While family history is an important risk factor for prostate cancer, localization of highly penetrant prostate cancer susceptibility genes using traditional linkage analysis has been challenging. In this SPORE project, we used our ongoing study of hereditary prostate cancer study (the University of Michigan Prostate Cancer Genetics Project or PCGP) to identify a set of sibling pairs discordant for prostate cancer. These siblings can be used to implicate genes of modest penetrance using family-based association methods. Since the sibships are derived from families with early-onset and/or hereditary prostate cancer, they are relatively enriched for genetic susceptibility factors. During the first five years of funding, we have established the discordant sibling pair (DSP) project as a resource for characterizing germline variants associated with prostate cancer. To date, we have studied 14 candidate genes and have shown that single nucleotide DOlymorphisms (SNPs) in CYP17, BRCA1, FHIT, SDF1, CXCR4, and AMACRare significantly associated with prostate cancer. Our most compelling association finding involves a glutamine-to-arginine substitution at codon 356 (Gln356Arg) in exon 11 of the BRCA1 gene that accounts for some (but not all) of our prior vidence of prostate cancer linkage to chromosome 17q21 in a PCGP genome-wide linkage scan. Nonsynonymous SNPs (nsSNPs), such as BRCA1 Gln356Arg, result in single amino acid substitutions and have been shown to account for many of the genetic changes that influence Mendelian disorders. In this SPORE renewal project, we propose a genome-wide approach focusing on nsSNPs in known genes, including many genes previously implicated in cancer. This proposed genome-wide approach has the advantage of testing for variants that are likely to be causative and has been successfully used to identify novel candidate loci for type 1 diabetes and Crohn disease. To test the hypothesis that common nsSNPs in BRCA1 and other candidate genes are associated with prostate cancer, the following two Specific Aims are proposed:
Specific Aim 1 : Develop our new, formal collaboration with the SPORE program at Johns Hopkins University to follow-up and generalize significant prostate cancer associations, including our previously reported prostate cancer association with BRCA1 Gln356Arg.
Specific Aim 2. Complete a replication-based genome-wide association study of early-onset and familial prostate cancer using more than 11,500 nsSNPs that cover approximately 6,500 known human genes, including a disproportionate number in cancer-related pathways.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA069568-13
Application #
8082757
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2010-06-01
Budget End
2011-05-31
Support Year
13
Fiscal Year
2010
Total Cost
$260,629
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
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Xie, Yuanyuan; Cao, Zhen; Wong, Elissa Wp et al. (2018) COP1/DET1/ETS axis regulates ERK transcriptome and sensitivity to MAPK inhibitors. J Clin Invest 128:1442-1457
Singhal, Udit; Wang, Yugang; Henderson, James et al. (2018) Multigene Profiling of CTCs in mCRPC Identifies a Clinically Relevant Prognostic Signature. Mol Cancer Res 16:643-654
Wang, Xiaoju; Qiao, Yuanyuan; Asangani, Irfan A et al. (2017) Development of Peptidomimetic Inhibitors of the ERG Gene Fusion Product in Prostate Cancer. Cancer Cell 31:532-548.e7
Blattner, Mirjam; Liu, Deli; Robinson, Brian D et al. (2017) SPOP Mutation Drives Prostate Tumorigenesis In Vivo through Coordinate Regulation of PI3K/mTOR and AR Signaling. Cancer Cell 31:436-451
Dai, Xiangpeng; Gan, Wenjian; Li, Xiaoning et al. (2017) Prostate cancer-associated SPOP mutations confer resistance to BET inhibitors through stabilization of BRD4. Nat Med 23:1063-1071
Lin, Ke-Chih; Torga, Gonzalo; Wu, Amy et al. (2017) Epithelial and mesenchymal prostate cancer cell population dynamics on a complex drug landscape. Converg Sci Phys Oncol 3:
Piert, Morand; Montgomery, Jeffrey; Kunju, Lakshmi Priya et al. (2016) 18F-Choline PET/MRI: The Additional Value of PET for MRI-Guided Transrectal Prostate Biopsies. J Nucl Med 57:1065-70
Van Allen, Eliezer M; Robinson, Dan; Morrissey, Colm et al. (2016) A comparative assessment of clinical whole exome and transcriptome profiling across sequencing centers: implications for precision cancer medicine. Oncotarget 7:52888-52899
Mehra, Rohit; Udager, Aaron M; Ahearn, Thomas U et al. (2016) Overexpression of the Long Non-coding RNA SChLAP1 Independently Predicts Lethal Prostate Cancer. Eur Urol 70:549-552

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