Pierce Jennifer S, McKinley Meg A, Paustenbach Dennis J, Finley Brent L
ChemRisk, Inc., San Francisco, California 94105, USA.
Crit Rev Toxicol. 2008;38(3):191-214. doi: 10.1080/10408440701845609.
Numerous investigators have suggested that there is likely to be a cumulative chrysotile exposure below which there is negligible risk of asbestos-related diseases. However, to date, little research has been conducted to identify an actual "no-effect" exposure level for chrysotile-related lung cancer and mesothelioma. The purpose of this analysis is to summarize and present all of the cumulative exposure-response data reported for predominantly chrysotile-exposed cohorts in the published literature. Criteria for consideration in this analysis included stratification of relative risk or mortality ratio estimates by cumulative chrysotile exposure. Over 350 studies were initially evaluated and subsequently excluded from the analysis due primarily to lack of cumulative exposure information, lack of information on fiber type, and/or evidence of significant exposures to amphiboles. Fourteen studies meeting the inclusion criteria were found where lung cancer risk was stratified by cumulative chrysotile exposure; four such studies were found for mesothelioma. All of the studies involved cohorts exposed to high levels of chrysotile in mining or manufacturing settings. The preponderance of the cumulative "no-effects" exposure levels for lung cancer and mesothelioma fall in a range of approximately 25-1,000 fibers per cubic centimeter per year (f/cc-yr) and 15-500 f/cc-yr, respectively, and a majority of the studies did not report an increased risk at the highest estimated exposure. Sources of uncertainty in these values include errors in the cumulative exposure estimates, conversion of dust counts to fiber data, and use of national age-adjusted mortality rates. Numerous potential biases also exist. For example, smoking was rarely controlled for and amphibole exposure did in fact occur in a majority of the studies, which would bias many of the reported "no-effect" exposure levels towards lower values. However, many of the studies likely lack sufficient power (e.g., due to small cohort size) to assess whether there could have been a significant increase in risk at the reported no-observed-adverse-effects level (NOAEL); additional statistical analyses are required to address this source of bias and the attendant influence on these values. The chrysotile NOAELs appear to be consistent with exposure-response information for certain cohorts with well-established industrial hygiene and epidemiology data. Specifically, the range of chrysotile NOAELs were found to be consistently higher than upper-bound cumulative chrysotile exposure estimates that have been published for pre-1980s automobile mechanics (e.g., 95th percentile of 2.0 f/ cc-yr), an occupation that historically worked with chrysotile-containing friction products yet has been shown to have no increased risk of asbestos-related diseases. While the debate regarding chrysotile as a risk factor for mesothelioma will likely continue for some time, future research into nonlinear, threshold cancer risk models for chrysotile-related respiratory diseases appears to be warranted.
众多研究者指出,温石棉的累积暴露量可能存在一个阈值,低于此阈值,患石棉相关疾病的风险可忽略不计。然而,迄今为止,几乎没有研究确定温石棉相关肺癌和间皮瘤的实际“无影响”暴露水平。本分析的目的是总结并呈现已发表文献中主要针对温石棉暴露队列所报告的所有累积暴露-反应数据。本分析所考虑的标准包括按温石棉累积暴露对相对风险或死亡率估计值进行分层。最初评估了350多项研究,随后主要因缺乏累积暴露信息、纤维类型信息,和/或存在显著闪石暴露的证据而将这些研究排除在分析之外。发现有14项符合纳入标准的研究按温石棉累积暴露对肺癌风险进行了分层;发现有4项此类研究针对间皮瘤。所有这些研究都涉及在采矿或制造环境中暴露于高浓度温石棉的队列。肺癌和间皮瘤累积“无影响”暴露水平的主要范围分别约为每年每立方厘米25 - 1000根纤维(f/cc-yr)和15 - 500 f/cc-yr,并且大多数研究在最高估计暴露水平时未报告风险增加。这些值的不确定性来源包括累积暴露估计中的误差、粉尘计数到纤维数据的转换,以及使用全国年龄调整死亡率。还存在许多潜在偏差。例如,吸烟很少得到控制,并且实际上大多数研究中都存在闪石暴露,这会使许多报告的“无影响”暴露水平偏向较低值。然而,许多研究可能缺乏足够的效力(例如,由于队列规模小)来评估在报告的未观察到不良反应水平(NOAEL)时风险是否可能有显著增加;需要进行额外的统计分析来解决这种偏差来源及其对这些值的附带影响。温石棉的NOAEL似乎与某些具有完善工业卫生和流行病学数据的队列的暴露-反应信息一致。具体而言,发现温石棉NOAEL的范围始终高于已发表的20世纪80年代前汽车修理工的温石棉累积暴露上限估计值(例如,第95百分位数为2.0 f/cc-yr),汽车修理工这一职业历史上曾接触含温石棉的摩擦产品,但已证明患石棉相关疾病的风险未增加。虽然关于温石棉作为间皮瘤风险因素的争论可能还会持续一段时间,但对温石棉相关呼吸道疾病的非线性、阈值癌症风险模型进行未来研究似乎是有必要的。