van der Laan Jan Willem, Buitenhuis Wenny H W, Wagenaar Laura, Soffers Ans E M F, van Someren Eugene P, Krul Cyrille A M, Woutersen Ruud A
Medicines Evaluation Board, Utrecht, Netherlands; Division of Toxicology, Leiden Academic Center for Drug Research, Leiden, Netherlands.
Medicines Evaluation Board , Utrecht , Netherlands.
Front Med (Lausanne). 2016 Oct 14;3:45. doi: 10.3389/fmed.2016.00045. eCollection 2016.
In an exercise designed to reduce animal use, we analyzed the results of rat subchronic toxicity studies from 289 pharmaceutical compounds with the aim to predict the tumor outcome of carcinogenicity studies in this species. The results were obtained from the assessment reports available at the Medicines Evaluation Board of the Netherlands for 289 pharmaceutical compounds that had been shown to be non-genotoxic. One hundred forty-three of the 239 compounds not inducing putative preneoplastic lesions in the subchronic study did not induce tumors in the carcinogenicity study [true negatives (TNs)], whereas 96 compounds were categorized as false negatives (FNs) because tumors were observed in the carcinogenicity study. Of the remaining 50 compounds, 31 showed preneoplastic lesions in the subchronic study and tumors in the carcinogenicity study [true positives (TPs)], and 19 only showed preneoplastic lesions in subchronic studies but no tumors in the carcinogenicity study [false positives (FPs)]. In addition, we then re-assessed the prediction of the tumor outcome by integrating the pharmacological properties of these compounds. These pharmacological properties were evaluated with respect to the presence or absence of a direct or indirect proliferative action. We found support for the absence of cellular proliferation for 204 compounds (TN). For 67 compounds, the presence of cellular hyperplasia as evidence for proliferative action could be found (TP). Therefore, this approach resulted in an ability to predict non-carcinogens at a success rate of 92% and the ability to detect carcinogens at 98%. The combined evaluation of pharmacological and histopathological endpoints eventually led to only 18 unknown outcomes (17 categorized as FN and 1 as FP), thereby enhancing both the negative and positive predictivity of an evaluation based upon histopathological evaluation only. The data show the added value of a consideration of the pharmacological properties of compounds in relation to potential class effects, both in the negative and positive direction. A high negative and a high positive predictivity will both result in waiving the need for conducting 2-year rat carcinogenicity studies, if this is accepted by Regulatory Authorities, which will save large numbers of animals and reduce drug development costs and time.
在一项旨在减少动物使用的实验中,我们分析了289种药物化合物的大鼠亚慢性毒性研究结果,目的是预测该物种致癌性研究的肿瘤结果。结果来自荷兰药品评估委员会提供的289种已证明无基因毒性的药物化合物的评估报告。在亚慢性研究中未诱导假定癌前病变的239种化合物中,有143种在致癌性研究中未诱导肿瘤[真阴性(TNs)],而96种化合物被归类为假阴性(FNs),因为在致癌性研究中观察到了肿瘤。在其余50种化合物中,31种在亚慢性研究中显示癌前病变且在致癌性研究中显示肿瘤[真阳性(TPs)],19种仅在亚慢性研究中显示癌前病变但在致癌性研究中未显示肿瘤[假阳性(FPs)]。此外,我们随后通过整合这些化合物的药理特性重新评估了肿瘤结果的预测。这些药理特性根据是否存在直接或间接增殖作用进行评估。我们发现204种化合物(TN)不存在细胞增殖的证据。对于67种化合物,可以发现存在细胞增生作为增殖作用的证据(TP)。因此,这种方法能够以92%的成功率预测非致癌物,以98%的成功率检测致癌物。药理和组织病理学终点的综合评估最终仅产生18个未知结果(17个归类为FN,1个归类为FP),从而提高了仅基于组织病理学评估的评估的阴性和阳性预测性。数据显示了考虑化合物药理特性与潜在类别效应的附加值,无论是在阴性还是阳性方面。如果监管机构接受,高阴性和高阳性预测性都将导致无需进行两年的大鼠致癌性研究,这将节省大量动物,并降低药物开发成本和时间。