19 resultados para Two-stage PLS


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The prevalence of obesity has continued to rise over the last several decades in the United States lending to overall increases in risk for chronic diseases including many types of cancer. In contrast, reduction in energy consumption via calorie restriction (CR) has been shown to be a potent inhibitor of carcinogenesis across a broad range of species and tumor types. Previous data has demonstrated differential signaling through Akt and mTOR via the IGF-1R and other growth factor receptors across the diet-induced obesity (DIO)/CR spectrum. Furthermore, mTORC1 is known to be regulated directly via nutrient availability, supporting its role in the link between epithelial carcinogenesis and diet-induced obesity. In an effort to better understand the importance of mTORC1 in the context of both positive and negative energy balance during epithelial carcinogenesis, we have employed the use of specific pharmacological inhibitors, rapamycin (mTORC1 inhibitor) and metformin (AMPK activator) to target mTORC1 or various components of this pathway during skin tumor promotion. Two-stage skin carcinogenesis studies demonstrated that mTORC1 inhibition via rapamycin, metformin or combination treatments greatly inhibited skin tumor development in normal, overweight and obese mice. Furthermore, mechanisms by which these chemopreventive agents may be exerting their anti-tumor effects were explored. In addition, the effect of these compounds on the epidermal proliferative response was analyzed and drastic decreases in epidermal hyperproliferation and hyperplasia were found. Rapamycin also inhibited dermal inflammatory cell infiltration in a dose-dependent manner. Both compounds also blocked or attenuated TPA-induced signaling through epidermal mTORC1 as well as several downstream targets. In addition, inhibition of this pathway by metformin appeared to be, at least in part, dependent on AMPK activation in the skin. Overall, the data indicate that pharmacological strategies targeting this pathway offset the tumor-enhancing effects of DIO and may serve as possible CR mimetics. They suggest that mTORC1 contributes significantly to the process of skin tumor promotion, specifically during dietary energy balance effects. Exploiting the mechanistic information underlying dietary energy balance responsive pathways will help translate decades of research into effective strategies for prevention of epithelial carcinogenesis.

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The development of targeted therapy involve many challenges. Our study will address some of the key issues involved in biomarker identification and clinical trial design. In our study, we propose two biomarker selection methods, and then apply them in two different clinical trial designs for targeted therapy development. In particular, we propose a Bayesian two-step lasso procedure for biomarker selection in the proportional hazards model in Chapter 2. In the first step of this strategy, we use the Bayesian group lasso to identify the important marker groups, wherein each group contains the main effect of a single marker and its interactions with treatments. In the second step, we zoom in to select each individual marker and the interactions between markers and treatments in order to identify prognostic or predictive markers using the Bayesian adaptive lasso. In Chapter 3, we propose a Bayesian two-stage adaptive design for targeted therapy development while implementing the variable selection method given in Chapter 2. In Chapter 4, we proposed an alternate frequentist adaptive randomization strategy for situations where a large number of biomarkers need to be incorporated in the study design. We also propose a new adaptive randomization rule, which takes into account the variations associated with the point estimates of survival times. In all of our designs, we seek to identify the key markers that are either prognostic or predictive with respect to treatment. We are going to use extensive simulation to evaluate the operating characteristics of our methods.^

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This thesis project is motivated by the potential problem of using observational data to draw inferences about a causal relationship in observational epidemiology research when controlled randomization is not applicable. Instrumental variable (IV) method is one of the statistical tools to overcome this problem. Mendelian randomization study uses genetic variants as IVs in genetic association study. In this thesis, the IV method, as well as standard logistic and linear regression models, is used to investigate the causal association between risk of pancreatic cancer and the circulating levels of soluble receptor for advanced glycation end-products (sRAGE). Higher levels of serum sRAGE were found to be associated with a lower risk of pancreatic cancer in a previous observational study (255 cases and 485 controls). However, such a novel association may be biased by unknown confounding factors. In a case-control study, we aimed to use the IV approach to confirm or refute this observation in a subset of study subjects for whom the genotyping data were available (178 cases and 177 controls). Two-stage IV method using generalized method of moments-structural mean models (GMM-SMM) was conducted and the relative risk (RR) was calculated. In the first stage analysis, we found that the single nucleotide polymorphism (SNP) rs2070600 of the receptor for advanced glycation end-products (AGER) gene meets all three general assumptions for a genetic IV in examining the causal association between sRAGE and risk of pancreatic cancer. The variant allele of SNP rs2070600 of the AGER gene was associated with lower levels of sRAGE, and it was neither associated with risk of pancreatic cancer, nor with the confounding factors. It was a potential strong IV (F statistic = 29.2). However, in the second stage analysis, the GMM-SMM model failed to converge due to non- concaveness probably because of the small sample size. Therefore, the IV analysis could not support the causality of the association between serum sRAGE levels and risk of pancreatic cancer. Nevertheless, these analyses suggest that rs2070600 was a potentially good genetic IV for testing the causality between the risk of pancreatic cancer and sRAGE levels. A larger sample size is required to conduct a credible IV analysis.^

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The present study was designed to determine the potential anticarcinogenic activity of naturally occurring coumarins and their mechanism of action. The results indicated that several naturally occurring coumarins including bergamottin, coriandrin, imperatorin, isopimpinellin, and ostruthin, to which humans are routinely exposed in the diet, were effective inhibitors and/or inactivators of CYP1A1-mediated ethoxyresorufin-O-dealkylase (EROD) or CYP2B1-mediated pentoxyresorufin-O-dealkylase (PROD) in mouse liver microsomes. In addition, bergamottin and corandrin were also found to be inhibitors of purified human P450 1A1 in vitro. Further studies with coriandrin revealed that this compound was a mechanism-based inactivator of P450 1A1 and covalently bound to the P450 1A1 apoprotein. In cultured mouse keratinocytes, bergamottin and coriandrin effectively inhibited the B(a) P metabolism and significantly decreased covalent binding of B(a) P and DMBA to keratinocyte DNA and anti-diol-epoxide-DNA adducts derived from both B(a) P and DMBA in keratinocytes. The data from in vivo experiments showed that bergamottin and coriandrin were potent inhibitors of covalent binding of B (a) P to epidermal DNA and the formation of (+) anti BPDE-DNA adduct, whereas imperatorin and isopimpinellin were more potent inhibitors of covalent binding of DMBA to epidermal DNA. The ability of coumarins to inhibit covalent binding of B (a) P to DNA in mouse epidermis was positively correlated with their inhibitory effect P450 1A1 in vitro, while the inhibitory effect of coumarins on covalent binding of DMBA to epidermal DNA was positively correlated with their inhibitory effects on P450 2B1 and negatively to their inhibitory activity toward P450 1A1. The data from tumor experiments indicated that bergamottin, ostruthin, and coriandrin inhibited tumor initiation by B (a) P in a two-stage carcinogenesis protocol. Bergamottin was most effective in this regard and produced a dose dependent inhibition of papilloma formation in these experiments. In addition, imperatorin was an effective inhibitor of skin tumorigenesis induced by DMBA in SENCAR mouse skin using both a two-stage and a complete carcinogenesis protocol. At dose levels higher than those effective against DMBA, imperatorin also inhibited tumor initiation by B (a) P. The results to date demonstrate that several naturally occurring coumarins possess the ability to block tumor initiation and tumorigenesis by PAHs such as B (a) P and DMBA through inhibition of the P450s involved in the metabolic activation of these hydrocarbons. A working model for the involvement of specific P450s in the metabolic activation of these two PAHs was proposed. ^