Abstract

You have accessJournal of UrologyProstate Cancer: Epidemiology & Natural History II (MP64)1 Apr 2020MP64-08 THE EFFECT OF COFFEE INTAKE AND RS762551 GENOTYPE ON SURVIVAL FOLLOWING PROSTATE CANCER DIAGNOSIS Justin Gregg*, Peng Wei, Ganiraju Manyam, Jeri Kim, Carrie Daniel, and Practical Consortium Justin Gregg*Justin Gregg* More articles by this author , Peng WeiPeng Wei More articles by this author , Ganiraju ManyamGaniraju Manyam More articles by this author , Jeri KimJeri Kim More articles by this author , Carrie DanielCarrie Daniel More articles by this author , and Practical Consortium More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000939.08AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Higher coffee intake has been associated with lower risk of both localized and aggressive prostate cancer (PCa), and our group has shown that coffee intake may be associated with decreased disease progression in men on active surveillance. Furthermore, this effect may be modified by caffeine metabolism-related single nucleotide polymorphism (SNP), rs762551. As part of an international consortium we investigated coffee intake in relation to overall (OS) and PCa-specific (PCSS) survival; and examined whether associations varied by genotype. METHODS: We utilized data from the PRACTICAL consortium, which included 4,161 men with PCa from five U.S., Australian and European studies with: 1) genotype data for the SNP of interest, 2) data on usual coffee intake, 3) at least 6 months of follow-up, and 4) over 120 subjects. PCa cases were followed as per individual protocols and were censored at date of last follow-up or death. Study-specific, multivariable-adjusted Cox proportional hazards models were used to evaluate coffee intake (categorized as 0, 0.1-2.5 and >2.5 cups/day) in relation to OS and PCSS after accounting for patient and pathologic factors. Fixed-effects meta-analysis was used to assess associations in all patients and by genotype. RESULTS: The average age was 63.7 years (SD 8.0) and 2,681 (64%) men had confirmed localized disease. Median coffee consumption was 2.0 cups/day (range 0-14 cups/day) and 71% of men reported drinking coffee daily. Over a median follow-up of 5.6 years (SD 4.11), 618 (15%) men died, of whom 343 died of PCa. After accounting for clinical factors in each study, the highest tertile of coffee intake (>2.5 cups/day) was associated with longer OS compared with the lowest tertile (0 cups/day; Pooled estimated HR [peHR] 0.70, 95%CI 0.54-0.90, P<0.01). Further, higher coffee intake was associated with longer PCSS (peHR 0.47, 95%CI 0.35-0.63, P<0.01). The most pronounced association between coffee intake and OS was observed for men with the AA or fast caffeine metabolism genotype (peHR 0.49, 95%CI 0.36-0.65, P<0.01); a more modest association was observed for men with the AC or CC genotypes (peHR 0.74, 95%CI 0.50-1.10, P=0.14). Similarly, the AA genotype was associated with longer PCSS (peHR 0.12, 95%CI 0.11-0.14, P<0.01), but not in those with the AC or CC genotypes (peHR 1.54, 95%CI 0.56-4.28, P=0.41). As for coffee intake and SNP interaction analysis, there was no significant interaction for OS, though it was significant with respect to 0.1-2.5 cups/day (P=0.03) and >2.5 cups/day (P<0.01) for PCSS. CONCLUSIONS: In a large, pooled cohort of men with PCa, coffee intake of >2.5 cups per day was associated with longer OS and PCSS. This association appears most pronounced in men with a genotype indicative of fast caffeine metabolism. Further work is warranted to investigate and validate potential coffee- and caffeine-related mechanisms that may underlie PCa related deaths. Source of Funding: None © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e966-e966 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Justin Gregg* More articles by this author Peng Wei More articles by this author Ganiraju Manyam More articles by this author Jeri Kim More articles by this author Carrie Daniel More articles by this author Practical Consortium More articles by this author Expand All Advertisement PDF downloadLoading ...

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