2023 World Conference on Lung Cancer (Posters)-EP14.01. Treatment Response in Malignant Pleural Mesothelioma Patients Can Be Predicted by Exhaled Breath Analysis

EP14.01. Treatment Response in Malignant Pleural Mesothelioma Patients Can Be Predicted by Exhaled Breath Analysis - PDF(Slides)

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Researchers have found that exhaled breath analysis can predict treatment response in patients with pleural mesothelioma, a fatal cancer caused by asbestos exposure. The study included 15 patients who underwent breath sampling and CT scans every three months. The breath samples were analyzed using multi-capillary column-ion mobility-spectrometry (MCC-IMS) to detect volatile organic compounds (VOCs) in the alveolar air. Data analysis revealed that an alveolar gradient and LASSO regression could be used to select VOCs that distinguish between stable disease and progressive disease. <br /><br />The study found that a discriminative model using these selected VOCs had a sensitivity of 77.8% and an area under the receiver operating characteristic curve (AUCROC) of 73.0%, indicating its ability to differentiate responders from non-responders. Additionally, a predictive model based on the VOCs achieved a sensitivity of 100% and an AUCROC of 87.5%, suggesting that it can accurately predict therapy outcome. <br /><br />The identified VOCs, including P15, P31, P47, P63, P79, and P95, could serve as potential biomarkers for treatment response in pleural mesothelioma patients. However, further validation in a larger population is necessary, as well as the identification of VOCs through gas chromatography-mass spectrometry. The ultimate goal is to develop a VOC-profile for each treatment in order to personalize and improve therapeutic outcomes for these patients. <br /><br />This study demonstrates the potential of exhaled breath analysis as a non-invasive method for predicting treatment response in pleural mesothelioma. By identifying specific VOCs associated with different treatment outcomes, clinicians may be able to optimize treatment plans and improve patient outcomes in the future.

Asset Subtitle

Kevin Lamote

Meta Tag

Speaker Kevin Lamote

Topic Mesothelioma, Thymoma & Other Thoracic Tumors

Keywords

exhaled breath analysis

treatment response

pleural mesothelioma

asbestos exposure

volatile organic compounds

sensitivity

predictive model

potential biomarkers

gas chromatography-mass spectrometry

non-invasive method