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Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study.

Authors :
Adams CD
Richmond R
Ferreira DLS
Spiller W
Tan V
Zheng J
Würtz P
Donovan J
Hamdy F
Neal D
Lane JA
Smith GD
Relton C
Eeles RA
Haiman CA
Kote-Jarai Z
Schumacher FR
Olama AAA
Benlloch S
Muir K
Berndt SI
Conti DV
Wiklund F
Chanock SJ
Gapstur S
Stevens VL
Tangen CM
Batra J
Clements JA
Gronberg H
Pashayan N
Schleutker J
Albanes D
Wolk A
West CML
Mucci LA
Cancel-Tassin G
Koutros S
Sorensen KD
Maehle L
Travis RC
Hamilton RJ
Ingles SA
Rosenstein BS
Lu YJ
Giles GG
Kibel AS
Vega A
Kogevinas M
Penney KL
Park JY
Stanford JL
Cybulski C
Nordestgaard BG
Brenner H
Maier C
Kim J
John EM
Teixeira MR
Neuhausen SL
De Ruyck K
Razack A
Newcomb LF
Lessel D
Kaneva RP
Usmani N
Claessens F
Townsend PA
Dominguez MG
Roobol MJ
Menegaux F
Khaw KT
Cannon-Albright LA
Pandha H
Thibodeau SN
Martin RM
Source :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology [Cancer Epidemiol Biomarkers Prev] 2019 Jan; Vol. 28 (1), pp. 208-216. Date of Electronic Publication: 2018 Oct 23.
Publication Year :
2019

Abstract

Background: 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).<br />Methods: The case-control portion of the study was conducted in nine UK centers with men ages 50-69 years who underwent prostate-specific antigen 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.<br />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.<br />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.<br />Impact: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.<br /> (©2018 American Association for Cancer Research.)

Details

Language :
English
ISSN :
1538-7755
Volume :
28
Issue :
1
Database :
MEDLINE
Journal :
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Publication Type :
Academic Journal
Accession number :
30352818
Full Text :
https://doi.org/10.1158/1055-9965.EPI-18-0079