Author of

• 12736

  +

  P3.14 - Poster Session 3 - Mesothelioma (ID 197)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Mesothelioma
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/30/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 12739

    +

    P3.14-003 - Volatile Organic Compounds as diagnostic tool for Malignant Pleural Mesothelioma. (ID 709)

    09:30 - 09:30  |  Author(s): J. Van Cleemput
    • Abstract

    Background
    Early diagnosis of malignant pleural mesothelioma (MPM) can improve patients’ outcome but is hampered by non-specific symptoms and investigations, which delay diagnosis and result in advanced stage disease [van Meerbeeck JP, 2011]. An accurate non-invasive test allowing early stage diagnosis in asbestos-exposed persons is lacking. Breathomics aims at a non-invasive analysis of volatile organic compounds (VOCs) reflecting the cells’ metabolism. The breathogram obtained by the electronic nose does however, not allow identification of MPM-related VOCs [Chapman EA 2009, Dragonieri S 2011]. Ion mobility spectrometry (IMS) combines the advantages of online direct sampling with the possibility of VOC identification and linking to MPM pathogenesis [Baumbach JI 2009]. We investigated which VOCs could play a role in MPM pathogenesis in order to build a possible diagnostic MPM tool.

    Methods
    10 MPM patients and 10 healthy asbestos-exposed individuals (mean asbestos fiberyear count 14,6 (5,5) fibre.years/cc) were included after refraining from eating, drinking and smoking for at least 2 hours before sampling. They breathed tidally for 3 minutes through a mouthpiece connected to a bacteria filter. Ten ml alveolar air was sampled via a CO~2-~controlled ultrasonic sensor and analyzed using the BioScout Multicapillary Column/Ion Mobility Spectrometer (MCC/IMS, B&S Analytik, Dortmund, Germany) [Westhoff M 2009], by using N~2~ as a carrier gas. Per subject a background sample was taken. Peaks of interest were visually selected and their intensity (V) was analyzed and compared between background and breath samples via on-board VisualNow 3.2 software and SPSS v21 (IBM) using Mann-Whitney-U tests.

    Results
    Out of 41 peaks of interest, three show a significantly higher intensity in the exhaled breath of MPM patients than healthy controls [Table]. The high AUC~ROC~ of resp. P12 (0.877) and P24 (0.863) suggests a possible role of these associated VOCs in MPM pathogenesis and as a diagnostic marker in discriminating MPM patients from asbestos-exposed healthy controls. Figure 1

    Conclusion
    Several VOCs of interest were obtained in the breath of MPM patients. Two peaks were significantly discriminating between both populations. GC-MS analysis and further large cohort studies are ongoing in order to validate the accuracy of IMS as a diagnostic tool for MPM.