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96. Jahrestagung der Deutschen Gesellschaft für Pathologie e. V ...

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p42 and p27 have not yet been investigated in PCa. Therefore, we aimed<br />

in this study at investigating the role of ETS-1 in PCa cell lines, and whether<br />

the ETS-1 splice variants p42 and p27 are expressed in PCa cell lines.<br />

Methods. We first examined the expression of all 27 ETS family members<br />

using quantitative RT-PCR in androgen-sensitive and insensitive PCa<br />

cell lines. As ETS-1 was found to be highly expressed in the androgeninsensitive<br />

PCa cell lines PC3 and DU-145, we investigated the effect of<br />

blocking ETS-1 in PC3 cells on genes involved in the metastatic cascade<br />

using comprehensive gene expression microarrays, and correlated these<br />

findings with PCa tissues. The expression of the ETS-1 splice variants p42<br />

and p27 was assessed using an anti-ETS-1 antibody directed against the<br />

DNA-binding domain (DBD), and RT-PCR.<br />

Results. Assessment of ETS-1 blockade yielded many genes which are<br />

known to be implicated in PCa. Correlating these genes with findings<br />

from PCa tissues identified 16 genes that are up or down regulated in<br />

healthy compared to tumorous PCa glands. Bioinformatical analysis revealed<br />

that 13/16 of these genes have potential ETS-1 binding sites within<br />

their promoter regions, and 4 were reported to be regulated by members<br />

of the ETS family. Furthermore, our results show for the first time the<br />

novel identification of the ETS-1 splice variants p42 and p27 in both the<br />

androgen-dependent and the androgen-independent PCa cell lines.<br />

Conclusions. Future studies will address the roles of the ETS-1 splice variants<br />

in PCa cell lines and tissues. These findings provide in vitro and<br />

in vivo evidence for the importance of ETS-1 in development and progression<br />

of PCa<br />

SO-063<br />

Serum and prostate cancer tissue signatures of ERG rearrangement<br />

<strong>der</strong>ived from quantitative analysis of the PTEN conditional<br />

knockout mouse proteome<br />

N .J . Rupp1 , I . Cima2 , R . Schiess3 , P .J . Schüffler4 , T . Fuchs5 , N . Fankhauser2 , M .<br />

Kälin6 , S . Gillessen6 , R . Aebersold3 , W . Krek2 , M .A . Rubin7 , H . Moch1 , P .J . Wild1 1University Hospital Zurich, Institute of Surgical Pathology, Zürich, Switzerland,<br />

2ETH Zurich, Institute of Cell Biology, Zürich, Switzerland, 3ETH Zurich,<br />

Institute of Molecular Systems Biology, Zürich, Switzerland, 4ETH Zurich,<br />

Department of Computer Science, Zürich, Switzerland, 5California Institute<br />

of Technology, Pasadena, CA, United States, 6Cantonal Hospital St . Gallen,<br />

Department of Oncology, St . Gallen, Switzerland, 7Weill Cornell Medical<br />

College, Department of Pathology and Laboratory Medicine, New York, NY,<br />

United States<br />

Aims. Applying a systems biology approach to assess serum and tissue<br />

signatures of ERG rearrangement in patients with prostate cancer with<br />

the goal of determining downstream molecular targets for gene fusion<br />

cancers.<br />

Methods. Prostate tissue from a conditional PTEN knockout mouse<br />

model of prostate cancer was investigated, using selective enrichment of<br />

N-glycopeptides and mass spectrometry-based label-free quantification.<br />

Mouse tissue signatures were validated in sera and tissue of mice (n=12)<br />

and humans (n=105) by selected reaction monitoring (SRM), ELISA, and<br />

immunohistochemistry. ERG rearrangement status was assessed using<br />

fluorescence in situ hybridization (FISH) on two independent tissue microarray<br />

based prostatectomy cohorts (n=41, n=348). A Random forest<br />

model was trained and validated to identify serum and tissue signatures<br />

of ERG rearrangement.<br />

Results. A comprehensive PTEN dependent protein catalogue representing<br />

over 700 glycoproteins was established. TMPRSS2-ERG gene fusions<br />

occurred in 41% (17/41) of analyzable prostate cancers of the training<br />

cohort. ERG dependent serum signatures could be found. Predicted serum<br />

signatures were systematically tested on two prostate cancer tissue<br />

microarrays (training and test cohort) using immunohistochemistry for<br />

15 candidate proteins and members of the PI3K/AKT/mTOR pathway.<br />

Conclusions. This is the first study to demonstrate a proteomic signature<br />

of ERG rearrangement prostate cancer. Given the challenges of directly<br />

targeting ETS transcription factors, this study has potential clinical im-<br />

plications providing important insights into future targetable downstream<br />

pathways.<br />

SO-064<br />

Landscape of chromosome number changes during prostate<br />

cancer progression<br />

J . Stomper1 , M . Braun1 , W . Vogel1 , D . Böhm1 , V . Scheble2 , F . Fend3 , S . Perner1 1 2 University Hospital of Bonn, Institute of Pathology, Bonn, University<br />

Hospital of Tübingen, Division of Oncology, Tübingen, 3University Hospital<br />

of Tübingen, Institute of Pathology, Tübingen<br />

Aims. Genetic instability resulting in both aneuploidy and polyploidy is<br />

discussed to be involved in prostate cancer (PCa) development and progression.<br />

However, a complete survey of numerical chromosomal changes<br />

in PCa is lacking so far. The aim of this study was to comprehensively<br />

characterize the ploidy level in PCa with regard to disease progression<br />

via fluorescence in situ hybridization (FISH). Since aneuploidy and aggressive<br />

disease are often associated with increased tumor cell proliferation,<br />

we also assessed the expression of two common mitosis markers<br />

within the same PCa cohort.<br />

Methods. We studied a cohort comprising 186 localized PCa, 75 PCa with<br />

125 corresponding lymph node metastases, and 42 hormone-refractory<br />

distant metastases. Using dual-color FISH, we assessed the cohort for<br />

losses and gains of all 24 chromosomes. Conducting immunohistochemistry<br />

studies with the markers pHH3 and Ki67, we quantified the proliferation<br />

rate within the same cohort.<br />

Results. We observed a sharp and significant increase in aneuploidy with<br />

advancing tumor stage (p

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