2020
Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden
Qing T, Mohsen H, Marczyk M, Ye Y, O’Meara T, Zhao H, Townsend JP, Gerstein M, Hatzis C, Kluger Y, Pusztai L. Germline variant burden in cancer genes correlates with age at diagnosis and somatic mutation burden. Nature Communications 2020, 11: 2438. PMID: 32415133, PMCID: PMC7228928, DOI: 10.1038/s41467-020-16293-7.Peer-Reviewed Original ResearchConceptsAge groupsGermline variantsSomatic mutationsLate-onset cancerEarly-onset cancersCancer hallmark genesSomatic mutation burdenMutation burdenMalignant transformationCancer genesYounger ageGermline alterationsCancerVariant burdenBurdenAverage numberHallmark genesAgeNegative correlationStrong negative correlationMutationsPatientsGroup
2018
Increased epigenetic age in normal breast tissue from luminal breast cancer patients
Hofstatter EW, Horvath S, Dalela D, Gupta P, Chagpar AB, Wali VB, Bossuyt V, Storniolo AM, Hatzis C, Patwardhan G, Von Wahlde MK, Butler M, Epstein L, Stavris K, Sturrock T, Au A, Kwei S, Pusztai L. Increased epigenetic age in normal breast tissue from luminal breast cancer patients. Clinical Epigenetics 2018, 10: 112. PMID: 30157950, PMCID: PMC6114717, DOI: 10.1186/s13148-018-0534-8.Peer-Reviewed Original ResearchConceptsNormal breast tissueBreast cancer patientsBreast cancerCancer patientsEpigenetic age accelerationBreast tissueAge accelerationLuminal breast cancer patientsNormal adjacent breast tissueNormal breast tissue samplesIncident breast cancerTissue samplesNon-tumor sitesBreast cancer riskImportant risk factorAdjacent breast tissueKomen Tissue BankChronological ageBreast cancer statusMalignant breast tissueNormal tissue samplesAge-related changesBreast tissue samplesBreast surgeryUnaffected women
2013
Influence of genomics on adjuvant treatments for pre-invasive and invasive breast cancer
Abu-Khalaf M, Pusztai L. Influence of genomics on adjuvant treatments for pre-invasive and invasive breast cancer. The Breast 2013, 22: s83-s87. PMID: 24074799, DOI: 10.1016/j.breast.2013.07.015.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAntineoplastic Agents, HormonalBiopsy, NeedleBreast NeoplasmsChemotherapy, AdjuvantCost SavingsCost-Benefit AnalysisFemaleForecastingGenetic TestingGenomicsHumansImmunohistochemistryMiddle AgedNeoplasm InvasivenessNeoplasm StagingPrognosisReceptors, EstrogenRisk AssessmentSurvival AnalysisTreatment OutcomeConceptsLow-risk patientsBreast cancerRisk patientsTreatment recommendationsEarly-stage breast cancerER-positive breast cancerUse of chemotherapyInvasive breast cancerGenomic testingStage breast cancerInternational practice guidelinesMultivariate prognostic modelCost-effectiveness studiesPotential clinical valueAdjuvant treatmentBreast cancer biomarkersCurrent guidelinesPractice guidelinesClinical utilityClinical valueTumor markersStage IPrognostic modelPrognostic testClinical useThe prognostic impact of age in patients with triple-negative breast cancer
Liedtke C, Hess KR, Karn T, Rody A, Kiesel L, Hortobagyi GN, Pusztai L, Gonzalez-Angulo AM. The prognostic impact of age in patients with triple-negative breast cancer. Breast Cancer Research And Treatment 2013, 138: 591-599. PMID: 23460246, DOI: 10.1007/s10549-013-2461-x.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerOverall survivalPrognostic impactTumor gradeBreast cancerPrimary triple-negative breast cancerMultivariate analysisSignificant independent prognostic variablesAggressive systemic therapyIndependent prognostic variablesPatients 31Median DFSClinical characteristicsEffect of ageSystemic therapyYounger patientsNodal stageTumor sizePathological parametersPoor survivalPrognostic variablesPatientsAge groupsAgeCancer
2010
Higher parity and shorter breastfeeding duration
Shinde SS, Forman MR, Kuerer HM, Yan K, Peintinger F, Hunt KK, Hortobagyi GN, Pusztai L, Symmans WF. Higher parity and shorter breastfeeding duration. Cancer 2010, 116: 4933-4943. PMID: 20665494, DOI: 10.1002/cncr.25443.Peer-Reviewed Original ResearchConceptsTriple-negative BCInvasive breast cancerDuration of breastfeedingBreast cancer phenotypeHigher parityOdds ratioBreast cancerTriple-negative breast cancer (TNBC) phenotypeConsecutive case seriesMultivariate logistic regressionConfidence intervalsAfrican American ethnicityCancer phenotypeShort durationCase seriesFamily historyNegative BCProgenitor cell populationsYounger ageLogistic regressionBreastfeedingAmerican ethnicityDemographic informationCell populationsAge
2007
Expression patterns and predictive value of phosphorylated AKT in early-stage breast cancer
Andre F, Nahta R, Conforti R, Boulet T, Aziz M, Yuan LX, Meslin F, Spielmann M, Tomasic G, Pusztai L, Hortobagyi GN, Michiels S, Delaloge S, Esteva FJ. Expression patterns and predictive value of phosphorylated AKT in early-stage breast cancer. Annals Of Oncology 2007, 19: 315-320. PMID: 17804473, DOI: 10.1093/annonc/mdm429.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedBiomarkers, TumorBreast NeoplasmsChi-Square DistributionCohort StudiesCombined Modality TherapyDisease-Free SurvivalErbB ReceptorsFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansImmunohistochemistryMiddle AgedNeoplasm StagingPredictive Value of TestsProbabilityProportional Hazards ModelsProto-Oncogene Proteins c-aktRandomized Controlled Trials as TopicReceptor, ErbB-2Risk AssessmentSurvival AnalysisTime FactorsTreatment OutcomeConceptsEarly breast cancerBreast cancerPredictive valuePhosphorylated AktAdjuvant chemotherapyPAkt expressionAnthracycline-based adjuvant chemotherapyEarly-stage breast cancerEpidermal growth factor receptor expressionGrowth factor receptor expressionAkt phosphorylationBreast cancer tissuesFactor receptor expressionGrowth factor receptorHER2 tumorsRandomized trialsAssessable tumorsHER2 expressionReceptor expressionPositive stainingCancer tissuesEGFR expressionHER2Tumor resistancePatients