Russell E. Savage

TL;DR: Needs and gaps in occupational cancer research methods are identified in four broad areas: identification of occupational carcinogens, design of epidemiologic studies, risk assessment, and primary and secondary prevention.

TL;DR: The workshop brought together 80 international specialists to identify the means for best exploiting new technologies to enhance methods for laboratory investigation, epidemiologic evaluation, risk assessment, and prevention of occupational cancer.

TL;DR: Overall, use of mechanistic data has significant potential for reducing the uncertainty in assessments, while at the same time highlighting the areas of uncertainty.

TL;DR: A Bayesian network model was developed to integrate diverse types of data to conduct an exposure‐dose‐response assessment for benzene‐induced acute myeloid leukemia and provides a quantitative approach for linking changes in biomarkers of effect both to exposure information and to changes in disease response.

TL;DR: Although lower levels were detected after dermal application, similar stability of MOCA-DNA adducts indicates that quantification of such MocA adductS may be useful for the long-term industrial biomonitoring of M OCA exposure and for the evaluation of human DNA-MOCAAdduct formation, a lesion thought to be associated with the production of cancer.