2022
Prognostic implications of mono-hit and multi-hit TP53 alterations in patients with acute myeloid leukemia and higher risk myelodysplastic syndromes treated with azacitidine-based therapy
Zeidan A, Bewersdorf J, Hasle V, Shallis R, Thompson E, de Menezes D, Rose S, Boss I, Halene S, Haferlach T, Fox B. Prognostic implications of mono-hit and multi-hit TP53 alterations in patients with acute myeloid leukemia and higher risk myelodysplastic syndromes treated with azacitidine-based therapy. Leukemia 2022, 37: 240-243. PMID: 36437356, DOI: 10.1038/s41375-022-01766-z.Peer-Reviewed Original ResearchA Multi-Center Phase Ib Trial of the Histone Deactylase Inhibitor (HDACi) Entinostat in Combination with Anti-PD1 Antibody Pembrolizumab in Patients with Refractory/Relapsed Myelodysplastic Syndromes (RR-MDS) or Oligoblastic Acute Myeloid Leukemia (RR-AML) after Hypomethylating Agent (HMA) Failure
Bewersdorf J, Shallis R, Sharon E, Caldwell A, Wei W, Yacoub A, Madanat Y, Zeidner J, Altman J, Odenike O, Yerrabothala S, Kovacsovics T, Podoltsev N, Halene S, Little R, Piekarz R, Gore S, Kim T, Zeidan A. A Multi-Center Phase Ib Trial of the Histone Deactylase Inhibitor (HDACi) Entinostat in Combination with Anti-PD1 Antibody Pembrolizumab in Patients with Refractory/Relapsed Myelodysplastic Syndromes (RR-MDS) or Oligoblastic Acute Myeloid Leukemia (RR-AML) after Hypomethylating Agent (HMA) Failure. Blood 2022, 140: 9084-9086. DOI: 10.1182/blood-2022-158626.Peer-Reviewed Original ResearchInternational Working Group (IWG) Response Criteria and Association with Overall Survival in Patients with Myelodysplastic Syndromes Treated with Hypomethylating Agents - a Systematic Review and Meta-Analysis
Bewersdorf J, Grimshaw A, Platzbecker U, Fenaux P, Sekeres M, Zeidan A, Stahl M. International Working Group (IWG) Response Criteria and Association with Overall Survival in Patients with Myelodysplastic Syndromes Treated with Hypomethylating Agents - a Systematic Review and Meta-Analysis. Blood 2022, 140: 9811-9812. DOI: 10.1182/blood-2022-158622.Peer-Reviewed Original Research
2020
Management of higher risk myelodysplastic syndromes after hypomethylating agents failure: are we about to exit the black hole?
Bewersdorf JP, Zeidan AM. Management of higher risk myelodysplastic syndromes after hypomethylating agents failure: are we about to exit the black hole? Expert Review Of Hematology 2020, 13: 1131-1142. PMID: 32876498, DOI: 10.1080/17474086.2020.1819233.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsBiomarkersCombined Modality TherapyDisease ManagementDisease SusceptibilityDNA MethylationDrug DevelopmentDrug Resistance, NeoplasmHumansMolecular Targeted TherapyMutationMyelodysplastic SyndromesPrognosisRemission InductionRetreatmentTreatment FailureTreatment OutcomeConceptsHigh-risk myelodysplastic syndromeHMA failureMyelodysplastic syndromeHR-MDS patientsRisk myelodysplastic syndromesMainstay of treatmentImmune pathogenesisMost patientsComplete responseImmune therapyAbysmal prognosisNovel agentsTherapeutic approachesTherapeutic conceptsImmune evasionTreatment approachesPatientsGenetic testingSyndromePathogenesisTreatmentMolecular mechanismsRecent studiesFailureAnnual MeetingPrognostic Models in Myelodysplastic Syndromes
Bewersdorf J, Zeidan A. Prognostic Models in Myelodysplastic Syndromes. 2020, 109-127. DOI: 10.1007/978-3-030-51878-3_7.Peer-Reviewed Original ResearchInternational Prognostic Scoring SystemRisk stratification toolMyelodysplastic syndromeScoring systemStratification toolPrognostic scoring systemClinical trial enrollmentTrial enrollmentPrognostic relevanceDisease characteristicsPatient counselingBody of evidenceTreatment recommendationsPatient subpopulationsIndividual patientsTreatment selectionClinical scenariosPrognostic modelGenetic testingSomatic mutationsSyndromeScoresPatientsPrognosticationGood but not good enough: Clinical trial participation of patients with myelodysplastic syndromes
Bewersdorf JP, Zeidan AM. Good but not good enough: Clinical trial participation of patients with myelodysplastic syndromes. Cancer 2020, 126: 4664-4667. PMID: 32767670, DOI: 10.1002/cncr.33106.Peer-Reviewed Original ResearchWide variation in use and interpretation of gene mutation profiling panels among health care providers of patients with myelodysplastic syndromes: results of a large web-based survey
Pine AB, Chokr N, Stahl M, Steensma DP, Sekeres MA, Litzow MR, Luger SM, Stone RM, Greenberg PL, Bejar R, Bewersdorf JP, Gore SD, Zeidan AM. Wide variation in use and interpretation of gene mutation profiling panels among health care providers of patients with myelodysplastic syndromes: results of a large web-based survey. Leukemia & Lymphoma 2020, 61: 1455-1464. PMID: 32026740, DOI: 10.1080/10428194.2020.1723013.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromeRisk stratificationMolecular profilingNext-generation sequencingWeb-based surveyRole of NGSManagement of patientsUtility of NGSEvidence-based guidelinesHealth care providersLarge web-based surveyMDS patientsPractice patternsTreatment decisionsCare providersResponse assessmentProviders' beliefsPatientsInstitutional guidelinesGene mutationsDiagnosisSyndromeTesting logisticsInterpretation of resultsWide variation
2019
Association of provider experience and clinical outcomes in patients with myelodysplastic syndromes receiving hypomethylating agents
Zeidan AM, Hu X, Zhu W, Stahl M, Wang R, Huntington SF, Giri S, Bewersdorf JP, Podoltsev NA, Gore SD, Ma X, Davidoff AJ. Association of provider experience and clinical outcomes in patients with myelodysplastic syndromes receiving hypomethylating agents. Leukemia & Lymphoma 2019, 61: 397-408. PMID: 31570040, PMCID: PMC7732188, DOI: 10.1080/10428194.2019.1663423.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromeOverall survivalHMA cyclesHMA therapyProvider experienceCox proportional hazards modelOlder MDS patientsMedian overall survivalPercent of patientsSEER-Medicare dataMultivariate logistic regressionProportional hazards modelHMA initiationClinical outcomesMDS patientsClinical trialsMedian numberHMA treatmentHazards modelPatientsSignificant associationLogistic regressionPopulation-level survivalSurvivalSyndrome