Translational Safety and Bioanalytical Analysis, Amgen, Thousand Oaks, CA 91320, United States of America.
Independent Statistical Consultant, Bristol, RI 02809, United States of America.
Toxicol Appl Pharmacol. 2024 Nov;492:117087. doi: 10.1016/j.taap.2024.117087. Epub 2024 Sep 5.
The IQ Consortium's DruSafe Leadership Group previously reported results of a nonclinical to clinical translational database for First-In-Human (FIH)-enabling animal toxicology studies. We have completed an additional translational database populated with longer duration (>1 month) animal toxicology studies and longer duration (Phase 2 and beyond) clinical trials. The blinded database was composed of 127 molecules. Animal and clinical data were categorized by organ system and animal model (e.g. rodent, dog). The 2 × 2 contingency table (true positive, false positive, true negative, false negative) was used for statistical analysis and both the positive predictive value (PPV) and negative predictive value (NPV) were determined. As also reported in the FIH database, the NPV was the strongest predictive performance measure at 96 %. The PPV was lower than the FIH database with the rodent at 29 %, dog at 21 % and NHP at 20 %. No new additional target organs were observed in 62 % of the entries. A new target organ was identified in 38 % of the entries, with the majority in a rodent (26 %) and fewer in the dog (8 %) or NHP (12 %). However, new target organ data resulted in only a PPV of 13 %, suggesting that current ICH requirements for longer duration animal general toxicology studies should be re-evaluated and better aligned with the 3Rs. A newer paradigm could include an appropriately justified single animal model for longer duration studies, in addition to utilizing New Approach Methods (NAMs) that would provide translational safety data, but additional research is needed.
IQ 联盟的 DruSafe 领导团队此前报告了一项非临床到临床转化数据库的结果,该数据库用于 First-In-Human(FIH)启用的动物毒理学研究。我们已经完成了一个额外的转化数据库,其中包含了更长时间(>1 个月)的动物毒理学研究和更长时间(第 2 阶段及以后)的临床试验。该盲法数据库由 127 种分子组成。动物和临床数据按器官系统和动物模型(例如,啮齿动物、狗)进行分类。使用 2×2 列联表(真阳性、假阳性、真阴性、假阴性)进行统计分析,并确定阳性预测值(PPV)和阴性预测值(NPV)。正如在 FIH 数据库中报告的那样,NPV 是最强的预测性能指标,为 96%。PPV 低于 FIH 数据库,啮齿动物为 29%,狗为 21%,非人灵长类动物为 20%。在 62%的条目(entry)中没有观察到新的额外靶器官。在 38%的条目(entry)中发现了新的靶器官,其中大多数在啮齿动物(26%)中,在狗(8%)或非人灵长类动物(12%)中较少。然而,新的靶器官数据仅导致 13%的 PPV,这表明目前对于较长时间动物一般毒理学研究的 ICH 要求应重新评估,并与 3Rs 更好地结合。一种更新的范式可以包括一个适当证明的单一动物模型,用于更长时间的研究,此外还可以利用提供转化安全性数据的新方法(NAMs),但需要进一步研究。