Prostate cancer shows significant heterogeneity requiring stratification.
Identification of gene fusions aids in classifying tumors.
Non-ETS fusions like SLC45A3-BRAF have oncogenic potential.
KLK4-KLKP1 fusion is detectable in urine, aiding non-invasive monitoring.
Comprehensive profiling is critical for personalized therapy.
Future research will focus on transcriptomic analyses of treatment-resistant tumors.
Personalized approaches could guide targeted therapies for prostate cancer patients.
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