Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark.
Cancer Res Commun. 2022 Jun 29;2(6):552-560. doi: 10.1158/2767-9764.CRC-22-0026. eCollection 2022 Jun.
The main tool in drug safety monitoring, spontaneous reporting of adverse effects, is unlikely to detect delayed adverse drug effects including cancer. Hypothesis-free screening studies based on administrative data could improve ongoing drug safety monitoring. Using Danish health registries, we conducted a series of case-control studies by identifying individuals with incident cancer in Denmark from 2001 to 2018, matching each case with 10 population controls on age, sex, and calendar time. ORs were estimated using conditional logistic regression accounting for matching factors, educational level, and selected comorbidities. A total of 13,577 drug-cancer associations were examined for individual drugs and 8,996 for drug classes. We reviewed 274 drug-cancer pairs where an association with high use and a cumulative dose-response pattern was present. We classified 65 associations as not readily attributable to bias of which 20 were established as carcinogens by the International Agency for Research on Cancer and the remaining 45 associations may warrant further study. The screening program identified drugs with known carcinogenic effects and highlighted a number of drugs that were not established as carcinogens and warrant further study. The effect estimates in this study should be interpreted cautiously and will need confirmation targeted epidemiologic and translational studies.
This study provides a screening tool for drug carcinogenicity aimed at hypothesis generation and explorative purposes. As such, the study may help to identify drugs with unknown carcinogenic effects and, ultimately, improve drug safety as part of the ongoing safety monitoring of drugs.
药物安全监测的主要工具,即不良反应自发报告,不太可能检测到包括癌症在内的延迟药物不良反应。基于行政数据的无假设筛选研究可以改善正在进行的药物安全监测。我们使用丹麦健康登记处,通过确定 2001 年至 2018 年期间丹麦新发生癌症的个体,对每个病例与 10 个人口对照进行了一系列病例对照研究,这些对照在年龄、性别和时间上匹配。使用条件逻辑回归,根据匹配因素、教育水平和选定的合并症来估计 OR。共检查了 13577 种药物-癌症关联,以及 8996 种药物类别。我们审查了 274 对具有高使用量和累积剂量反应模式的药物-癌症关联。我们将 65 种关联分类为不易归因于偏倚,其中 20 种被国际癌症研究机构认定为致癌剂,其余 45 种关联可能需要进一步研究。该筛选计划确定了具有已知致癌作用的药物,并强调了一些尚未被认定为致癌剂的药物,这些药物值得进一步研究。本研究中的效应估计应谨慎解释,并需要通过有针对性的流行病学和转化研究进行确认。
本研究提供了一种针对药物致癌性的筛选工具,旨在产生假设和探索目的。因此,该研究可能有助于识别具有未知致癌作用的药物,并最终改善药物安全性,作为对药物进行持续安全监测的一部分。