Michael A Liss1,2, Osamah Al-Bayati3, Jonathan Gelfond4, Martin Goros4, Sarah Ullevig5, John DiGiovanni6, Jill Hamilton-Reeves7, Denise O'Keefe3, Dean Bacich3, Brandi Weaver3, Robin Leach3,8, Ian M Thompson9. 1. Department of Urology, University of Texas Health San Antonio, San Antonio, TX, USA. liss@uthscsa.edu. 2. Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas, Austin, TX, USA. liss@uthscsa.edu. 3. Department of Urology, University of Texas Health San Antonio, San Antonio, TX, USA. 4. Department of Epidemiology and Biostatistics, University of Texas Health San Antonio, San Antonio, TX, USA. 5. Department of Kinesiology, Health, and Nutrition, University of Texas Health San Antonio, San Antonio, TX, USA. 6. Division of Pharmacology and Toxicology, College of Pharmacy, The University of Texas, Austin, TX, USA. 7. Department of Urology, University of Kansas, Kansas City, KS, USA. 8. Cell and Structural biology, University of Texas Health San Antonio, San Antonio, TX, USA. 9. CHRISTUS Health, CHRISTUS Santa Rosa Medical Center, San Antonio, TX, USA.
Abstract
BACKGROUND: To study the association of nutrient intake measured by baseline food frequency questionnaire and risk of subsequent prostate cancer (PCa) in the SABOR (San Antonio Biomarkers of Risk) cohort study. METHODS: After IRB approval, more than 1903 men enrolled in a prospective cohort from 2000 to 2010 as part of the SABOR clinical validation site for the National Cancer Institute Early Detection Research Network. Food and nutrient intakes were calculated using a Food Frequency Questionnaire. Cox proportional hazards modeling and covariate-balanced propensity scores were used to assess the associations between all nutrients and PCa. RESULTS: A total of 229 men were diagnosed with PCa by prostate biopsy. Among all nutrients, increased risk of PCa was associated with intake of dietary fat scaled by the total caloric intake, particularly saturated fatty acid (SFA) [HR 1.19; 95% CI, 1.07-1.32), P value < 0.001, False discovery rate (FDR) 0.047] and trans fatty acid (TFA) [HR per quintile 1.21; (95% CI) (1.08-1.35), P < 0.001, FDR 0.039]. There was an increased risk of PCa with increasing intake of monounsaturated fatty acid (MUFA) (HR per quintile 1.14; 95% CI 1.03-1.27, P = 0.01, FDR 0.15) and cholesterol [HR per quintile 1.13; 95% confidence interval (95% CI) (1.02-1.26), P-value 0.02, FDR 0.19]. CONCLUSION: After examining a large, population-based cohort for PCa diagnosis, we identified dietary total fat and certain fatty acids as associated with increased risk of PCa. We found no factors that were protective from PCa. Dietary modification of fatty acid intake may reduce risk of PCa.
BACKGROUND: To study the association of nutrient intake measured by baseline food frequency questionnaire and risk of subsequent prostate cancer (PCa) in the SABOR (San Antonio Biomarkers of Risk) cohort study. METHODS: After IRB approval, more than 1903 men enrolled in a prospective cohort from 2000 to 2010 as part of the SABOR clinical validation site for the National Cancer Institute Early Detection Research Network. Food and nutrient intakes were calculated using a Food Frequency Questionnaire. Cox proportional hazards modeling and covariate-balanced propensity scores were used to assess the associations between all nutrients and PCa. RESULTS: A total of 229 men were diagnosed with PCa by prostate biopsy. Among all nutrients, increased risk of PCa was associated with intake of dietary fat scaled by the total caloric intake, particularly saturated fatty acid (SFA) [HR 1.19; 95% CI, 1.07-1.32), P value < 0.001, False discovery rate (FDR) 0.047] and trans fatty acid (TFA) [HR per quintile 1.21; (95% CI) (1.08-1.35), P < 0.001, FDR 0.039]. There was an increased risk of PCa with increasing intake of monounsaturated fatty acid (MUFA) (HR per quintile 1.14; 95% CI 1.03-1.27, P = 0.01, FDR 0.15) and cholesterol [HR per quintile 1.13; 95% confidence interval (95% CI) (1.02-1.26), P-value 0.02, FDR 0.19]. CONCLUSION: After examining a large, population-based cohort for PCa diagnosis, we identified dietary total fat and certain fatty acids as associated with increased risk of PCa. We found no factors that were protective from PCa. Dietary modification of fatty acid intake may reduce risk of PCa.
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