Human mutations that confer paclitaxel resistance.

The involvement of tubulin mutations as a cause of clinical drug resistance has been intensely debated in recent years. In the studies described here, we used transfection to test whether beta1-tubulin mutations and polymorphisms found in cancer patients are able to confer resistance to drugs that target microtubules. Three of four mutations (A185T, A248V, R306C, but not G437S) that we tested caused paclitaxel resistance, as indicated by the following observations: (a) essentially 100% of cells selected in paclitaxel contained transfected mutant tubulin; (b) paclitaxel resistance could be turned off using tetracycline to turn off transgene expression; (c) paclitaxel resistance increased as mutant tubulin production increased. All the paclitaxel resistance mutations disrupted microtubule assembly, conferred increased sensitivity to microtubule-disruptive drugs, and produced defects in mitosis. The results are consistent with a mechanism in which tubulin mutations alter microtubule stability in a way that counteracts drug action. These studies show that human tumor cells can acquire spontaneous mutations in beta1-tubulin that cause resistance to paclitaxel, and suggest that patients with some polymorphisms in beta1-tubulin may require higher drug concentrations for effective therapy.

Preclinical modeling of multi-drug cancer therapies

Anticancer drugs typically are administered in the clinic in the form of mixtures, sometimes called combinations. Only in rare cases, however, are mixtures approved as drugs. Rather, research on mixtures tends to occur after single drugs have been approved. The goal of this research project was to develop modeling approaches that would encourage rational preclinical mixture design. To this end, a series of models were developed. First, several QSAR classification models were constructed to predict the cytotoxicity, oral clearance, and acute systemic toxicity of drugs. The QSAR models were applied to a set of over 115,000 natural compounds in order to identify promising ones for testing in mixtures. Second, an improved method was developed to assess synergistic, antagonistic, and additive effects between drugs in a mixture. This method, dubbed the MixLow method, is similar to the Median-Effect method, the de facto standard for assessing drug interactions. The primary difference between the two is that the MixLow method uses a nonlinear mixed-effects model to estimate parameters of concentration-effect curves, rather than an ordinary least squares procedure. Parameter estimators produced by the MixLow method were more precise than those produced by the Median-Effect Method, and coverage of Loewe index confidence intervals was superior. Third, a model was developed to predict drug interactions based on scores obtained from virtual docking experiments. This represents a novel approach for modeling drug mixtures and was more useful for the data modeled here than competing approaches. The model was applied to cytotoxicity data for 45 mixtures, each composed of up to 10 selected drugs. One drug, doxorubicin, was a standard chemotherapy agent and the others were well-known natural compounds including curcumin, EGCG, quercetin, and rhein. Predictions of synergism/antagonism were made for all possible fixed-ratio mixtures, cytotoxicities of the 10 best-scoring mixtures were tested, and drug interactions were assessed. Predicted and observed responses were highly correlated (r2 = 0.83). Results suggested that some mixtures allowed up to an 11-fold reduction of doxorubicin concentrations without sacrificing efficacy. Taken together, the models developed in this project present a general approach to rational design of mixtures during preclinical drug development. ^

Catalytic antibody response to the Staphylococcus aureus virulence factor Efb

Staphylococcus aureus is a globally prevalent pathogen that can cause a wide variety of acute and chronic diseases in both adults and children, in both immune susceptible populations and healthy individuals. Its ability to cause persistent infections has been linked to multiple immune evasion strategies, including Efb-mediated complement inhibition. As new multi-drug-resistant strains emerge, therapeutic alternatives to traditional antibiotics must be developed. These experiments assessed the ability of healthy patient immunoglobulin to cleave Efb and disable the complement-inhibitory properties of Efb in vitro. Levels of immunoglobulin-mediated Efb catalysis varied both between immunoglobulin isoform/isotype and between individuals. Serum IgG showed the strongest catalytic activity of the immunoglobulin isotypes tested. Additionally, IgG hydrolyzed the virulence factor in a way that enabled only minimal binding to the complement component C3b, effectively blocking Efb-mediated inhibition of complement lysis. Salivary IgA and serum IgM did not block Efb-mediated inhibition of complement. Catalytic IgG selectively cleaved Efb and showed no cleavage of a variety of other proteins tested. Catalytic activity of IgG was inhibited by serine protease inhibitors, but not by other protease inhibitors, suggesting a serine-protease mechanism of catalysis. It is proposed that varying concentrations and activity levels of catalytic IgG between healthy individuals and those with current or recurrent S. aureus infections in both adult and pediatric populations be studied in order to assess the potential effectiveness of passive immunization therapy with catalytic monoclonal IgG. ^