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机制模型拟合 >40000 尾暴露于二苯并[a,l]芘的鳟鱼的 ED001 数据表明突变不会增加肿瘤风险。

Mechanistic Models Fit to ED001 Data on >40,000 Trout Exposed to Dibenzo[A,L]pyrene Indicate Mutations Do Not Drive Increased Tumor Risk.

机构信息

Exponent Inc., Health Sciences.

出版信息

Dose Response. 2014 Jan 10;12(3):386-403. doi: 10.2203/dose-response.13-019.Bogen. eCollection 2014 Jul.

Abstract

ED001-study data on increased liver and stomach tumor risks in >40,000 trout fed dibenzo[a,l]pyrene (DBP), one of the most potently mutagenic chemical carcinogens known, provide the greatest low-dose dose-response resolution of any experimentally induced tumor data set to date. Although multistage somatic mutation/clonal-expansion cancer theory predicts that genotoxic carcinogens increase tumor risk in linear no-threshold proportion to dose at low doses, ED001 tumor data curiously exhibit substantial low-dose nonlinearity. To explore the role that nongenotoxic mechanisms may have played to yield such nonlinearity, the liver and stomach tumor data sets were each fit by two models that each assume a genotoxic and a nongenotoxic pathway to increased tumor risk: the stochastic 2-stage (MVK) cancer model, and a model implementing the more recent dysregulated adaptive hyperplasia (DAH) theory of tumorigenesis. MVK and DAH fits to the data sets were each excellent, but unexpectedly each MVK fit implies that DBP acts to increase tumor risk by entirely non-mutagenic mechanisms. Given that DBP is such a potent mutagen, the MVK-model fits obtained appear to be biologically implausible, whereas the DAH-model fits reflect that model's assumption that chemical-induced tumorigenesis typically is driven by elevated repair-cell populations rather than mutations per se.

摘要

ED001 研究数据表明,喂食二苯并[a,l]芘(DBP)的 4 万多条鳟鱼肝脏和胃肿瘤风险增加,DBP 是已知最具诱变能力的化学致癌物质之一,这为迄今为止任何实验诱导肿瘤数据集中提供了最大的低剂量剂量反应分辨率。尽管多阶段体细胞突变/克隆扩张癌症理论预测,遗传毒性致癌物质会以线性无阈值的比例随着剂量的增加而增加肿瘤风险,但 ED001 的肿瘤数据却令人惊讶地表现出显著的低剂量非线性。为了探讨非遗传毒性机制可能在产生这种非线性方面所起的作用,将肝脏和胃肿瘤数据集分别拟合到两个模型中,每个模型都假设遗传毒性和非遗传毒性途径都会增加肿瘤风险:随机 2 阶段(MVK)癌症模型,以及实施肿瘤发生的最新失调适应性增生(DAH)理论的模型。MVK 和 DAH 对数据集的拟合都非常出色,但出乎意料的是,每个 MVK 拟合都表明 DBP 通过完全非突变机制来增加肿瘤风险。鉴于 DBP 是如此有效的诱变剂,MVK 模型的拟合结果似乎在生物学上是不可信的,而 DAH 模型的拟合反映了该模型的假设,即化学诱导的肿瘤发生通常是由修复细胞群体的增加而不是突变本身驱动的。

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