Phytoestrogen consumption from foods and supplements and epithelial ovarian cancer risk: a population-based case control study

BACKGROUND: While there is extensive literature evaluating the impact of phytoestrogen consumption on breast cancer risk, its role on ovarian cancer has received little attention. METHODS: We conducted a population-based case-control study to evaluate phytoestrogen intake from foods and supplements and epithelial ovarian cancer risk. Cases were identified in six counties in New Jersey through the New Jersey State Cancer Registry. Controls were identified by random digit dialing, CMS (Centers for Medicare and Medicaid Service) lists, and area sampling. A total of 205 cases and 390 controls were included in analyses. Unconditional logistic regression analyses were conducted to examine associations with total phytoestrogens, as well as isoflavones (daidzein, genistein, formononetin, and glycitein), lignans (matairesinol, lariciresinol, pinoresinol, secoisolariciresinol), and coumestrol. RESULTS: No statistically significant associations were found with any of the phytoestrogens under evaluation. However, there was a suggestion of an inverse association with total phytoestrogen consumption (from foods and supplements), with an odds ratio (OR) of 0.62 (95% CI: 0.38-1.00; p for trend: 0.04) for the highest vs. lowest tertile of consumption, after adjusting for reproductive covariates, age, race, education, BMI, and total energy. Further adjustment for smoking and physical activity attenuated risk estimates (OR: 0.66; 95% CI: 0.41-1.08). There was little evidence of an inverse association for isoflavones, lignans, or coumestrol. CONCLUSIONS: This study provided some suggestion that phytoestrogen consumption may decrease ovarian cancer risk, although results did not reach statistical significance

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Spirofungins A and B: a reassignment of Kiyota's spiroketals

In this letter, we present our results obtained in attempts to synthesize the initially proposed structure of the spiroketal core of spirofungin B. Based on these results, we propose a reassignment for the structures of the spiroketals obtained by Kiyota's group. (c) 2006 Elsevier Ltd. All rights reserved.47142413241

Appearance based object modeling using texture database: Acquisition, compression and rendering

Image-based object modeling enables us to compose photorealistic images of modeled objects for various rendering conditions (viewpoints/light directions, etc.) However, it is very challenging to acquire a huge number of object images for all combinations of capturing parameters and to then handle the resulting huge data sets for the model. In this paper, we present a novel modeling method for acquiring and preserving appearances of objects. Using a specialized capturing..