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Abstract:
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To reveal common threads and dissimilar elements among rival modeling approaches for binary drug combinations, 16 pharmacometric modelers were each invited to analyze two previously-published [Faessel, et al,. Cancer Res. 58:3036-3050, 1998] data sets which came from the study of two anticancer agents against cultured cells in a 96-well plate cell growth assay. The first data set includes the complexity of local regions of synergy and antagonism on the same response surface; and the second data set includes the rare finding of extreme (super) synergy. Each of these two large data sets came from two 5-plate stacks (880 randomly treated wells per experiment), with a fixed-ratio design. The data sets are rich both in design points and in replicates, facilitating innovative modeling approaches. The results of the rival approaches will be summarized, compared and evaluated.
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