2023
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer
Page D, Broeckx G, Jahangir C, Verbandt S, Gupta R, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Haab G, Acs B, Akturk G, Almeida J, Alvarado‐Cabrero I, Azmoudeh‐Ardalan F, Badve S, Baharun N, Bellolio E, Bheemaraju V, Blenman K, Fujimoto L, Bouchmaa N, Burgues O, Cheang M, Ciompi F, Cooper L, Coosemans A, Corredor G, Portela F, Deman F, Demaria S, Dudgeon S, Elghazawy M, Ely S, Fernandez‐Martín C, Fineberg S, Fox S, Gallagher W, Giltnane J, Gnjatic S, Gonzalez‐Ericsson P, Grigoriadis A, Halama N, Hanna M, Harbhajanka A, Hardas A, Hart S, Hartman J, Hewitt S, Hida A, Horlings H, Husain Z, Hytopoulos E, Irshad S, Janssen E, Kahila M, Kataoka T, Kawaguchi K, Kharidehal D, Khramtsov A, Kiraz U, Kirtani P, Kodach L, Korski K, Kovács A, Laenkholm A, Lang‐Schwarz C, Larsimont D, Lennerz J, Lerousseau M, Li X, Ly A, Madabhushi A, Maley S, Narasimhamurthy V, Marks D, McDonald E, Mehrotra R, Michiels S, Minhas F, Mittal S, Moore D, Mushtaq S, Nighat H, Papathomas T, Penault‐Llorca F, Perera R, Pinard C, Pinto‐Cardenas J, Pruneri G, Pusztai L, Rahman A, Rajpoot N, Rapoport B, Rau T, Reis‐Filho J, Ribeiro J, Rimm D, Vincent‐Salomon A, Salto‐Tellez M, Saltz J, Sayed S, Siziopikou K, Sotiriou C, Stenzinger A, Sughayer M, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson E, Tramm T, Tran W, van der Laak J, van Diest P, Verghese G, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen H, Yang W, Yuan Y, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, Stovgaard E. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast Cancer. The Journal Of Pathology 2023, 260: 514-532. PMID: 37608771, PMCID: PMC11288334, DOI: 10.1002/path.6165.Peer-Reviewed Original Research
2022
Impact of Circulating Tumor DNA–Based Detection of Molecular Residual Disease on the Conduct and Design of Clinical Trials for Solid Tumors
Kasi PM, Fehringer G, Taniguchi H, Starling N, Nakamura Y, Kotani D, Powles T, Li BT, Pusztai L, Aushev VN, Kalashnikova E, Sharma S, Malhotra M, Demko ZP, Aleshin A, Rodriguez A, Billings PR, Grothey A, Taieb J, Cunningham D, Yoshino T, Kopetz S. Impact of Circulating Tumor DNA–Based Detection of Molecular Residual Disease on the Conduct and Design of Clinical Trials for Solid Tumors. JCO Precision Oncology 2022, 6: e2100181. PMID: 35263168, PMCID: PMC8926064, DOI: 10.1200/po.21.00181.Peer-Reviewed Original ResearchConceptsMolecular residual diseaseSurrogate end pointsCtDNA testingMRD detectionResidual diseaseClinical trialsCancer recurrenceTumor DNAEnd pointMRD-positive patientsUse of ctDNAHigh-risk categoryCtDNA dynamicsTrial enrichmentAccelerated approvalDifferent cancer typesCancer managementClinical utilityHigh riskClinical practiceSmall cohortSolid tumorsRecurrenceTrial durationTreatment assignment
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 use
2012
A Systematic Evaluation of Multi-Gene Predictors for the Pathological Response of Breast Cancer Patients to Chemotherapy
Shen K, Song N, Kim Y, Tian C, Rice SD, Gabrin MJ, Symmans WF, Pusztai L, Lee JK. A Systematic Evaluation of Multi-Gene Predictors for the Pathological Response of Breast Cancer Patients to Chemotherapy. PLOS ONE 2012, 7: e49529. PMID: 23185353, PMCID: PMC3504014, DOI: 10.1371/journal.pone.0049529.Peer-Reviewed Original ResearchConceptsMulti-gene predictorsPatients' clinical outcomesClinical outcomesCancer patientsTherapeutic responseStandard combination chemotherapyBreast cancer patientsClinical outcome measurementsPatient's therapeutic responseBreast cancer cell linesCancer cell linesNegative patientsCombination chemotherapyPatient cohortPathological responseBreast cancerEstrogen receptorClinical utilityOutcome measurementsChemotherapyPatientsCell linesOutcomesPredictorsCOXEN19IN Does Molecular Triage Help to Identify Highly Sensitive Disease?
Pusztai L. 19IN Does Molecular Triage Help to Identify Highly Sensitive Disease? Annals Of Oncology 2012, 23: ix29. DOI: 10.1016/s0923-7534(20)32633-8.Peer-Reviewed Original ResearchResponse markersPredictive valueEstrogen receptor expressionHigher tumor proliferationTreatment response markersClass of drugsNegative predictive valuePositive predictive valueDriver eventsAdjuvant therapyPredictive biomarkersPredictive markerTreatment modalitiesTriage patientsVariety of agentsBaseline prognosisClinical trialsReceptor expressionBreast cancerSensitive diseaseHuman epidermal growth factorClinical utilityEpidermal growth factorChemotherapy sensitivityTumor proliferation
2007
Limitations of pharmacogenomic predictor discovery in Phase II clinical trials
Pusztai L. Limitations of pharmacogenomic predictor discovery in Phase II clinical trials. Pharmacogenomics 2007, 8: 1443-1448. PMID: 17979517, DOI: 10.2217/14622416.8.10.1443.Peer-Reviewed Original Research
2004
Individualized chemotherapy treatment for breast cancer: is it necessary? Is it feasible?
Pusztai L, Rouzier R, Wagner P, Symmans WF. Individualized chemotherapy treatment for breast cancer: is it necessary? Is it feasible? Drug Resistance Updates 2004, 7: 325-331. PMID: 15790543, DOI: 10.1016/j.drup.2004.10.002.Peer-Reviewed Original ResearchConceptsChemotherapy regimensChemotherapy treatmentPatient outcomesBreast cancerClinical utilitySmall exploratory studyIndividualized selectionClinical pharmacogenomicsPredictive testUseful predictorCancerMolecular characteristicsMarker researchTranscriptional profilingRegimensValidation trialsChemotherapyTrials
2003
Clinical Application of cDNA Microarrays in Oncology
Pusztai L, Ayers M, Stec J, Hortobágyi GN. Clinical Application of cDNA Microarrays in Oncology. The Oncologist 2003, 8: 252-258. PMID: 12773747, DOI: 10.1634/theoncologist.8-3-252.Peer-Reviewed Original ResearchConceptsHundreds of genesGene expression patternsSingle-gene markersIndividual genesTranscriptional profilingCDNA microarrayMRNA speciesDNA microarraysExpression patternsComplex biologyNovel targetImportant new toolMicroarrayClinical outcomesGenesHuman tissuesImportant clinical outcomesDiseased tissuesDrug developmentTrue clinical utilityClinical utilityClinical OncologyNew toolBiologyExciting new technology