| Title: | GC-MS Techniques Investigating Potential Biomarkers of Dying in the Last Weeks with Lung Cancer |
| Author(s): | Chapman EA; Baker J; Aggarwal P; Hughes DM; Nwosu AC; Boyd MT; Mayland CR; Mason S; Ellershaw J; Probert CS; Coyle S; |
| Address: | "School of Medical and Health Sciences, Bangor University, Bangor LL57 2DG, UK. Institute of Systems Medicine and Integrative Biology, University of Liverpool, Liverpool L69 7BE, UK. School of Medicine, Cedar House, University of Liverpool, Liverpool L69 3GE, UK. Department of Health Data Science, University of Liverpool, Liverpool L69 3GF, UK. Academic Palliative & End of Life Care Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool L7 8XP, UK. Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK. Marie Curie Hospice Liverpool, Liverpool L25 8QA, UK. Liverpool Head and Neck Cancer Centre, University of Liverpool, Liverpool L69 3BX, UK. Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, UK. Palliative Care Unit, Institute of Life Course & Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK. Department of Palliative Medicine, Clatterbridge Cancer Centre, Liverpool L7 8YA, UK" |
| ISSN/ISBN: | 1422-0067 (Electronic) 1422-0067 (Linking) |
| Abstract: | "Predicting when a patient with advanced cancer is dying is a challenge and currently no prognostic test is available. We hypothesised that a dying process from cancer is associated with metabolic changes and specifically with changes in volatile organic compounds (VOCs). We analysed urine from patients with lung cancer in the last weeks of life by headspace gas chromatography mass spectrometry. Urine was acidified or alkalinised before analysis. VOC changes in the last weeks of life were identified using univariate, multivariate and linear regression analysis; 12 VOCs increased (11 from the acid dataset, 2 from the alkali dataset) and 25 VOCs decreased (23 from the acid dataset and 3 from the alkali dataset). A Cox Lasso prediction model using 8 VOCs predicted dying with an AUC of 0.77, 0.78 and 0.85 at 30, 20 and 10 days and stratified patients into a low (median 10 days), medium (median 50 days) or high risk of survival. Our data supports the hypothesis there are specific metabolic changes associated with the dying. The VOCs identified are potential biomarkers of dying in lung cancer and could be used as a tool to provide additional prognostic information to inform expert clinician judgement and subsequent decision making" |
| Keywords: | Humans Gas Chromatography-Mass Spectrometry/methods Biomarkers *Lung Neoplasms/diagnosis *Volatile Organic Compounds/metabolism Linear Models Solid Phase Microextraction/methods Gc-ms Spme VOCs dying lung cancer palliative urine volatile; |
| Notes: | "MedlineChapman, Elinor A Baker, James Aggarwal, Prashant Hughes, David M Nwosu, Amara C Boyd, Mark T Mayland, Catriona R Mason, Stephen Ellershaw, John Probert, Chris S Coyle, Seamus eng MR/R024847/1/MRC_/Medical Research Council/United Kingdom SI2018.11/North West Cancer Research/ 202022/Z/16/Z/WT_/Wellcome Trust/United Kingdom Technology directorate, knowledge exchange " The Biology of Dying' project/University of Liverpool/ Switzerland 2023/01/22 Int J Mol Sci. 2023 Jan 13; 24(2):1591. doi: 10.3390/ijms24021591" |
