Progestational agents and preterm birth: An updated review of the literature

The preterm birth rate has been increasing over time in the United States, causing a large social and individual financial burden. Though the cause of preterm birth is now known, risk factors such as a previous preterm birth and a short cervical length have been identified as possible predictors. There are many contributing social and behavioral factors that play a role was well as medical problems that occur before and during pregnancy. Though there have been prevention methods identified, such as prenatal care, tocolytic therapy and cervical cerclage, none of these methods have shown to definitively prevent preterm birth over a long period of time. 17 alpha hydroxyprogesterone has been recognized as a possible prevention method for women at high risk for preterm birth. Three out of the five studies assessed in this review showed a significant reduction in preterm birth with administration of progesterone, both for women with a previous preterm birth and with a short cervical length. Currently there is no standard of care for those at high risk for preterm birth. More large clinical trials need to be conducted to determine if this progesterone for the prevention of preterm birth is effective. ^

Bayesian Adaptive Designs for Early Phase Clinical Trials

My dissertation focuses mainly on Bayesian adaptive designs for phase I and phase II clinical trials. It includes three specific topics: (1) proposing a novel two-dimensional dose-finding algorithm for biological agents, (2) developing Bayesian adaptive screening designs to provide more efficient and ethical clinical trials, and (3) incorporating missing late-onset responses to make an early stopping decision. Treating patients with novel biological agents is becoming a leading trend in oncology. Unlike cytotoxic agents, for which toxicity and efficacy monotonically increase with dose, biological agents may exhibit non-monotonic patterns in their dose-response relationships. Using a trial with two biological agents as an example, we propose a phase I/II trial design to identify the biologically optimal dose combination (BODC), which is defined as the dose combination of the two agents with the highest efficacy and tolerable toxicity. A change-point model is used to reflect the fact that the dose-toxicity surface of the combinational agents may plateau at higher dose levels, and a flexible logistic model is proposed to accommodate the possible non-monotonic pattern for the dose-efficacy relationship. During the trial, we continuously update the posterior estimates of toxicity and efficacy and assign patients to the most appropriate dose combination. We propose a novel dose-finding algorithm to encourage sufficient exploration of untried dose combinations in the two-dimensional space. Extensive simulation studies show that the proposed design has desirable operating characteristics in identifying the BODC under various patterns of dose-toxicity and dose-efficacy relationships. Trials of combination therapies for the treatment of cancer are playing an increasingly important role in the battle against this disease. To more efficiently handle the large number of combination therapies that must be tested, we propose a novel Bayesian phase II adaptive screening design to simultaneously select among possible treatment combinations involving multiple agents. Our design is based on formulating the selection procedure as a Bayesian hypothesis testing problem in which the superiority of each treatment combination is equated to a single hypothesis. During the trial conduct, we use the current values of the posterior probabilities of all hypotheses to adaptively allocate patients to treatment combinations. Simulation studies show that the proposed design substantially outperforms the conventional multi-arm balanced factorial trial design. The proposed design yields a significantly higher probability for selecting the best treatment while at the same time allocating substantially more patients to efficacious treatments. The proposed design is most appropriate for the trials combining multiple agents and screening out the efficacious combination to be further investigated. The proposed Bayesian adaptive phase II screening design substantially outperformed the conventional complete factorial design. Our design allocates more patients to better treatments while at the same time providing higher power to identify the best treatment at the end of the trial. Phase II trial studies usually are single-arm trials which are conducted to test the efficacy of experimental agents and decide whether agents are promising to be sent to phase III trials. Interim monitoring is employed to stop the trial early for futility to avoid assigning unacceptable number of patients to inferior treatments. We propose a Bayesian single-arm phase II design with continuous monitoring for estimating the response rate of the experimental drug. To address the issue of late-onset responses, we use a piece-wise exponential model to estimate the hazard function of time to response data and handle the missing responses using the multiple imputation approach. We evaluate the operating characteristics of the proposed method through extensive simulation studies. We show that the proposed method reduces the total length of the trial duration and yields desirable operating characteristics for different physician-specified lower bounds of response rate with different true response rates.

A role for p53 in sensing DNA damage and triggering apoptotic responses to anticancer agents

The p53 tumor suppressor protein plays a major role in cellular responses to anticancer agents that target DNA. DNA damage triggers the accumulation of p53, resulting in the transactivation of genes, which induce cell cycle arrest to allow for repair of the damaged DNA, or signal apoptosis. The exact role that p53 plays in sensing DNA damage and the functional consequences remain to be investigated. The main goal of this project was to determine if p53 is directly involved in sensing DNA damage induced by anticancer agents and in mediating down-stream cellular responses. This was tested in two experimental models of DNA damage: (1) DNA strand termination caused by anticancer nucleoside analogs and (2) oxidative DNA damage induced by reactive oxygen species (ROS). Mobility shift assays demonstrated that p53 and DNA-PK/Ku form a complex that binds DNA containing the anticancer nucleoside analog gemcitabine monophosphate in vitro. Binding of the p53-DNA-PK/Ku complex to the analog-containing DNA inhibited DNA strand elongation. Furthermore, treatment of cells with gemcitabine resulted in the induction of apoptosis, which was associated with the accumulation of p53 protein, its phosphorylation, and nuclear localization, suggesting the activation of p53 to trigger apoptosis following gemcitabine induced DNA strand termination. The role of p53 as a DNA damage sensor was further demonstrated in response to oxidative DNA damage. Protein pull-down assays demonstrated that p53 complexes with OGG1 and APE, and binds DNA containing the oxidized DNA base 8-oxoG. Importantly, p53 enhances the activities of APE and OGG1 in excising the 8-oxoG residue as shown by functional assays in vitro. This correlated with the more rapid removal of 8-oxoG from DNA in intact cells with wild-type p53 exposed to exogenous ROS stress. Interestingly, persistent exposure to ROS resulted in the accelerated onset of apoptosis in cells with wild-type p53 when compared to isogenic cells lacking p53. Apoptosis in p53+/+ cells was associated with accumulation and phosphorylation of p53 and its nuclear localization. Taken together, these results indicate that p53 plays a key role in sensing DNA damage induced by anticancer nucleoside analogs and ROS, and in triggering down-stream apoptotic responses. This study provides new mechanistic insights into the functions of p53 in cellular responses to anticancer agents. ^

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.

An Innovative Phase I Trial Design Allowing for the Identification of Multiple Potential Maximum Tolerated Doses with Combination Therapy of Targeted Agents

Treatment for cancer often involves combination therapies used both in medical practice and clinical trials. Korn and Simon listed three reasons for the utility of combinations: 1) biochemical synergism, 2) differential susceptibility of tumor cells to different agents, and 3) higher achievable dose intensity by exploiting non-overlapping toxicities to the host. Even if the toxicity profile of each agent of a given combination is known, the toxicity profile of the agents used in combination must be established. Thus, caution is required when designing and evaluating trials with combination therapies. Traditional clinical design is based on the consideration of a single drug. However, a trial of drugs in combination requires a dose-selection procedure that is vastly different than that needed for a single-drug trial. When two drugs are combined in a phase I trial, an important trial objective is to determine the maximum tolerated dose (MTD). The MTD is defined as the dose level below the dose at which two of six patients experience drug-related dose-limiting toxicity (DLT). In phase I trials that combine two agents, more than one MTD generally exists, although all are rarely determined. For example, there may be an MTD that includes high doses of drug A with lower doses of drug B, another one for high doses of drug B with lower doses of drug A, and yet another for intermediate doses of both drugs administered together. With classic phase I trial designs, only one MTD is identified. Our new trial design allows identification of more than one MTD efficiently, within the context of a single protocol. The two drugs combined in our phase I trial are temsirolimus and bevacizumab. Bevacizumab is a monoclonal antibody targeting the vascular endothelial growth factor (VEGF) pathway which is fundamental for tumor growth and metastasis. One mechanism of tumor resistance to antiangiogenic therapy is upregulation of hypoxia inducible factor 1α (HIF-1α) which mediates responses to hypoxic conditions. Temsirolimus has resulted in reduced levels of HIF-1α making this an ideal combination therapy. Dr. Donald Berry developed a trial design schema for evaluating low, intermediate and high dose levels of two drugs given in combination as illustrated in a recently published paper in Biometrics entitled “A Parallel Phase I/II Clinical Trial Design for Combination Therapies.” His trial design utilized cytotoxic chemotherapy. We adapted this design schema by incorporating greater numbers of dose levels for each drug. Additional dose levels are being examined because it has been the experience of phase I trials that targeted agents, when given in combination, are often effective at dosing levels lower than the FDA-approved dose of said drugs. A total of thirteen dose levels including representative high, intermediate and low dose levels of temsirolimus with representative high, intermediate, and low dose levels of bevacizumab will be evaluated. We hypothesize that our new trial design will facilitate identification of more than one MTD, if they exist, efficiently and within the context of a single protocol. Doses gleaned from this approach could potentially allow for a more personalized approach in dose selection from among the MTDs obtained that can be based upon a patient’s specific co-morbid conditions or anticipated toxicities.

IMMUNOLOGICAL AND CYTOLOGICAL INVESTIGATION OF GAMMA INTERFERON PRODUCTION IN HUMAN T-LYMPHOCYTES INDUCED BY PMA AND PHA (IMMUNOGOLD, CELL CYCLE ANALYSIS)

The present study examined cellular mechanisms involved in the production and secretion of human (gamma)IFN. The hypothesis of this investigation was that (gamma)IFN is an export glycoprotein whose synthesis in human T lymphocytes is dependent on membrane stimulation, polypeptide synthesis in the rough endoplasmic reticulum, packaging in the Golgi complex, and release from the cell by exocytosis.^ The model system for this examination utilized T lymphocytes from normal donors and patients with chronic lymphocytic leukemia (CLL) induced in vitro with the tumor promoter, phorbol 12-myristate 13-acetate (PMA) and the lectin, phytohemagglutinin (PHA) to produce (gamma)IFN. This study reconfirmed the ability of PMA and PHA to synergistically induce (gamma)IFN production in normal T lymphocytes, as measured by viral inhibition assays and radio-immunoassays for (gamma)IFN. The leukemic T cells were demonstrated to produce (gamma)IFN in response to treatment with PHA. PMA treatment also induced (gamma)IFN production in the leukemic T cells, which was much greater than that observed in similarly treated normal T cells. In these same cells, however, combined treatment of the agents was shown to be ineffective at inducing (gamma)IFN production beyond the levels stimulated by the individual agents. In addition, the present study reiterated the synergistic effect of PMA/PHA on the stimulation of growth kinetics in normal T cells. The cell cycle of the leukemic T cells was also responsive to treatment with the agents, particularly with PMA treatment. A number of morphological alterations were attributed to PMA treatment including the acquisition of an elongated configuration, nuclear folds, and large cytoplasmic vacuoles. Many of the effects were observed to be reversible with dilution of the agents, and reversion to this state occurred more rapidly in the leukemic T cells. Most importantly, utilization of a thin section immuno-colloidal gold labelling technique for electron microscopy provided, for the first time, direct evidence of the cellular mechanism of (gamma)IFN production and secretion. The results of this latter study support the idea that (gamma)IFN is produced in the rough endoplasmic reticulum, transferred to the Golgi complex for accumulation and packaging, and released from the T cells by exocytosis. ^

Generation of an hTERT-restricted, CMV-augmented oncolytic adenovirus capable of tumor-specific transgene expression: Development, characterization, and optimization

Current shortcomings in cancer therapy require the generation of new, broadly applicable, potent, targeted treatments. Here, an adenovirus is engineered to replicate specifically in cells with active human telomerase promotion using a modified hTERT promoter, fused to a CMV promoter element. The virus was also modified to contain a visible reporter transgene, GFP. The virus, Ad/hTC-GFP-E1 was characterized in vitro and demonstrated tumor specific activity both by dose and over time course experiments in a variety of cell lines. In vivo, Ad/hTC-GFP-E1 was affected at suppressing tumor growth and providing a survival benefit without causing any measurable toxicity. To increase the host range of the vector, the fiber region was modified to contain an RGD-motif. The vector, AdRGD/hTC-GFP-E1, was recharacterized in vitro, revealing heightened levels of infectivity and toxicity however maintaining a therapeutic window between cancer and normal cell toxicity. AdRGD/hTC-GFP-E1 was administered in vivo by limb perfusion and was observed to be tumor specific both in expression and replication. To further enhance the efficacy of viral vectors in lung delivery, asthma medications were investigated for their abilities to enhance transgene delivery and expression. A combination of bronchodilators, mast cell inhibitors, and mucolytic agents was devised which demonstrated fold increases in expression in immunocompetent mouse lungs as single agents and more homogenous, intense levels of expression when done in combination of all agents. To characterize the methods in which some cancers are resistant or may become resistant to oncolytic treatments, several small molecule inhibitors of metabolic pathways were applied in combination with oncolytic infection in vitro. SP600125 and PD 98059, respective JNK and ERK inhibitors, successfully suppressed oncolytic toxicity, however did not affect infectivity or transgene expression of Ad/hTC-GFP-E1. JNK and ERK inhibition did significantly suppress viral replication, however, as analyzed by lysate transfer and titration assays. In contrast, SB 203580, an inhibitor for p38, did not demonstrate any protective effects with infected cells. Flow cytometric analysis indicated a possible correlation with G1 arrest and suppressed viral production, however more compounds must be investigated to clarify this observation. ^

Mechanism of IFN-induced apoptosis and sensitization by the proteasome inhibitor bortezomib in bladder cancer cells

Bladder cancer is the fifth most common cancer with more than 50,000 cases diagnosed each year. Interferon-α (IFNα) is mostly used in combination with BCG for the treatment of transitional cell carcinoma (TCC). To examine the effects of IFNα on bladder cancer cells, I analyzed a panel of 20 bladder cancer cell lines in terms of their sensitivity to IFNα-induced apoptosis and the underlying mechanisms. I identified three categories: cells that die after 48hr, after 72h, and cells resistant even after 72hr of IFNα treatment. Examination of the IFN-signal transduction pathway revealed that the defect was not due to abrogation of IFN signaling. Further analysis demonstrated dependency of IFN-induced apoptosis on caspase-8, implicating the role of death receptors in IFN-induced cell death. Of the six most-IFN-sensitive cell lines, the majority upregulated Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) at the mRNA and protein level and IFN-induced cell death was mediated through TRAIL, while a minority of the most IFN-sensitive cells undergo apoptosis through a TNFα-dependent mechanism. IFNα resistance was due to either absence of TRAIL upregulation at the mRNA or protein level, resistance to exogenous rhTRAIL itself or lack of sensitization to IFN-induced cell death. Downregulation of XIAP, or XIAP inactivation through its regulator NFκB has been reported to sensitize tumor cells to death receptor-induced cell death. Baseline and IFN-inducible XIAP levels were examined in the most and least IFN-sensitive cells, knocking down XIAP and the p65 subunit of NFκB enhanced IFN-induced cell death, implicating XIAP downregulation as a mechanism through which bladder cancer cells are sensitized to IFN-induced apoptosis. To determine whether or not the proteasome inhibitor Bortezomib (BZ) sensitizes bladder cancer cells to IFN-induced cell death, the combined effects of IFN+BZ and the underlying molecular mechanisms were examined both in vitro and in vivo using two bladder xenograft models. In both models, tumor growth inhibition was the result of either increased cell death of tumor cells exerted by the two agents and/or inhibition of angiogenesis. In vitro, MAP downregulation in response to the combined treatment of IFN+BZ accounts for one of the mechanisms mediating IFN+BZ cell death in bladder cancer cells. ^

Anticancer activity of OSW-1: Induction of apoptotic pathway in leukemia and autophagic death in pancreatic cancer through a calcium mediated mechanism

OSW-1 is a natural compound found in the bulbs of Orninithogalum saudersiae, a member of the lily family. This compound exhibits potent antitumor activity in vitro with the IC50 values in the low nanomolar concentration range and demonstrating its ability to kill drug resistant cancer cells. In an effort to discover the unknown mechanism of action of this novel compound as a potential anticancer agent, the main objective of this research project was to test the cytotoxicity of OSW-1 against various cancer lines, and to elucidate the biochemical and molecular mechanism(s) responsible for the anticancer activity of OSW-1. My initial investigation revealed that OSW-1 is effective in killing various cancer cells including pancreatic cancer cells and primary leukemia cells resistant to standard chemotherapeutic agents, and that non-malignant cells were less sensitive to this compound. Further studies revealed that in leukemia cells, OSW-1 causes a significant increase in cytosolic calcium and activates rapid calcium-dependent apoptosis by the intrinsic pathway. Additionally, OSW-1 treatment leads to the degradation of the ER chaperone GRP78/BiP implicated in the survival of cancer cells. Meanwhile, it shows a reduced sensitivity in respiration-deficient sub-clones of leukemia cells which had higher basal levels of Ca2+. Mechanistically, it was further demonstrated that cytosolic Ca2+ elevations were observed together with Na+ decreases in the cytosol, suggesting OSW-1 caused the calcium overload through inhibition of the Na+/Ca 2+exchanger (NCX). Although similar calcium disturbances were observed in pancreatic cancer cells, mechanistic studies revealed that autophagy served as an initial pro-survival mechanism subsequent to OSW-1 treatment but extended autophagy caused inevitable cell death. Furthermore, combination of OSW-1 with autophagy inhibitors significantly enhances the cytotoxicity against pancreatic cancer cells. Taken together, this study revealed the novel mechanism of OSW-1 which is through inhibition of the Na+/Ca2+ exchanger and provides a basis for using this compound in combination with other agents for the treatment of pancreatic cancer which is resistant to available anticancer drugs. ^