Abstract 5584: Exhaled breath as diagnostic tool for malignant pleural mesothelioma

Author(s):  
Kevin Lamote ◽  
Filip Lardon ◽  
Joris Van Cleemput ◽  
Kristiaan Nackaerts ◽  
Olivier Thas ◽  
...  
Author(s):  
Kevin Lamote ◽  
Matthijs Vynck ◽  
Olivier Thas ◽  
Joris Van Cleemput ◽  
Kristiaan Nackaerts ◽  
...  

Lung Cancer ◽  
2012 ◽  
Vol 75 (3) ◽  
pp. 326-331 ◽  
Author(s):  
Silvano Dragonieri ◽  
Marc P. van der Schee ◽  
Tommaso Massaro ◽  
Nunzia Schiavulli ◽  
Paul Brinkman ◽  
...  

2016 ◽  
Vol 10 (4) ◽  
pp. 046001 ◽  
Author(s):  
Kevin Lamote ◽  
Matthijs Vynck ◽  
Joris Van Cleemput ◽  
Olivier Thas ◽  
Kristiaan Nackaerts ◽  
...  

2017 ◽  
Vol 50 (6) ◽  
pp. 1700919 ◽  
Author(s):  
Kevin Lamote ◽  
Matthijs Vynck ◽  
Olivier Thas ◽  
Joris Van Cleemput ◽  
Kristiaan Nackaerts ◽  
...  

Malignant pleural mesothelioma (MPM) is predominantly caused by asbestos exposure and has a poor prognosis. Breath contains volatile organic compounds (VOCs) and can be explored as an early detection tool. Previously, we used multicapillary column/ion mobility spectrometry (MCC/IMS) to discriminate between patients with MPM and asymptomatic high-risk persons with a high rate of accuracy. Here, we aim to validate these findings in different control groups.Breath and background samples were obtained from 52 patients with MPM, 52 healthy controls without asbestos exposure (HC), 59 asymptomatic former asbestos workers (AEx), 41 patients with benign asbestos-related diseases (ARD), 70 patients with benign non-asbestos-related lung diseases (BLD) and 56 patients with lung cancer (LC).After background correction, logistic lasso regression and receiver operating characteristic (ROC) analysis, the MPM group was discriminated from the HC, AEx, ARD, BLD and LC groups with 65%, 88%, 82%, 80% and 72% accuracy, respectively. Combining AEx and ARD patients resulted in 94% sensitivity and 96% negative predictive value (NPV). The most important VOCs selected were P1, P3, P7, P9, P21 and P26.We discriminated MPM patients from at-risk subjects with great accuracy. The high sensitivity and NPV allow breath analysis to be used as a screening tool for ruling out MPM.


Author(s):  
Zehra Nur Töreyin ◽  
Manosij Ghosh ◽  
Özlem Göksel ◽  
Tuncay Göksel ◽  
Lode Godderis

Malignant pleural mesothelioma (MPM) is mainly related to previous asbestos exposure. There is still dearth of information on non-invasive biomarkers to detect MPM at early stages. Human studies on exhaled breath biomarkers of cancer and asbestos-related diseases show encouraging results. The aim of this systematic review was to provide an overview on the current knowledge about exhaled breath analysis in MPM diagnosis. A systematic review was conducted on MEDLINE (PubMed), EMBASE and Web of Science databases to identify relevant studies. Quality assessment was done by the Newcastle–Ottawa Scale. Six studies were identified, all of which showed fair quality and explored volatile organic compounds (VOC) based breath profile using Gas Chromatography Coupled to Mass Spectrometry (GC–MS), Ion Mobility Spectrometry Coupled to Multi-capillary Columns (IMS–MCC) or pattern-recognition technologies. Sample sizes varied between 39 and 330. Some compounds (i.e, cyclohexane, P3, P5, P50, P71, diethyl ether, limonene, nonanal, VOC IK 1287) that can be indicative of MPM development in asbestos exposed population were identified with high diagnostic accuracy rates. E-nose studies reported breathprints being able to distinguish MPM from asbestos exposed individuals with high sensitivity and a negative predictive value. Small sample sizes and methodological diversities among studies limit the translation of results into clinical practice. More prospective studies with standardized methodologies should be conducted on larger populations.


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