Cluster analysis of short-term tests: a new methodological approach.
A totally data-based approach to the evaluation of short-term tests is proposed. The performances of 22 tests over a range of 42 chemicals (data from literature) were studied by cluster analysis. The comparison between them was performed only on the basis of their responses to the chemicals. Two different clustering methods produced a coincident classification, pointing to a clear resolution of all tests into 3 groups with common characteristics. With respect to carcinogen discrimination, cluster 1 showed the highest sensitivity and the lowest specificity. Cluster 3 had opposite characteristics. The tests of cluster 2 showed intermediate features. As far as the membership to clusters is concerned, the literature data about the responses to chemicals indicated a strong test system specificity. This apparently overcame both phylogeny and end-point community. A major characteristic of the present approach is the ability to elicit underlying patterns, the knowledge of which can contribute both to hypothesis formulation and be useful for practical purposes.
D000818:Animals; D001419:Bacteria / Q000187:drug effects; D002273:Carcinogens; D002478:Cells, Cultured; D002869:Chromosome Aberrations; D006801:Humans; D009152:Mutagenicity Tests / Q000379:methods*; D012440:Saccharomyces / Q000187:drug effects; D013223:Statistics as Topic
D002273:Carcinogens