Rescue from apoptosis in early (CD34 selected) versus late (CD34 unselected) human hematopoietic cells by VLA-4 and VCAM-1 dependent adhesion to bone marrow stromal cells

The interaction of hematopoietic precursor cell with bone marrow stromal cells is assumed to be important to the survival of hematopoietic precursor cells during hematopoietic cell long-term culture. Early hematopoietic stem cells are preferentially found within the stromal adherent cell fraction in primary long-term bone marrow cultures. The purpose of this dissertation was to understand the molecular mechanisms that govern these interactions for the regulation of survival and proliferation of early versus late hematopoietic cells.^ Monoclonal antibodies to the VLA-4 recognize the alpha4 beta1 integrin receptor on human hematopoietic cells. This monoclonal antibody blocks the adhesion between early hematopoietic progenitor cells (CD34 selected cells) and stromal cells when added to cultures of these cells. Addition of the VLA-4 monoclonal antibody to cultures of stromal cells and CD34 selected cells was shown to induce apoptosis of CD34 selected cells in these CD34 selected cell/stromal cell cocultures, as measured by the terminal deoxynucleotidyl transferase (TdT)-mediated dUTP-biotin nick end-labeling method. In contrast to these experiments with early hematopoietic progenitor cells (CD34+), the level of adhesion between more differentiated cells (unfractionated hematopoietic cells) and stromal cells was not significantly altered by addition of the anti-VLA-4 monoclonal antibody. Similarly, the level of apoptosis of unfractionated hematopoietic cells was not significantly increased by the addition of anti-VLA-4 monoclonal antibody to cultures of the latter cells with stromal cells. The binding of the unfractionated cells is less than that of the CD34 selected. Since there is no difference between the alpha4 beta1 integrin expression level of the early and late myeloid cells, there may be a difference in the functional state of the integrin between the early and late myeloid cells. We also show that CD34+ selected precursor cells proliferate at a higher rate when these cells are plated on recombinant VCAM-1 molecules. These data indicate that the alpha4beta1 integrin receptor (VLA-4) plays a central role in the apoptosis rescue function which results from the anchorage-dependent growth of the CD34 selected early hematopoietic cells on stromal cells. The data suggest that these apoptosis rescue pathways have less significance as the cells mature and become anchorage-independent in their growth. These data should assist in the design of systems for the ex vivo proliferation and transduction of early hematopoietic cells for genetic therapy. ^

A summative evaluation of a HIV/AIDS Early Childhood Care, Education and Development Teacher Training Workshop in Mongu, Zambia

Objective. To conduct a summative evaluation of an Early Childhood Care, Education and Development (ECCED) Teacher Training Workshop in Mongu, Zambia by assessing changes in knowledge, attitudes and intent to use the information. ^ Study design. A matched cohort survey design was used with additional qualitative data collected by structured observation of workshop sessions, daily facilitator and participant debriefs and participant interviews. ^ Results. Matching pre and post tests were completed by 27 individuals in addition to daily debriefs, structured workshop observation and participant interviews with 22% of the group. The participant population was predominantly female individuals aged 15-44 years old that had completed high school and additional post-secondary training, been teaching children aged 0 – 8 years for 2-5 years in the Western Province and received other HIV/AIDS and ECCED education. Pre-tests indicated a strong understanding of ECCED principles and misconceptions regarding HIV transmission, prevention and the disease's impact on early childhood development. The workshop was found to significantly increase the participants' knowledge of topics covered by the curriculum (paired t-test, N=27, p = 0.004, 95% CI 1.8, 8.6). Participants began with a more limited understanding of HIV/AIDS than ECCED, but the mean gain was much greater at 7.4 +/- 12.3 points. Significantly more participants believed at post-test that HIV/AIDS education should increase for future educators. The 77.8% of participants that increased their knowledge scores at post-test expressed significantly less fear of having a child with HIV/AIDS in the classroom (Independent Samples t-test, N= 27, p = 0.011). Overall participant fear decreased 15.5%. 92.6% and 88.9% of participants planned at post-test to respectively use and share the taught information in their daily professional lives and reported on innovative strategies to communicate with the community. ^ Conclusions. Teacher training workshops can significantly increase HIV/AIDS awareness and promote positive attitudes in educators working with children affected by HIV/AIDS. Using participant suggested teaching techniques such as poems and songs and translating the materials to the local language could assist future facilitators to both culturally and professionally relate to the workshop audience as well as increase participant capacity to share the information with the local community. ^

Bayesian adaptive designs for drug combinations in early phase clinical trials

Treating patients with combined agents is a growing trend in cancer clinical trials. Evaluating the synergism of multiple drugs is often the primary motivation for such drug-combination studies. Focusing on the drug combination study in the early phase clinical trials, our research is composed of three parts: (1) We conduct a comprehensive comparison of four dose-finding designs in the two-dimensional toxicity probability space and propose using the Bayesian model averaging method to overcome the arbitrariness of the model specification and enhance the robustness of the design; (2) Motivated by a recent drug-combination trial at MD Anderson Cancer Center with a continuous-dose standard of care agent and a discrete-dose investigational agent, we propose a two-stage Bayesian adaptive dose-finding design based on an extended continual reassessment method; (3) By combining phase I and phase II clinical trials, we propose an extension of a single agent dose-finding design. We model the time-to-event toxicity and efficacy to direct dose finding in two-dimensional drug-combination studies. We conduct extensive simulation studies to examine the operating characteristics of the aforementioned designs and demonstrate the designs' good performances in various practical scenarios.^

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.

Bayesian adaptive designs in early phase clinical trials

There are two practical challenges in the phase I clinical trial conduct: lack of transparency to physicians, and the late onset toxicity. In my dissertation, Bayesian approaches are used to address these two problems in clinical trial designs. The proposed simple optimal designs cast the dose finding problem as a decision making process for dose escalation and deescalation. The proposed designs minimize the incorrect decision error rate to find the maximum tolerated dose (MTD). For the late onset toxicity problem, a Bayesian adaptive dose-finding design for drug combination is proposed. The dose-toxicity relationship is modeled using the Finney model. The unobserved delayed toxicity outcomes are treated as missing data and Bayesian data augment is employed to handle the resulting missing data. Extensive simulation studies have been conducted to examine the operating characteristics of the proposed designs and demonstrated the designs' good performances in various practical scenarios.^