A strategy for primary high throughput cytotoxicity screening in pharmaceutical toxicology

Purpose. Recent advances in combinatorial chemistry and high throughput scr eens for pharmacologic activity have created an increasing demand for in vi tro high throughput screens for toxicological evaluation in the early phase s of drug discovery. Methods. To develop a strategy for such a screen, we have conducted a data mining study of the National Cancer Institute's Developmental Therapeutics Program (DTP) cytotoxicity database. Results. Using hierarchical cluster analysis, we confirmed that the differe nt tissues of origin and individual cell lines showed differential sensitiv ity to compounds in the DTP Standard Agents database. Surprisingly, however , approaching the data globally, linear regression analysis showed that the differences were relatively minor. Comparison with the literature on acute toxicity in mice showed that the predictive power of growth inhibition was marginally superior to that of cell death. Conclusions. This datamining study suggests that in designing a strategy fo r high throughput cytotoxicity screening: a single cell line, the choice of which may not be critical, can be used as a primary screen; a single end p oint may be an adequate measure and a cut off value for 50% growth inhibiti on between 10(-6) and 10(-8) M may be a reasonable starting point for accep ting a cytotoxic compound for scale up and further study.