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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.

dc.contributor.authorSchmidt, Julie A
dc.contributor.authorFensom, Georgina K
dc.contributor.authorRinaldi, Sabina
dc.contributor.authorScalbert, Augustin
dc.contributor.authorAppleby, Paul N
dc.contributor.authorAchaintre, David
dc.contributor.authorGicquiau, Audrey
dc.contributor.authorGunter, Marc J
dc.contributor.authorFerrari, Pietro
dc.contributor.authorKaaks, Rudolf
dc.contributor.authorKühn, Tilman
dc.contributor.authorBoeing, Heiner
dc.contributor.authorTrichopoulou, Antonia
dc.contributor.authorKarakatsani, Anna
dc.contributor.authorPeppa, Eleni
dc.contributor.authorPalli, Domenico
dc.contributor.authorSieri, Sabina
dc.contributor.authorTumino, Rosario
dc.contributor.authorBueno-de-Mesquita, Bas
dc.contributor.authorAgudo, Antonio
dc.contributor.authorSanchez-Perez, Maria-Jose
dc.contributor.authorChirlaque, María-Dolores
dc.contributor.authorArdanaz, Eva
dc.contributor.authorLarrañaga, Nerea
dc.contributor.authorPerez-Cornago, Aurora
dc.contributor.authorAssi, Nada
dc.contributor.authorRiboli, Elio
dc.contributor.authorTsilidis, Konstantinos K
dc.contributor.authorKey, Timothy J
dc.contributor.authorTravis, Ruth C
dc.date.accessioned2023-01-25T13:32:30Z
dc.date.available2023-01-25T13:32:30Z
dc.date.issued2019-04-29
dc.description.abstractMetabolomics 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.
dc.identifier.doi10.1002/ijc.32314
dc.identifier.essn1097-0215
dc.identifier.pmcPMC6916595
dc.identifier.pmid30951192
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916595/pdf
dc.identifier.unpaywallURLhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ijc.32314
dc.identifier.urihttp://hdl.handle.net/10668/13793
dc.issue.number3
dc.journal.titleInternational journal of cancer
dc.journal.titleabbreviationInt J Cancer
dc.language.isoen
dc.organizationEscuela Andaluza de Salud Pública-EASP
dc.organizationHospital Universitario San Cecilio
dc.organizationInstituto de Investigación Biosanitaria de Granada (ibs.GRANADA)
dc.page.number720-730
dc.pubmedtypeJournal Article
dc.pubmedtypeMulticenter Study
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectepidemiology
dc.subjectmetabolomics
dc.subjectprostate cancer risk
dc.subjecttreelet transform
dc.subject.meshAged
dc.subject.meshBiomarkers, Tumor
dc.subject.meshCase-Control Studies
dc.subject.meshFollow-Up Studies
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMetabolomics
dc.subject.meshMiddle Aged
dc.subject.meshNeoplasm Staging
dc.subject.meshNutrition Assessment
dc.subject.meshPhosphatidylcholines
dc.subject.meshProspective Studies
dc.subject.meshProstate
dc.subject.meshProstatic Neoplasms
dc.subject.meshRisk Factors
dc.subject.meshSphingomyelins
dc.titlePatterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case-control sets from EPIC.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number146
dspace.entity.typePublication

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