Breath Analysis for Early Detection of Malignant Pleural Mesothelioma: Volatile Organic Compounds (VOCs) Determination and Possible Biochemical Pathways

Taking into account that Malignant pleural mesothelioma is a rare and aggressive neoplasm making patient recruitment difficult, this study aims to identify a distinct mesothelioma-related Volatile Organic Compounds profile through breath analysis by developing and validating a promising data mining approach able to discriminate between MPM patients and healthy controls, even if no large population data are available

Alessia Di Gilio

2020

Scholarcy highlights

  • Malignant pleural mesothelioma is a rare neoplasm mainly correlated to asbestos exposure
  • Taking into account that MPM is a rare and aggressive neoplasm making patient recruitment difficult, this study aims to identify a distinct mesothelioma-related Volatile Organic Compounds profile through breath analysis by developing and validating a promising data mining approach able to discriminate between MPM patients and healthy controls, even if no large population data are available
  • In order to explore the potential application of the model proposed in this study for the early detection of patients affected by MPM among asbestos-exposed subjects, five breath samples collected from asbestos-exposed volunteers without symptoms were exploratively analyzed and processed as blinded samples
  • Taking into account that MPM is a rare and aggressive neoplasm and that the recruitment of MPM patients is very difficult due to late diagnosis, this study reported a promising data mining approach which was developed and validated in order to discriminate between MPM patients and healthy controls, even if large population data are not available
  • Ten VOCs were able to discriminate between MPM patients and healthy controls
  • Five breath samples from asymptomatic former asbestos-exposed subjects were exploratively analyzed and processed as blinded samples in order to evaluate the performance of the model for the early recognition of patients affected by MPM among asbestos-exposed subjects
  • A good agreement was found between the information obtained by gold-standard diagnostic methods such as computed tomography and the model output

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