Kyeezu Kim1, Angela Kong2, Robert C Flanigan3, Marcus L Quek3, Courtney M P Hollowell4, Patricia P Vidal4, Jefferey Branch5, Leslie A Dean6, Virgilia Macias7, Andre A Kajadacsy-Balla7, Marian L Fitzgibbon8, Daisy Cintron8, Li Liu1, Vincent L Freeman9,10. 1. Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Public Health, Chicago, IL, USA. 2. Department of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA. 3. Department of Urology, Stritch School of Medicine, Loyola University Medical Center, Maywood, IL, USA. 4. Division of Urology, Stroger, Cook County Health and Hospitals System, Chicago, IL, USA. 5. Urology Service, Edward Hines, Jr. VA Hospital, Hines, IL, USA. 6. Department of Urology, University of Miami Miller School of Medicine, Miami, FL, USA. 7. Department of Pathology, University of Illinois Hospital and Health Sciences System, Chicago, IL, USA. 8. Institute for Health Research and Policy, University of Illinois at Chicago School of Public Health, Chicago, IL, USA. 9. Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago School of Public Health, Chicago, IL, USA. freem981@uic.edu. 10. Institute for Health Research and Policy, University of Illinois at Chicago School of Public Health, 1603 W Taylor St, Rm 981, Chicago, IL, 60612, USA. freem981@uic.edu.
Abstract
PURPOSE: An association between dietary carbohydrate intake and prostate cancer (PCa) prognosis is biologically plausible, but data are scarce. This prospective cohort study examined the relation between pre-diagnostic carbohydrate intake and treatment failure following radical prostatectomy for clinically early-stage PCa. METHODS: We identified 205 men awaiting radical prostatectomy and assessed their usual dietary intake of carbohydrates using the 110-item Block food frequency questionnaire. We also evaluated carbohydrate intake quality using a score based on the consumption of sugars relative to fiber, fat, and protein. Logistic regression analyzed their associations with the odds of treatment failure, defined as a detectable and rising serum prostate-specific antigen (PSA) or receiving androgen deprivation therapy (ADT) within 2 years. RESULTS: Sucrose consumption was associated with a higher odds and fiber consumption with a lower odds of ADT after accounting for age, race/ethnicity, body mass index, and tumor characteristics (odds ratio [OR] (95% confidence interval [CI]) 5.68 (1.71, 18.9) for 3rd vs. 1st sucrose tertile and 0.88 (0.81, 0.96) per gram of fiber/day, respectively). Increasing carbohydrate intake quality also associated with a lower odds of ADT (OR (95% CI) 0.78 (0.66, 0.92) per unit increase in score, range 0-12). CONCLUSIONS: Pre-diagnostic dietary carbohydrate intake composition and quality influence the risk of primary treatment failure for early-stage PCa. Future studies incorporating molecular aspects of carbohydrate metabolism could clarify possible underlying mechanisms.
PURPOSE: An association between dietary carbohydrate intake and prostate cancer (PCa) prognosis is biologically plausible, but data are scarce. This prospective cohort study examined the relation between pre-diagnostic carbohydrate intake and treatment failure following radical prostatectomy for clinically early-stage PCa. METHODS: We identified 205 men awaiting radical prostatectomy and assessed their usual dietary intake of carbohydrates using the 110-item Block food frequency questionnaire. We also evaluated carbohydrate intake quality using a score based on the consumption of sugars relative to fiber, fat, and protein. Logistic regression analyzed their associations with the odds of treatment failure, defined as a detectable and rising serum prostate-specific antigen (PSA) or receiving androgen deprivation therapy (ADT) within 2 years. RESULTS:Sucrose consumption was associated with a higher odds and fiber consumption with a lower odds of ADT after accounting for age, race/ethnicity, body mass index, and tumor characteristics (odds ratio [OR] (95% confidence interval [CI]) 5.68 (1.71, 18.9) for 3rd vs. 1st sucrose tertile and 0.88 (0.81, 0.96) per gram of fiber/day, respectively). Increasing carbohydrate intake quality also associated with a lower odds of ADT (OR (95% CI) 0.78 (0.66, 0.92) per unit increase in score, range 0-12). CONCLUSIONS: Pre-diagnostic dietary carbohydrate intake composition and quality influence the risk of primary treatment failure for early-stage PCa. Future studies incorporating molecular aspects of carbohydrate metabolism could clarify possible underlying mechanisms.
Entities:
Keywords:
Dietary carbohydrate; Insulin sensitivity; Prostate cancer prognosis; Treatment failure
Authors: V Mohamed-Ali; J H Pinkney; A Panahloo; S Cwyfan-Hughes; J M Holly; J S Yudkin Journal: Clin Endocrinol (Oxf) Date: 1999-02 Impact factor: 3.478
Authors: Vasundara Venkateswaran; Ahmed Q Haddad; Neil E Fleshner; Rong Fan; Linda M Sugar; Rob Nam; Laurence H Klotz; Michael Pollak Journal: J Natl Cancer Inst Date: 2007-11-27 Impact factor: 13.506