43Metastatic castration-resistant prostate cancer (mCRPC) has a highly complex genomic landscape. 44With the recent development of novel treatments, accurate stratification strategies are needed. Here 45 we present the whole-genome sequencing (WGS) analysis of fresh-frozen metastatic biopsies from 46 197 mCRPC patients. Using unsupervised clustering based on genomic features, we define eight 47 distinct genomic clusters. We observe potentially clinically relevant genotypes, including microsatellite 48 instability (MSI), homologous recombination deficiency (HRD) enriched with genomic deletions and 49 BRCA2 aberrations, a tandem duplication genotype associated with CDK12 -/and a chromothripsis-50 enriched subgroup. Our data suggests that stratification on WGS characteristics may improve 51 identification of MSI, CDK12 -/and HRD patients. From WGS and ChIP-seq data, we show the 52 potential relevance of recurrent alterations in non-coding regions identified with WGS and highlight 53 the central role of AR signaling in tumor progression. These data underline the potential value of 54 using WGS to accurately stratify mCRPC patients into clinically actionable subgroups. 55 157This analysis did not reveal systematic biases due to pre-treatment in aberrations, such as TMB, 158 kataegis, chromothripsis, ETS fusions, or somatically altered genes ( Supplementary table 3). 159 Methods 657 Patient cohort and study procedures 658 b * * c i j k l m Cluster A Cluster B Cluster C Cluster D Cluster E Cluster F Cluster G Cluster H