Mechanistic data and cancer risk assessment: the need for quantitative molecular endpoints.
The cancer risk assessment process as currently proposed by the U.S. Environmental Protection Agency allows for the use of mechanistic data to inform the low-dose tumor response in humans and in laboratory animals. The aim is to reduce the reliance on defaults that introduce a relatively high level of uncertainty to the risk estimates. The types of data required for this purpose are those that help identify key events in tumor formation following exposure to environmental chemicals. Informative biomarkers of tumor responses could then be developed for describing the shape of a dose-response curve at low doses (i.e., a qualitative assessment) and for predicting tumor frequency at these low doses (i.e., a quantitative assessment). A number of recently developed molecular approaches could aid in the development of qualitatively and quantitatively informative biomarkers. An overview of these with examples of their use is presented. These methods include quantitative gene expression array techniques, quantitative proteomic assays, and the assessment of DNA alterations at the single gene level and at the genome level of detection. It is most likely that a combination of approaches at different levels of cellular organization (i.e., DNA, RNA, and protein) will be the most productive for biomarker development. The rapid progress that is being made will make this tool kit even more applicable for the cancer risk assessment process.
Preston
R Julian
RJ
Environmental Carcinogenesis Division, National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA. preston.julian@epa.gov
D014408:Biomarkers, Tumor; D015197:Carcinogenicity Tests / Q000379:methods* / Q000592:standards; D002274:Carcinogens, Environmental / Q000633:toxicity*; D004305:Dose-Response Relationship, Drug; D023381:Endpoint Determination / Q000379:methods* / Q000592:standards; D023281:Genomics / Q000379:methods; D006801:Humans; D009154:Mutation / Q000235:genetics; D009369:Neoplasms / Q000139:chemically induced*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D040901:Proteomics / Q000379:methods; D018570:Risk Assessment; D014481:United States; D014484:United States Environmental Protection Agency
D014408:Biomarkers, Tumor; D002274:Carcinogens, Environmental