Workshop on Data Redundancy in Cancer Assessment, Duluth MN May 19-21, 2010
The McKim Conferences on Predictive Toxicology will host a special workshop on opportunities for streamlining the array of toxicity tests used in assessments of carcinogenicity. Evaluating short-term in vitro and in vivo data often assumes that alternative test methods have global chemical domains, and the resulting ambiguities tend to propel testing toward the expensive, long-term rodent carcinogen assay. This retreat will consider a hypothesis-testing framework for organizing short-term evidence of low-incident in vivo risks and more efficient cancer assessments. Participation will be by invitation only, but registration for a limited number of observers will begin in March.
Workshop Goals
The McKim Conferences on Predictive Toxicology are convened to discuss the scientific barriers associated the paradigm shift to a more efficient hypothesis-driven testing paradigm as well as critical paths to overcome those barriers. A conceptual framework centered on adverse outcome pathways serves to integrate QSAR models and a wide variety of in vitro and in vivo test endpoints, and provides a logical structure for assembling and interpreting safety assessments of in vivo risks. Improved predictions for many short-term assessment endpoints are already being demonstrated by many regulatory agencies.
While the prediction of low-incident toxic effects such as cancer in populations still has many uncertainties, the assessment of chemical carcinogenicity, potency and susceptibility factors are routinely conducted by panels of experts even without the rodent carcinogenicity assay. This workshop will reinterpret the supporting evidence for carcinogenicity using more rigorous QSARbased chemical categories which collate chemical on a basis of molecular initiations with DNA and other macromolecules. Once categorized, the in vitro and in vivo evidence coming soon
can be arrayed along adverse outcome pathways to the assessment endpoints used by regulatory authorities.
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