2021
Twenty-year risks of breast cancer-specific mortality for stage III breast cancer in the surveillance, epidemiology, and end results registry
Leone JP, Leone BA, Tayob N, Hassett MJ, Leone J, Freedman RA, Tolaney SM, Winer EP, Vallejo CT, Lin NU. Twenty-year risks of breast cancer-specific mortality for stage III breast cancer in the surveillance, epidemiology, and end results registry. Breast Cancer Research And Treatment 2021, 187: 843-852. PMID: 33590387, DOI: 10.1007/s10549-021-06121-x.Peer-Reviewed Original ResearchConceptsRisk of BCSMBreast cancer-specific mortalityStage III breast cancerHR-negative diseaseHR-positive diseaseCancer-specific mortalityBreast cancerLate deathsNodal statusTumor sizeUnknown hormone receptor statusHR-positive tumorsEnd Results registryHormone receptor statusEnd Results (SEER) dataTraditional clinicopathologic factorsCumulative incidence functionGray regressionMethodsUsing SurveillanceAxillary nodesClinicopathologic factorsReceptor statusStage subgroupsPrimary tumorTumor grade
2017
Immune biomarkers and treatment (tx) outcome in hormone receptor-positive (HR+) breast cancer (BC) patients (pts) treated with preoperative chemotherapy (preop chemo) plus bevacizumab (bev).
Waks A, Barry W, Gjini E, Dillon D, Rodig S, Brock J, Baltay M, Savoie J, Stover D, Winer E, Krop I, Tolaney S. Immune biomarkers and treatment (tx) outcome in hormone receptor-positive (HR+) breast cancer (BC) patients (pts) treated with preoperative chemotherapy (preop chemo) plus bevacizumab (bev). Journal Of Clinical Oncology 2017, 35: e12134-e12134. DOI: 10.1200/jco.2017.35.15_suppl.e12134.Peer-Reviewed Original ResearchTumor-infiltrating lymphocytesTPD-L1Miller-PaynePathologic responseImmune biomarkersHormone receptor-positive breast cancer patientsReceptor-positive breast cancer patientsPanCancer Immune Profiling PanelResidual cancer burden scorePathologic complete responsePD-L1 expressionBreast cancer patientsPD-L1 scoresImmune Profiling PanelImportant clinical implicationsPreoperative chemotherapyComplete responseProspective trialTumor-immune interactionsBurden scoreCancer patientsImmune microenvironmentUnadjusted analysesTumor gradeTreatment outcomes
2013
Choosing mastectomy over lumpectomy: Factors associated with surgical decisions in young women with breast cancer.
Rosenberg S, Sepucha K, Ruddy K, Tamimi R, Gelber S, Meyer M, Schapira L, Come S, Borges V, Winer E, Partridge A. Choosing mastectomy over lumpectomy: Factors associated with surgical decisions in young women with breast cancer. Journal Of Clinical Oncology 2013, 31: 6507-6507. DOI: 10.1200/jco.2013.31.15_suppl.6507.Peer-Reviewed Original ResearchBreast cancerYoung womenSurgical decisionStage IMulti-center cohort studyEstrogen receptor-positive tumorsReceptor-positive tumorsFinal multivariable modelFear of recurrenceDefinitive surgeryNodal involvementCohort studyMedian ageBilateral mastectomyER statusMultivariable analysisLower BMIPositive tumorsTumor sizeSurgical choiceOvarian cancerTumor gradeMultivariable modelMastectomyAge 40
2011
P4-11-12: Molecular Phenotype of Breast Cancers in a Large Cohort of Young Women According to Time Interval Since Pregnancy.
Collins L, Gelber S, Marotti J, Cole K, Kereakoglow S, Ruddy K, Brachtel E, Schapira L, Come S, Borges V, Schedin P, Warner E, Winer E, Partridge A. P4-11-12: Molecular Phenotype of Breast Cancers in a Large Cohort of Young Women According to Time Interval Since Pregnancy. Cancer Research 2011, 71: p4-11-12-p4-11-12. DOI: 10.1158/0008-5472.sabcs11-p4-11-12.Peer-Reviewed Original ResearchNulliparous young womenBreast cancerYoung womenLast pregnancyParous womenNulliparous womenTumor gradeLarge cohortBreast cancer molecular phenotypesPregnancy-associated breast cancerOngoing prospective cohort studyMolecular phenotypesLuminal B cancersCentral pathology reviewProspective cohort studyMonths of diagnosisTriple-negative cancersBreast cancer riskGenomic alterationsHER2 typeParous breastPrior pregnancyB cancersCohort studyMedian agePathologic features and molecular phenotype by patient age in a large cohort of young women with breast cancer
Collins LC, Marotti JD, Gelber S, Cole K, Ruddy K, Kereakoglow S, Brachtel EF, Schapira L, Come SE, Winer EP, Partridge AH. Pathologic features and molecular phenotype by patient age in a large cohort of young women with breast cancer. Breast Cancer Research And Treatment 2011, 131: 1061-1066. PMID: 22080245, DOI: 10.1007/s10549-011-1872-9.Peer-Reviewed Original ResearchConceptsBasal-like carcinomasBreast cancerPathologic featuresYoung womenPatient ageTumor stageMolecular phenotypesInvasive breast cancerLuminal B tumorsPoor prognostic featuresDifferent age groupsClinical characteristicsB tumorsReceptor statusPrognostic featuresCentral reviewMedical recordsTumor gradeHigh prevalenceLarge cohortGeneral populationAge groupsBiomarker expressionCancerHER2Breast Medical Oncologists' Use of Standard Prognostic Factors to Predict a 21‐Gene Recurrence Score
Kamal AH, Loprinzi CL, Reynolds C, Dueck AC, Geiger XJ, Ingle JN, Carlson RW, Hobday TJ, Winer EP, Goetz MP. Breast Medical Oncologists' Use of Standard Prognostic Factors to Predict a 21‐Gene Recurrence Score. The Oncologist 2011, 16: 1359-1366. PMID: 21934103, PMCID: PMC3228065, DOI: 10.1634/theoncologist.2011-0048.Peer-Reviewed Original ResearchConceptsRecurrence scorePrognostic criteriaRS riskTreatment recommendationsIntermediate-risk casesHormone receptor statusLymph node negativeProspective clinical trialsStandard prognostic factorsIntermediate recurrence scoreAbility of oncologistsChemotherapy useChemotherapy recommendationsChemotherapy benefitNode negativePrognostic factorsReceptor statusHistologic typeAcademic oncologistsOncologists' useTumor gradeClinical trialsBreast cancerRS categoryOncologist's ability
2009
Personalizing treatment in early-stage breast cancer: The role of standard clinical factors and genomic information in adjuvant chemotherapy decision making
Gold J, Najita J, Lester S, Richardson A, Morganstern D, Chen W, Partridge A, Krop I, Winer E, Burstein H. Personalizing treatment in early-stage breast cancer: The role of standard clinical factors and genomic information in adjuvant chemotherapy decision making. Journal Of Clinical Oncology 2009, 27: 572-572. DOI: 10.1200/jco.2009.27.15_suppl.572.Peer-Reviewed Original ResearchEarly-stage breast cancerOncotype DX recurrence scoreRecurrence scoreDX recurrence scoreAdjuvant chemotherapyClinical factorsTumor gradeChemotherapy decisionsBreast cancerMultivariable logistic regression modelStandard clinicopathologic dataProgesterone receptor expressionReceipt of chemotherapyAdjuvant chemotherapy decisionsLow recurrence scoreHigh recurrence scoreStage breast cancerSingle academic institutionLikelihood of benefitStandard clinical factorsElectronic medical recordsLogistic regression modelsChemotherapy recommendationsMenopausal statusChemotherapy administration
2007
How well do standard prognostic criteria predict oncotype DX (ODX) scores?
Kamal A, Loprinzi C, Reynolds C, Dueck A, Geiger X, Ingle J, Carlson R, Hobday T, Winer E, Perez E, Goetz M. How well do standard prognostic criteria predict oncotype DX (ODX) scores? Journal Of Clinical Oncology 2007, 25: 576-576. DOI: 10.1200/jco.2007.25.18_suppl.576.Peer-Reviewed Original ResearchODX scoresPrognostic criteriaBreast cancerExpert breast pathologistsMayo Clinic patientsOncotype DX scoreAssessment of ERAdjuvant chemotherapyIntermediate riskBreast pathologistsClinic patientsTumor sizeAcademic oncologistsTumor gradeHigh riskTumor slidesStandardized criteriaClinical casesPatientsOncologistsGene expression profilingSignificant financial relationshipChemotherapyODXScores