Data collected from 182 marketed and nonmarketed pharmaceuticals demonstrate that there is little value gained in conducting a rat two-year carcinogenicity study for compounds that lack: (1) histopathologic risk factors for rat neoplasia in chronic toxicology studies, (2) evidence of hormonal perturbation, and (3) positive genetic toxicology results. Using a single positive result among these three criteria as a test for outcome in the two-year study, fifty-two of sixty-six rat tumorigens were correctly identified, yielding 79% test sensitivity. When all three criteria were negative, sixty-two of seventy-six pharmaceuticals (82%) were correctly predicted to be rat noncarcinogens. The fourteen rat false negatives had two-year study findings of questionable human relevance. Applying these criteria to eighty-six additional chemicals identified by the International Agency for Research on Cancer as likely human carcinogens and to drugs withdrawn from the market for carcinogenicity concerns confirmed their sensitivity for predicting rat carcinogenicity outcome. These analyses support a proposal to refine regulatory criteria for conducting a two-year rat study to be based on assessment of histopathologic findings from a rat six-month study, evidence of hormonal perturbation, genetic toxicology results, and the findings of a six-month transgenic mouse carcinogenicity study. This proposed decision paradigm has the potential to eliminate over 40% of rat two-year testing on new pharmaceuticals without compromise to patient safety.

No abstract

These studies have compared the ability of NIH 3T3 cells containing different ras oncogenes to form tumor nodules in the lungs of nude mice after tail vein injection. The genes studied include the normal cellular and bladder tumor ras genes, recombinant viral/cellular ras genes, recombinant yeast/mammalian ras genes, and a constructed gene with yeast RASI sequences significantly modified by deletions and an oncogenic mutation. The results show that NIH 3T3 cells containing these genes readily form lethal tumor nodules in the lungs of nude mice after tail vein injection. No control NIH 3T3 cells formed lung tumors within 66 days. Although there were some quantitative differences in the potencies of the various lines, the striking conclusion is that NIH 3T3 cells transformed by either normal or activated mammalian ras genes form approximately equal numbers ofexperimental lung metastases. In addition, cells transformed by a significantly modified yeast RAS] gene containing a purposefully introduced oncogenic mutation were also equally active in this assay. The amount of p21 (the 21-kDa protein encoded by ras), as measured by immunoprecipitation, was approximately the same in the parent lines before injection as in the tumors recovered after injection. This result indicates that there is no selection for metastatic sublines containing larger quantities of p21. Transfection of EJ bladder tumor ras DNA into NIH 3T3 cells followed by injection 3 days later into the tail veins of nude/beige mice indicated that the EJ ras gene can confer a metastatic phenotype within 3.5 cell generations without selection or clonal growth in vitro. Thus, the biochemical changes initiated after introduction of the c-Ha-ras gene into NIH 3T3 cells result in the almost immediate acquisition of phenotypes necessary for experimental metastasis.Invasion and metastasis have always been considered the hallmarks of malignant tumors in their most lethal form. The fully metastatic cell is differentiated from its normal counterparts by the acquisition of many new phenotypes, including the following abilities: to escape normal growth control; to break through host basement membranes; to invade and exit vessel walls; to survive in the circulation; to attract a blood supply (angiogenesis); to survive host immune attack; and, finally, to grow into discrete tumors at alternate sites. These phenotypes have been presumed to be acquired gradually by cells during the long processes ofpromotionAnd progression that occur after initiation (1-5). The formation of metastatic variants is thought to take place during a protracted time period of up to 20 or 30 years in humans and proportionately shorter periods in animals. All of this information has suggested that multiple genetic or epigenetic steps are required to complete the phenotypic changes necessary for cells to become metastatic. Activation of cellular oncogenes by various genetic and epigenetic mechanisms has been increasingly implicated as an important step in malignant transformation (6-8). Howe...

The in vitro MultiFlow® DNA Damage Assay multiplexes γH2AX, p53, phospho-histone H3, and polyploidization biomarkers into a single flow cytometric analysis. The current report describes a tiered sequential data analysis strategy based on data generated from exposure of human TK6 cells to a previously described 85 chemical training set and a new pharmaceutical-centric test set (n = 40). In each case, exposure was continuous over a range of closely spaced concentrations, and cell aliquots were removed for analysis following 4 and 24 hr of treatment. The first data analysis step focused on chemicals’ genotoxic potential, and for this purpose, we evaluated the performance of a machine learning (ML) ensemble, a rubric that considered fold increases in biomarkers against global evaluation factors (GEFs), and a hybrid strategy that considered ML and GEFs. This first tier further used ML output and/or GEFs to classify genotoxic activity as clastogenic and/or aneugenic. Test set results demonstrated the generalizability of the first tier, with particularly good performance from the ML ensemble: 35/40 (88%) concordance with a priori genotoxicity expectations and 21/24 (88%) agreement with expected mode of action (MoA). A second tier applied unsupervised hierarchical clustering to the biomarker response data, and these analyses were found to group certain chemicals, especially aneugens, according to their molecular targets. Finally, a third tier utilized benchmark dose analyses and MultiFlow biomarker responses to rank genotoxic potency. The relevance of these rankings is supported by the strong agreement found between benchmark dose values derived from MultiFlow biomarkers compared to those generated from parallel in vitro micronucleus analyses. Collectively, the results suggest that a tiered MultiFlow data analysis pipeline is capable of rapidly and effectively identifying genotoxic hazards while providing additional information that is useful for modern risk assessments—MoA, molecular targets, and potency.

No abstract