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
2003
Genotype–phenotype analysis for the polymorphic CA repeat in the insulin-like growth factor-I (IGF-I) gene
Kato I, Eastham J, Li B, Smith M, Yu H. Genotype–phenotype analysis for the polymorphic CA repeat in the insulin-like growth factor-I (IGF-I) gene. European Journal Of Epidemiology 2003, 18: 203-209. PMID: 12800944, DOI: 10.1023/a:1023379100539.Peer-Reviewed Original ResearchConceptsPlasma IGF-I levelsIGF-I levelsInsulin-like growthPlasma IGFHospital-based case-control studyCase-control studyGenotype-phenotype analysisCA repeat lengthInverse associationOverall functional significanceProstate cancerStudy subjectsHealthy individualsChance findingWhite womenIGFRacial subgroupsDirect sequencingPositive associationCancerBlack menNumber of CaFunctional significanceAssociationPolymorphic CA