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dc.contributor.authorAdams, C
dc.contributor.authorRichmond, RC
dc.contributor.authorSantos Ferreira, DL
dc.contributor.authorSpiller, W
dc.contributor.authorTan, VY
dc.contributor.authorZheng, J
dc.contributor.authorWurtz, P
dc.contributor.authorDonovan, JL
dc.contributor.authorHamdy, FC
dc.contributor.authorNeal, DE
dc.contributor.authorLane, JA
dc.contributor.authorDavey, SG
dc.contributor.authorRelton, CL
dc.contributor.authorEeles, RA
dc.contributor.authorHenderson, BE
dc.contributor.authorHaiman, CA
dc.contributor.authorKote-Jarai, Z
dc.contributor.authorSchumacher, FR
dc.contributor.authorAmin, Al, OA
dc.contributor.authorBenlloch, S
dc.contributor.authorMuir, K
dc.contributor.authorBerndt, SI
dc.contributor.authorConti, DV
dc.contributor.authorWiklund, F
dc.contributor.authorChanock, SJ
dc.contributor.authorGapstur, SM
dc.contributor.authorStevens, VL
dc.contributor.authorTangen, CM
dc.contributor.authorBatra, J
dc.contributor.authorClements, JA
dc.contributor.authorGronberg, H
dc.contributor.authorPashayan, N
dc.contributor.authorSchleutker, J
dc.contributor.authorAlbanes, D
dc.contributor.authorWolk, A
dc.contributor.authorWest, Catharine M L
dc.contributor.authorMucci, LA
dc.contributor.authorCancel-Tassin, G
dc.contributor.authorKoutros, S
dc.contributor.authorSorensen, KD
dc.contributor.authorMaehle, L
dc.contributor.authorTravis, RC
dc.contributor.authorHamilton, R
dc.contributor.authorIngles, SA
dc.contributor.authorRosenstein, BS
dc.contributor.authorLu, YJ
dc.contributor.authorGiles, GG
dc.contributor.authorKibel, AS
dc.contributor.authorVega, A
dc.contributor.authorKogevinas, M
dc.contributor.authorPenney, KL
dc.contributor.authorPark, JY
dc.contributor.authorStanford, JL
dc.contributor.authorCybulski, C
dc.contributor.authorNordestgaard, BG
dc.contributor.authorBrenner, H
dc.contributor.authorMaier, C
dc.contributor.authorKim, J
dc.contributor.authorJohn, EM
dc.contributor.authorTeixeira, MR
dc.contributor.authorNeuhausen, SL
dc.contributor.authorDeRuyck, K
dc.contributor.authorRazack, A
dc.contributor.authorNewcomb, LF
dc.contributor.authorLessel, D
dc.contributor.authorKaneva, RP
dc.contributor.authorUsmani, N
dc.contributor.authorClaessens, F
dc.contributor.authorTownsend, P
dc.contributor.authorGago, DM
dc.contributor.authorRoobol, MJ
dc.contributor.authorMenegaux, F
dc.contributor.authorKhaw, KT
dc.contributor.authorCannon-Albright, LA
dc.contributor.authorPandha, H
dc.contributor.authorThibodeau, SN
dc.contributor.authorMartin, RM
dc.date.accessioned2018-12-05T10:35:48Z
dc.date.available2018-12-05T10:35:48Z
dc.date.issued2018en
dc.identifier.citationAdams C, Richmond RC, Santos Ferreira DL, Spiller W, Tan VY, Zheng J, et al. Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study. Cancer Epidemiology Biomarkers & Prevention. 2018 Oct 23;cebp.0079.2018.en
dc.identifier.pmid30352818en
dc.identifier.doi10.1158/1055-9965.EPI-18-0079en
dc.identifier.urihttp://hdl.handle.net/10541/621351
dc.description.abstractBACKGROUND: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer-metabolite associations using two-sample Mendelian randomization (MR). MATERIALS AND METHODS: The case-control portion of the study was conducted in nine UK centres with men aged 50-69 years who underwent prostate-specific antigen (PSA) screening for prostate cancer within the Prostate testing for cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. RESULTS: Thirty-five metabolites were strongly associated with prostate cancer (p <0.0014, multiple-testing threshold). These fell into four classes: i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); ii) fatty acids and ratios; iii) amino acids; iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal. CONCLUSIONS: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk. IMPACT: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.en
dc.language.isoenen
dc.relation.urlhttps://dx.doi.org/10.1158/1055-9965.EPI-18-0079en
dc.titleCirculating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Studyen
dc.typeArticleen
dc.contributor.departmentCity of Hope MRC Integrative Epidemiology Unit, University of Bristolen
dc.identifier.journalCancer Epidemiol Biomarkers Preven
dc.description.noteen]
refterms.dateFOA2020-04-20T14:55:50Z


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