Metabolic syndrome is associated with aggressive prostate cancer regardless of race.

PURPOSE: Recent meta-analyses suggest the Metabolic Syndrome (MS) increases high-grade prostate cancer (PC), although studies are inconsistent and few black men were included. We investigated MS and PC diagnosis in black and white men undergoing prostate biopsy in an equal access healthcare system. We hypothesized MS would be linked with aggressive PC, regardless of race. METHODS: Among men undergoing prostate biopsy at the Durham Veterans Affairs Hospital, medical record data abstraction of diagnosis or treatment for hypertension (≥ 130/85 mmHg), dyslipidemia (HDL < 40 mg/dL), hypertriglyceridemia (≥ 150 mg/dL), diabetes, hyperglycemia (fasting glucose ≥ 100 ml/dL), and central obesity (waist circumference ≥ 40 inches) were done. Biopsy grade group (GG) was categorized as low (GG1) or high (GG2-5). Multinomial logistic regression was used to examine MS (3-5 components) vs. no MS (0-2 components) and diagnosis of high grade and low grade vs. no PC, adjusting for potential confounders. Interactions between race and MS were also tested. RESULTS: Of 1,051 men (57% black), 532 (51%) had MS. Men with MS were older, more likely to be non-black, and had a larger prostate volume (all p ≤ 0.011). On multivariable analysis, MS was associated with high-grade PC (OR = 1.73, 95% CI 1.21-2.48, p = 0.003), but not overall PC (OR = 1.17, 95% CI 0.88-1.57, p = 0.29) or low grade (OR = 0.87, 95% CI 0.62-1.21, p = 0.39). Results were similar in black and non-black men (all p-interactions > 0.25). CONCLUSION: Our data suggest that metabolic dysregulation advances an aggressive PC diagnosis in both black and non-black men. If confirmed, prevention of MS could reduce the risk of developing aggressive PC, including black men at higher risk of PC mortality.

Is Body Mass Index the Best Adiposity Measure for Prostate Cancer Risk? Results From a Veterans Affairs Biopsy Cohort.

OBJECTIVE: To test multiple adiposity measures and prostate cancer (PC) risk in men undergoing prostate biopsy. We hypothesized that body mass index (BMI), body fat, and waist circumference would be highly correlated, and all would be associated with aggressive PC, but not overall risk. SUBJECTS AND METHODS: A case (483)-control (496) study among men undergoing prostate biopsy from 2007 to 2016 was conducted at the Durham Veterans Affairs Medical Center. Anthropometric and self-reported measurements were taken. Percent body fat was measured. Associations between adiposity measures and PC risk and high-grade PC (Gleason ≥7) were examined using logistic regression. RESULTS: BMI, percent body fat, and waist circumference were highly correlated (ρ ≥ .79) (P < .001). On multivariable analysis, BMI (P = .011) was associated with overall PC risk, but percent body fat (P = .16) and waist circumference (P = .19) were not. However, all adiposity measurements were associated with high-grade disease (P < .001). We found a strong relationship between self-reported and measured weight (ρ = .97) and height (ρ = .92). CONCLUSION: BMI, body fat, and waist circumference were all highly correlated and associated with aggressive PC. This study supports the idea that higher adiposity is selectively associated with high-grade PC and reinforces the continued use of self-reported BMI as a measure of obesity in epidemiologic studies of PC.