A Unified Probabilistic Framework for Cancer Risk Management.

Area of Science:

• Environmental Health
• Risk Assessment
• Toxicology

Background:

• Regulatory cancer risk assessments often use deterministic methods, limiting accurate socioeconomic impact prediction.
• Probabilistic approaches are better suited for characterizing uncertainty and variability in carcinogen regulation.

Purpose of the Study:

• To present a unified probabilistic framework for cancer risk management.
• To quantify the socioeconomic impacts of regulating occupational carcinogen exposure.

Main Methods:

• Developed a framework integrating probabilistic exposure, dose-response, impact assessment, and welfare models.
• Applied the framework to occupational exposure to hexavalent chromium in France.
• Quantified excess lifetime cancer risk and disability-adjusted life years (DALYs) saved.

Main Results:

• A binding occupational exposure limit (BOEL) benefits approximately one-third of exposed workers.
• Hexavalent chromium exposure reduction to BOEL levels decreased excess fatal and nonfatal lung cancer risk by 4.7E-3 and 1.5E-3, respectively.
• The BOEL implementation is projected to save 738.4 full DALYs and 30.7 DALYs, with an expected welfare gain of €30 million.

Conclusions:

• The probabilistic framework offers transparent characterization of regulatory impacts, aiding informed risk management.
• The framework effectively visualizes uncertainty and variability in cancer risk assessment.
• Probabilistic risk assessment provides a superior approach for evaluating socioeconomic consequences of carcinogen regulation.