Samenvatting
Adverse outcome pathways (AOPs), introduced in modern toxicology, intend to provide an evidence-based representation of toxicological efects and facilitate safety assessment of chemicals not solely based on laboratory animal in vivo experiments. However, some toxicological processes are too complicated to represent in one AOP. Therefore, AOP networks are developed that help understanding and predicting toxicological processes where complex exposure scenarios interact and lead to the emergence of the adverse outcome. In this study, we present an AOP network for breast cancer, developed after an in-depth survey of relevant scientifc literature. Several molecular initiating events (MIE) were identifed and various key events that link the MIEs with breast cancer were described. The AOP was developed according to Organization of Economic Co-Operation and Development (OECD) guidance, weight of evidence was assessed through the Bradford Hill criteria and confdence was tested by the OECD key questions. The AOP network provides a straightforward understanding of the disease onset and progression at diferent biological levels. It can be used to pinpoint knowledge gaps, identify novel therapeutic targets and act as a stepping stone for the development of novel in vitro test methods for hazard identifcation and risk assessment of newly developed chemicals and drugs.
Originele taal-2 | English |
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Pagina's (van-tot) | 2881-2897 |
Aantal pagina's | 17 |
Tijdschrift | Archives of Toxicology |
Volume | 96 |
Nummer van het tijdschrift | 11 |
DOI's | |
Status | Published - 4 aug. 2022 |
Bibliografische nota
Funding Information:The authors acknowledge the use of Servier Medical Art as Figs. 1 –3 were partly generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unported license. This research received no external funding.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.