2024
Comparison of incident breast cancer cases in the largest national US tumor registries
Plichta J, Thomas S, Chanenchuk T, Chan K, Hyslop T, Hwang E, Greenup R. Comparison of incident breast cancer cases in the largest national US tumor registries. Cancer 2024 PMID: 39154223, DOI: 10.1002/cncr.35525.Peer-Reviewed Original ResearchIncident breast cancer casesUS Cancer StatisticsBreast cancer casesNational Cancer DatabaseNon-HispanicNon-Hispanic American Indian/Alaska NativesCancer casesTumor RegistryIn situ breast cancerPopulation cancer registryNon-Hispanic blacksSamples of breast cancer patientsNon-Hispanic whitesAmerican Indian/Alaska NativeEnd Results ProgramBreast cancerPacific IslandersCancer RegistryCancer statisticsIndian/Alaska NativeCase ascertainmentInterpretation of findingsResults ProgramBreast cancer patientsRegistry
2023
Comparison of incident breast cancer cases in the largest national US tumor registries.
Plichta J, Thomas S, Record S, Hyslop T, Hwang E, Greenup R. Comparison of incident breast cancer cases in the largest national US tumor registries. Journal Of Clinical Oncology 2023, 41: 6512-6512. DOI: 10.1200/jco.2023.41.16_suppl.6512.Peer-Reviewed Original ResearchIncident breast cancer casesNumber of patientsRace/ethnicityBreast cancer casesTumor RegistryCase ascertainmentBreast cancerCancer casesPatient countsNon-Hispanic American Indian/Alaska NativesNational tumor registryYear of diagnosisMale breast cancerPopulation cancer registryBreast cancer patientsPacific Islander patientsAmerican Indians/Alaska NativesNon-Hispanic blacksNon-Hispanic whitesChi-square testPublic-use databaseFemale patientsHispanic patientsTreatment patternsCancer Registry
2022
Ancillary treatment referrals and visits after breast cancer surgery in a sociodemographically diverse population.
Chan V, Heller D, Berger E, Capozza S, Greenup R, Sanft T. Ancillary treatment referrals and visits after breast cancer surgery in a sociodemographically diverse population. Journal Of Clinical Oncology 2022, 40: 1533-1533. DOI: 10.1200/jco.2022.40.16_suppl.1533.Peer-Reviewed Original ResearchBreast cancer surgeryProvider referralCancer surgeryMultivariable analysisHigher median household incomeHispanic ethnicityYale New Haven Health SystemMedian household incomeMultivariable logistic regression analysisHealth systemHigh school degreeLarge urban health systemPost-operative morbidityBreast cancer patientsUrban health systemZip codesLogistic regression analysisUrban cancer centerPoor healthcare accessElectronic health recordsAncillary therapySchool degreeCancer CenterCancer patientsTreatment referral
2018
The Clinical Significance of Breast-only and Node-only Pathologic Complete Response (pCR) After Neoadjuvant Chemotherapy (NACT)
Fayanju O, Ren Y, Thomas S, Greenup R, Plichta J, Rosenberger L, Tamirisa N, Force J, Boughey J, Hyslop T, Hwang E. The Clinical Significance of Breast-only and Node-only Pathologic Complete Response (pCR) After Neoadjuvant Chemotherapy (NACT). Annals Of Surgery 2018, 268: 591-601. PMID: 30048319, PMCID: PMC6496955, DOI: 10.1097/sla.0000000000002953.Peer-Reviewed Original ResearchConceptsPathologic complete responseImproved overall survivalNeoadjuvant chemotherapyOverall survivalComplete responseBreast cancerHuman epidermal growth factor receptor 2 (HER2) statusEpidermal growth factor receptor 2 statusCox proportional hazards modelHormone receptorsNode-positive patientsTriple-negative diseaseKaplan-Meier curvesBreast cancer patientsMultivariate logistic regressionProportional hazards modelAnatomic extentCancer patientsReceptor subtypesClinical significanceHazards modelTumor subtypesPatientsBreastLogistic regressionAxillary Nodal Evaluation in Elderly Breast Cancer Patients: Potential Effects on Treatment Decisions and Survival
Tamirisa N, Thomas S, Fayanju O, Greenup R, Rosenberger L, Hyslop T, Hwang E, Plichta J. Axillary Nodal Evaluation in Elderly Breast Cancer Patients: Potential Effects on Treatment Decisions and Survival. Annals Of Surgical Oncology 2018, 25: 2890-2898. PMID: 29968029, PMCID: PMC6404232, DOI: 10.1245/s10434-018-6595-2.Peer-Reviewed Original ResearchConceptsBreast cancer patientsElderly breast cancer patientsCN0 breast cancerOverall survivalNodal surgeryCancer patientsAxillary surgeryElderly patientsTreatment decisionsBreast cancerCharlson-Deyo comorbidity scoreCN0 breast cancer patientsSurgical lymph node evaluationCox proportional hazards modelAdjuvant therapy decisionsAdjuvant therapy receiptAxillary nodal evaluationLymph node evaluationNational Cancer DatabaseYear of diagnosisWorse overall survivalEstrogen receptor statusLong-term outcomesSubsequent treatment decisionsProportional hazards modelThe Effect of Hospital Volume on Breast Cancer Mortality
Greenup R, Obeng-Gyasi S, Thomas S, Houck K, Lane W, Blitzblau R, Hyslop T, Hwang E. The Effect of Hospital Volume on Breast Cancer Mortality. Annals Of Surgery 2018, 267: 375-381. PMID: 27893532, PMCID: PMC5994238, DOI: 10.1097/sla.0000000000002095.Peer-Reviewed Original ResearchConceptsHigh-volume centersNational Cancer Data BaseHospital volumeVolume centersBreast cancerHazard ratioImproved survivalStage 0Case volumeMultivariable Cox proportional hazards modelsMultidisciplinary breast cancer treatmentMultivariable Cox proportional hazardsSurgeons National Cancer Data BaseCox proportional hazards modelAnnual hospital volumeLess common cancersUnilateral breast cancerBreast cancer mortalityBreast cancer patientsCubic spline analysisLog-rank testBreast cancer treatmentCox proportional hazardsProportional hazards modelHigher case volume
2017
The Impact of Autologous Breast Reconstruction on Body Mass Index Patterns in Breast Cancer Patients
Cho E, Shammas R, Glener A, Greenup R, Hwang E, Hollenbeck S. The Impact of Autologous Breast Reconstruction on Body Mass Index Patterns in Breast Cancer Patients. Plastic & Reconstructive Surgery 2017, 140: 1121-1131. PMID: 29176410, DOI: 10.1097/prs.0000000000003841.Peer-Reviewed Original ResearchConceptsBody mass index (BMI) changeAutologous breast reconstructionBody mass index increaseBreast cancer patientsBody mass index (BMI) patternsBreast reconstructionCancer patientsMultivariable regressionNormal baseline body mass indexBaseline body mass indexImmediate autologous breast reconstructionCLINICAL QUESTION/LEVELHigh-risk patientsPropensity-matched pairsBody mass indexRisk of recurrenceWeight management strategiesBaseline obesityAdjuvant therapyTotal patientsMass indexTherapeutic mastectomyMastectomy patientsAutologous reconstructionAuthors' institutionThe epidemiology of metaplastic breast cancer: A review of 2,500 cases from the national cancer database.
Campbell B, Thomas S, Ong C, Greenup R, Plichta J, Rosenberger L, Force J, Hyslop T, Hwang E, Fayanju O. The epidemiology of metaplastic breast cancer: A review of 2,500 cases from the national cancer database. Journal Of Clinical Oncology 2017, 35: 1570-1570. DOI: 10.1200/jco.2017.35.15_suppl.1570.Peer-Reviewed Original ResearchMetaplastic breast cancerNational Cancer DatabaseTriple-negative breast cancerMBC patientsBreast cancerMBC diagnosisReceptor statusCancer DatabaseAcademic centersSociodemographic factorsHigher clinical T stageFemale breast cancer patientsAdult female breast cancer patientsClinical T stageClinical N stageBreast cancer patientsMultivariate logistic regressionPopulation-based analysisCox proportional hazardsGovernment-sponsored insuranceNon-Hispanic blacksLow socioeconomic statusPaucity of dataOverall survivalWorse survivalA population-based analysis of treatment and outcomes in 2,500 metaplastic breast cancer patients.
Ong C, Thomas S, Campbell B, Greenup R, Plichta J, Rosenberger L, Force J, Hyslop T, Hwang E, Fayanju O. A population-based analysis of treatment and outcomes in 2,500 metaplastic breast cancer patients. Journal Of Clinical Oncology 2017, 35: 532-532. DOI: 10.1200/jco.2017.35.15_suppl.532.Peer-Reviewed Original ResearchMetaplastic breast cancerMBC patientsOverall survivalWorse OSHigher clinical T stageMetaplastic breast cancer patientsCox proportional hazards modelNational Cancer DatabaseClinical T stageBreast cancer patientsPopulation-based analysisProportional hazards modelAxillary dissectionTN patientsReceptor statusTN subtypeAggressive variantHigher proportionLuminal subtypeT stageTreatment patternsEntire cohortKaplan-MeierCancer patientsSubgroup analysisImpact of insurance status on treatment for stage 0-IV breast cancer.
Greenup R, Thomas S, Fayanju O, Hyslop T, Hwang E. Impact of insurance status on treatment for stage 0-IV breast cancer. Journal Of Clinical Oncology 2017, 35: 6532-6532. DOI: 10.1200/jco.2017.35.15_suppl.6532.Peer-Reviewed Original ResearchRisk of deathInsurance statusBreast cancerStage 0Private insuranceMultivariate Cox proportional hazards modelStage 1 breast cancerUninsured breast cancer patientsNational Cancer Data BaseCox proportional hazards modelUnilateral stage 0Receipt of chemotherapyReceipt of surgeryStage 4 diseaseReceipt of treatmentBreast cancer patientsProportional hazards modelBinary logistic regressionNeoadjuvant chemotherapyOncologic outcomesOverall survivalBilateral mastectomyMedian ageUninsured womenTreatment patterns
2012
Association of pathologic complete response following neoadjuvant chemotherapy with survival among young women with breast cancer.
Greenup R, Bardia A, Buckley J, Niemierko A, Camp M, Coopey S, Gadd M, Schapira L, Taghian A, Smith B, Specht M. Association of pathologic complete response following neoadjuvant chemotherapy with survival among young women with breast cancer. Journal Of Clinical Oncology 2012, 30: 1122-1122. DOI: 10.1200/jco.2012.30.15_suppl.1122.Peer-Reviewed Original ResearchPathologic complete responseNeoadjuvant chemotherapyOverall survivalBreast cancerComplete responseYoung womenAdjuvant chemotherapyHazard ratioHER-2Stage IYoung breast cancer patientsTriple-negative breast cancerNeo-adjuvant chemotherapyTiming of chemotherapyBreast cancer patientsState tumor registryFinal pathologic reviewDeath certificate dataNegative breast cancerValuable surrogate markerOS ratesPathologic reviewSystemic therapyTumor RegistryDeath Index