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Application of the Key Characteristics Framework to Identify Potential Breast Carcinogens Using Publicly Available in Vivo , in Vitro , and in Silico Data.

Jennifer E KayJulia Green BrodyMegan SchwarzmanRuthann A Rudel
Published in: Environmental health perspectives (2024)
We identified hundreds of compounds that have biological activities that could increase BC risk and demonstrated that these activities are enriched among MCs. We argue that many of these should not be considered low hazard without investigating their ability to affect the breast, and chemicals with the strongest evidence can be targeted for exposure reduction. We describe ways to strengthen hazard identification, including improved assessments for mammary effects, developing assays for more KCs, and more comprehensive chemical testing. https://doi.org/10.1289/EHP13233.
Keyphrases
  • electronic health record
  • molecular docking
  • cancer therapy
  • high throughput
  • big data
  • risk assessment
  • human health
  • machine learning
  • climate change