Prioritizing of potential environmental exposure carcinogens beyond IARC group 1-2B based on weight of evidence (WoE) approach

  • 0Department of Toxicology, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China; Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, 300011, China.

Summary

This summary is machine-generated.

Identifying potential carcinogens is crucial for safety. This study introduces a novel weight of evidence (WoE) approach using computational methods to prioritize environmental exposures, successfully identifying new and known cancer-causing chemicals.

Area Of Science

  • Environmental Health
  • Toxicology
  • Computational Chemistry

Background

  • Environmental exposures are a primary cause of cancer.
  • The carcinogenicity of many environmental substances remains unevaluated.
  • Prioritizing potential carcinogens is essential for public health and safety.

Purpose Of The Study

  • To develop and evaluate a novel weight of evidence (WoE) approach for prioritizing environmental carcinogens.
  • To integrate various computational methods for enhanced carcinogen identification.
  • To identify previously unevaluated environmental exposures with high carcinogenic concern.

Main Methods

  • Development and evaluation of four distinct weight of evidence (WoE) approaches.
  • Integration of computational toxicology methods: read-across, structural alerts, (Quantitative) Structure-Activity Relationship ((Q)SAR), and chemical-disease association.
  • Application of the WoE approach to 681 environmental exposures not classified by IARC groups 1-2B.

Main Results

  • The proposed WoE-1 approach demonstrated significant improvements in predictive performance (AUC +0.21, MCC +0.39) compared to single computational methods.
  • The study prioritized 52 chemicals of high carcinogenic concern from the evaluated environmental exposures.
  • Eight compounds were identified as potential carcinogens for the first time, alongside 21 known or suspected carcinogens.

Conclusions

  • The weight of evidence (WoE) approach effectively integrates diverse computational methods for robust carcinogen prioritization.
  • This novel approach successfully identifies and prioritizes environmental exposures with significant carcinogenic potential.
  • The findings provide a critical tool for enhancing safety assessments of environmental chemicals and informing public health strategies.

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