2023
Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects
Zhong H, Zhu J, Liu S, Ghoneim D, Surendran P, Liu T, Fahle S, Butterworth A, Alam A, Deng H, Yu H, Wu C, Wu L. Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects. Human Molecular Genetics 2023, 32: 3181-3193. PMID: 37622920, PMCID: PMC10630250, DOI: 10.1093/hmg/ddad139.Peer-Reviewed Original ResearchConceptsPCa riskProstate cancerHuge public health burdenEtiology of PCaBlood protein biomarkersConventional epidemiologic studiesProstate cancer riskPublic health burdenConventional observational studiesCancer Genome AtlasPCa patientsHealth burdenProtein biomarker candidatesObservational studyEpidemiologic studiesCancer riskTherapeutic strategiesCancer-related pathwaysSignificant associationBiomarker candidatesGenome AtlasProtein levelsDrug repurposingRiskPositive association
2008
Adipokine genes and prostate cancer risk
Moore SC, Leitzmann MF, Albanes D, Weinstein SJ, Snyder K, Virtamo J, Ahn J, Mayne ST, Yu H, Peters U, Gunter MJ. Adipokine genes and prostate cancer risk. International Journal Of Cancer 2008, 124: 869-876. PMID: 19035456, PMCID: PMC2879625, DOI: 10.1002/ijc.24043.Peer-Reviewed Original ResearchConceptsProstate cancer riskProstate cancerCancer riskOdds ratioIGF-1Prostate carcinogenesisADIPOQ geneBaseline blood drawCase-control studyAdipocyte-derived cytokineIGFBP-3Serum insulinLEP geneBlood drawFinnish menIntervention groupLarge cohortGG genotypeRelative oddsAdipokine genesAA genotypeCancerVariant allelesA alleleLogistic regression