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Exposure-Response Analyses of Asbestos and Lung Cancer Subtypes in a Pooled Analysis of Case-Control Studies.

  • Ann C Olsson
  • , Roel Vermeulen
  • , Joachim Schüz
  • , Hans Kromhout
  • , Beate Pesch
  • , Susan Peters
  • , Thomas Behrens
  • , Lützen Portengen
  • , Dario Mirabelli
  • , Per Gustavsson
  • , Benjamin Kendzia
  • , Josue Almansa
  • , Veronique Luzon
  • , Jelle Vlaanderen
  • , Isabelle Stücker
  • , Florence Guida
  • , Dario Consonni
  • , Neil Caporaso
  • , Maria Teresa Landi
  • , John Field
  • Irene Brüske, Heinz-Erich Wichmann, Jack Siemiatycki, Marie-Elise Parent, Lorenzo Richiardi, Franco Merletti, Karl-Heinz Jöckel, Wolfgang Ahrens, Hermann Pohlabeln, Nils Plato, Adonina Tardón, David Zaridze, John McLaughlin, Paul Demers, Neonila Szeszenia-Dabrowska, Jolanta Lissowska, Peter Rudnai, Eleonora Fabianova, Rodica Stanescu Dumitru, Vladimir Bencko, Lenka Foretova, Vladimir Janout, Paolo Boffetta, Bas Bueno-de-Mesquita, Francesco Forastiere, Thomas Brüning, Kurt Straif

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    BACKGROUND Evidence is limited regarding risk and the shape of the exposure-response curve at low asbestos exposure levels. We estimated the exposure-response for occupational asbestos exposure and assessed the joint effect of asbestos exposure and smoking by sex and lung cancer subtype in general population studies. METHODS We pooled 14 case-control studies conducted in 1985-2010 in Europe and Canada, including 17,705 lung cancer cases and 21,813 controls with detailed information on tobacco habits and lifetime occupations. We developed a quantitative job-exposure-matrix to estimate job-, time period-, and region-specific exposure levels. Fiber-years (ff/ml-years) were calculated for each subject by linking the matrix with individual occupational histories. We fit unconditional logistic regression models to estimate odds ratios (ORs), 95% confidence intervals (CIs), and trends. RESULTS The fully adjusted OR for ever-exposure to asbestos was 1.24 (95% CI, 1.18, 1.31) in men and 1.12 (95% CI, 0.95, 1.31) in women. In men, increasing lung cancer risk was observed with increasing exposure in all smoking categories and for all three major lung cancer subtypes. In women, lung cancer risk for all subtypes was increased in current smokers (ORs ~two-fold). The joint effect of asbestos exposure and smoking did not deviate from multiplicativity among men, and was more than additive among women. CONCLUSIONS Our results in men showed an excess risk of lung cancer and its subtypes at low cumulative exposure levels, with a steeper exposure-response slope in this exposure range than at higher, previously studied levels. (See video abstract at, http://links.lww.com/EDE/B161.).
    Original languageEnglish
    Pages (from-to)288-299
    Number of pages12
    JournalEpidemiology
    Volume28
    Issue number2
    DOIs
    Publication statusPublished - Mar 2017

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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