Carcinogenic potency is a key factor in the understanding of chemical risk assessment. Measures of carcinogenic potency, for example TD₅₀, are instrumental in the determination of metrics such as the threshold of toxicological concern (TTC), acceptable intake (AI) and permitted daily exposure (PDE), which in turn impact on human exposure. The Carcinogenic Potency Data Base (CPDB) has provided a source of study information, complete with calculated TD₅₀ values. However, this is no longer actively updated. An understanding of carcinogenic potency, which can be derived from dose–response data, can be used as part of human risk assessments to generate safety thresholds under which cancer risk is judged to be minimal. The aim of this paper is to produce a transparent methodology for calculating TD₅₀ values from experimental data in a manner consistent with the CPDB. This was then applied across the same data as used in the CPDB and analysis done on the correlation with the CPDB TD₅₀ values. While the two sets of values showed a high level of correlation overall, there were some significant discrepancies. These were predominantly due to a lack of clarity in the CPDB methodology and inappropriate use of a linear model in TD₅₀ calculation where the data was not suitable for such an approach.

中文翻译：

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TD50值用于致癌性研究数据的生成。

致癌性是了解化学危险性评估的关键因素。致癌效力的度量标准（例如TD ₅₀）有助于确定度量标准，例如毒理关注阈值（TTC），可接受摄入量（AI）和允许的每日暴露量（PDE），这反过来又会影响人体暴露量。致癌潜能数据库（CPDB）提供了研究信息的来源，其中包括计算得出的TD ₅₀价值观。但是，此不再有效地更新。可以从剂量反应数据中得出对致癌潜能的理解，可以用作人类风险评估的一部分，以产生可将癌症风险降至最低的安全性阈值。本文的目的是提供一种透明的方法，以与CPDB一致的方式从实验数据中计算TD ₅₀值。然后将其应用于与CPDB中使用的相同数据，并对与CPDB TD ₅₀值的相关性进行分析。尽管两组值总体上显示出很高的相关性，但仍存在一些显着差异。这些主要是由于CPDB方法不清晰，以及TD _50中线性模型的使用不当 在数据不适合这种方法的情况下进行计算。