2022
Clinical Outcomes and Immune Markers by Race in a Phase I/II Clinical Trial of Durvalumab Concomitant with Neoadjuvant Chemotherapy in Early-Stage TNBC.
Foldi J, Kahn A, Silber A, Qing T, Reisenbichler E, Fischbach N, Persico J, Adelson K, Katoch A, Chagpar A, Park T, Blanchard A, Blenman K, Rimm DL, Pusztai L. Clinical Outcomes and Immune Markers by Race in a Phase I/II Clinical Trial of Durvalumab Concomitant with Neoadjuvant Chemotherapy in Early-Stage TNBC. Clinical Cancer Research 2022, 28: 3720-3728. PMID: 35903931, PMCID: PMC9444984, DOI: 10.1158/1078-0432.ccr-22-0862.Peer-Reviewed Original ResearchConceptsImmune-related adverse eventsTriple-negative breast cancerNon-AA patientsEvent-free survivalPhase I/II clinical trialsClinical trialsNeoadjuvant chemotherapyOverall survivalAA patientsEarly-stage triple-negative breast cancerIncidence of irAEsPathologic complete response rateSignificant associationMultivariate logistic regression analysisTumor-infiltrating lymphocyte countsComplete response ratePrimary efficacy endpointPD-L1 statusProportional hazards modelLogistic regression analysisAfrican American womenEFS ratesNeoadjuvant immunotherapyEfficacy endpointAdverse eventsClinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC.
Foldi J, Kahn A, Silber A, Qing T, Reisenbichler E, Fischbach N, Persico J, Adelson K, Katoch A, Chagpar A, Park T, Blanchard A, Blenman K, Rimm D, Pusztai L. Clinical outcomes and immune markers by race in a phase I/II clinical trial of durvalumab concomitant with neoadjuvant chemotherapy in early-stage TNBC. Journal Of Clinical Oncology 2022, 40: 516-516. DOI: 10.1200/jco.2022.40.16_suppl.516.Peer-Reviewed Original ResearchImmune-related adverse eventsTriple-negative breast cancerMultivariate logistic regression analysisPD-L1 statusLogistic regression analysisAA raceOverall survivalPathologic responseClinical trialsBreast cancerEarly-stage triple-negative breast cancerIncidence of irAEsPhase I/II trialPathologic complete response rateSignificant associationPhase I/II clinical trialsBaseline body mass indexSafety of immunotherapyWeekly nab-paclitaxelCharlson Comorbidity IndexComplete response ratePrimary efficacy endpointPD-L1 expressionBody mass indexBreast cancer recurrence
2021
Copy number aberration analysis to predict response to neoadjuvant anti-HER2 therapy: results from the NeoALTTO phase III clinical trial.
Venet D, Rediti M, Maetens M, Fumagalli D, Brown DN, Majjaj S, Salgado R, Pusztai L, Harbeck N, El-Abed S, Wang Y, Saura C, Gomez H, Semiglazov VF, de Azambuja E, Huober J, Nuciforo P, Di Cosimo S, Piccart M, Loi S, Rothé F, Sotiriou C. Copy number aberration analysis to predict response to neoadjuvant anti-HER2 therapy: results from the NeoALTTO phase III clinical trial. Clinical Cancer Research 2021, 27: clincanres.1317.2021. PMID: 34321278, DOI: 10.1158/1078-0432.ccr-21-1317.Peer-Reviewed Original ResearchConceptsPathologic complete responseNeoALTTO trialCopy number aberrationsBreast cancerHER2-positive early-stage breast cancerEstrogen receptor-positive subgroupNeoadjuvant anti-HER2 therapyEarly-stage breast cancerHER2-positive breast cancerPhase III clinical trialsAnti-HER2 therapyAnti-HER2 agentsPredictors of responseReceptor-positive subgroupNumber aberration analysisCopy number levelsWarrants further investigationHeterogeneity of responseComplete responseSurvival outcomesWhole cohortClinical trialsImmune processesPatientsSignificant association
2012
Assessment of method of breast cancer detection and Onco type DX recurrence score.
Kelly C, Parker I, McCaffrey J, Crown J, O'Connor M, McGee S, Pusztai L, Kelly C. Assessment of method of breast cancer detection and Onco type DX recurrence score. Journal Of Clinical Oncology 2012, 30: 581-581. DOI: 10.1200/jco.2012.30.15_suppl.581.Peer-Reviewed Original ResearchRecurrence scoreClinicopathological variablesBreast cancerLymph nodesHER-2 negative breast cancerSignificant associationHER2-negative breast cancerFavorable pathological characteristicsTraditional clinicopathological variablesScreen-detected cancersNumber of patientsDX recurrence scoreNegative breast cancerMethod of detectionOncotypeDX recurrence scoreLymphovascular invasionBetter prognosisInterval cancersPatient chartsRoutine careTumor sizePathological characteristicsPrognostic informationTumor gradeClinical trials
2011
Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer
Gonzalez-Angulo AM, Hennessy BT, Meric-Bernstam F, Sahin A, Liu W, Ju Z, Carey MS, Myhre S, Speers C, Deng L, Broaddus R, Lluch A, Aparicio S, Brown P, Pusztai L, Symmans WF, Alsner J, Overgaard J, Borresen-Dale AL, Hortobagyi GN, Coombes KR, Mills GB. Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer. Clinical Proteomics 2011, 8: 11. PMID: 21906370, PMCID: PMC3170272, DOI: 10.1186/1559-0275-8-11.Peer-Reviewed Original ResearchRecurrence-free survivalPathological complete responseBreast cancerComplete responseBiomarker panelDifferent recurrence-free survivalPathologic complete responseCohort of patientsPrimary breast cancerManagement of patientsBreast cancer subgroupsSurgical excision specimensProbability of recurrenceNeoadjuvant taxaneSystemic therapyPrognostic scorePrognostic groupsPrognosis scoreOrdinal logistic regressionCancer subgroupsExcision specimensPatientsFNA biopsySignificant associationPhase protein array