2024
Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni Z, Kundu P, McKean D, Wheeler W, Albanes D, Andreotti G, Antwi S, Arslan A, Bamlet W, Beane-Freeman L, Berndt S, Bracci P, Brennan P, Buring J, Chanock S, Gallinger S, Gaziano J, Giles G, Giovannucci E, Goggins M, Goodman P, Haiman C, Hassan M, Holly E, Hung R, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough M, Milne R, Moore S, Neale R, Oberg A, Patel A, Peters U, Rabe K, Risch H, Shu X, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin B, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir L, Stolzenberg-Solomon R, Klein A. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1229-1239. PMID: 38869494, PMCID: PMC11928872, DOI: 10.1158/1055-9965.epi-24-0096.Peer-Reviewed Original ResearchConceptsPancreatic cancer riskHeavy alcohol consumptionCancer riskSingle-nucleotide polymorphismsAlcohol consumptionExpression quantitative trait lociQuantitative trait lociAssociated with pancreatic cancer riskGenome-wide interaction analysisGenome-wide significant evidenceEtiology of pancreatic cancerFixed-effect meta-analysesGenomic regionsGenome-wide significant evidence of associationLead single-nucleotide polymorphismsTrait lociGenetic variantsEuropean ancestry populationsEvidence of associationGenome-wide association studiesAnalysis of single-nucleotide polymorphismsCase-control studyPancreatic cancerGenome-wide analysisAncestry populations
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
2020
Development of a serum miRNA panel for detection of early stage non-small cell lung cancer
Ying L, Du L, Zou R, Shi L, Zhang N, Jin J, Xu C, Zhang F, Zhu C, Wu J, Chen K, Huang M, Wu Y, Zhang Y, Zheng W, Pan X, Chen B, Lin A, Tam J, van Dam R, Lai D, Chia K, Zhou L, Too H, Yu H, Mao W, Su D. Development of a serum miRNA panel for detection of early stage non-small cell lung cancer. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 25036-25042. PMID: 32943537, PMCID: PMC7547174, DOI: 10.1073/pnas.2006212117.Peer-Reviewed Original ResearchConceptsNonsmall cell lung cancerCell lung cancerMinimally invasive testArea under curveLung cancerInvasive testingEarly stage NSCLCEarly stage non-small cell lung cancerNonsmall cell lung cancer casesNonsmall cell lung cancer detectionStage non-small cell lung cancerStage nonsmall cell lung cancerSerum miRNA panelsNon-small cell lung cancerSmoking statusStage I NSCLCIndependent of smoking statusImprove patient survivalEarly detectionEarly detection of lung cancerUnmet clinical needDetection of lung cancerCase-control cohortMiRNA panelNSCLC cases
2018
A G3BP1-interacting lncRNA promotes ferroptosis and apoptosis in cancer via nuclear sequestration of p53
Mao C, Wang X, Liu Y, Wang M, Yan B, Jiang Y, Shi Y, Shen Y, Liu X, Lai W, Yang R, Xiao D, Cheng Y, Liu S, Zhou H, Cao Y, Yu W, Muegge K, Yu H, Tao Y. A G3BP1-interacting lncRNA promotes ferroptosis and apoptosis in cancer via nuclear sequestration of p53. Cancer Research 2018, 78: canres.3454.2017. PMID: 29588351, PMCID: PMC8073197, DOI: 10.1158/0008-5472.can-17-3454.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsApoptosisBreast NeoplasmsCell Cycle CheckpointsCell NucleusCytoplasmDatasets as TopicDisease ProgressionDNA HelicasesDown-RegulationFemaleGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansKaplan-Meier EstimateLung NeoplasmsMaleMiceMice, NudeMice, SCIDPoly-ADP-Ribose Binding ProteinsProtein BindingRNA HelicasesRNA Recognition MotifRNA Recognition Motif ProteinsRNA, Long NoncodingRNA, Small InterferingSignal TransductionTumor Suppressor Protein p53Xenograft Model Antitumor AssaysConceptsTumor suppressorCancer progressionProtein-binding protein 1Long noncoding RNACell cycle arrestLncRNA functionsRas GTPaseWild-type p53Interaction domainMetabolic genesNoncoding RNAsFunctional domainsP53 modulatorsNucleotides 1P53 pathwayProtein 1Precise roleTypes of cancerLncRNAsSuppressorFerroptosisApoptosisP53ExpressionCfp1
2016
Analysis of Microarray Data on Gene Expression and Methylation to Identify Long Non-coding RNAs in Non-small Cell Lung Cancer
Feng N, Ching T, Wang Y, Liu B, Lin H, Shi O, Zhang X, Zheng M, Zheng X, Gao M, Zheng Z, Yu H, Garmire L, Qian B. Analysis of Microarray Data on Gene Expression and Methylation to Identify Long Non-coding RNAs in Non-small Cell Lung Cancer. Scientific Reports 2016, 6: 37233. PMID: 27849024, PMCID: PMC5110979, DOI: 10.1038/srep37233.Peer-Reviewed Original ResearchMeSH KeywordsA549 CellsCarcinoma, Non-Small-Cell LungCell LineCell Line, TumorCell ProliferationDisease ProgressionDNA MethylationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHEK293 CellsHumansLung NeoplasmsMaleOligonucleotide Array Sequence AnalysisRNA InterferenceRNA, Long NoncodingSurvival AnalysisConceptsDNA methylationGene expressionMicroarray dataGenome-wide expressionLong non-coding RNALong non-coding RNAsNon-coding RNANon-coding RNAsGene expression chipsNon-tumor tissuesAdditional tumor samplesCancer-related genesLOC146880Progression of NSCLCExpression chipsDifferential expressionLncRNA expressionMethylationTumor samplesLncRNAsAdjacent non-tumor tissuesTumor cellsCell proliferationRT-qPCRGenesComplement component 7 (C7), a potential tumor suppressor, is correlated with tumor progression and prognosis
Ying L, Zhang F, Pan X, Chen K, Zhang N, Jin J, Wu J, Feng J, Yu H, Jin H, Su D. Complement component 7 (C7), a potential tumor suppressor, is correlated with tumor progression and prognosis. Oncotarget 2016, 5: 86536-86546. PMID: 27852032, PMCID: PMC5349933, DOI: 10.18632/oncotarget.13294.Peer-Reviewed Original ResearchConceptsNon-small cell lung cancerComplement component 7NSCLC patientsPotential tumor suppressorOvarian cancerOvarian tissueMultivariate Cox regression analysisLow expressionZhejiang Cancer HospitalIndependent prognostic predictorCox regression analysisPrognosis of patientsAdvanced clinical stageCell lung cancerNormal ovarian tissuesExpression of C7Malignant ovarian tissuesTumor suppressorQuantitative polymerase chain reactionCancer HospitalClinical stagePrognostic predictorLung cancerPolymerase chain reactionPoor differentiation
2013
Elucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma
Song M, Tiirikainen M, Kwee S, Okimoto G, Yu H, Wong L. Elucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma. PLOS ONE 2013, 8: e55761. PMID: 23437062, PMCID: PMC3577824, DOI: 10.1371/journal.pone.0055761.Peer-Reviewed Original ResearchConceptsDifferentially Methylated RegionsPromoter CpG islandsCpG islandsDNA methylationDifferential methylationMethylation changesGenome-wide methylation profilingDM locusGenome-wide levelDifferential methylation patternsAberrant DNA methylationPotential biological functionsSignificant differential methylationGene bodiesIllumina HumanMethylation450 BeadChipGenomic regionsIntergenic regionMethylated regionsMethylation patternsCellular developmentEpigenetic changesGene promoterGene listsMethylation profilingBiological functions
2011
Relationship of folate, vitamin B12 and methylation of insulin-like growth factor-II in maternal and cord blood
Ba Y, Yu H, Liu F, Geng X, Zhu C, Zhu Q, Zheng T, Ma S, Wang G, Li Z, Zhang Y. Relationship of folate, vitamin B12 and methylation of insulin-like growth factor-II in maternal and cord blood. European Journal Of Clinical Nutrition 2011, 65: 480-485. PMID: 21245875, PMCID: PMC3071883, DOI: 10.1038/ejcn.2010.294.Peer-Reviewed Original ResearchConceptsCord bloodMaternal bloodVitamin B12Serum levelsMother's bloodWeight gainMother's weight gainRelationship of folateInsulin-like growth factor IISerum folate levelsCross-sectional studyFetal origins hypothesisLevels of folateGrowth factor IIMultivariate linear regression modelPassive smokingInsulin-like growth factor 2 geneBreast cancerFolate levelsIGF2 P3Growth factor 2 geneFactor 2 genePercentage of methylationFactor IIBlood
2010
Association of genetic polymorphisms in DNA repair pathway genes with non-small cell lung cancer risk
Qian B, Zhang H, Zhang L, Zhou X, Yu H, Chen K. Association of genetic polymorphisms in DNA repair pathway genes with non-small cell lung cancer risk. Lung Cancer 2010, 73: 138-146. PMID: 21195504, DOI: 10.1016/j.lungcan.2010.11.018.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungDNA RepairDNA Repair EnzymesDNA-Binding ProteinsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMiddle AgedPolymorphism, GeneticRisk FactorsSmokingXeroderma Pigmentosum Group A ProteinXeroderma Pigmentosum Group D ProteinYoung AdultConceptsNon-small cell lung cancerLung cancer riskSquamous cell carcinomaLung cancerCancer riskCell carcinomaSingle nucleotide polymorphismsHigh riskGenetic polymorphismsNon-small cell lung cancer riskRisk of NSCLCCell lung cancer riskHigher lung cancer riskCell lung cancerVariant AA genotypeDominant risk factorNumerous epidemiological studiesLogistic regression modelsDNA repair pathway genesYoung smokersNSCLC casesSubgroup analysisRisk factorsHealthy controlsStratified analysisABO Blood Group, Helicobacter pylori Seropositivity, and Risk of Pancreatic Cancer: A Case–Control Study
Risch HA, Yu H, Lu L, Kidd MS. ABO Blood Group, Helicobacter pylori Seropositivity, and Risk of Pancreatic Cancer: A Case–Control Study. Journal Of The National Cancer Institute 2010, 102: 502-505. PMID: 20181960, PMCID: PMC2902822, DOI: 10.1093/jnci/djq007.Peer-Reviewed Original ResearchMeSH KeywordsABO Blood-Group SystemAdultAgedAged, 80 and overAntibodies, BacterialAntigens, BacterialBacterial ProteinsCase-Control StudiesConfounding Factors, EpidemiologicConnecticutEnzyme-Linked Immunosorbent AssayFemaleHelicobacter InfectionsHelicobacter pyloriHumansIncidenceMaleMiddle AgedOdds RatioPancreatic NeoplasmsConceptsNon-O blood typeH pylori seropositivityCase-control studyPancreatic cancerPylori seropositivityABO blood groupEnzyme-linked immunosorbent assayBlood typeBlood groupPopulation-based case-control studyNon-O blood groupControl subjects frequencyH pylori colonizationVirulence protein CagAHelicobacter pylori seropositivityPancreatic cancer riskO blood typeRandom digit dialingCagA seropositivityCase patientsH pyloriControl subjectsRisk factorsPylori colonizationCancer risk
2009
Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer
Amundadottir L, Kraft P, Stolzenberg-Solomon RZ, Fuchs CS, Petersen GM, Arslan AA, Bueno-de-Mesquita HB, Gross M, Helzlsouer K, Jacobs EJ, LaCroix A, Zheng W, Albanes D, Bamlet W, Berg CD, Berrino F, Bingham S, Buring JE, Bracci PM, Canzian F, Clavel-Chapelon F, Clipp S, Cotterchio M, de Andrade M, Duell EJ, Fox Jr J, Gallinger S, Gaziano JM, Giovannucci EL, Goggins M, González CA, Hallmans G, Hankinson SE, Hassan M, Holly EA, Hunter DJ, Hutchinson A, Jackson R, Jacobs KB, Jenab M, Kaaks R, Klein AP, Kooperberg C, Kurtz RC, Li D, Lynch SM, Mandelson M, McWilliams RR, Mendelsohn JB, Michaud DS, Olson SH, Overvad K, Patel AV, Peeters PH, Rajkovic A, Riboli E, Risch HA, Shu XO, Thomas G, Tobias GS, Trichopoulos D, Van Den Eeden SK, Virtamo J, Wactawski-Wende J, Wolpin BM, Yu H, Yu K, Zeleniuch-Jacquotte A, Chanock SJ, Hartge P, Hoover RN. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer. Nature Genetics 2009, 41: 986-990. PMID: 19648918, PMCID: PMC2839871, DOI: 10.1038/ng.429.Peer-Reviewed Original ResearchMeSH KeywordsABO Blood-Group SystemAllelesCase-Control StudiesChromosomes, Human, Pair 9Cohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyGenotypeHaplotypesHumansIntronsLinkage DisequilibriumLogistic ModelsMaleOdds RatioPancreatic NeoplasmsPolymorphism, Single NucleotideProspective StudiesRisk FactorsUnited States
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
2007
Insulin Resistance–Related Gene Polymorphisms and Risk of Prostate Cancer
Moore SC, Leitzmann MF, Weinstein SJ, Snyder K, Albanes D, Virtamo J, Graubard BI, Mayne ST, Yu H, Peters U, Gunter MJ. Insulin Resistance–Related Gene Polymorphisms and Risk of Prostate Cancer. Cancer Epidemiology Biomarkers & Prevention 2007, 16: 1315-1317. PMID: 17548707, DOI: 10.1158/1055-9965.epi-07-0191.Peer-Reviewed Original Research
2006
Specimen processing time and measurement of total insulin-like growth factor-I (IGF-I), free IGF-I, and IGF binding protein-3 (IGFBP-3)
Harris T, Strickler H, Yu H, Pollak M, Monrad E, Travin M, Xue X, Rohan T, Kaplan R. Specimen processing time and measurement of total insulin-like growth factor-I (IGF-I), free IGF-I, and IGF binding protein-3 (IGFBP-3). Growth Hormone & IGF Research 2006, 16: 86-92. PMID: 16530441, DOI: 10.1016/j.ghir.2006.01.002.Peer-Reviewed Original ResearchConceptsFree IGF-I levelsIGF-I levelsInsulin-like growth factorTotal IGFIGFBP-3 levelsFree IGFIGFBP-3Blood specimensBlood collectionEpidemiologic studiesTotal insulin-like growth factorSerum separation tubesGrowth factorRisk of cancerEquation linear regression modelsSerum levelsCardiovascular diseaseMajor binding proteinSerum valuesIGFCommercial assaysIGFBPSpecimen processing timeProtein 3Immunosorbent assay
2005
Tipping the Scales: The Effect of Literacy on Obese Patients’ Knowledge and Readiness to Lose Weight
Kennen E, Davis T, Huang J, Yu H, Carden D, Bass R, Arnold C. Tipping the Scales: The Effect of Literacy on Obese Patients’ Knowledge and Readiness to Lose Weight. Southern Medical Journal 2005, 98: 15-18. PMID: 15678634, DOI: 10.1097/01.smj.0000146617.21240.49.Peer-Reviewed Original ResearchConceptsObese patientsOverweight/obese patientsWeight lossHalf of patientsThird of patientsPrimary care clinicsAdverse health consequencesMean respondent ageLiteracy levelsCare clinicsPatient interviewsAdult outpatientsPatient educationPatientsHealth consequencesPublic hospitalsConvenience sampleLow literacyLow literacy skillsSignificant relationRespondent ageOverweightObesityOutpatientsLevels
2004
Physicians’ Weight Loss Counseling in Two Public Hospital Primary Care Clinics
Huang J, Yu H, Marin E, Brock S, Carden D, Davis T. Physicians’ Weight Loss Counseling in Two Public Hospital Primary Care Clinics. Academic Medicine 2004, 79: 156-161. PMID: 14744717, DOI: 10.1097/00001888-200402000-00012.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAttitude of Health PersonnelClinical CompetenceCounselingDiabetes Mellitus, Type 2FemaleFocus GroupsHospitals, PublicHumansHyperlipidemiasInterviews as TopicLogistic ModelsLouisianaMaleMiddle AgedObesityOutpatient Clinics, HospitalPhysician's RolePractice Patterns, Physicians'Primary Health CareSampling StudiesWeight LossConceptsWeight loss counselingWeight loss recommendationsPrimary care clinicsPatient understandingWeight lossCare clinicsPatient recallLouisiana State University Health Sciences Center-ShreveportHospital primary care clinicPrimary care physiciansWeight loss strategiesRisk of obesityWeight management strategiesDistinct clinical diagnosisStage of readinessStructured exit interviewsObese patientsPhysician counselingCare physiciansPhysician barriersWeight managementLoss strategiesClinical diagnosisPatientsPhysicians
2003
Relation of serum insulin-like growth factor-I (IGF-I) and IGF binding protein-3 to risk of prostate cancer (United States)
Li L, Yu H, Schumacher F, Casey G, Witte J. Relation of serum insulin-like growth factor-I (IGF-I) and IGF binding protein-3 to risk of prostate cancer (United States). Cancer Causes & Control 2003, 14: 721-726. PMID: 14674736, DOI: 10.1023/a:1026383824791.Peer-Reviewed Original ResearchConceptsIGFBP-3 molar ratioInsulin-like growth factorIGFBP-3Prostate cancerHigher IGFOdds ratioSibling-matched case-control studySerum insulin-like growth factorInsulin-like growth factor IProtein 3Growth factorIGFBP-3 associationSerum IGF levelsEffects of IGFConfidence intervalsImportant risk factorCase-control studyConditional logistic regressionGrowth factor IProstatic epithelial cellsAdvanced diseaseSerum IGFIGF levelsAggressive diseaseRisk factorsPrevalence of Overweight, Obesity, and Associated Diseases among Outpatients in a Public Hospital
Huang J, Marin E, Yu H, Carden D, Arnold C, Davis T, Banks D. Prevalence of Overweight, Obesity, and Associated Diseases among Outpatients in a Public Hospital. Southern Medical Journal 2003, 96: 558-562. PMID: 12938782, DOI: 10.1097/01.smj.0000054725.35262.d4.Peer-Reviewed Original ResearchConceptsBody mass indexPrevalence of obesityPublic hospitalsLouisiana State University Health Sciences Center-ShreveportHigher body mass indexObesity-associated conditionsPercent of patientsTertiary health centerPrimary care patientsPublic hospital patientsPrevalence of overweightChronic medical conditionsObesity-related diseasesCross-sectional surveyStructure of careObese patientsCare patientsMass indexHospital patientsHealth centersMedical conditionsIndigent populationAssociated diseaseObesity ratesPatients
2002
Plasma concentrations of insulin-like growth factors among healthy adult men and postmenopausal women: associations with body composition, lifestyle, and reproductive factors.
Chang S, Wu X, Yu H, Spitz M. Plasma concentrations of insulin-like growth factors among healthy adult men and postmenopausal women: associations with body composition, lifestyle, and reproductive factors. Cancer Epidemiology Biomarkers & Prevention 2002, 11: 758-66. PMID: 12163330.Peer-Reviewed Original ResearchConceptsInsulin-like growth factorIGF BP-3 levelsBody mass indexBP-3 levelsIGF BP-3IGF-II levelsHormone replacement therapyIGF-I levelsLow physical activityIGF levelsIGF-IIPhysical activityPostmenopausal womenHRT useCaloric intakeReproductive factorsLower IGF-II levelsTraditional cancer risk factorsLow IGF-I levelsPlasma insulin-like growth factorHigher body mass indexGrowth factorIGF-BP levelsPlasma IGF-IIRecent HRT use
2001
Insulin-like growth factor-I and prostate cancer: a meta-analysis
Shi R, Berkel H, Yu H. Insulin-like growth factor-I and prostate cancer: a meta-analysis. British Journal Of Cancer 2001, 85: 991-996. PMID: 11592771, PMCID: PMC2375097, DOI: 10.1054/bjoc.2001.1961.Peer-Reviewed Original ResearchConceptsHedges's standardized mean differenceLevels of IGFProstate cancer patientsStandardized mean differenceIGFBP-3Prostate cancerHigher IGFCancer patientsInsulin-like growth factorIGF-binding proteinsEffects of IGFCase-control studyLow IGFMEDLINE searchIGFMean differenceGrowth factorCancerPatientsStandard protocolRiskLevels
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