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K. Lamote
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OA22 - Novel Trials and Biomarkers in Malignant Pleural Mesothelioma (ID 403)
- Event: WCLC 2016
- Type: Oral Session
- Track: Mesothelioma/Thymic Malignancies/Esophageal Cancer/Other Thoracic Malignancies
- Presentations: 1
- Moderators:H. Pass, N. Van Zandwijk
- Coordinates: 12/07/2016, 14:20 - 15:50, Strauss 3
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OA22.05 - Breath Analysis by Gas Chromatography-Mass Spectrometry Can Be Used to Screen for Pleural Mesothelioma (ID 4845)
15:40 - 15:50 | Author(s): K. Lamote
- Abstract
- Presentation
Background:
Malignant pleural mesothelioma (MPM) is an asbestos-related tumour with poor prognosis. Since MPM is diagnosed at advanced stage due to non-specific symptoms and investigations, it is thought that only an early diagnosis will improve patient’s outcome. Breathomics allows to detect volatile organic compounds (VOCs) in breath which can be used as non-invasive biomarkers. Although we were able to discriminate MPM patients from controls using ion mobility spectrometry breathomics, we were not able to identify specific VOCs. Therefore, we aimed to identify VOCs in the breath of MPM persons and persons at risk with gas chromatography-mass spectrometry (GC-MS).
Methods:
Fourteen MPM patients, eighteen asymptomatic asbestos-exposed individuals, 16 individuals with benign asbestos-related diseases and fourteen healthy non-exposed persons were included. After 2 hours of fasting, participants breathed tidally for 5 minutes through a mouthpiece connected to a VOC filter. Subsequently, a full vital capacity was captured in a Tedlar bag of which 500 ml was immediately transferred on a Tenax[GR]-column. Samples were thermally desorbed followed by GC-MS analysis (Agilent 6890A–Thermo Focus DSQII). VOCs were manually selected in the chromatogram and standardised to an internal standard (toluene-d8). Only VOCs with a S/N-ratio>10 were used. Using SPSSv23, significant differences were searched and ROC-curves for discriminating MPM from all control groups were constructed. VOCs which had an AUC~ROC~>0.80 are reported.
Results:
114 VOCs were selected of which 17 were significantly different between MPM patients and controls. Of these, 7 had AUC~ROC~>0.80 and are possible markers for MPM diagnosis.Figure 1
Conclusion:
The large discriminative power and good sensitivity and specificity imply the possibility to use breath analysis for MPM screening. Therefore, persons exposed to asbestos with a positive test should be considered for follow-up in a cost-effective way, decreasing the need for CT-scans and radiation exposure in low-risk persons. Further work includes combining models for discrimination and validating these findings.
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