2023
Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival
Wang Z, Katsaros D, Wang J, Biglio N, Hernandez B, Fei P, Lu L, Risch H, Yu H. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival. Scientific Reports 2023, 13: 18962. PMID: 37923775, PMCID: PMC10624674, DOI: 10.1038/s41598-023-45932-4.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCluster AnalysisFemaleHumansMachine LearningNeoplasm Recurrence, LocalSurvival AnalysisConceptsImmune cell clustersT cellsHost immunityImmune cellsUnsupervised hierarchical clusteringImmune responseCD8-positive T cellsMemory CD4 T cellsCox regression survival analysisRegulatory T cellsPositive T cellsCD4 T cellsDifferent immune cellsDistinct immune responsesBreast cancer survivalImmune cell subtypesMemory B cellsImmune cell typesRegression survival analysisCell clustersBreast cancer progressionT cell receptor signalingCytokine stormOverall survivalFavorable survivalGenetic variants of glucose metabolism and exposure to smoking in African American breast cancer.
Jung S, Papp J, Sobel E, Pellegrini M, Yu H. Genetic variants of glucose metabolism and exposure to smoking in African American breast cancer. Endocrine Related Cancer 2023, 30 PMID: 36705562, PMCID: PMC10095926, DOI: 10.1530/erc-22-0184.Peer-Reviewed Original ResearchConceptsInsulin resistanceBC riskLifestyle factorsSingle nucleotide polymorphismsAA womenRisk genotypesAfrican American postmenopausal womenAfrican-American breast cancerRisk of BCBreast cancer developmentDose-dependent mannerPostmenopausal womenPositive BCPredictive markerRisk factorsFemale hormonesBreast cancerGlucose metabolismMetabolic biomarkersGene-environment interaction analysisSmokingPreventive interventionsCancer developmentWhite womenIndividual single nucleotide polymorphisms
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
2014
A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer
Huang S, Yee C, Ching T, Yu H, Garmire L. A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer. PLOS Computational Biology 2014, 10: e1003851. PMID: 25233347, PMCID: PMC4168973, DOI: 10.1371/journal.pcbi.1003851.Peer-Reviewed Original Research
2011
Genotypes and phenotypes of IGF-I and IGFBP-3 in breast tumors among Chinese women
Qian B, Zheng H, Yu H, Chen K. Genotypes and phenotypes of IGF-I and IGFBP-3 in breast tumors among Chinese women. Breast Cancer Research And Treatment 2011, 130: 217. PMID: 21562710, DOI: 10.1007/s10549-011-1552-9.Peer-Reviewed Original ResearchConceptsBreast cancer riskIGFBP-3 genotypesIGFBP-3 single nucleotide polymorphismsCancer riskChinese womenIGFBP-3Single nucleotide polymorphismsBreast cancerBreast tumorsTumor samplesLocal breast tissuesBreast cancer patientsIGF-I activityER-negative tumorsUnconditional logistic regressionCase-control studyFresh tumor samplesAge-matched controlsWilcoxon rank sum testRank sum testHigher peptide levelsIGFBP-3 geneIGF-I geneNegative tumorsCancer patients
2010
A KRAS-Variant in Ovarian Cancer Acts as a Genetic Marker of Cancer Risk
Ratner E, Lu L, Boeke M, Barnett R, Nallur S, Chin LJ, Pelletier C, Blitzblau R, Tassi R, Paranjape T, Hui P, Godwin AK, Yu H, Risch H, Rutherford T, Schwartz P, Santin A, Matloff E, Zelterman D, Slack FJ, Weidhaas JB. A KRAS-Variant in Ovarian Cancer Acts as a Genetic Marker of Cancer Risk. Cancer Research 2010, 70: 6509-6515. PMID: 20647319, PMCID: PMC2923587, DOI: 10.1158/0008-5472.can-10-0689.Peer-Reviewed Original ResearchConceptsOvarian cancerKRAS-variantOC patientsCancer riskRisk of OCIndependent case-control analysesCase-control studyOvarian cancer syndromeCase-control analysisFamily membersAdvanced diseaseWomen's cancersRisk factorsBRCA2 mutationsHBOC patientsOC casesIndependent cohortHBOC familiesHereditary breastSolid tumorsCancer syndromesKRAS oncogeneVariant allelesPatientsCancerRacial differences in the association between body mass index and serum IGF1, IGF2, and IGFBP3
Fowke JH, Matthews CE, Yu H, Cai Q, Cohen S, Buchowski MS, Zheng W, Blot WJ. Racial differences in the association between body mass index and serum IGF1, IGF2, and IGFBP3. Endocrine Related Cancer 2010, 17: 51-60. PMID: 19786462, PMCID: PMC2814999, DOI: 10.1677/erc-09-0023.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedBlack or African AmericanBody Mass IndexBreast NeoplasmsCross-Sectional StudiesFemaleFollow-Up StudiesGenetic Predisposition to DiseaseHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor Binding ProteinsInsulin-Like Growth Factor IInsulin-Like Growth Factor IIMiddle AgedPostmenopausePremenopauseProspective StudiesSoutheastern United StatesWhite PeopleYoung AdultConceptsBody mass indexAge 21 yearsBreast cancer riskIGF1 levelsRace/ethnicityIGFBP3 levelsMass indexWhite womenAA womenCancer riskRacial differencesPremenopausal breast cancer riskAfrican American race/ethnicityLower body mass indexEffect of obesityHigher IGF1 levelsCross-sectional analysisFree IGF1Serum IGF1IGF levelsBMI rangeAge 40Wide BMI rangeProtein 3Women
2009
Exercise and quality of life during and after treatment for breast cancer: results of two randomized controlled trials
Cadmus LA, Salovey P, Yu H, Chung G, Kasl S, Irwin ML. Exercise and quality of life during and after treatment for breast cancer: results of two randomized controlled trials. Psycho-Oncology 2009, 18: 343-352. PMID: 19242918, PMCID: PMC4221990, DOI: 10.1002/pon.1525.Peer-Reviewed Original ResearchConceptsPost-treatment survivorsBreast cancer survivorsQuality of lifeCancer survivorsPost-treatment breast cancer survivorsHospital-based tumor registryHome-based exercise programTrial of exerciseUsual care groupEffects of exerciseSocial functioningLower social functioningAdjuvant therapyUsual careExercise interventionTumor RegistryExercise programCare groupLife impairmentBreast cancerDepressive symptomsSurvivor subgroupsHigher baselineReduced qualityLife benefitsRandomized Controlled Trial of Aerobic Exercise on Insulin and Insulin-like Growth Factors in Breast Cancer Survivors: The Yale Exercise and Survivorship Study
Irwin ML, Varma K, Alvarez-Reeves M, Cadmus L, Wiley A, Chung GG, DiPietro L, Mayne ST, Yu H. Randomized Controlled Trial of Aerobic Exercise on Insulin and Insulin-like Growth Factors in Breast Cancer Survivors: The Yale Exercise and Survivorship Study. Cancer Epidemiology Biomarkers & Prevention 2009, 18: 306-313. PMID: 19124513, PMCID: PMC2841479, DOI: 10.1158/1055-9965.epi-08-0531.Peer-Reviewed Original ResearchConceptsBreast cancer survivorsPostmenopausal breast cancer survivorsModerate-intensity aerobic exerciseUsual care groupBreast cancer riskAerobic exerciseIGFBP-3Cancer survivorsUsual careCare groupCancer riskYale-New Haven Hospital Tumor RegistryCurrent physical activity levelsInsulin-like growth factorHospital tumor registryUsual care participantsAerobic exercise interventionExercise-induced decreasePhysical activity levelsInsulin-like growthExercise groupExercise interventionControlled TrialsTumor RegistryBrisk walking
2008
Insulin, Insulin-Like Growth Factor-I, and Risk of Breast Cancer in Postmenopausal Women
Gunter MJ, Hoover DR, Yu H, Wassertheil-Smoller S, Rohan TE, Manson JE, Li J, Ho GY, Xue X, Anderson GL, Kaplan RC, Harris TG, Howard BV, Wylie-Rosett J, Burk RD, Strickler HD. Insulin, Insulin-Like Growth Factor-I, and Risk of Breast Cancer in Postmenopausal Women. Journal Of The National Cancer Institute 2008, 101: 48-60. PMID: 19116382, PMCID: PMC2639294, DOI: 10.1093/jnci/djn415.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedBiomarkers, TumorBlood GlucoseBody Mass IndexBreast NeoplasmsCase-Control StudiesEstradiolEstrogen Replacement TherapyFemaleHumansHyperinsulinismInsulinInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IMiddle AgedMultivariate AnalysisObesityOdds RatioPostmenopauseProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsStatistics, NonparametricConceptsInsulin-like growth factorLevels of insulinBreast cancerInsulin levelsRisk factorsPostmenopausal womenGrowth factorMultiple breast cancer risk factorsMultivariable Cox proportional hazards modelsWomen's Health Initiative Observational StudyBreast cancer case subjectsBreast cancer risk factorsCox proportional hazards modelHormone therapy useIncident breast cancerIndependent risk factorPostmenopausal breast cancerCancer risk factorsCase-cohort studyProportional hazards modelTotal IGFNondiabetic womenBaseline characteristicsFree IGFProspective cohortHigh miR-21 expression in breast cancer associated with poor disease-free survival in early stage disease and high TGF-β1
Qian B, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Mu L, Yu H. High miR-21 expression in breast cancer associated with poor disease-free survival in early stage disease and high TGF-β1. Breast Cancer Research And Treatment 2008, 117: 131-140. PMID: 18932017, DOI: 10.1007/s10549-008-0219-7.Peer-Reviewed Original ResearchConceptsMiR-21 expressionPoor disease-free survivalHigh miR-21 expressionDisease-free survivalHormone receptor statusHigh miR-21Breast cancerMiR-21Tumor samplesReceptor statusTumor gradeTGF-β1Elevated miR-21 expressionNegative hormone receptor statusProportional hazards regression analysisHigher TGF-β1Lymph node involvementEarly-stage diseaseEarly-stage patientsPrimary breast cancerHazards regression analysisHigh tumor gradeFresh tumor samplesTumor cell growthNode involvementTGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival
Mu L, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Yu H. TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival. British Journal Of Cancer 2008, 99: 1357-1363. PMID: 18827819, PMCID: PMC2570529, DOI: 10.1038/sj.bjc.6604689.Peer-Reviewed Original ResearchConceptsHigher TGF-β1TGF-β1 genotypesTGF-β1T genotypeHazard ratioBreast cancerBreast tumorsProportional hazards regression analysisLower TGF-β1Early-stage diseaseHazards regression analysisBreast cancer patientsLate-stage diseaseShorter overall survivalFresh tumor samplesTGF-β1 concentrationsBreast cancer progressionClinical characteristicsIGFBP-3Overall survivalDisease recurrenceReceptor statusPatient survivalSurvival outcomesDisease stage
2007
Energy balance, insulin resistance biomarkers, and breast cancer risk
Fair A, Dai Q, Shu X, Matthews C, Yu H, Jin F, Gao Y, Zheng W. Energy balance, insulin resistance biomarkers, and breast cancer risk. Cancer Epidemiology 2007, 31: 214-219. PMID: 17646056, PMCID: PMC1994998, DOI: 10.1016/j.cdp.2007.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdultAsian PeopleBiomarkersBody Mass IndexBreast NeoplasmsCase-Control StudiesChinaC-PeptideEnergy IntakeEnergy MetabolismExerciseFemaleHumansInsulin ResistanceInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInsulin-Like Growth Factor IIMiddle AgedMotor ActivityRisk AssessmentRisk FactorsWaist-Hip RatioConceptsInsulin-like growth factorBreast cancer riskExercise/sports activitiesShanghai Breast Cancer StudyBody mass indexInsulin resistance biomarkersC-peptideCancer riskIGFBP-3Breast cancerLevels of IGFEnergy intakeInsulin growth factor binding protein 3Growth factor binding protein 3Chinese womenResistance biomarkersInsulin-like growth factor-1C-peptide levelsBreast cancer preventionPhysical activity statusSports activitiesTotal energy intakeBody fat distributionCase-control studyBreast cancer cases
2006
Up-regulation of TLK1B by eIF4E overexpression predicts cancer recurrence in irradiated patients with breast cancer
Wolfort R, de Benedetti A, Nuthalapaty S, Yu H, Chu Q, Li B. Up-regulation of TLK1B by eIF4E overexpression predicts cancer recurrence in irradiated patients with breast cancer. Surgery 2006, 140: 161-169. PMID: 16904965, DOI: 10.1016/j.surg.2006.05.001.Peer-Reviewed Original ResearchHigh eIF4E, VEGF, and Microvessel Density in Stage I to III Breast Cancer
Byrnes K, White S, Chu Q, Meschonat C, Yu H, Johnson L, DeBenedetti A, Abreo F, Turnage R, McDonald J, Li B. High eIF4E, VEGF, and Microvessel Density in Stage I to III Breast Cancer. Annals Of Surgery 2006, 243: 684-692. PMID: 16633004, PMCID: PMC1570543, DOI: 10.1097/01.sla.0000216770.23642.d8.Peer-Reviewed Original ResearchConceptsVascular endothelial growth factorCancer-related deathWorse clinical outcomesBreast cancer patientsHigh eIF4E overexpressionMicrovessel densityEIF4E overexpressionCancer specimensHigh eIF4ENodal statusClinical outcomesVEGF elevationMVD countCancer patientsCancer recurrenceBreast cancerStage IShorter disease-free survivalClinical surveillance protocolLow eIF4E overexpressionDisease-free survivalHighest cancer-related deathsHigher VEGF levelsTumor microvessel densityBreast cancer specimens
2005
A Prospective Trial on Initiation Factor 4E (eIF4E) Overexpression and Cancer Recurrence in Node-Positive Breast Cancer
McClusky D, Chu Q, Yu H, DeBenedetti A, Johnson L, Meschonat C, Turnage R, McDonald J, Abreo F, Li B. A Prospective Trial on Initiation Factor 4E (eIF4E) Overexpression and Cancer Recurrence in Node-Positive Breast Cancer. Annals Of Surgery 2005, 123: 278-286. PMID: 16192819, PMCID: PMC1402342, DOI: 10.1097/01.sla.0000184224.55949.90.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkers, TumorBlotting, WesternBreast NeoplasmsElectrophoresis, Polyacrylamide GelEukaryotic Initiation Factor-4EFemaleFollow-Up StudiesHumansIncidenceLymph NodesLymphatic MetastasisMastectomy, Extended RadicalMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingProspective StudiesRisk FactorsSurvival RateConceptsNode-positive breast cancerBreast cancerCancer recurrenceHighest tertileEIF4E overexpressionProspective trialNodal statusHigher cancer recurrence rateCancer-related death rateCox proportional hazards modelNode-positive diseaseKaplan-Meier methodCancer recurrence rateLog-rank testCancer-related deathProportional hazards modelRelative risk increaseHigh eIF4E overexpressionRelative risk calculationsMedian followDisease recurrenceIndependent predictorsIntermediate tertileNoncancer patientsProspective study
2004
Insulin‐like growth factor‐I gene polymorphism and breast cancer risk in Chinese women
Wen W, Gao Y, Shu X, Yu H, Cai Q, Smith J, Zheng W. Insulin‐like growth factor‐I gene polymorphism and breast cancer risk in Chinese women. International Journal Of Cancer 2004, 113: 307-311. PMID: 15386404, DOI: 10.1002/ijc.20571.Peer-Reviewed Original ResearchConceptsBreast cancer riskBreast cancerPremenopausal womenCancer riskPopulation-based case-control studyAge frequency-matched controlsChinese womenIncident breast cancer casesPlasma IGF-I levelsInsulin-like growth factorIGF-I levelsFrequency-matched controlsCase-control studyBreast cancer casesAssociation of IGFDose-response mannerMeta-analysis resultsBreast cancer susceptibilityIGF-I geneSignificant genetic factorInsulin-like growth factor-I gene polymorphismPlasma IGFCancer casesGeneral populationGene polymorphismsReports: Insulin-Like Growth Factor-I, Soy Protein Intake, and Breast Cancer Risk
Sanderson M, Shu X, Yu H, Dai Q, Malin A, Gao Y, Zheng W. Reports: Insulin-Like Growth Factor-I, Soy Protein Intake, and Breast Cancer Risk. Nutrition And Cancer 2004, 50: 8-15. PMID: 15572292, DOI: 10.1207/s15327914nc5001_2.Peer-Reviewed Original ResearchConceptsIGF-I levelsShanghai Breast Cancer StudyIGFBP-3 levelsSoy protein intakeBreast cancer riskCancer riskProtein intakeBreast cancerInsulin-like growth factor-binding protein-3 levelsPopulation-based case-control studyIncident breast cancer casesPremenopausal breast cancer riskPopulation-based cancer registriesBreast cancer cell growthInsulin-like growth factorPremenopausal breast cancerProtein-3 levelsEffects of IGFCase-control studyBreast cancer casesInsulin-like growthCancer cell growthBreast Cancer StudyPostmenopausal womenCancer RegistryIGF‐I and breast cancer: A meta‐analysis
Shi R, Yu H, McLarty J, Glass J. IGF‐I and breast cancer: A meta‐analysis. International Journal Of Cancer 2004, 111: 418-423. PMID: 15221971, DOI: 10.1002/ijc.20233.Peer-Reviewed Original ResearchConceptsHedges's standardized mean differenceIGFBP-3 levelsLevels of IGFIGF-binding proteinsBreast cancer riskStandardized mean differencePremenopausal womenBreast cancerIGFBP-3Cancer riskBreast cancer patientsEffects of IGFPostmenopausal womenPostmenopausal groupPremenopausal groupHigher IGFCancer patientsClinical studiesEpidemiologic studiesParacrine mechanismsIGFOverall associationMean differenceCancerWomenGenetic polymorphisms in the IGFBP3 gene: association with breast cancer risk and blood IGFBP-3 protein levels among Chinese women.
Ren Z, Cai Q, Shu X, Cai H, Li C, Yu H, Gao Y, Zheng W. Genetic polymorphisms in the IGFBP3 gene: association with breast cancer risk and blood IGFBP-3 protein levels among Chinese women. Cancer Epidemiology Biomarkers & Prevention 2004, 13: 1290-5. PMID: 15298948, DOI: 10.1158/1055-9965.1290.13.8.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionBase SequenceBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChinaConfidence IntervalsFemaleGenetic Predisposition to DiseaseHumansIncidenceInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor Binding ProteinsMiddle AgedMolecular Sequence DataOdds RatioPolymerase Chain ReactionPolymorphism, GeneticPopulation SurveillanceReference ValuesRisk AssessmentConceptsInsulin-like growth factorIGFBP-3 protein levelsBreast cancer riskBreast cancerVariant allelesIGFBP3 polymorphismsIGFBP-3IGFBP3 geneCancer riskElevated riskRisk genotypesActions of IGFsIncident breast cancer patientsChinese womenIGFBP-3 levelsIGF binding proteinBreast cancer patientsGenetic polymorphismsIGFBP-3 proteinProtein levelsCase-control studyDose-response mannerCancer patientsOdds ratioPolymorphism A