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METABOLOMIC PROFILING AND BIOLOGIC BASIS OF RACIAL DISPARITY IN PROSTATE CANCER

METABOLOMIC PROFILING AND BIOLOGIC BASIS OF RACIAL DISPARITY IN PROSTATE CANCER
前列腺癌种族差异的代谢组学分析和生物学基础
批准号:
8665538
负责人:
Ganesh S Palapattu
金额:
$10.35万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-08-01 至 2017-07-31

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DESCRIPTION (provided by applicant): The long-term objective of our research plan is to reduce the disproportionate effects of prostate cancer on African American men. A guiding principle of our methodology is biochemical differences exist between prostate cancers of African American and European American origin and that these differences can explain, in part, prostate cancer health disparity. In this application, we propose to use the technique of metabolomic profiling to uncover these underlying differences. Metabolomics describes the science of quantifying the levels of metabolites (e.g., small molecules) that are the byproducts of cellular metabolism. That is to say, in this kind of analysis we are measuring the biochemical entities (or metabolites) that are produced by the functional machinery of the cell. With knowledge of the identity of specific metabolites we can infer the biological processes that produced them, thus gaining insight into a cell's metabolism. To date, a metabolomic analysis of prostate cancer health disparity has not been reported. In preliminary studies, we have profiled the metabolome of prostate cancers from African-American and European American men and have identified specific racially distinct metabololites as well as biological pathways associated with each. In this proposal, we will i) validate and refine the metabolomic profile of prostate cancers from African American and European American men, ii) evaluate the role of specific biochemical pathways in prostate cancers of African American and European American men and iii) develop urine based metabolic markers for high risk prostate cancer in African American and European American men. At the conclusion of this study, we will have developed a racially derived metabolomic model for prostate cancer as well as identified candidate pathways for future drug targeting.
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