The genetics underlying the genesis and progression of prostate cancer remain poorly understood. This lack of understanding hampers both our current ability to rationally stratify patients with respect to existing therapies and to identify novel therapeutic targets. One mechanism by which we can accelerate the targeted therapy paradigm is to systematically define somatic mutations in prostate cancer. We have recently demonstrated the utility of high-density single nucleotide polymorphism (SNP) arrays for detecting large-scale genetic alterations of the cancer genome. Specifically, we have shown that SNP arrays are an effective high throughput approach to identify loss-of-heterozygosity (LOH) events, as well as copy number alterations including amplifications and deletions in human prostate cancer; and have developed a novel informatics platform (dChipSNP) to handle and analyze SNP array data. We have now shown that the 3rd generation of SNP arrays with probes for over 100,000 SNPs can robustly detect copy number changes including hemizygous deletions, homozygous deletions, and amplifications. The preliminary data suggest that it is now feasible to use SNP arrays to detect genomic alterations in human prostate cancer samples at unprecedented resolution. We propose to apply these methods to the systematic detection of large-scale genetic alterations in human prostate cancer. To this end the specific aims of this proposal are: 1. To generate genome-wide maps for loss-of-heterozygosity, homozygous deletions and amplifications in localized, androgen-dependent metastatic and androgen-independent metastatic prostate cancer using single-nucleotide polymorphism arrays containing probes for 120,000 SNPs. 2. To identify regions of LOH, gene amplification and homozygous deletion that are statistically enriched in metastatic or androgen-independent prostate cancer samples. 3. To use integrated analysis of matched expression data and genetic maps to stratify candidate genes targeted by the relevant genetic alterations. 4. To begin the functional validation of selected candidate tumor suppressor and oncogenes identified in aims 1 through 3.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA109038-03
Application #
7231448
Study Section
Cancer Genetics Study Section (CG)
Program Officer
Okano, Paul
Project Start
2005-07-01
Project End
2009-04-30
Budget Start
2007-05-01
Budget End
2008-04-30
Support Year
3
Fiscal Year
2007
Total Cost
$430,091
Indirect Cost
Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215
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