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Molecular Markers of Estrogen Metabolism and Progression From High-Grade Prostatic Intraepithelial Neoplasia (HGPIN) to Prostate Cancer

Authors: Scott Shappell; Quiyin Cai; Fritz Parl; Jay H. Fowke;

Molecular Markers of Estrogen Metabolism and Progression From High-Grade Prostatic Intraepithelial Neoplasia (HGPIN) to Prostate Cancer

Abstract

Abstract : The purpose of this case-control study is to investigate the association between genetic and endocrine markers of estrogen metabolism and prostate cancer progression. Androgens (e.g., testosterone) may be critical in prostate cancercinogenesis, but there is accumulating evidence that estrogens facilitate progress during the later stages of prostate cancer formation (1-4). To explore the role of estrogens in human prostate carcinogenesis, we proposed to investigate the association between genetic and endocrine markers of estrogen metabolism and the detection of high-grade prostatic intraepithelia neoplasia (HGPIN) and stage II/III prostate cancer. This study has completed its first full year of funded activity. Specific accomplishments include the development and pilot testing of all data and biospecimen collection procedures. We had a computer-guided interview created specifically for this project. We have hired a Project Coordinator, and have obtained IRB approvals for all protocols. Participant recruitment started in January, and we have Successfully recruited the first 10 eligible participants (100%). Anticipate successful project completion, and further details provided below are in parallel with the statement of work.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Cancer Research
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