Literature DB >> 7558839

Radon-exposed underground miners and inverse dose-rate (protraction enhancement) effects.

J H Lubin1, J D Boice, C Edling, R W Hornung, G Howe, E Kunz, R A Kusiak, H I Morrison, E P Radford, J M Samet.   

Abstract

Recent models for radon-induced lung cancer assume that at high levels of cumulative exposure, as experienced historically by many underground miners of uranium and other ores, the risk of lung cancer follows an inverse dose-rate (protraction enhancement) pattern. That is, for equal total dose, a greater risk is incurred by those whose total dose is accumulated at a lower rate over a longer duration than at a higher rate over a shorter duration. This inverse dose-rate effect is hypothesized to be the consequence of multiple traversals of the nucleus of a target cell by alpha particles. It has recently been concluded, however, that for low total doses, as in most residential settings, the inverse dose-rate effect should diminish and perhaps even disappear, since at very low doses the probability that more than one alpha particle would traverse a cell is small and there would be no possibility for interactions from multiple hits. Pooling original data from 11 cohort studies of underground miners, including nearly 1.2 million person-y of observation and 2,701 lung cancer deaths, we evaluate the presence of an inverse dose-rate effect and its modification by total dose. An inverse dose-rate effect was confirmed in each cohort, except one, and overall in the pooled data. There also appears to be a diminution of the inverse dose-rate effect below 50 Working Level Months (WLM), although analyses were necessarily hampered by a limited range of exposure rates at low total WLM. These data support both the presence of an inverse dose-rate effect, as well as its diminution at low total dose. As a consequence, assessment of risks of radon progeny exposure in homes (on average 15-20 WLM for a lifetime) using miner-based models should not assume an ever-increasing risk per unit dose. Rather, it is more appropriate to apply risk models that take into account protraction enhancement and its diminution.

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Year:  1995        PMID: 7558839     DOI: 10.1097/00004032-199510000-00007

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  23 in total

1.  Lung cancer mortality among nuclear workers of the Mayak facilities in the former Soviet Union. An updated analysis considering smoking as the main confounding factor.

Authors:  M Kreisheimer; M E Sokolnikov; N A Koshurnikova; V F Khokhryakov; S A Romanow; N S Shilnikova; P V Okatenko; E A Nekolla; A M Kellerer
Journal:  Radiat Environ Biophys       Date:  2003-07-08       Impact factor: 1.925

2.  Radon-induced lung cancer in French and Czech miner cohorts described with a two-mutation cancer model.

Authors:  Marco J P Brugmans; Sietse M Rispens; Harmen Bijwaard; Dominique Laurier; Agnes Rogel; Ladislav Tomásek; Margot Tirmarche
Journal:  Radiat Environ Biophys       Date:  2004-08-17       Impact factor: 1.925

3.  Healthy worker survivor bias in the Colorado Plateau uranium miners cohort.

Authors:  Alexander P Keil; David B Richardson; Melissa A Troester
Journal:  Am J Epidemiol       Date:  2015-04-01       Impact factor: 4.897

4.  The inverse dose-rate effect for radon induced lung cancer: a modified approach for risk modelling.

Authors:  M Kreisheimer
Journal:  Radiat Environ Biophys       Date:  2006-03-08       Impact factor: 1.925

5.  Invited commentary: is it time to retire the "pack-years" variable? Maybe not!

Authors:  Duncan C Thomas
Journal:  Am J Epidemiol       Date:  2013-12-18       Impact factor: 4.897

Review 6.  [Meta-analysis of epidemiologic studies].

Authors:  M Blettner; W Sauerbrei
Journal:  Med Klin (Munich)       Date:  1998-07-15

7.  Mutation induction by inhaled radon progeny modeled at the tissue level.

Authors:  Balázs G Madas; Imre Balásházy
Journal:  Radiat Environ Biophys       Date:  2011-09-06       Impact factor: 1.925

8.  Human lung cancer risks from radon - part I - influence from bystander effects - a microdose analysis.

Authors:  Bobby E Leonard; Richard E Thompson; Georgia C Beecher
Journal:  Dose Response       Date:  2010-08-20       Impact factor: 2.658

Review 9.  Defining molecular and cellular responses after low and high linear energy transfer radiations to develop biomarkers of carcinogenic risk or therapeutic outcome.

Authors:  Michael Story; Liang-hao Ding; William A Brock; K Kian Ang; Ghazi Alsbeih; John Minna; Seongmi Park; Amit Das
Journal:  Health Phys       Date:  2012-11       Impact factor: 1.316

10.  An update of cancer mortality among the French cohort of uranium miners: extended follow-up and new source of data for causes of death.

Authors:  Dominique Laurier; Margot Tirmarche; Nicolas Mitton; Madeleine Valenty; Patrick Richard; Serge Poveda; Jean-Marie Gelas; Benoit Quesne
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

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