Biomarkers in toxicology and risk assessment: informing critical dose-response relationships

James A Swenberg1, Elizabeth Fryar-Tita, Yo-Chan Jeong

  • 1Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, USA. jswenber@email.unc.edu

Insights

Advances in DNA adducts and mutation biomarkers improve cancer risk assessment. Biomarkers of effect are crucial for understanding low-dose mutagenesis and cancer, especially when endogenous DNA damage is a factor.

Area of Science:

  • Biomarkers of Carcinogenesis
  • Molecular Toxicology
  • Cancer Epidemiology

Background:

  • Significant progress in understanding carcinogenesis biomarkers over two decades.
  • Methodological and instrumental advancements enhance the measurement of DNA adducts (formation, repair, consequences).
  • Surrogates like protein adducts aid in understanding species-specific metabolism and DNA repair effects on molecular dose.

Purpose of the Study:

  • To review advancements in biomarkers for carcinogenesis.
  • To analyze the dose-response relationships of genotoxic chemicals using a framework analysis approach.
  • To compare the utility of biomarkers of exposure versus biomarkers of effect in cancer risk assessment.

Main Methods:

  • Review of improvements in methodology and instrumentation for measuring DNA adducts.
  • Analysis of assays for biomarkers of effect, including gene and chromosomal mutations.
  • Framework analysis to examine the mode of action of genotoxic chemicals and low-dose extrapolation.

Main Results:

  • Biomarkers of exposure generally show linear dose-response, except for endogenous adducts.
  • Biomarkers of effect are essential for interpolating low-dose mutagenesis data back to background mutation levels.
  • At high exposures, mutagenesis is driven by chemical-induced DNA damage; at low exposures, it's driven by endogenous DNA damage.

Conclusions:

  • Biomarkers of effect provide better quantitative cancer risk estimates than biomarkers of exposure, particularly for multi-mutation diseases like cancer.
  • Significant differences exist in dose-response curves between exposure and effect biomarkers.
  • Further research on low-dose mutagenesis data for numerous chemicals is necessary.

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