports · 2024Article
- Potential urinary volatile organic compounds as screening markers in cancer - a review.Frontiers in oncology · 2024Review
- Urinary fatty acid biomarkers for prostate cancer detection.PloS one · 2024Article
- Urinary volatile organic compounds in prostate cancer biopsy pathologic risk stratification using logistic regression and multivariate analysis models.American journal of cancer research · 2024Article
- Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer.Scientific reports · 2023Article
- The Olfaction Ability of Medical Detection Canine to Detect Prostate Cancer From Urine Samples: Progress Captured in Systematic Review and Meta-Analysis.World journal of oncology · 2023Article
- Article
13 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this work was to investigate volatile organic compounds (VOCs) emanating from urine samples to determine whether they can be used to classify samples into those from prostate cancer and non-cancer groups. Participants were men referred for a trans-rectal ultrasound-guided prostate biopsy because of an elevated prostate specific antigen (PSA) level or abnormal findings on digital rectal examination. Urine samples were collected from patients with prostate cancer (n = 59) and cancer-free controls (n = 43), on the day of their biopsy, prior to their procedure. VOCs from the headspace of basified urine samples were extracted using solid-phase micro-extraction and analysed by gas chromatography/mass spectrometry. Classifiers were developed using Random Forest (RF) and Linear Discriminant Analysis (LDA) classification techniques. PSA alone had an accuracy of 62-64% in these samples. A model based on 4 VOCs, 2,6-dimethyl-7-octen-2-ol, pentanal, 3-octanone, and 2-octanone, was marginally more accurate 63-65%. When combined, PSA level and these four VOCs had mean accuracies of 74% and 65%, using RF and LDA, respectively. With repeated double cross-validation, the mean accuracies fell to 71% and 65%, using RF and LDA, respectively. Results from VOC profiling of urine headspace are encouraging and suggest that there are other metabolomic avenues worth exploring which could help improve the stratification of men at risk of prostate cancer. This study also adds to our knowledge on the profile of compounds found in basified urine, from controls and cancer patients, which is useful information for future studies comparing the urine from patients with other disease states.
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