A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES

The considerable search for synergistic agents in cancer research is motivated by the therapeutic benefits achieved by combining anti-cancer agents. Synergistic agents make it possible to reduce dosage while maintaining or enhancing a desired effect. Other favorable outcomes of synergistic agents include reduction in toxicity and minimizing or delaying drug resistance. Dose-response assessment and drug-drug interaction analysis play an important part in the drug discovery process, however analysis are often poorly done. This dissertation is an effort to notably improve dose-response assessment and drug-drug interaction analysis. The most commonly used method in published analysis is the Median-Effect Principle/Combination Index method (Chou and Talalay, 1984). The Median-Effect Principle/Combination Index method leads to inefficiency by ignoring important sources of variation inherent in dose-response data and discarding data points that do not fit the Median-Effect Principle. Previous work has shown that the conventional method yields a high rate of false positives (Boik, Boik, Newman, 2008; Hennessey, Rosner, Bast, Chen, 2010) and, in some cases, low power to detect synergy. There is a great need for improving the current methodology. We developed a Bayesian framework for dose-response modeling and drug-drug interaction analysis. First, we developed a hierarchical meta-regression dose-response model that accounts for various sources of variation and uncertainty and allows one to incorporate knowledge from prior studies into the current analysis, thus offering a more efficient and reliable inference. Second, in the case that parametric dose-response models do not fit the data, we developed a practical and flexible nonparametric regression method for meta-analysis of independently repeated dose-response experiments. Third, and lastly, we developed a method, based on Loewe additivity that allows one to quantitatively assess interaction between two agents combined at a fixed dose ratio. The proposed method makes a comprehensive and honest account of uncertainty within drug interaction assessment. Extensive simulation studies show that the novel methodology improves the screening process of effective/synergistic agents and reduces the incidence of type I error. We consider an ovarian cancer cell line study that investigates the combined effect of DNA methylation inhibitors and histone deacetylation inhibitors in human ovarian cancer cell lines. The hypothesis is that the combination of DNA methylation inhibitors and histone deacetylation inhibitors will enhance antiproliferative activity in human ovarian cancer cell lines compared to treatment with each inhibitor alone. By applying the proposed Bayesian methodology, in vitro synergy was declared for DNA methylation inhibitor, 5-AZA-2'-deoxycytidine combined with one histone deacetylation inhibitor, suberoylanilide hydroxamic acid or trichostatin A in the cell lines HEY and SKOV3. This suggests potential new epigenetic therapies in cell growth inhibition of ovarian cancer cells.

DEFINING THE ROLE OF EGFR ACETYLATION IN CELLULAR PROCESSES: CLINICAL IMPLICATIONS

Epidermal growth factor receptor (EGFR) is a cell membrane tyrosine kinase receptor and plays a pivotal role in regulating cell growth, differentiation, cell cycle, and tumorigenesis. Deregulation of EGFR causes many diseases including cancers. Intensive investigation of EGFR alteration in human cancers has led to profound progress in developing drugs to target EGFR-mediated cancers. While exploring possible synergistic enhancement of therapeutic efficacy by combining EGFR tyrosine kinase inhibitors (TKI) with other anti-cancer agents, we observed that suberoylanilide hydroxamic acid (SAHA, a deacetylase inhibitor) enhanced TKI-induced cancer cell death, which further led us to question whether SAHA-mediated sensitization to TKI was associated with EGFR acetylation. What we know so far is that SAHA can inhibit class I and II histone deacetylases (HDACs), which could possibly preserve acetylation of underlying HDAC-targeted proteins including both histone and non-histone proteins. In addition, it has been reported that an HDAC inhibitor, TSA, enhanced EGFR phosphorylation in ovarian cancer cells. EGFR acetylation has also been reported to play a role in the regulation of EGFR endocytosis recently. These observations indicate that there might be an intrinsic correlation between acetylation and phosphorylation of EGFR. In other words, the interplay between EGFR acetylation and phosphorylation may contribute to HDAC inhibitors (HDACi)-augmented EGFR phosphorylation. In this investigation, we showed that CBP acetyltransferase acetylated EGFR in vivo. In response to EGF stimulation, CBP rapidly translocated from the nucleus to the cytoplasm. We also demonstrated protein-protein interaction between CBP and EGFR as well as the enhancement of EGFR acetylation by CBP. Moreover, EGFR acetylation enhanced EGFR tyrosine phosphorylation and augmented its association with Src kinase. Acetylation-deficient EGFR mutant (EGFR-K3R) significantly reduced the function and activity of EGFR. Furthermore, ectopic expression of EGFR-K3R mutant abrogated its ability to respond to EGF-induced cell proliferation, DNA synthesis, and anchorage-independent growth using cell-based assays and tumor growth in nude mice. In addition, we demonstrated that EGFR expression was associated with SAHA resistance in the treatment of cancer cells that overexpress EGFR. The knockdown of EGFR in MDA-MB-468 breast cancer cells could sensitize the cells to respond to SAHA. The overexpression of EGFR in SAHA-sensitive MDA-MB-453 breast cancer cells rendered the cells resistant to SAHA. Together, these findings suggest that EGFR plays an important role in SAHA resistance in breast carcinoma cells that we tested. The combination therapy of HDACi with TKI has been proposed for treating cancers with aberrant expression of EGFR. The evidence from pre-clinical or clinical trials demonstrated significant enhancement of therapeutic efficacy by using such a combination therapy. Our in vivo study also demonstrated that the combination of SAHA and TKI for the treatment of breast cancer significantly reduced tumor burden compared with either SAHA or TKI alone. The significance of our study elucidated another possible underlying molecular mechanism by which HDACi mediated sensitization to TKI. Our results unveiled a critical role of EGFR acetylation that regulates EGFR tyrosine phosphorylation and may further provide an experiment-based rationale for combinatorial targeted therapy.