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使用基于生物学的模型对氡暴露矿工队列进行的研究:捷克和法国当前数据与中国及科罗拉多州历史数据的比较。

Studies of radon-exposed miner cohorts using a biologically based model: comparison of current Czech and French data with historic data from China and Colorado.

作者信息

Heidenreich W F, Tomásek L, Rogel A, Laurier D, Tirmarche M

机构信息

GSF-National Research Center for Environment and Health, Institute of Radiation Protection, 85764 Neuherberg, Germany.

出版信息

Radiat Environ Biophys. 2004 Dec;43(4):247-56. doi: 10.1007/s00411-004-0266-3. Epub 2004 Nov 30.

Abstract

The biologically based two-stage clonal expansion (TSCE) model is used to analyze lung cancer in several miners studies, two new ones (Czech, French) and two historic ones (Chinese, Colorado). In all cases, the model assumptions are identical. An action of radiation on initiation, promotion, and transformation is allowed. While all four studies indicate a highly significant action of radiation on promotion, the action on initiation is not significant in the French cohort, and barely significant in the Colorado miners cohort. No action on transformation is found in the Colorado miners, while the other data sets indicate a borderline significance. The model can describe all the data sets adequately, with different model parameters. The observed patterns in exposure, time since beginning of exposure, birth year, age and calendar year are reproduced well. The doubling exposure rate for initiation is about 3.5 WLM/year in the new data sets, while it is higher in the historic data sets. For transformation the doubling rate is about 20 WLM/year for the new data sets, while again the historic data give higher estimates. The action of radiation on promotion is quite different in the four data sets. These differences also induce different risk estimates at low exposures. The larger power of the new studies at these low exposures, compared to the historic data requires less extrapolation when the risk at very low exposures is estimated.

摘要

基于生物学的两阶段克隆扩增(TSCE)模型被用于分析多项矿工肺癌研究,其中包括两项新研究(捷克、法国)和两项历史研究(中国、科罗拉多)。在所有情况下,模型假设都是相同的。允许辐射对引发、促进和转化产生作用。虽然所有四项研究都表明辐射对促进作用具有高度显著影响,但在法国队列中,辐射对引发的作用不显著,在科罗拉多矿工队列中作用也仅勉强显著。在科罗拉多矿工中未发现辐射对转化有作用,而其他数据集显示有临界显著性。该模型可以用不同的模型参数充分描述所有数据集。观察到的暴露、暴露开始后的时间、出生年份、年龄和日历年份的模式都能很好地再现。在新数据集中,引发的加倍暴露率约为3.5人雷姆/年,而在历史数据集中则更高。对于转化,新数据集的加倍率约为20人雷姆/年,同样历史数据给出的估计值更高。辐射对促进的作用在四个数据集中有很大差异。这些差异在低暴露水平下也会导致不同的风险估计。与历史数据相比,新研究在这些低暴露水平下的更大效能使得在估计极低暴露水平下的风险时需要更少的外推。

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