Author of

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  P2.10 - Prevention and Tobacco Control (Not CME Accredited Session) (ID 959)

  • Event: WCLC 2018
  • Type: Poster Viewing in the Exhibit Hall
  • Track:
  • Presentations: 1
  • Moderators:
  • Coordinates: 9/25/2018, 16:45 - 18:00, Exhibit Hall

  • 27117

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    P2.10-17 - Environmental Tobacco Smoke Exposure and EGFR Mutations in Non-Smokers with Lung Cancer: A Dose-Response Analysis of Published Data (ID 12458)

    16:45 - 18:00  |  Author(s): Zhichao Liu
    • Abstract
    • Slides

    Background
    

    Tobacco smoke is a well-known strong mutagen. However, as EGFR mutations (EGFRmut) in lung cancer were predominantly enriched in never smokers, people used to consider tobacco smoke is mutually exclusive of EGFRmut. We believed that the reason for the relatively lower EGFRmut rates in smokers was the confounding effect from the greater population of known smoke-directing lung cancers. Therefore, it remained interesting to know whether environmental tobacco smoke (ETS) exposure will influence EGFRmut rate.

    a9ded1e5ce5d75814730bb4caaf49419 Method
    

    We searched relevant studies from electronic databases. Different ETS exposure groups of non-smokers and the corresponding EGFRmut rates were extracted from eligible studies. The ETS exposure was measured by the duration (pack-years). A weighted linear regression model was used to examine the correlation by adjusting the sample size of each group.

    4c3880bb027f159e801041b1021e88e8 Result
    

    A total of 7 studies involving 1,447 patients were included. Although no difference was observed between patients with any level ETS exposure and those without any ETS exposure (OR=1.01, 0.94-1.08, P=0.787), we found a positive correlation between ETS exposure duration and occurrence of EGFRmut (R²=0.436, P<0.001; Figure 1).

    

    8eea62084ca7e541d918e823422bd82e Conclusion
    

    The current results suggested that tobacco smoke exposure might also be an inducing factor for EGFR mutations. The true impact of tobacco on EGFR mutations should be calculated based on general population rather than lung cancer population to avoid enrichment bias in the future studies.

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