e17561 Background: Prostate cancer (PCa) is common in countries with affluent dietary patterns and represents a heterogeneous collection of subtypes with varying behavior. Reductionist strategies focusing on individual nutrients or foods have not clearly defined risk factors. We have developed mechanisms-based dietary patterns focusing upon inflammation and chronic insulin hypersecretion, processes that are hypothesized to impact prostate carcinogenesis. Methods: First, we examined associations of the empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) scores with circulating concentrations of relevant biomarkers, to assess the validity of these two dietary patterns. Secondly, we investigated associations of the EDIH and EDIP with risk of PCa (total, low-grade, high-grade, advanced and lethal). EDIH and EDIP dietary scores calculated from food frequency questionnaire data for 3,517 men and women who provided a blood sample at enrollment, were used to validate dietary patterns against known relevant biomarkers. A separate sample of 49,317 men was used to evaluate the associations of EDIH and EDIP with prostate cancer risk. We used multivariable-adjusted linear regression to compute the percent change and 95% confidence intervals (95%CI) in biomarker concentrations, and Cox regression to estimate hazard ratios (HR) and 95%CI for PCa risk; in dietary score quintiles, using the lowest quintile as reference. Results: Compared to the lowest quintile, participants in the highest EDIH quintile (most hyperinsulinemic diets) had significantly higher concentrations of C-peptide, insulin, CRP, and TNF-R2 and lower adiponectin. Those consuming the most pro-inflammatory diets (EDIP) had significantly higher concentrations of IL-6, TNF-R2, C-peptide and insulin with lower adiponectin. Men classified in EDIH quintile 5 compared to 1, were also at higher total PCa risk: HR, 1.11; 95%CI, 1.01, 1.23; P-trend = 0.03, especially high-grade cancer: HR, 1.18; 95%CI, 1.02, 1.37; P-trend = 0.06; whereas the EDIP was not associated with risk. Conclusions: EDIH and EDIP predicted concentrations of biomarkers relevant to the insulinemic and inflammatory potential of diet in PLCO. EDIH predicted future PCa risk and may suggest a dietary pattern for PCa prevention.