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2023 World Conference on Lung Cancer (Posters)
EP14.01. Treatment Response in Malignant Pleural M ...
EP14.01. Treatment Response in Malignant Pleural Mesothelioma Patients Can Be Predicted by Exhaled Breath Analysis - PDF(Abstract)
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Researchers from the University of Antwerp and other institutions have found that exhaled breath analysis can be used to predict treatment response in patients with malignant pleural mesothelioma (MPM). MPM is a type of cancer that affects the lining of the lungs and has a poor prognosis. Currently, treatment options for MPM have limited effects on survival, and there is a need for predictive markers to improve treatment efficacy. <br /><br />The researchers collected breath and background samples from 13 MPM patients using multi-capillary column-ion mobility spectrometry. They analyzed the volatile organic compounds (VOCs) in these samples and developed a discriminative model that could differentiate between patients who responded to treatment and those who did not. This model achieved an accuracy of 89%. <br /><br />Additionally, the researchers trained a predictive model to forecast treatment outcomes based on the breath samples from previous study visits. This model also achieved an accuracy of 89%. The researchers noted that the selected VOCs in the breath samples were likely associated with general mechanisms or correlated with the tumor microenvironment rather than being treatment-specific. <br /><br />These findings indicate that exhaled breath analysis could be a promising non-invasive method for detecting and predicting treatment outcomes in MPM patients. However, further validation in a larger population is needed to confirm the utility of VOC profiling for this purpose. Fine-tuning the VOC profile for different treatments could also help identify which patients are most likely to benefit from specific therapies, ultimately improving overall treatment regimens for MPM.
Asset Subtitle
Kevin Lamote
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Speaker
Kevin Lamote
Topic
Mesothelioma, Thymoma & Other Thoracic Tumors
Keywords
exhaled breath analysis
treatment response
malignant pleural mesothelioma
cancer
prognosis
predictive markers
volatile organic compounds
discriminative model
accuracy
non-invasive method
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