ArticleScientific reports2023
Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Urine volatile organic compounds (VOCs) combined with machine learning algorithm in the diagnosis of gallstones with cholecystitis.Scientific reports · 2026Article
- Urinary Volatilomic Signatures for Non-Invasive Detection of Lung Cancer: A HS-SPME/GC-MS Proof-of-Concept Study.International journal of molecular sciences · 2026Article
- Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer.Scientific reports · 2025Article
- Online monitoring and stable isotope tracing of cancer associated volatiles in murine model captures tumor associated markers in vivo.Analytica chimica acta · 2025Article
- Headspace Injection Method for Intermittent Sampling and Profiling Analyses of Volatile Organic Compounds Using Dielectric Barrier Discharge Ionization (DBDI).Journal of the American Society for Mass Spectrometry · 2025Article
- Non-Invasive Detection of Tumors by Volatile Organic Compounds in Urine.Biomedicines · 2025Review
- Harnessing serum VOCs and machine learning for the early detection of MAFLD.Frontiers in endocrinology · 2025Article
- The detection of serum-volatile organic compounds in the diagnostics of hepatocellular carcinoma using gas chromatography-ion mobility spectrometry.Frontiers in chemistry · 2025Article
- Analysis of the Urine Volatilome of COVID-19 Patients and the Possible Metabolic Alterations Produced by the Disease.Metabolites · 2024Article
- The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Volatile-compound fingerprinting and discrimination of positional isomers in stamp-pad ink tracing using HS-GC-IMS combined with multivariate statistical analysis.Analytical and bioanalytical chemistry · 2024Article
- Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.Frontiers in artificial intelligence · 2024Review
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early diagnosis of esophageal cancer (EC) is extremely challenging. The study presented herein aimed to assess whether urinary volatile organic compounds (VOCs) may be emerging diagnostic biomarkers for EC. Urine samples were collected from EC patients and healthy controls (HCs). Gas chromatography-ion mobility spectrometry (GC-IMS) was next utilised for volatile organic compound detection and predictive models were constructed using machine learning algorithms. ROC curve analysis indicated that an 8-VOCs based machine learning model could aid the diagnosis of EC, with the Random Forests having a maximum AUC of 0.874 and sensitivities and specificities of 84.2% and 90.6%, respectively. Urine VOC analysis aids in the diagnosis of EC.
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