NTP 2年生物测定:计算啮齿动物肿瘤以预测人类癌症的争议

C. Berry, S. Cohen, A. Hayes, N. Kaminski
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引用次数: 2

摘要

2016年底,为评估化学诱导小鼠细支气管肺泡癌对人类的临床相关性,对国家毒理学计划(NTP)吸入研究数据库中的60项研究进行了审查。根据一则来源不明的轶事,大鼠和小鼠之间的肿瘤一致性报道为70%,因此,吸入数据显示的大鼠和小鼠之间肿瘤形成和肿瘤部位的高度不一致性实际上是一个令人惊讶但有趣的结果。对国家毒理学计划吸入数据库的进一步检查导致了2017年的初步出版。由于无法将吸入途径的结果推断到NTP数据库中的其他暴露途径(饲料、灌胃、饮用水、皮肤、腹腔注射),Smith和Perfetti根据大鼠-小鼠肿瘤发生率、位点一致性和啮齿动物致瘤性与Ames试验结果的相关性,以及与NTP报告的其他遗传毒性试验的相关性,对这些其他暴露途径的研究进行了分析。在过去几年中,Smith和他的同事密切关注国家毒理学规划专家小组关于1-溴丙烷潜在遗传毒性和致瘤性的审议。从这一经验来看,国家毒理学规划将重点放在历史数据上,而不是最近进行的最先进的GLP遗传毒性测定,这是惊人的。在对饲料、灌胃、饮用水、皮肤和腹腔注射2年NTP研究的分析中,Smith和Perfetti发现Ames试验阳性结果与啮齿动物肿瘤发生之间的相关性较差,同时,Ames试验阴性结果与啮齿动物肿瘤不存在之间的相关性也很差。由于无法确定Ames试验和其他遗传毒性试验的质量,很难评估Ames试验数据是否确实显示出较差的预测能力,或者Ames试验数据是否固有地含有高错误率,从而干扰了统计分析。鉴于NTP数据库中数据的局限性,Smith和Perfetti将分析的重点转移到啮齿动物致瘤性的分子决定因素上。Smith和Perfetti与QSAR概念和方法的鼻祖Corwin Hansch博士有着长期的合作关系,在他去世后,与他的前博士后研究员Rajni Garg博士和她的前博士后研究员Gene Ko博士有着长期的合作关系。Smith和Perfetti与Garg和Ko博士合作,对NTP数据库中的所有化学物质进行了以下关联:Ames诱变性、致癌性结构警报、Hansch QSAR参数(ClogP、CMR、MgVol)、肿瘤位点一致性/多样性和致瘤性等级。其中一个结论是,由于啮齿动物肿瘤与人类肿瘤的临床相关性不能从这个数据集中确定,因此,目前可以完成的最好的工作是开发一个比较规模,其中一种化学物质的啮齿动物致瘤性可以在类似的条件下与类似化学物质的啮齿动物致瘤性进行比较,尽管在监管环境中用处有限。在完成与Garg博士和Ko博士的合作后,我们与美国环境保护局风险评估司举行了一次会议。在这次会议上,EPA人员表达了他们对称为肿瘤学的EPA预测项目的信心。在与环保局的会议之后,史密斯
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The NTP 2-year bioassay: Controversies in counting rodent tumors to predict human cancer
In late 2016, an examination of the 60 studies constituting the 2-year National Toxicology Program (NTP) inhalation study database conducted for the purpose of evaluating the clinical relevance to humans of chemical induction of bronchioloalveolar carcinomas in mice was initiated. From an anecdote of unknown origin that tumor concordance between rats and mice was reported to be 70%, therefore, the very high level of discordance in tumor formation and tumor site between rats and mice that the inhalation data actually showed was a surprising but interesting outcome. Further examination of the NTP inhalation database led to an initial publication in 2017. The inability to extrapolate the results from the inhalation route to the other routes of exposure (feed, gavage, drinking water, dermal, intraperitoneal injection) in the NTP database motivated Smith and Perfetti to analyze the studies on these other routes of exposure in terms of rat–mouse tumor incidence and site concordance and correlation of rodent tumorigenicity with Ames test results and, similarly, with other tests of genotoxicity as reported by the NTP. Over the last several years, Smith and his colleagues have closely followed the deliberations of the NTP expert panel regarding the potential genotoxicity and tumorigenicity of 1-bromopropane. From this experience, the emphasis placed by the NTP on historical data rather than on more recently conducted, state-of-the-art, GLP genotoxicity assays was striking. In the analysis of the feed, gavage, drinking water, dermal, and intraperitoneal injection 2-year NTP studies, Smith and Perfetti found a poor correlation between positive Ames test results and the development of rodent tumors and, concomitantly, a similarly poor correlation between negative Ames test results and the absence of rodent tumors. The inability to determine the quality of the Ames tests and other tests of genetic toxicity confounded the evaluation of whether the Ames test data were actually displaying poor predictive power or whether the Ames test data contained an inherently high error rate that interfered with the statistical analysis. Given the limitations of the data in the NTP database, Smith and Perfetti shifted the focus of the analysis to the molecular determinants of rodent tumorigenicity. Smith and Perfetti had a long-standing collaborative relationship with Dr Corwin Hansch, the originator of the QSAR concept and methodology, and following his passing, with his former postdoctoral fellow Dr Rajni Garg and her former postdoctoral fellow Dr Gene Ko. In collaboration with Drs Garg and Ko, Smith and Perfetti correlated the following for all the chemicals in the NTP database: Ames mutagenicity, structural alerts of carcinogenicity, Hansch QSAR parameters (ClogP, CMR, MgVol), tumor site concordance/multiplicity, and tumorigenicity rank. One of the conclusions was that since the clinical relevance of rodent tumors to human tumors cannot be determined from this data set, development of a comparative scale wherein the rodent tumorigenicity of a chemical can be compared under similar conditions to the rodent tumorigenicity of a similar chemical is the best that can be accomplished at this time, albeit of limited usefulness in a regulatory setting. Following completion of the collaboration with Drs Garg and Ko, a meeting was held with the USEPA Risk Assessment Division. At this meeting, EPA personnel expressed their confidence in EPA’s predictive program termed Oncologic. Following the meeting with EPA, Smith
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