24 Background: African American (AA) men have a higher incidence of and mortality from prostate cancer (PCa) than European American (EA) men. The potential biological determinants of these racial disparities are unknown. Cancer genome evaluations with available clinical outcome data have been limited to EA cohorts. Here we characterize PCa genomes from a large cohort of AA men and identify the associations between genomic alterations and clinical outcomes. Methods: Cancer genomes from 205 AA men treated with radical prostatectomy (RP) were profiled for known somatic mutations and percent genome alteration (PGA; defined as percentage of tumor genome with copy number variation). Logistic regression and Cox proportional hazard analyses assessed the association of genomic alterations with clinical outcomes in multivariate models. PGA was dichotomized by quartiles in analytical models (≤75th percentile vs. >75th percentile). Results: The median PGA was 3.7% and increased with pathologic grade (p<0.001) and stage (p=0.02). Median follow-up was 5 years. AA men with the highest quartile of PGA had significantly worse biochemical recurrence (BCR)-free survival (10 year: 33.5% vs. 50.2%; p=0.006) and metastasis-free survival (10 year: 47.9% vs. 89.0%; p<0.001) than men with lower quartiles of PGA. PGAwas associated with increased risks of higher grade (OR 2.0, 95% CI 1.1-3.7, p=0.03), higher stage (OR 2.0, 95% CI 1.1-3.8, p=0.03), BCR (univariate: HR 1.9, 95% CI 1.2-3.2, p=0.01), and metastasis (HR 9.6, 95% CI 2.9-31.3, p<0.001). The most common somatic mutations were SPOP (12.5%, 123/184), FOXA1 (9.2%, 17/184), and TP53 (4.4%, 8/184). Only TP53 was associated with increased risks of adverse outcomes: higher stage (OR 5.3, 95% CI 1.5-19.4, p=0.01), BCR (univariate: HR 2.4, 95% CI 1.0-5.9, p=0.06), and metastasis (HR 9.5, 95% CI 2.2-40.6, p=0.002). Conclusions: In AA men, PCa genome profiles reveal unique genomic alterations. Notably, PGA in AA men predicts adverse pathologic and oncologic outcomes after RP and can potentially be considered a prognostic biomarker in this racial group. This research highlights the importance of racial ancestry in cancer genomics studies and precision medicine strategies.