Risk estimation from somatic mutation assays

John A. Heddle, Roy R. Swiger
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引用次数: 24

Abstract

The ability to quantify somatic mutations in vivo provides a new source of toxicological information that is relevant to the assessment of cancer risk. The major experimental factors that influence the mutant frequency are age, time after treatment, treatment protocol, and tissue analyzed. In untreated mice, the mutant frequency increases very rapidly with age from conception to birth, more slowly from birth to adulthood, and very slowly thereafter. All somatic tissues studied so far in adults have similar mutant frequencies. The time after treatment (expression time) is the most important experimental variable. The minimum time for expression varies from one tissue to another. To be valid, comparisons between tissues and treatments must be made after complete expression of the mutations. Unfortunately, the minimum expression time has not been characterized in most tissues. Since carcinogens are tissue specific, and many chemicals are distributed in the body in complex patterns, it is to be expected that there will be differences in the frequency of mutation induced in different tissues. As yet this has not been extensively studied. Since the mutations detected by the transgenic assays are neutral, the mutants should accumulate as the integral of the mutation rate. Hence chronic treatment protocols should be more effective than acute and subacute protocols whenever they permit substantially larger doses to be delivered. Such protocols are more relevant to human exposure and are preferable for dose extrapolations. The importance of transcription in determining mutation rates is not yet known, but it is noteworthy that the transgenes are not transcribed whereas the loci involved in carcinogenesis are. The mutation spectrum is important for quantitative risk estimation. Risk estimation must also take into account the spectrum of mutations that are involved in the carcinogenic process in the tissue and the spectrum of mutations that are detectable by the assay. New assays are being used to quantify mutations in vivo in order to understand the carcinogenic process, to search for the environmental factors involved in human cancer, and to evaluate the carcinogenic hazard qualitatively.

体细胞突变分析的风险估计
体内体细胞突变量化的能力提供了与癌症风险评估相关的毒理学信息的新来源。影响突变频率的主要实验因素是年龄、治疗后时间、治疗方案和所分析的组织。在未经治疗的小鼠中,从受孕到出生,突变频率随着年龄的增长而迅速增加,从出生到成年更慢,此后非常缓慢。到目前为止研究的所有成人体细胞组织都有相似的突变频率。处理后的时间(表达时间)是最重要的实验变量。表达的最短时间因组织而异。为了有效,必须在突变完全表达后进行组织和处理之间的比较。不幸的是,在大多数组织中,最小表达时间尚未确定。由于致癌物具有组织特异性,而且许多化学物质在体内以复杂的模式分布,因此可以预料,在不同组织中引起突变的频率会有所不同。到目前为止,这还没有得到广泛的研究。由于转基因试验检测到的突变是中性的,突变应该作为突变率的积分累积。因此,慢性治疗方案应该比急性和亚急性方案更有效,只要它们允许提供更大的剂量。这种方案与人体暴露更相关,更适合剂量外推。转录在决定突变率方面的重要性尚不清楚,但值得注意的是,转基因没有转录,而与致癌有关的基因座有转录。突变谱对定量风险估计很重要。风险评估还必须考虑到组织中致癌过程中涉及的突变谱和检测可检测到的突变谱。为了了解致癌过程,寻找与人类癌症有关的环境因素,并定性地评价致癌危害,人们正在使用新的检测方法来量化体内突变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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