FISH analysis of recurrent fusions of TMPRSS-2 and ETS transcription factor genes in prostate cancer

Prostate cancer (PCA) is one of the most common types of cancer in men. It is a highly heterogeneous malignant disease with a long course and an unpredictable time of clinical progression. As with all carcinomas, PCA requires histological grading (the degree of differentiation of the carcinoma compared to normal tissue). The Gleason score provides the best predictive value compared to other grading systems. The aim of this research project is to use innovative molecular biology techniques combined with bioinformatics to identify a constellation of biomarkers that differentiate between the various degrees of PCA differentiation. These molecular expression profiles are intended to develop a meaningful, combined pathologically and molecularly biologically based and ultimately more precise grading of PCA, which is expected not only to provide further insights into the tumor biology of PCA, but above all to open up diagnostic and potential therapeutic possibilities.