Prostate cancer (PCA) is a common and clinically heterogeneous disease with marked variability in progression. This proposal focuses on characterizing a novel translocation in PCA identified by our group, and examining the role of the translocation in disease progression. By applying a new bioinformatics approach, our group identified a common translocation in PCA, involving the tightly androgen regulated gene TMPRSS2 (21q22.3) and ETS transcription factor family members, either ERG (21q22.2) or ETV1 (7p21.2). This translocation is detected in invasive PCA and in 20% of high-grade prostatic intraepithelial neoplasia (PIN). TMPSS2-ERG PCA are associated with higher tumor stage and PCA specific death. TMPRSS2 is one of the most highly androgen regulated genes. Since our original report, we have further discovered that approximately 60% of tumors with TMPRSS2-ETS translocations harbor deletions on chromosome 21 involving the region between TMPRSS2 and ERG. The presence of translocation-associated deletions, as seen in CML, may provide important insight into the clinical and genetic heterogeneity of PCA. Therefore, our overarching hypothesis is that the TMPRSS2-ETS family oncogene fusion proteins drive PCA molecular diversity and clinical progression. We propose testing this hypothesis by pursuing the following specific aims:
In Aim 1, we will characterize the frequency and extent of deletions associated with the TMPRSS2-ETS translocations in PCA.
In Aim 2, we will identify critical genomic alterations associated with the distinct TMPRSS2-ETS family translocations and deletions.
In Aim 3, we will develop in situ tests to evaluate fusion status as a predictor of PCA specific death or development of metastatic disease. At the conclusion of this proposal, we will have characterized the frequency of TMPRSS2-ETS translocations and deletions in a wide range of PCA samples (n>150) and a population-based cohort (n=1275). We will develop optimized FISH assays to sub-classify PCAs and identify secondary molecular alterations associated with the translocation/deletion status. Finally, we will determine if FISH assays (or other in situ tests) can be employed as a prognostic biomarker. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA125612-01A1
Application #
7317429
Study Section
Cancer Biomarkers Study Section (CBSS)
Program Officer
Gillanders, Elizabeth
Project Start
2007-09-30
Project End
2011-07-31
Budget Start
2007-09-30
Budget End
2008-07-31
Support Year
1
Fiscal Year
2007
Total Cost
$389,543
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Pathology
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
Shoag, Jonathan; Liu, Deli; Blattner, Mirjam et al. (2018) SPOP mutation drives prostate neoplasia without stabilizing oncogenic transcription factor ERG. J Clin Invest 128:381-386
Benelli, Matteo; Romagnoli, Dario; Demichelis, Francesca (2018) Tumor purity quantification by clonal DNA methylation signatures. Bioinformatics 34:1642-1649
Lee, D; Fontugne, J; Gumpeni, N et al. (2017) Molecular alterations in prostate cancer and association with MRI features. Prostate Cancer Prostatic Dis 20:430-435
Mayrhofer, Marie; Gourain, Victor; Reischl, Markus et al. (2017) A novel brain tumour model in zebrafish reveals the role of YAP activation in MAPK- and PI3K-induced malignant growth. Dis Model Mech 10:15-28
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
Barbieri, Christopher E; Chinnaiyan, Arul M; Lerner, Seth P et al. (2017) The Emergence of Precision Urologic Oncology: A Collaborative Review on Biomarker-driven Therapeutics. Eur Urol 71:237-246
Boysen, Gunther; Barbieri, Christopher E; Prandi, Davide et al. (2015) SPOP mutation leads to genomic instability in prostate cancer. Elife 4:
Lecca, Paola; Casiraghi, Nicola; Demichelis, Francesca (2015) Defining order and timing of mutations during cancer progression: the TO-DAG probabilistic graphical model. Front Genet 6:309
Barbieri, Christopher E; Rubin, Mark A (2015) Genomic rearrangements in prostate cancer. Curr Opin Urol 25:71-6
Blattner, Mirjam; Lee, Daniel J; O'Reilly, Catherine et al. (2014) SPOP mutations in prostate cancer across demographically diverse patient cohorts. Neoplasia 16:14-20

Showing the most recent 10 out of 34 publications