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Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study.
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2018 (engelsk)Inngår i: Cancer Epidemiology, Biomarkers and Prevention, ISSN 1055-9965, E-ISSN 1538-7755, artikkel-id cebp.0079.2018Artikkel i tidsskrift (Fagfellevurdert) Epub ahead of print
Abstract [en]

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).

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.

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2018. artikkel-id cebp.0079.2018
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URN: urn:nbn:se:uu:diva-368147DOI: 10.1158/1055-9965.EPI-18-0079PubMedID: 30352818OAI: oai:DiVA.org:uu-368147DiVA, id: diva2:1267939
Tilgjengelig fra: 2018-12-04 Laget: 2018-12-04 Sist oppdatert: 2019-01-23bibliografisk kontrollert

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