MSACL 2019 US Abstract

Novel Headspace Sorptive Extraction on Urinary Volatile Organic Compounds for Oesophago-Gastric Cancer Detection

Qing Wen(1),Sung-Tong Chin(2),George B. Hanna(3)
(1)Imperial College London,London,UK(2)Imperial College London,London,UK (3)Imperial College London,London,UK

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Qing Wen (Presenter) Imperial College London

Presenter Bio: Mr Qing Wen is currently a PhD student in clinical medicine research supervised by Professor George Hanna who has over ten years' experience in the field of VOC research at Imperial College London. Qing's research focuses on the study of non-invasive diagnosis of cancers, particularly prostate cancer, through the detection of volatile organic compounds (VOCs) within urine headspace. His work deals with development of high throughput mass spectrometry-based method for the analysis of complex urinary VOCs in clinical practice, refinement of VOC biomarker discovery work flow, improvement of trace VOCs measurement with latest technologies as well as establishment of biomarker modelling in disease diagnosis.

Relevant Financial Disclosures (within past 24 months) No relevant financial relationship(s) to disclose. Discussing Products? NO, presenter will NOT present educational content related to products/services of the ineligible company(ies) listed above. Conflict mitigation NOT REQUIRED.

Oesophago-gastric (OG) cancer is one of the most common malignancies worldwide with increasing incidence and high mortality. Since alarm symptoms generally indicate advanced disease stage, new strategies for non-invasive earlier diagnosis of OG cancer are urgently needed to improve patients' chances of survival. This study describes a novel OG cancer diagnostic method using HiSorb sorptive extraction coupled to thermal desorption gas chromatography mass spectrometry (TD-GC-MS) by profiling urinary volatile organic compounds (VOCs) with advantages of non-invasive, simplicity and cost saving. This study lays the foundation in OG cancer volatolomics while further practice is mandatory to prove the translatability of these results in a large prospective population.