Publication:
Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case-control sets from EPIC.

Loading...
Thumbnail Image

Date

2019-04-29

Authors

Schmidt, Julie A
Fensom, Georgina K
Rinaldi, Sabina
Scalbert, Augustin
Appleby, Paul N
Achaintre, David
Gicquiau, Audrey
Gunter, Marc J
Ferrari, Pietro
Kaaks, Rudolf

Advisors

Journal Title

Journal ISSN

Volume Title

Publisher

Metrics
Google Scholar
Export

Research Projects

Organizational Units

Journal Issue

Abstract

Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD ) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD  = 0.77, 95% confidence interval 0.66-0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR1SD  = 0.72, 0.57-0.90), or lysophosphatidylcholines (OR1SD  = 0.81, 0.69-0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR1SD  = 0.77, 0.61-0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer.

Description

MeSH Terms

Aged
Biomarkers, Tumor
Case-Control Studies
Follow-Up Studies
Humans
Male
Metabolomics
Middle Aged
Neoplasm Staging
Nutrition Assessment
Phosphatidylcholines
Prospective Studies
Prostate
Prostatic Neoplasms
Risk Factors
Sphingomyelins

DeCS Terms

CIE Terms

Keywords

epidemiology, metabolomics, prostate cancer risk, treelet transform

Citation