2022
Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies
Wolf DM, Yau C, Wulfkuhle J, Brown-Swigart L, Gallagher RI, Lee PRE, Zhu Z, Magbanua MJ, Sayaman R, O’Grady N, Basu A, Delson A, Coppé JP, Lu R, Braun J, Investigators I, Asare SM, Sit L, Matthews JB, Perlmutter J, Hylton N, Liu MC, Pohlmann P, Symmans WF, Rugo HS, Isaacs C, DeMichele AM, Yee D, Berry DA, Pusztai L, Petricoin EF, Hirst GL, Esserman LJ, van 't Veer LJ. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies. Cancer Cell 2022, 40: 609-623.e6. PMID: 35623341, PMCID: PMC9426306, DOI: 10.1016/j.ccell.2022.05.005.Peer-Reviewed Original ResearchConceptsBreast cancer subtypesHormone receptorsHuman epidermal growth factor receptor 2 (HER2) statusCancer subtypesEpidermal growth factor receptor 2 statusPathologic complete response rateTreatment prioritizationComplete response ratePatient selectionPredictive biomarkersTreatment allocationPlatform trialsClinical dataLuminal phenotypeTreatment selectionResponse rateTumor biologyNew treatmentsDrug responseSubtypesCancer therapyBiomarkersProtein/phosphoproteinGene expressionDiverse biology
2020
Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer
Reisenbichler ES, Han G, Bellizzi A, Bossuyt V, Brock J, Cole K, Fadare O, Hameed O, Hanley K, Harrison BT, Kuba MG, Ly A, Miller D, Podoll M, Roden AC, Singh K, Sanders MA, Wei S, Wen H, Pelekanou V, Yaghoobi V, Ahmed F, Pusztai L, Rimm DL. Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer. Modern Pathology 2020, 33: 1746-1752. PMID: 32300181, PMCID: PMC8366569, DOI: 10.1038/s41379-020-0544-x.Peer-Reviewed Original ResearchConceptsTriple-negative breast cancerNegative breast cancerOverall percent agreementPD-L1Intraclass correlation coefficientBreast cancerAdvanced triple-negative breast cancerPD-L1 positive casesImmune cell stainingMultiple pathologistsPD-L1 scoringMulti-institutional evaluationLung cancer studiesAtezolizumab therapySP142 assaySP263 assaysPatient selectionSP263SP142US FoodDrug AdministrationPathologist's assessmentPositive casesReal-world settingPercent agreement
2017
Association of LN Evaluation with Survival in Women Aged 70 Years or Older With Clinically Node-Negative Hormone Receptor Positive Breast Cancer
Chagpar AB, Hatzis C, Pusztai L, DiGiovanna MP, Moran M, Mougalian S, Sanft T, Evans S, Hofstatter E, Wilson LD, Lannin DR. Association of LN Evaluation with Survival in Women Aged 70 Years or Older With Clinically Node-Negative Hormone Receptor Positive Breast Cancer. Annals Of Surgical Oncology 2017, 24: 3073-3081. PMID: 28766195, DOI: 10.1245/s10434-017-5936-x.Peer-Reviewed Original ResearchConceptsBreast cancer-specific survivalLN evaluationPositive breast cancerOverall survivalBreast cancerHormone receptor-positive breast cancerWomen Aged 70 YearsReceptor-positive breast cancerLymph node evaluationCancer-specific survivalLower hazard rateLN surgeryBetter OSPatient ageSEER databasePatient selectionTumor characteristicsSEER dataPatientsNode evaluationHormone receptorsCancerSurvivalTreatment variablesNCDB
2010
Use of standard markers and incorporation of molecular markers into breast cancer therapy
Kaufmann M, Pusztai L, Members T. Use of standard markers and incorporation of molecular markers into breast cancer therapy. Cancer 2010, 117: 1575-1582. PMID: 21472705, DOI: 10.1002/cncr.25660.Peer-Reviewed Original ResearchConceptsFuture clinical trialsClinical trialsBreast cancerRoutine pathological evaluationBreast cancer managementCancer Research GroupBreast cancer therapyRoutine clinical decisionImportant therapeutic targetPredictive gene signaturesPathological evaluationPatient selectionConsensus recommendationsCancer managementHeterogeneous diseaseTherapeutic targetPredictive valueBreast pathologyClinical decisionDifferent subtypesGene signatureGenomic profilingClinical levelNew molecular markersOutcome predictionDevelopment of Candidate Genomic Markers to Select Breast Cancer Patients for Dasatinib Therapy
Moulder S, Yan K, Huang F, Hess KR, Liedtke C, Lin F, Hatzis C, Hortobagyi GN, Symmans WF, Pusztai L. Development of Candidate Genomic Markers to Select Breast Cancer Patients for Dasatinib Therapy. Molecular Cancer Therapeutics 2010, 9: 1120-1127. PMID: 20423993, DOI: 10.1158/1535-7163.mct-09-1117.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsBiomarkers, PharmacologicalBiomarkers, TumorBreast NeoplasmsCarcinomaCell Line, TumorDasatinibDrug Resistance, NeoplasmFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Association StudiesGenome, HumanHumansMatched-Pair AnalysisOligonucleotide Array Sequence AnalysisPatient SelectionPrognosisPyrimidinesThiazolesConceptsClinical trialsCell linesPhase I/II trialIndependent breast cancer cell linesEarly phase clinical trialsDasatinib-resistant cellsPrimary breast cancerBreast cancer patientsDasatinib-resistant cell linesDifferent patient subsetsBreast cancer cell linesGenomic predictorsCancer cell linesDasatinib therapyDifferent potential predictorsII trialPatient subsetsPatient selectionCancer patientsBreast cancerDasatinib sensitivityMammary epithelial cellsDasatinib responseActivity indexPatient samples
2007
Identification of predictive markers to differentiate ixabepilone from paclitaxel activity in ER-negative breast cancer patients
Wu S, Chasalow S, Lee H, Xu L, Paul B, Mokliatchouk O, Symmans W, Zerba K, Pusztai L, Clark E. Identification of predictive markers to differentiate ixabepilone from paclitaxel activity in ER-negative breast cancer patients. Journal Of Clinical Oncology 2007, 25: 2525-2525. DOI: 10.1200/jco.2007.25.18_suppl.2525.Peer-Reviewed Original ResearchBreast cancer patientsER patientsCancer patientsPredictive markerClinical trialsPaclitaxel activityER-negative breast cancer patientsComplete pathological responseER-negative patientsTaxane-containing regimensTaxane-containing therapyExpression levelsIxabepilone treatmentPatient selectionBC patientsPathological responseIxabepilonePatientsTherapeutic valueProtein 3SiRNA studiesDifferential markersROC curveTrialsCandidate markers
2006
Heterogeneity of Breast Cancer among Patients and Implications for Patient Selection for Adjuvant Chemotherapy
Andre F, Pusztai L. Heterogeneity of Breast Cancer among Patients and Implications for Patient Selection for Adjuvant Chemotherapy. Pharmaceutical Research 2006, 23: 1951-1958. PMID: 16906452, DOI: 10.1007/s11095-006-9075-5.Peer-Reviewed Original ResearchConceptsAdjuvant chemotherapyBreast cancerPredictive valuePatient selectionSuch therapySingle biomarkerHeterogeneity of cancerChemotherapyPatientsCancerDaily practiceBiomarkersAbsolute effectLarge-scale genomic analysisFunctional pathwaysDistinct subclassesLarge populationHomogeneous subclassesTherapy