IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0041431.html
   My bibliography  Save this article

Lung Cancer Mortality (1950–1999) among Eldorado Uranium Workers: A Comparison of Models of Carcinogenesis and Empirical Excess Risk Models

Author

Listed:
  • Markus Eidemüller
  • Peter Jacob
  • Rachel S D Lane
  • Stanley E Frost
  • Lydia B Zablotska

Abstract

Lung cancer mortality after exposure to radon decay products (RDP) among 16,236 male Eldorado uranium workers was analyzed. Male workers from the Beaverlodge and Port Radium uranium mines and the Port Hope radium and uranium refinery and processing facility who were first employed between 1932 and 1980 were followed up from 1950 to 1999. A total of 618 lung cancer deaths were observed. The analysis compared the results of the biologically-based two-stage clonal expansion (TSCE) model to the empirical excess risk model. The spontaneous clonal expansion rate of pre-malignant cells was reduced at older ages under the assumptions of the TSCE model. Exposure to RDP was associated with increase in the clonal expansion rate during exposure but not afterwards. The increase was stronger for lower exposure rates. A radiation-induced bystander effect could be a possible explanation for such an exposure response. Results on excess risks were compared to a linear dose-response parametric excess risk model with attained age, time since exposure and dose rate as effect modifiers. In all models the excess relative risk decreased with increasing attained age, increasing time since exposure and increasing exposure rate. Large model uncertainties were found in particular for small exposure rates.

Suggested Citation

  • Markus Eidemüller & Peter Jacob & Rachel S D Lane & Stanley E Frost & Lydia B Zablotska, 2012. "Lung Cancer Mortality (1950–1999) among Eldorado Uranium Workers: A Comparison of Models of Carcinogenesis and Empirical Excess Risk Models," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-10, August.
  • Handle: RePEc:plo:pone00:0041431
    DOI: 10.1371/journal.pone.0041431
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0041431
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0041431&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0041431?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wolfgang F. Heidenreich & E. Georg Luebeck & Suresh H. Moolgavkar, 1997. "Some Properties of the Hazard Function of the Two‐Mutation Clonal Expansion Model," Risk Analysis, John Wiley & Sons, vol. 17(3), pages 391-399, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mark P Little & Wolfgang F Heidenreich & Guangquan Li, 2009. "Parameter Identifiability and Redundancy in a General Class of Stochastic Carcinogenesis Models," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-6, December.
    2. William D. Hazelton & Jihyoun Jeon & Rafael Meza & Suresh H. Moolgavkar, 2012. "Chapter 8: The FHCRC Lung Cancer Model," Risk Analysis, John Wiley & Sons, vol. 32(s1), pages 99-116, August.
    3. Michael Greenberg & Charles Haas & Anthony Cox & Karen Lowrie & Katherine McComas & Warner North, 2012. "Ten Most Important Accomplishments in Risk Analysis, 1980–2010," Risk Analysis, John Wiley & Sons, vol. 32(5), pages 771-781, May.
    4. Jihyoun Jeon & Rafael Meza & Martin Krapcho & Lauren D. Clarke & Jeff Byrne & David T. Levy, 2012. "Chapter 5: Actual and Counterfactual Smoking Prevalence Rates in the U.S. Population via Microsimulation," Risk Analysis, John Wiley & Sons, vol. 32(s1), pages 51-68, August.
    5. Rudolf T. Hoogenveen & Harvey J. Clewell & Melvin E. Andemen & Wout Slob, 1999. "An Alternative Exact Solution of the Two‐Stage Clonal Growth Model of Cancer," Risk Analysis, John Wiley & Sons, vol. 19(1), pages 9-14, February.
    6. Suresh H. Moolgavkar & Ellen T. Chang & Georg Luebeck & Edmund C. Lau & Heather N. Watson & Kenny S. Crump & Paolo Boffetta & Roger McClellan, 2015. "Diesel Engine Exhaust and Lung Cancer Mortality: Time‐Related Factors in Exposure and Risk," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 663-675, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0041431. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.