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C.N. Ong



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    P2.06 - Poster Session/ Screening and Early Detection (ID 219)

    • Event: WCLC 2015
    • Type: Poster
    • Track: Screening and Early Detection
    • Presentations: 1
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      P2.06-010 - Exhaled Biomarkers for Lung Cancer Screening (ID 3179)

      09:30 - 09:30  |  Author(s): C.N. Ong

      • Abstract

      Background:
      Lung cancer is the leading cause of global cancer death in both males and females. Figures on disease outcome are disappointing despite advances in treatment since 86% lung cancer patients die within 5 yrs of diagnosis. However with early detection and treatment, 5-year survival improves from 20% stage III to 70% stage I disease. Breath chemical tests have been applied in respiratory disorders and we sought to determine if exhaled breath volatile compounds (VOC) could discriminate patients with lung cancer from pulmonary tuberculosis (TB) by comparing them against age matched controls.

      Methods:
      Subjects seen at outpatient respiratory clinics with CXR suspicious of lung cancer were recruited. Diagnosis of lung cancer or TB was established via bronchoscopic, CT lung biopsy or sputum cultures and exhaled breath was collected. Patients with other lung diseases but gender and age matched were recruited as controls. Analysis of VOC was performed by Thermal Desorption-Gas Chromatography mass spectrometry (TD-GC/MS) using Unity Series 2 Thermal Desorber (Markes International Limited) and 6890 GC system (Agilent Technologies), interfaced with 5973 MSD (Agilent Technologies). Data were analyzed by MZmine 2.11 for peak alignment and normalization, and OPLS for statistical clustering analysis. Additional univariate and receiver operating characteristic analysis were performed with SPSS.

      Results:
      Statistical clustering analysis OPLS Fig1 showed breath profile differences between lung cancer (n=17) and those with other lung diseases (CON, n=19). Fig2 indicated that breath profile of lung cancer patients was also different from those with Tuberculosis (TB). Specific VOC that contribute to these breath differences will be identified by TD-GC/MS. Individual breath VOC was reproducible in triplicates. Figure 1Figure 2





      Conclusion:
      These exciting preliminary results suggest that exhaled breath collected from subjects attending respiratory clinic may serve as screening test to aid the physician in the identification of patients with lung cancer and pulmonary tuberculosis from other respiratory diseases.