Laparoscopic-Simulator Box: a Simple Design for Surgical Residency Programs to Improve Trainees’ Laparoscopic Skills

Introduction: Since the introduction and evolution of laparoscopic surgery, there have been some concerns related to surgical training in this field. Laparoscopic box trainers and virtual simulators appear as useful devices which have been demonstrating effectiveness in learning surgical skills. However, these tools remain inaccessible for many centers around the world. Our intent is to share our experience in successful design to inspire others in surgical residency programs to build such boxes for training in laparoscopic techniques and also to encourage the use of simulators in educational centers. [See PDF for complete abstract]

The molecular and genetic characterization of the MADS box transcription factor {\it Drosophila\/} MEF2

The myocyte enhancer factor (MEF)-2 family of transcription factors has been implicated in the regulation of muscle transcription in vertebrates, but the precise position of these regulators within the genetic hierarchy leading to myogenesis is unclear. The MEF2 proteins bind to a conserved A/T-rich DNA sequence present in numerous muscle-specific genes, and they are expressed in the cells of the developing somites and in the embryonic heart at the onset of muscle formation in mammals. The MEF2 genes belong to the MADS box family of transcription factors, which control specific programs of gene expression in species ranging from yeast to humans. Each MEF2 family member contains two highly conserved protein motifs, the MADS domain and the MEF2-specific domain, which together provide the MEF2 factors with their unique DNA binding and dimerization properties. In an effort to further define the function of the MEF2 proteins, and to evaluate the degree of conservation shared among these factors and the phylogenetic pathways that they regulate, we sought to identify MEF2 family members in other species. In Drosophila, a homolog of the vertebrate MEF2 genes was identified and termed D-mef2. The D-MEF2 protein binds to the consensus MEF2 element and can activate transcription through tandem copies of that site. During Drosophila embryogenesis, D-MEF2 is specific to the mesoderm germ layer of the developing embryo and becomes expressed in all muscle cell types within the embryo. The role of D-mef2 in Drosophila embryogenesis was examined by generating a loss-of-function mutation in the D-mef2 gene. In embryos homozygous for this mutant allele, somatic, cardiac, and visceral muscles fail to differentiate, but precursors of these myogenic lineages are normally specified and positioned. These results demonstrate that different muscle cell types share a common myogenic differentiation program controlled by MEF2 and suggest that this program has been conserved from Drosophila to mammals. ^

Regulation of XMyoDa transcription by the binding of XMEF2A to the TATA box

MEF2 is a $\underline{\rm m}$yocyte-specific $\underline{\rm e}$nhancer-binding $\underline{\rm f}$actor that binds a conserved DNA sequence, CTA(A/T)$\sb4$TAG. A MEF2 binding site in the XMyoDa promoter overlaps with the TATA box and is required for muscle specific expression. To examine the potential role of MEF2 in the regulation of MyoD transcription during early development, the appearance of MEF2 binding activity in developing Xenopus embryos was analyzed with the electrophoretic mobility shift assay. Two genes were isolated from a X. Laevis stage 24 cDNA library that encode factors that bind the XMyoDa TFIID/MEF2 site. Both genes are highly homologous to each other, belong to the MADS ($\underline{\rm M}$CM1-$\underline{\rm A}$rg80-agamous-$\underline{\rm d}$eficiens-$\underline{\rm S}$RF) protein family, and most highly related to the mammalian MEF2A gene, hence they are designated as XMEF2A1 and XMEF2A2. Proteins encoded by both cDNAs form specific complexes with the MEF2 binding site and show the same binding specificity as the endogenous MEF2 binding activity. XMEF2A transcripts accumulate preferentially in developing somites after the appearance of XMyoD transcripts. XMEF2 protein begins to accumulate in somites at tailbud stages. Transcriptional activation of XMyoD promoter by XMEF2A required only the MADS box and MEF2-specific domain when XMEF2A is bound at the TATA box. However, a different downstream transactivation domain was required when XMEF2A activates transcription through binding to multiple upstream sites. These results suggest that different activation mechanisms are involved, depending on where the factor is bound. Mutations in several basic amino acid clusters in the MADS box inhibit DNA binding suggesting these amino acids are essential for DNA binding. Mutation of Thr-20 and Ser-36 to the negatively charged amino acid residue, aspartic acid, abolish DNA binding. XMEF2A activity may be regulated by phosphorylation of these amino acids. A dominant negative mutant was made by mutating one of the basic amino acid clusters and deleting the downstream transactivation domain. In vivo roles of MEF2 in the regulation of MyoD transcription were investigated by overexpression of wild type MEF2 and dominant negative mutant of XMEF2A in animal caps and assaying for the effects on the level of expression of MyoD genes. Overexpression of MEF2 activates the transcription of endogenous MyoD gene family while expression of a dominant negative mutant reduces the level of transcription of XMRF4 and myogenin genes. These results suggest that MEF2 is downstream of MyoD and Myf5 and that MEF2 is involved in maintaining and amplifying expression of MyoD and Myf5. MEF2 is upstream of MRF4 and myogenin and plays a role in activating their expression. ^

Cloning and characterization of the mouse ret finger protein (rfp), a B box zinc finger protein

An important question in biology is to understand the role of specific gene products in regulating embryogenesis and cellular differentiation. Many of the regulatory proteins possess specific motifs, such as the homeodomain, basic helix-loop-helix structure, zinc finger, and leucine zipper. These sequence motifs participate in specific protein-DNA, protein-RNA, and protein-protein interactions, and are important for the function of these regulatory proteins.^ The human rfp (ret finger protein) belongs to a novel zinc finger protein family, the B box zinc finger family. Most of the B box proteins, including rfp, have a conserved tripartite motif, consisting of two novel zinc fingers (the RING finger and the B box) and a coiled-coil domain. Interestingly, a fusion protein between the tripartite motif of rfp and the tyrosine kinase domain of c-ret has transforming activity. In this study, we examined the expression of rfp during mouse development, and characterized the role of the tripartite motif in rfp function.^ We cloned the mouse rfp cDNA, which shares a 98.4% homology with the human sequence at amino acid level. Such strikingly high degree of homology indicates the high evolutionary pressure on the conservation of the sequence, suggesting that rfp may have an important function. Using the somatic cell hybrid system, we assigned the rfp gene to mouse chromosome 13 and human chromosome 6. Rfp transcripts and protein were ubiquitous in day 10.5-13.5 mouse embryos; however, they were restricted in adult mice, with the highest level of expression in the testis. Rfp expression in the testis is detected only in late pachytene spermatocytes and round spermatids. In both embryos and spermatogenic cells, rfp protein was distributed within cell nuclei in a punctate pattern, similar to the PODs (PML oncogenic domains) observed with another B box protein, PML. In cultured mammalian cells, we found that rfp was indeed co-localized to the PODs with PML. Using the yeast two-hybrid system, we showed that the rfp could specifically interact with PML, and that the interaction was dependent on the distal portion of the rfp coiled-coil domain.^ We also showed that rfp could form homodimers, and both the B box and coiled-coil domain were required for proper dimerization. It seems that the proximal portion of the coiled-coil domain provides the interacting interface, while the B box zinc finger orients the coil and maintains the correct structure of the whole molecule. Our data are consistent with the zinc-binding property and structural analysis of the B box. The RING finger seems to be involved in rfp nuclear localization through interaction with other proteins. We believe that homodimerization and interaction with PML are important for the normal interaction of rfp during development and differentiation. In addition, rfp homodimerization may also be essential for the oncogenic activation of the rfp-ret fusion protein. ^

Bayesian doubly optimal group sequential designs for randomized clinical trials

When conducting a randomized comparative clinical trial, ethical, scientific or economic considerations often motivate the use of interim decision rules after successive groups of patients have been treated. These decisions may pertain to the comparative efficacy or safety of the treatments under study, cost considerations, the desire to accelerate the drug evaluation process, or the likelihood of therapeutic benefit for future patients. At the time of each interim decision, an important question is whether patient enrollment should continue or be terminated; either due to a high probability that one treatment is superior to the other, or a low probability that the experimental treatment will ultimately prove to be superior. The use of frequentist group sequential decision rules has become routine in the conduct of phase III clinical trials. In this dissertation, we will present a new Bayesian decision-theoretic approach to the problem of designing a randomized group sequential clinical trial, focusing on two-arm trials with time-to-failure outcomes. Forward simulation is used to obtain optimal decision boundaries for each of a set of possible models. At each interim analysis, we use Bayesian model selection to adaptively choose the model having the largest posterior probability of being correct, and we then make the interim decision based on the boundaries that are optimal under the chosen model. We provide a simulation study to compare this method, which we call Bayesian Doubly Optimal Group Sequential (BDOGS), to corresponding frequentist designs using either O'Brien-Fleming (OF) or Pocock boundaries, as obtained from EaSt 2000. Our simulation results show that, over a wide variety of different cases, BDOGS either performs at least as well as both OF and Pocock, or on average provides a much smaller trial. ^

Bayesian dual threshold design with Dirichlet distribution: An alternative way to frequentist multi-stage phase II designs in oncology

Many phase II clinical studies in oncology use two-stage frequentist design such as Simon's optimal design. However, they have a common logistical problem regarding the patient accrual at the interim. Strictly speaking, patient accrual at the end of the first stage may have to be suspended until all patients have events, success or failure. For example, when the study endpoint is six-month progression free survival, patient accrual has to be stopped until all outcomes from stage I is observed. However, study investigators may have concern when accrual is suspended after the first stage due to the loss of accrual momentum during this hiatus. We propose a two-stage phase II design that resolves the patient accrual problem due to an interim analysis, and it can be used as an alternative way to frequentist two-stage phase II studies in oncology. ^

Regulation of chromatin structure, Smad binding and AFP expression by the Forkhead box transcription factor: Foxa1

Transcription factors must be able to access their DNA binding sites to either activate or repress transcription. However, DNA wrapping and compaction into chromatin occludes most binding sites from ready access by proteins. Pioneer transcription factors are capable of binding their DNA elements within a condensed chromatin context and then reducing the level of nucleosome occupancy so that the chromatin structure is more accessible. This altered accessibility increases the probability of other transcription factors binding to their own DNA binding elements. My hypothesis is that Foxa1, a ‘pioneer’ transcription factor, activates alpha-fetoprotein (AFP) expression by binding DNA in a chromatinized environment, reducing the nucleosome occupancy and facilitating binding of additional transcription factors.^ Using retinoic-acid differentiated mouse embryonic stem cells, we illustrate a mechanism for activation of the tumor marker AFP by the pioneer transcription factor Foxa1 and TGF-β downstream effector transcription factors Smad2 and Smad4. In differentiating embryonic stem cells, binding of the Foxa1 forkhead box transcription factor to chromatin reduces nucleosome occupancy and levels of linker histone H1 at the AFP distal promoter. The more accessible DNA is subsequently bound by the Smad2 and Smad4 transcription factors, concurrent with activation of transcription. Chromatin immunoprecipitation analyses combined with siRNA-mediated knockdown indicate that Smad protein binding and the reduction of nucleosome occupancy at the AFP distal promoter is dependent on Foxa1. In addition to facilitating transcription factor binding, Foxa1 is also associated with histone modifications related to active gene expression. Acetylation of lysine 9 on histone H3, a mark that is associated active transcription, is dependent on Foxa1, while methylation of H3K4, also associated with active transcription, is independent of Foxa1. I propose that Foxa1 potentiates a region of chromatin to respond to Smad proteins, leading to active expression of AFP.^ These studies demonstrate one mechanism whereby a transcription factor can alter the accessibility of additional transcription factors to chromatin, by altering nucleosome positions. Specifically, Foxa1 exposes DNA so that Smad4 can bind to its regulatory element and activate transcription of the tumor-marker gene AFP.^

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.^

On Bayesian seamless phase I-II designs

Early phase clinical trial designs have long been the focus of interest for clinicians and statisticians working in oncology field. There are several standard phse I and phase II designs that have been widely-implemented in medical practice. For phase I design, the most commonly used methods are 3+3 and CRM. A newly-developed Bayesian model-based mTPI design has now been used by an increasing number of hospitals and pharmaceutical companies. The advantages and disadvantages of these three top phase I designs have been discussed in my work here and their performances were compared using simulated data. It was shown that mTPI design exhibited superior performance in most scenarios in comparison with 3+3 and CRM designs. ^ The next major part of my work is proposing an innovative seamless phase I/II design that allows clinicians to conduct phase I and phase II clinical trials simultaneously. Bayesian framework was implemented throughout the whole design. The phase I portion of the design adopts mTPI method, with the addition of futility rule which monitors the efficacy performance of the tested drugs. Dose graduation rules were proposed in this design to allow doses move forward from phase I portion of the study to phase II portion without interrupting the ongoing phase I dose-finding schema. Once a dose graduated to phase II, adaptive randomization was used to randomly allocated patients into different treatment arms, with the intention of more patients being assigned to receive more promising dose(s). Again simulations were performed to compare the performance of this innovative phase I/II design with a recently published phase I/II design, together with the conventional phase I and phase II designs. The simulation results indicated that the seamless phase I/II design outperform the other two competing methods in most scenarios, with superior trial power and the fact that it requires smaller sample size. It also significantly reduces the overall study time. ^ Similar to other early phase clinical trial designs, the proposed seamless phase I/II design requires that the efficacy and safety outcomes being able to be observed in a short time frame. This limitation can be overcome by using validated surrogate marker for the efficacy and safety endpoints.^

Looking Inside The Black Box

Intensive family preservation services (IFPS), designed to stabilize at-risk families and avert out-of-home care, have been the focus of many randomized, experimental studies. The emphasis on "gold-standard" evaluation of IFPS has resulted in fewer "black box" studies that describe actual IFPS service patterns and the fidelity with which they adhere to IFPS program theory. Intervention research is important to the advancement of programs designed to protect the safety of children, improve family functioning, as well as prevent out-of-home placement. Employing a retrospective “clinical data-mining” (CDM) methodology, this exploratory study of Families First, an IFPS program, makes use of available information extracted from client records to describe interventions and service patterns provided over a two year period. This study uncovers actual IFPS service patterns, demonstrates IFPS program fidelity, as well as reveals the usefulness of CDM as a social work research methodology. These findings are particularly valuable for program planning and treatment, policy development and evidence-based practice research.

Optimal, minimax, and Bayesian two-stage designs in two-dose phase II clinical trials

Background: For most cytotoxic and biologic anti-cancer agents, the response rate of the drug is commonly assumed to be non-decreasing with an increasing dose. However, an increasing dose does not always result in an appreciable increase in the response rate. This may especially be true at high doses for a biologic agent. Therefore, in a phase II trial the investigators may be interested in testing the anti-tumor activity of a drug at more than one (often two) doses, instead of only at the maximum tolerated dose (MTD). This way, when the lower dose appears equally effective, this dose can be recommended for further confirmatory testing in a phase III trial under potential long-term toxicity and cost considerations. A common approach to designing such a phase II trial has been to use an independent (e.g., Simon's two-stage) design at each dose ignoring the prior knowledge about the ordering of the response probabilities at the different doses. However, failure to account for this ordering constraint in estimating the response probabilities may result in an inefficient design. In this dissertation, we developed extensions of Simon's optimal and minimax two-stage designs, including both frequentist and Bayesian methods, for two doses that assume ordered response rates between doses. ^ Methods: Optimal and minimax two-stage designs are proposed for phase II clinical trials in settings where the true response rates at two dose levels are ordered. We borrow strength between doses using isotonic regression and control the joint and/or marginal error probabilities. Bayesian two-stage designs are also proposed under a stochastic ordering constraint. ^ Results: Compared to Simon's designs, when controlling the power and type I error at the same levels, the proposed frequentist and Bayesian designs reduce the maximum and expected sample sizes. Most of the proposed designs also increase the probability of early termination when the true response rates are poor. ^ Conclusion: Proposed frequentist and Bayesian designs are superior to Simon's designs in terms of operating characteristics (expected sample size and probability of early termination, when the response rates are poor) Thus, the proposed designs lead to more cost-efficient and ethical trials, and may consequently improve and expedite the drug discovery process. The proposed designs may be extended to designs of multiple group trials and drug combination trials.^

Characterization of the MLC box: A conserved {\it cis\/}-acting DNA element present in the chicken MLC1s/1c gene

The slow/cardiac alkali myosin light chain (MLC1s/1c) is a member of a multigene family whose protein products are essential for activation of the myosin ATPase. In the adult, the MLC1s/1c isoform is expressed in both cardiac and slow-twitch skeletal muscles, while it is expressed by all skeletal muscles during development.^ To elucidate the molecular mechanisms that underlie the transcriptional regulation of MLC1s/1c gene expression, the immediate 5$\sp\prime$ flanking region of the gene was isolated and shown to be capable of directing reporter gene expression. Analysis of this region revealed a 110 bp muscle-specific enhancer that includes a myocyte-specific enhancer-binding factor 2 (MEF-2) site, E-boxes, which are potential binding sites for the basic-helix-loop-helix proteins such as MyoD, and a MLC box. The focus of the thesis was to identify the role of the MLC box in expression of the MLC1s/1c gene.^ The MLC box is a member of the family of CArG box containing cis-acting DNA elements. Mutagenesis showed that the MLC box is necessary, but not sufficient, for the expression of a reporter gene linked to the 5$\sp\prime$ flanking region of the MLC1s/1c gene. Linker scanner and site-directed mutagenesis identified a number of potential sites within the 110 bp muscle-specific enhancer that may cooperate with the MLC box. These are the MEF-2 site, the E-box site, and a 10 bp element located upstream of the MEF-2 site that does not have sequence similarity with any known cis-acting element. The MLC box is capable of binding to factors present in muscle nuclear extracts, as well as to human recombinant serum response factor (SRF). Binding of SRF to the MLC box was correlated with the ability of the 5$\sp\prime$ flanking region of the MLC1s/1c gene to drive reporter gene expression. Results suggest a model in which binding of SRF to the MLC box activates expression of the MLC1s/1c gene while binding of the factors present in the nuclear extracts suppresses the expression of the gene. (Abstract shortened with permission of author.) ^