MECHANISM-BASED STRATEGIES TO ENHANCE THE ACTIONS OF A

Heat shock protein 90 (HSP90) is an abundant molecular chaperone that regulates the functional stability of client oncoproteins, such as STAT3, Raf-1 and Akt, which play a role in the survival of malignant cells. The chaperone function of HSP90 is driven by the binding and hydrolysis of ATP. The geldanamycin analog, 17-AAG, binds to the ATP pocket of HSP90 leading to the degradation of client proteins. However, treatment with 17-AAG results in the elevation of the levels of antiapoptotic proteins HSP70 and HSP27, which may lead to cell death resistance. The increase in HSP70 and HSP27 protein levels is due to the activation of the transcription factor HSF-1 binding to the promoter region of HSP70 and HSP27 genes. HSF-1 binding subsequently promotes HSP70 and HSP27 gene expression. Based on this, I hypothesized that inhibition of transcription/translation of HSP or client proteins would enhance 17-AAG-mediated cytotoxicity. Multiple myeloma (MM) cell lines MM.1S, RPMI-8226, and U266 were used as a model. To test this hypothesis, two different strategies were used. For the first approach, a transcription inhibitor was combined with 17-AAG. The established transcription inhibitor Actinomycin D (Act D), used in the clinic, intercalates into DNA and blocks RNA elongation. Stress inducible (HSP90á, HSP70 and HSP27) and constitutive (HSP90â and HSC70) mRNA and protein levels were measured using real time RT-PCR and immunoblot assays. Treatment with 0.5 µM 17-AAG for 8 hours resulted in the induction of all HSP transcript and protein levels in the MM cell lines. This induction of HSP mRNA levels was diminished by 0.05 µg/mL Act D for 12 hours in the combination treatment, except for HSP70. At the protein level, Act D abrogated the 17-AAG-mediated induction of all HSP expression levels, including HSP70. Cytotoxic evaluation (Annexin V/7-AAD assay) of Act D in combination with 17-AAG suggested additive or more than additive interactions. For the second strategy, an agent that affected bioenergy production in addition to targeting transcription and translation was used. Since ATP is necessary for the proper folding and maturation of client proteins by HSP90, ATP depletion should lead to a decrease in client protein levels. The transcription and translation inhibitor 8-Chloro-Adenosine (8-Cl-Ado), currently in clinical trials, is metabolized into its cytotoxic form 8-Cl-ATP causing a parallel decrease of the cellular ATP pool. Treatment with 0.5 µM 17-AAG for 8 hours resulted in the induction of all HSP transcript and protein levels in the three MM cell lines evaluated. In the combination treatment, 10 µM 8-Cl-Ado for 20 hours did not abrogate the induction of HSP mRNA or protein levels. Since cellular bioenergy is necessary for the stabilization of oncoproteins by HSP90, immunoblot assays analyzing for expression levels of client proteins such as STAT3, Raf-1, and Akt were performed. Immunoblot assays detecting for the phosphorylation status of the translation repressor 4E-BP1, whose activity is modulated by upstream kinases sensitive to changes in ATP levels, were also performed. The hypophosphorylated state of 4E-BP1 leads to translation repression. Data indicated that treatment with 17-AAG alone resulted in a minor (<10%) change in STAT3, Raf-1, and Akt protein levels, while no change was observed for 4E-BP1. The combination treatment resulted in more than 50% decrease of the client protein levels and hypophosphorylation of 4E-BP1 in all MM cell lines. Treatment with 8-Cl-Ado alone resulted in less than 30% decrease in client protein levels as well as a decrease in 4E-BP1 phosphorylation. Cytotoxic evaluation of 8-Cl-Ado in combination with 17-AAG resulted in more than additive cytotoxicity when drugs were combined in a sequential manner. In summary, these data suggest that the mechanism-based combination of agents that target transcription, translation, or decrease cellular bioenergy with 17-AAG results in increase cytotoxicity when compared to the single agents. Such combination strategies may be applied in the clinic since these drugs are established chemotherapeutic agents or currently in clinical trials.

Government initiatives to expand access to employer-based health insurance

Employer-based health insurance is declining at records rates, which leaves an increasing number of people without access to affordable health insurance. As a result, municipalities are experiencing financial difficulties to provide health care services for their growing uninsured population. In attempt to combat this issue, three health polices have emerged within the last ten years, called Living Wage with a health insurance provision, Pay or Play, and Health Care Preference. These policies are gaining popularity as civic leaders recognize their ability to promote a public health goal by leveraging the power of city and county contracts to include a health insurance component in the competitive bidding practice for government contracts. ^ This is the first paper to conduct a retrospective analysis on whether these three health policies have been able to increase access to employer-based health insurance and/or support the local health care safety net based on the experiences of six municipalities over a 5-year period from 2001-2006. Although there was variation between the effectiveness of the policies, all three demonstrated success in that a number of contractors extended existing health insurance to employees not previously covered and the increased cost of contracting for the local government was, on average, less than 1 percent of the total operating budget. ^

Outcome-based adaptive randomization for binary data in clinical trials---Compare and contrast

Monte Carlo simulation has been conducted to investigate parameter estimation and hypothesis testing in some well known adaptive randomization procedures. The four urn models studied are Randomized Play-the-Winner (RPW), Randomized Pôlya Urn (RPU), Birth and Death Urn with Immigration (BDUI), and Drop-the-Loses Urn (DL). Two sequential estimation methods, the sequential maximum likelihood estimation (SMLE) and the doubly adaptive biased coin design (DABC), are simulated at three optimal allocation targets that minimize the expected number of failures under the assumption of constant variance of simple difference (RSIHR), relative risk (ORR), and odds ratio (OOR) respectively. Log likelihood ratio test and three Wald-type tests (simple difference, log of relative risk, log of odds ratio) are compared in different adaptive procedures. ^ Simulation results indicates that although RPW is slightly better in assigning more patients to the superior treatment, the DL method is considerably less variable and the test statistics have better normality. When compared with SMLE, DABC has slightly higher overall response rate with lower variance, but has larger bias and variance in parameter estimation. Additionally, the test statistics in SMLE have better normality and lower type I error rate, and the power of hypothesis testing is more comparable with the equal randomization. Usually, RSIHR has the highest power among the 3 optimal allocation ratios. However, the ORR allocation has better power and lower type I error rate when the log of relative risk is the test statistics. The number of expected failures in ORR is smaller than RSIHR. It is also shown that the simple difference of response rates has the worst normality among all 4 test statistics. The power of hypothesis test is always inflated when simple difference is used. On the other hand, the normality of the log likelihood ratio test statistics is robust against the change of adaptive randomization procedures. ^

Verification of the clinical implementation of the respiratory gated beam delivery technique with synchrotron-based proton irradiation

The clinical advantage for protons over conventional high-energy x-rays stems from their unique depth-dose distribution, which delivers essentially no dose beyond the end of range. In order to achieve it, accurate localization of the tumor volume relative to the proton beam is necessary. For cases where the tumor moves with respiration, the resultant dose distribution is sensitive to such motion. One way to reduce uncertainty caused by respiratory motion is to use gated beam delivery. The main goal of this dissertation is to evaluate the respiratory gating technique in both passive scattering and scanning delivery mode. Our hypothesis for the study was that optimization of the parameters of synchrotron operation and respiratory gating can lead to greater efficiency and accuracy of respiratory gating for all modes of synchrotron-based proton treatment delivery. The hypothesis is tested in two specific aims. The specific aim #1 is to assess the efficiency of respiratory-gated proton beam delivery and optimize the synchrotron operations for the gated proton therapy. A simulation study was performed and introduced an efficient synchrotron operation pattern, called variable Tcyc. In addition, the simulation study estimated the efficiency in the respiratory gated scanning beam delivery mode as well. The specific aim #2 is to assess the accuracy of beam delivery in respiratory-gated proton therapy. The simulation study was extended to the passive scattering mode to estimate the quality of pulsed beam delivery to the residual motion for several synchrotron operation patterns with the gating technique. The results showed that variable Tcyc operation can offer good reproducible beam delivery to the residual motion at a certain phase of the motion. For respiratory gated scanning beam delivery, the impact of motion on the dose distributions by scanned beams was investigated by measurement. The results showed the threshold for motion for a variety of scan patterns and the proper number of paintings for normal and respiratory gated beam deliveries. The results of specific aims 1 and 2 provided supporting data for implementation of the respiratory gating beam delivery technique into both passive and scanning modes and the validation of the hypothesis.

Assessing and applying evidence-based interventions at the community level in India as a model policy to reduce neonatal mortality rates in Nigeria

Background. The United Nations' Millennium Development Goal (MDG) 4 aims for a two-thirds reduction in death rates for children under the age of five by 2015. The greatest risk of death is in the first week of life, yet most of these deaths can be prevented by such simple interventions as improved hygiene, exclusive breastfeeding, and thermal care. The percentage of deaths in Nigeria that occur in the first month of life make up 28% of all deaths under five years, a statistic that has remained unchanged despite various child health policies. This paper will address the challenges of reducing the neonatal mortality rate in Nigeria by examining the literature regarding efficacy of home-based, newborn care interventions and policies that have been implemented successfully in India. ^ Methods. I compared similarities and differences between India and Nigeria using qualitative descriptions and available quantitative data of various health indicators. The analysis included identifying policy-related factors and community approaches contributing to India's newborn survival rates. Databases and reference lists of articles were searched for randomized controlled trials of community health worker interventions shown to reduce neonatal mortality rates. ^ Results. While it appears that Nigeria spends more money than India on health per capita ($136 vs. $132, respectively) and as percent GDP (5.8% vs. 4.2%, respectively), it still lags behind India in its neonatal, infant, and under five mortality rates (40 vs. 32 deaths/1000 live births, 88 vs. 48 deaths/1000 live births, 143 vs. 63 deaths/1000 live births, respectively). Both countries have comparably low numbers of healthcare providers. Unlike their counterparts in Nigeria, Indian community health workers receive training on how to deliver postnatal care in the home setting and are monetarily compensated. Gender-related power differences still play a role in the societal structure of both countries. A search of randomized controlled trials of home-based newborn care strategies yielded three relevant articles. Community health workers trained to educate mothers and provide a preventive package of interventions involving clean cord care, thermal care, breastfeeding promotion, and danger sign recognition during multiple postnatal visits in rural India, Bangladesh, and Pakistan reduced neonatal mortality rates by 54%, 34%, and 15–20%, respectively. ^ Conclusion. Access to advanced technology is not necessary to reduce neonatal mortality rates in resource-limited countries. To address the urgency of neonatal mortality, countries with weak health systems need to start at the community level and invest in cost-effective, evidence-based newborn care interventions that utilize available human resources. While more randomized controlled studies are urgently needed, the current available evidence of models of postnatal care provision demonstrates that home-based care and health education provided by community health workers can reduce neonatal mortality rates in the immediate future.^

Perceptions of institutional support of community -based participatory research within prevention research centers

The Institute of Medicine (IOM) report on the future of health care states that the focus on health needs to shift to the management and prevention of chronic illnesses and that academic health centers (AHCs) should play an active role in this process through community partnerships (IOM, 2002). Grant funding from the National Institutes of Health and the creation of the Centers for Disease Control and Prevention (CDC) Prevention Research Centers (PRC) across the county represent a transition toward more proactively seeking out community partnerships to better design and disseminate health promotion programs (Green, 2001). ^ The focus of the PRCs is to conduct rigorous, community-based, prevention research, to seek outcomes applicable to public health programs and policies. The PRCs work is to create and foster partnerships among public health and community organizations, to address health promotion and disease prevention issues (CDC, 2003). ^ The W.K. Kellogg Foundation defines CBPR as "a collaborative approach to research that equitably involves all partners in the research process and recognizes the unique strengths that each brings. CBPR begins with a research topic of importance to the community with the aim of combining knowledge and action for social change to improve community health." ^ In 1995, CDC asked the IOM to review the PRC program to examine the extent to which the program is providing the public health community with strategies to address public health problems in disease prevention and health promotion (IOM, 1997). No comprehensive evaluation n of the individual PRCs had ever been done (IOM, 1997). ^ The CDC was interested in understanding how it could better support the PRC program through improved management and oversight to influence the program's success. The CDC only represents one of the entities that influence the success of a PRC. Another key entity to consider is the support of and influence of the Schools of Public Health in which the PRCs reside. Using evaluation criteria similar to those that were developed by the IOM, this study examined how aspects of structural capacity of the Schools of Public Health in which the PRCs reside are perceived to influence PRC community-based research activities. ^