Exposure–response analyses of asbestos and lung cancer subtypes in a pooled analysis of case–control studies

  1. Olsson, Ann C
  2. Vermeulen, Roel
  3. Schüz, Joachim
  4. Kromhout, Hans
  5. Pesch, Beate
  6. Peters, Susan
  7. Behrens, Thomas
  8. Portengen, Lützen
  9. Mirabelli, Dario
  10. Gustavsson, Per
  11. Kendzia, Benjamin
  12. Almansa, Josue
  13. Luzon, Veronique
  14. Vlaanderen, Jelle
  15. Stücker, Isabelle
  16. Guida, Florence
  17. Consonni, Dario
  18. Caporaso, Neil
  19. Landi, Maria Teresa
  20. Field, John
  21. Brüske, Irene
  22. Wichmann, Heinz-Erich
  23. Siemiatycki, Jack
  24. Parent, Marie-Elise
  25. Richiardi, Lorenzo
  26. Merletti, Franco
  27. Jöckel, Karl-Heinz
  28. Plato, Nils
  29. Tardón, Adonina
  30. Zaridze, David
  31. McLaughlin, John
  32. Demers, Paul
  33. Szeszenia-Dabrowska, Neonila
  34. Lissowska, Jolanta
  35. Rudnai, Peter
  36. Fabianova, Eleonora
  37. Stanescu Dumitru, Rodica
  38. Bencko, Vladimir
  39. Foretova, Lenka
  40. Janout, Vladimir
  41. Boffetta, Paolo
  42. Bueno-de-Mesquita, Bas
  43. Forastiere, Francesco
  44. Brüning, Thomas
  45. Straif, Kurt
  46. Ahrens, Wolfgang
  47. Pohlabeln, Hermann

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1000 Titel
  • Exposure–response analyses of asbestos and lung cancer subtypes in a pooled analysis of case–control studies
1000 Autor/in
  1. Olsson, Ann C |
  2. Vermeulen, Roel |
  3. Schüz, Joachim |
  4. Kromhout, Hans |
  5. Pesch, Beate |
  6. Peters, Susan |
  7. Behrens, Thomas |
  8. Portengen, Lützen |
  9. Mirabelli, Dario |
  10. Gustavsson, Per |
  11. Kendzia, Benjamin |
  12. Almansa, Josue |
  13. Luzon, Veronique |
  14. Vlaanderen, Jelle |
  15. Stücker, Isabelle |
  16. Guida, Florence |
  17. Consonni, Dario |
  18. Caporaso, Neil |
  19. Landi, Maria Teresa |
  20. Field, John |
  21. Brüske, Irene |
  22. Wichmann, Heinz-Erich |
  23. Siemiatycki, Jack |
  24. Parent, Marie-Elise |
  25. Richiardi, Lorenzo |
  26. Merletti, Franco |
  27. Jöckel, Karl-Heinz |
  28. Plato, Nils |
  29. Tardón, Adonina |
  30. Zaridze, David |
  31. McLaughlin, John |
  32. Demers, Paul |
  33. Szeszenia-Dabrowska, Neonila |
  34. Lissowska, Jolanta |
  35. Rudnai, Peter |
  36. Fabianova, Eleonora |
  37. Stanescu Dumitru, Rodica |
  38. Bencko, Vladimir |
  39. Foretova, Lenka |
  40. Janout, Vladimir |
  41. Boffetta, Paolo |
  42. Bueno-de-Mesquita, Bas |
  43. Forastiere, Francesco |
  44. Brüning, Thomas |
  45. Straif, Kurt |
  46. Ahrens, Wolfgang |
  47. Pohlabeln, Hermann |
1000 Erscheinungsjahr 2017
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-02-01
1000 Erschienen in
1000 Quellenangabe
  • 28(2): 288-299
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1097/ede.0000000000000604 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5287435/ |
1000 Ergänzendes Material
  • http://journals.lww.com/epidem/Fulltext/2017/03000/Exposure_Response_Analyses_of_Asbestos_and_Lung.19.aspx#ej-article-sam-container |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Fachgruppe
  1. Medizin |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Förderer
  1. German Social Accident Insurance (DGUV) |
  2. Canadian Institutes for Health Research |
  3. Guzzo-SRC Chair in Environment and Cancer |
  4. National Cancer Institute of Canada |
  5. Canadian Cancer Society |
  6. Occupational Cancer Research Centre |
  7. Workplace Safety and Insurance Board |
  8. Canadian Cancer Society |
  9. Cancer Care Ontario |
  10. French Agency of Health Security (ANSES) |
  11. Fondation de France |
  12. French National Research Agency (ANR) |
  13. National Institute of Cancer (INCA) |
  14. Fondation pour la Recherche Médicale |
  15. French Institute for Public Health Surveillance (InVS) |
  16. Health Ministry (DGS) |
  17. Organization for the Research on Cancer (ARC) |
  18. French Ministry of work, solidarity, and public function (DGT) |
  19. Federal Ministry of Education, Science, Research, and Technology |
  20. Federal Ministry of Science |
  21. Ministry of Labour and Social Affairs |
  22. Environmental Epidemiology Program of the Lombardy Region |
  23. INAIL |
  24. Italian Association for Cancer Research |
  25. Region Piedmont |
  26. Compagnia di San Paolo |
  27. Lazio Region |
  28. Polish State Committee for Scientific Research |
  29. MH CZ - DRO |
  30. Instituto Universitario de Oncologia |
  31. Universidad de Oviedo, Asturias |
  32. Fondo de Investigacion Sanitaria (FIS) |
  33. Ciber de Epidemiologia y Salud Publica (CIBERESP) |
  34. Swedish Council for Work Life Research and Swedish Environmental Protection Agency |
  35. Dutch Ministry of Health, Welfare and Sports |
  36. National Institute of Public Health and the Environment |
  37. Europe Against Cancer Program |
  38. Roy Castle Foundation |
  39. Intramural Research Program of the National Institutes of Health |
  40. National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, MD |
  41. European Commission |
1000 Fördernummer
  1. FP 271
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1000 Dateien
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  1. 1000 joinedFunding-child
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    1000 Förderprogramm -
    1000 Fördernummer FP 271
  2. 1000 joinedFunding-child
    1000 Förderer Canadian Institutes for Health Research |
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    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Guzzo-SRC Chair in Environment and Cancer |
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    1000 Förderer National Cancer Institute of Canada |
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    1000 Förderer Canadian Cancer Society |
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    1000 Förderer Occupational Cancer Research Centre |
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    1000 Förderer National Institute of Cancer (INCA) |
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    1000 Förderer Fondation pour la Recherche Médicale |
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    1000 Förderer French Institute for Public Health Surveillance (InVS) |
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    1000 Förderer Organization for the Research on Cancer (ARC) |
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    1000 Förderer French Ministry of work, solidarity, and public function (DGT) |
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    1000 Fördernummer -
  19. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Education, Science, Research, and Technology |
    1000 Förderprogramm -
    1000 Fördernummer 01 HK 173/0
  20. 1000 joinedFunding-child
    1000 Förderer Federal Ministry of Science |
    1000 Förderprogramm -
    1000 Fördernummer Grant 01 HK 546/8
  21. 1000 joinedFunding-child
    1000 Förderer Ministry of Labour and Social Affairs |
    1000 Förderprogramm -
    1000 Fördernummer IIIb7-27/13
  22. 1000 joinedFunding-child
    1000 Förderer Environmental Epidemiology Program of the Lombardy Region |
    1000 Förderprogramm -
    1000 Fördernummer -
  23. 1000 joinedFunding-child
    1000 Förderer INAIL |
    1000 Förderprogramm -
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  24. 1000 joinedFunding-child
    1000 Förderer Italian Association for Cancer Research |
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  25. 1000 joinedFunding-child
    1000 Förderer Region Piedmont |
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    1000 Förderer Compagnia di San Paolo |
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    1000 Förderer Lazio Region |
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    1000 Förderer Polish State Committee for Scientific Research |
    1000 Förderprogramm -
    1000 Fördernummer SPUB-M-COPERNICUS/P-05/ DZ-30/99/2000
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    1000 Förderer MH CZ - DRO |
    1000 Förderprogramm -
    1000 Fördernummer MMCI, 00209805
  30. 1000 joinedFunding-child
    1000 Förderer Instituto Universitario de Oncologia |
    1000 Förderprogramm -
    1000 Fördernummer -
  31. 1000 joinedFunding-child
    1000 Förderer Universidad de Oviedo, Asturias |
    1000 Förderprogramm -
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  32. 1000 joinedFunding-child
    1000 Förderer Fondo de Investigacion Sanitaria (FIS) |
    1000 Förderprogramm -
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    1000 Förderprogramm -
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  34. 1000 joinedFunding-child
    1000 Förderer Swedish Council for Work Life Research and Swedish Environmental Protection Agency |
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    1000 Förderer Dutch Ministry of Health, Welfare and Sports |
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  37. 1000 joinedFunding-child
    1000 Förderer Europe Against Cancer Program |
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  38. 1000 joinedFunding-child
    1000 Förderer Roy Castle Foundation |
    1000 Förderprogramm -
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  39. 1000 joinedFunding-child
    1000 Förderer Intramural Research Program of the National Institutes of Health |
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  40. 1000 joinedFunding-child
    1000 Förderer National Cancer Institute, Division of Cancer Epidemiology and Genetics, Bethesda, MD |
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    1000 Fördernummer -
  41. 1000 joinedFunding-child
    1000 Förderer European Commission |
    1000 Förderprogramm INCO Copernicus program
    1000 Fördernummer IC15-CT96-0313
1000 Objektart article
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1000 @id frl:6404586.rdf
1000 Erstellt am 2017-09-22T11:57:36.943+0200
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