Breast

The purpose of this research is to compare the surface dose outside the treatment area for different breast cancer irradiation modalities using Thermoluminescence Dosimeters (TLDs). Five different modalities are included in this study: Accuboost, Photon boost, Electron boost, Strut-Adjusted Volume Implant (SAVI), and Mammosite Multi-lumen (ML).Six points of interest (POI) on the breast cancer patients had been selected for the TLDs placement. Data from 25 breast cancer patients at Lynn Cancer Institute of the Boca Raton Regional Hospital were included in the study. The measured percentage ranges of the averaged doses at the six POIs for the different modalities are: Sternum 0.26% - 3.26%, Shoulder 0.33% - 2.79%, Eye 0.26% - 1.32%, Thyroid 0.20% - 2.75%, CLB 0.2% - 5.46%, Lower Abdomen 0.16% - 2.25%.

We attempted to understand the molecular regulators that impact inflammation using a rat model of human sensation-seeking/risk-taking trait for drug and stress vulnerability, based on their exploratory behavior displaying high rates (HRs) or low rates of locomotor reactivity (LRs) to environmental stress. We found that HRs have a pro-inflammatory phenotype as indicated by increased protein expression of the inflammatory cytokine TNF-(Sa(B. Furthermore, we found that HRs have a lower gene expression of the glucocorticoid receptor and histone deacetylase 2 which are known to play an immunosuppressive role. Autophagy (macroautophagy) is a homeostatic process needed for cell maintenance, growth and proliferation and known to assist in tumor survival. FYVE and coiled-coil domain containing 1 (FYCO1) is a novel protein implicated to assist in the plus-end directed trafficking and fusion of autophagosomes. In these studies, we show that FYCO1 gene expression among human breast cell lines of varying degrees of malignancy.

A simple method to verify the total treatment time generated by the treatment planning system (TPS) when the CONTURA MLB or the SAVI applicator are used for APBI treatments has been developed. The method compares the time generated by the TPS to a predicted time, calculated by inserting parameters obtained from the TPS in equations generated in this Thesis. The equations were generated by linearly fitting data from clinical cases that had been treated using the Contura MLB or the SAVI applicator at the Lynn Cancer Institute of the Boca Raton Regional Hospital. The parameters used were the PTV coverage, Air Kerma Strength, Balloon Volume (Contura data fit) and Evaluation PTV (SAVI data fit). As an outcome of this research, it is recommended that the plan should be reevaluated when the percent difference between the generated and the predicted times exceeds 5% for the Contura MLB, or 10% for the SAVI.

This study investigated potential apoptotic and anti-proliferative effects of the phytochemicals, genistein and anthocyanin extract, as single and combined treatments in MCF-7 human breast cancer cells. Cells were exposed to single and combined treatments with the phytochemiclas for 48 and 72 hours. Cell viability was assessed using the MTT bioassay. Apoptosis induction was assessed using acridine orange ethidium bromide and rhodamine 123 ethidium bromide fluorescence assays. Both singe and combination treatments induced dose- and time-dependent apoptotic cell death in MCF-7 cells. The percentage of apoptosis was higher in combination treatments than single treatments with either phytochemical, although the difference was not statistically significant. The combination of genistein and anthocyanin extract peaked in efficacy at 48 hours of treatment, to exhibit significantly greater (P<. O5) dose- and time-dependent cell cytotoxicity than single treatments. This study reveals potential chemopreventive implications for the complementary effects of genistein and anthocyanin extract.

Breast and prostate cancers are the most commonly diagnosed forms of cancer in women and men in the United States. The federal government has played an active role in dedicating resources toward breast and prostate cancers since the early 1990s, when policy actors successfully lobbied Congress to adopt policies that increased awareness and spending. Using theories of social construction, I argue that the key to their success was the ability of these policy actors to socially construct the illnesses of breast and prostate cancers into politically attractive public issues that appealed to federal policymakers. Through the use of embedded collective case study and content analysis of newspaper coverage and congressional data, this dissertation demonstrates how the social constructions of these illnesses impacted the way that breast and prostate cancers were treated as they moved through the policy process. The way in which social construction influenced the types of policies that were adopted to deal with these illnesses is also examined. Because social construction is a multidimensional and dynamic process, several different elements of this process were examined in this dissertation: the ways that policy actors attracted attention to these illnesses, how gender influenced advocacy efforts, the symbolic aspects of these illnesses, and the way the illnesses were defined on systemic and institutional agendas. Since this dissertation examines two different policy issues, the similarities and differences in breast and prostate cancer policymaking were analyzed. I found that discussing breast and prostate cancers in relation to their social constructions provides support for the importance of symbolism and non-rational policy-making processes.