Identification Of Urinary Volatile Organic Compounds As A Potential Non-invasive Biomarker For Esophageal Cancer

This study explored the use of urinary volatile organic compounds (VOCs) for the early diagnosis of esophageal cancer (EC). Using gas chromatography-ion mobility spectrometry (GC-IMS), the researchers were able to differentiate between EC patients and healthy subjects. A machine learning model was constructed to further clarify the diagnostic value of VOCs in urine. Eight different VOCs were identified in urine that may play a role in the diagnosis of EC. Previous studies have achieved a diagnostic accuracy of over 80%, and a diagnostic model AUC area of 0.97 was achieved in a study exploring exhaled breath VOCs in EC.