2023
Thymidine kinase activity levels in serum can identify HR+ metastatic breast cancer patients with a low risk of early progression (SWOG S0226)
Bergqvist M, Nordmark A, Williams A, Paoletti C, Barlow W, Cobain E, Mehta R, Gralow J, Hortobagyi G, Albain K, Pusztai L, Sharma P, Godwin A, Thompson A, Hayes D, Rae J. Thymidine kinase activity levels in serum can identify HR+ metastatic breast cancer patients with a low risk of early progression (SWOG S0226). Biomarkers 2023, 28: 313-322. PMID: 36647745, PMCID: PMC10681159, DOI: 10.1080/1354750x.2023.2168063.Peer-Reviewed Original ResearchConceptsMetastatic breast cancerNegative predictive valueEndocrine therapyThymidine kinase activityLower riskSingle-agent endocrine therapyMetastatic breast cancer patientsLonger progression-free survivalHigh negative predictive valueProgression-free survivalBreast cancer patientsSerum thymidine kinase activityAdditional therapyOverall survivalSuch patientsCancer patientsBlood drawEarly progressionDisease progressionRapid progressionBreast cancerPatientsSubsequent timepointsPredictive valuePotential biomarkers
2020
Validation of an immunomodulatory gene signature algorithm to predict response to neoadjuvant immunochemotherapy in patients with primary triple-negative breast cancer.
Iwase T, Pusztai L, Blenman K, Li X, Seitz R, Nielsen T, Schweitzer B, Hout D, Bailey D, Zhang X, Shen Y, Ueno N. Validation of an immunomodulatory gene signature algorithm to predict response to neoadjuvant immunochemotherapy in patients with primary triple-negative breast cancer. Journal Of Clinical Oncology 2020, 38: 3117-3117. DOI: 10.1200/jco.2020.38.15_suppl.3117.Peer-Reviewed Original ResearchPrimary triple-negative breast cancerTriple-negative breast cancerPathological complete responsePD-L1 IHCIM subtypesPredictive valueNeoadjuvant immunochemotherapyBreast cancerPhase I/II trialPretreatment core-needle biopsiesAntigen-presenting immune cellsPossible predictive markerImmune cell populationsImmune cell processesCore needle biopsyNegative predictive valuePositive predictive valueStrong predictive valuePositive likelihood ratioNegative likelihood ratioImmunomodulatory subtypeNeoadjuvant immunotherapyII trialLikelihood ratioComplete response
2012
19IN 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
2011
Multifactorial Approach to Predicting Resistance to Anthracyclines
Desmedt C, Di Leo A, de Azambuja E, Larsimont D, Haibe-Kains B, Selleslags J, Delaloge S, Duhem C, Kains JP, Carly B, Maerevoet M, Vindevoghel A, Rouas G, Lallemand F, Durbecq V, Cardoso F, Salgado R, Rovere R, Bontempi G, Michiels S, Buyse M, Nogaret JM, Qi Y, Symmans F, Pusztai L, D'Hondt V, Piccart-Gebhart M, Sotiriou C. Multifactorial Approach to Predicting Resistance to Anthracyclines. Journal Of Clinical Oncology 2011, 29: 1578-1586. PMID: 21422418, DOI: 10.1200/jco.2010.31.2231.Peer-Reviewed Original ResearchMeSH KeywordsAntibiotics, AntineoplasticAntigens, NeoplasmBiomarkers, TumorBiopsyBreast NeoplasmsChemotherapy, AdjuvantDNA Topoisomerases, Type IIDNA-Binding ProteinsDrug Resistance, NeoplasmEpirubicinEuropeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoadjuvant TherapyOdds RatioPatient SelectionPoly-ADP-Ribose Binding ProteinsPredictive Value of TestsProspective StudiesReceptor, ErbB-2Receptors, EstrogenReproducibility of ResultsRisk AssessmentRisk FactorsTexasTreatment FailureConceptsPathologic complete responseHuman epidermal growth factor receptor 2Neoadjuvant trialsTOP trialPredictive valueEstrogen receptor-negative tumorsEpidermal growth factor receptor 2High negative predictive valuePrimary end pointGrowth factor receptor 2Receptor-negative tumorsResponse/resistanceFactor receptor 2Negative predictive valueUseful clinical toolER-negative samplesA scoresAnthracycline monotherapyEvaluable patientsGene expression signaturesComplete responseBreast cancerImmune responseReceptor 2Patients
2010
Evaluation of a 30-Gene Paclitaxel, Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy Response Predictor in a Multicenter Randomized Trial in Breast Cancer
Tabchy A, Valero V, Vidaurre T, Lluch A, Gomez H, Martin M, Qi Y, Barajas-Figueroa LJ, Souchon E, Coutant C, Doimi FD, Ibrahim NK, Gong Y, Hortobagyi GN, Hess KR, Symmans WF, Pusztai L. Evaluation of a 30-Gene Paclitaxel, Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy Response Predictor in a Multicenter Randomized Trial in Breast Cancer. Clinical Cancer Research 2010, 16: 5351-5361. PMID: 20829329, PMCID: PMC4181852, DOI: 10.1158/1078-0432.ccr-10-1265.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, PharmacologicalBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCyclophosphamideDoxorubicinFemaleFluorouracilGene Expression Regulation, NeoplasticHumansMiddle AgedPaclitaxelPredictive Value of TestsPrognosisTreatment OutcomeConceptsPositive predictive valuePathologic complete responseFAC armPCR rateBreast cancerPredictive valueGene expression profilingDifferent molecular subsetsFine-needle aspiration biopsyMulticenter Randomized TrialInternational clinical trialsGenomic predictorsNegative predictive valueTreatment response predictionWeekly paclitaxelNeoadjuvant chemotherapyCyclophosphamide chemotherapyFAC chemotherapyPreoperative chemotherapyComplete responseRandomized trialsTreatment armsPredictive markerClinical trialsMolecular subsets
2006
Pharmacogenomic Predictor of Sensitivity to Preoperative Chemotherapy With Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer
Hess KR, Anderson K, Symmans WF, Valero V, Ibrahim N, Mejia JA, Booser D, Theriault RL, Buzdar AU, Dempsey PJ, Rouzier R, Sneige N, Ross JS, Vidaurre T, Gómez HL, Hortobagyi GN, Pusztai L. Pharmacogenomic Predictor of Sensitivity to Preoperative Chemotherapy With Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer. Journal Of Clinical Oncology 2006, 24: 4236-4244. PMID: 16896004, DOI: 10.1200/jco.2006.05.6861.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCyclophosphamideDoxorubicinFemaleFluorouracilGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroarray AnalysisMiddle AgedNeoplasm StagingOligonucleotidesPaclitaxelPredictive Value of TestsReproducibility of ResultsROC CurveSensitivity and Specificity
2004
Gene Expression Profiles Predict Complete Pathologic Response to Neoadjuvant Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy in Breast Cancer
Ayers M, Symmans W, Stec J, Damokosh A, Clark E, Hess K, Lecocke M, Metivier J, Booser D, Ibrahim N, Valero V, Royce M, Arun B, Whitman G, Ross J, Sneige N, Hortobagyi G, Pusztai L. Gene Expression Profiles Predict Complete Pathologic Response to Neoadjuvant Paclitaxel and Fluorouracil, Doxorubicin, and Cyclophosphamide Chemotherapy in Breast Cancer. Journal Of Clinical Oncology 2004, 22: 2284-2293. PMID: 15136595, DOI: 10.1200/jco.2004.05.166.Peer-Reviewed Original ResearchConceptsPathologic complete responseBreast cancerNeoadjuvant therapyClinical resultsPredictive valueCompletion of chemotherapySequential weekly paclitaxelComplete pathologic responseNeoadjuvant chemotherapy regimenPercent of patientsPatients' clinical resultsExpected response rateFine-needle aspirationNegative predictive valuePositive predictive valueNeoadjuvant paclitaxelChemotherapy regimenWeekly paclitaxelCyclophosphamide chemotherapyUnselected patientsComplete responsePathologic responseInvasive cancerResponse ratePatients