2024
Clonal cytopenia of undetermined significance: definitions, risk and therapeutic targets
Taborda C, Zeidan A, Mendez L. Clonal cytopenia of undetermined significance: definitions, risk and therapeutic targets. Frontiers In Hematology 2024, 3: 1419323. DOI: 10.3389/frhem.2024.1419323.Peer-Reviewed Original ResearchClonal hematopoiesis of indeterminate potentialClonal hematopoiesisClonal cytopeniaSomatic genetic alterationsTherapeutic targetStem/progenitor cell populationsRisk stratification toolBlood of individualsMyeloid malignanciesMyeloid neoplasmsHematologic malignanciesPotential therapeutic targetIndeterminate potentialRisk stratificationBlood countGenetic alterationsStratification toolClinical investigationNatural historyCell populationsCytopeniasMalignancyBloodRiskCytopenia(s
2023
Validation of the Molecular International Prognostic Scoring System (IPSS-M) in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Who Underwent Allogenic Stem Cell Transplantation (HSCT)
Kewan T, Bewersdorf J, Blaha O, Stahl M, Al Ali N, DeZern A, Sekeres M, Uy G, Carraway H, Desai P, Griffiths E, Stein E, Brunner A, Amaya M, Zeidner J, Savona M, Stempel J, Chandhok N, Logothetis C, Cochran H, Rose A, Roboz G, Wang E, Rolles B, Harris A, Shallis R, Xie Z, Padron E, Maciejewski J, Sallman D, Della Porta M, Komrokji R, Zeidan A. Validation of the Molecular International Prognostic Scoring System (IPSS-M) in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Who Underwent Allogenic Stem Cell Transplantation (HSCT). Blood 2023, 142: 4980. DOI: 10.1182/blood-2023-186578.Peer-Reviewed Original ResearchOverall survivalHigh-risk groupUnderwent HSCTC-indexRisk groupsHigh riskDonor typeInternational Prognostic Scoring SystemAllogenic stem cell transplantationTime of HSCTMedian overall survivalReduced-intensity conditioningSignificant OS differencePrognostic scoring systemRisk stratification toolTime of diagnosisStem cell transplantationSingle-institution analysisLog-rank testHarrell's C-indexDifferent overall survivalCox proportional hazardsHMA cyclesHaploidentical donorsMaintenance therapyNovel Approaches and Future Directions in Myelodysplastic Syndrome Treatment
Bewersdorf J, Xie Z, Zeidan A. Novel Approaches and Future Directions in Myelodysplastic Syndrome Treatment. The Cancer Journal 2023, 29: 195-202. PMID: 37195776, DOI: 10.1097/ppo.0000000000000658.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHigh-risk MDS patientsInternational Prognostic Scoring SystemPhase III clinical trialsErythropoiesis-stimulating agentsPrognostic scoring systemRisk stratification toolAdvanced clinical testingStandard of careAcute myeloid leukemiaTelomerase inhibitor imetelstatEncouraging early resultsMyelodysplastic Syndromes TreatmentAnemic patientsAgent monotherapyMDS patientsStratification toolSyndrome treatmentCombination therapyDysplastic changesClinical trialsMyeloid leukemiaTreatment decisionsClonal disorderTreatment selectionClinical testing
2020
Prognostic 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 mutationsSyndromeScoresPatientsPrognostication
2018
Wide Variation in Use and Interpretation of Gene Mutation Profiling Panels Among Health Care Providers of Patients with Myelodysplastic Syndromes (MDS): Results of a Large Web-Based Survey
Pine A, Chokr N, Stahl M, Steensma D, Sekeres M, Litzow M, Luger S, Stone R, Greenberg P, Bejar R, Gore S, Zeidan A. Wide Variation in Use and Interpretation of Gene Mutation Profiling Panels Among Health Care Providers of Patients with Myelodysplastic Syndromes (MDS): Results of a Large Web-Based Survey. Blood 2018, 132: 1825. DOI: 10.1182/blood-2018-99-113888.Peer-Reviewed Original ResearchGene mutation profilingSouthwest Oncology GroupMyelodysplastic syndromeRisk stratificationHealth care providersMutation profilingOncology GroupMDS patientsClinical trialsCare providersWeb-based surveyConsensus evidence-based guidelinesInternational Prognostic Scoring SystemEastern Cooperative Oncology GroupGene panelAdvisory CommitteeConventional prognostic modelsThird of respondersHigh-risk patientsCooperative Oncology GroupPrognostic scoring systemRisk stratification toolManagement of patientsStem cell transplantEvidence-based guidelines
2017
Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium
Zeidan AM, Al Ali N, Barnard J, Padron E, Lancet JE, Sekeres MA, Steensma DP, DeZern A, Roboz G, Jabbour E, Garcia-Manero G, List A, Komrokji R. Comparison of clinical outcomes and prognostic utility of risk stratification tools in patients with therapy-related vs de novo myelodysplastic syndromes: a report on behalf of the MDS Clinical Research Consortium. Leukemia 2017, 31: 1391-1397. PMID: 28111463, DOI: 10.1038/leu.2017.33.Peer-Reviewed Original ResearchConceptsInternational Prognostic Scoring SystemT-MDS patientsDe novo myelodysplastic syndromePrognostic scoring systemNovo myelodysplastic syndromeMyelodysplastic syndromeT-MDSClinical outcomesScoring systemMDS Clinical Research ConsortiumClinical Research ConsortiumRisk stratification toolRisk group categoriesRisk stratification modelConventional risk stratification modelPrognostic systemPrior therapyMedian survivalIndolent courseInferior survivalMDS patientsPrognostic utilityStratification toolWorse outcomesPatients
2015
Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides
Zeidan AM, Sekeres MA, Garcia-Manero G, Steensma DP, Zell K, Barnard J, Ali NA, Zimmerman C, Roboz G, DeZern A, Nazha A, Jabbour E, Kantarjian H, Gore SD, Maciejewski JP, List A, Komrokji R. Comparison of risk stratification tools in predicting outcomes of patients with higher-risk myelodysplastic syndromes treated with azanucleosides. Leukemia 2015, 30: 649-657. PMID: 26464171, PMCID: PMC4775363, DOI: 10.1038/leu.2015.283.Peer-Reviewed Original ResearchConceptsInternational Prognostic Scoring SystemPrognostic scoring systemMD Anderson Prognostic Scoring SystemMyelodysplastic syndromePrognostic toolScoring systemDifferent prognostic scoring systemsHigh-risk myelodysplastic syndromeRelative prognostic performanceOutcomes of patientsFirst-line therapyRisk stratification toolHigh-risk groupWorld Health OrganizationHR-MDSMedian OSObjective responseOverall survivalStandard therapyPrognostic utilityStratification toolPatient cohortPrognostic performancePatientsHealth OrganizationMolecular Testing in Myelodysplastic Syndromes for the Practicing Oncologist: Will the Progress Fulfill the Promise?
Nazha A, Sekeres MA, Gore SD, Zeidan AM. Molecular Testing in Myelodysplastic Syndromes for the Practicing Oncologist: Will the Progress Fulfill the Promise? The Oncologist 2015, 20: 1069-1076. PMID: 26194858, PMCID: PMC4571815, DOI: 10.1634/theoncologist.2015-0067.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMyelodysplastic syndromeRisk stratificationMDS patientsMolecular testingClinical risk stratification toolHeterogeneous hematopoietic neoplasmsPathophysiology of MDSAccurate risk stratificationIndependent prognostic impactRisk stratification toolImportant clinical endpointsDaily clinical practiceDisease phenotypeCurrent prognostic toolsPrediction of responseMDS therapyPracticing OncologistOverall survivalLaboratory parametersPrognostic impactClinical outcomesStratification toolClinical benefitSpecific therapyClinical endpointsThe evolving field of prognostication and risk stratification in MDS: Recent developments and future directions
Lee EJ, Podoltsev N, Gore SD, Zeidan AM. The evolving field of prognostication and risk stratification in MDS: Recent developments and future directions. Blood Reviews 2015, 30: 1-10. PMID: 26119927, DOI: 10.1016/j.blre.2015.06.004.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMyelodysplastic syndromeRisk stratificationRecurrent molecular mutationsRisk stratification toolRelevant clinical outcomesPrediction of outcomeRisk/benefit calculationsClinical courseClinical outcomesStratification toolMDS patientsPrognostication toolsIndividual patientsClinical practiceMolecular testingTherapeutic interventionsPatient careTherapeutic selectionPatientsMolecular mutationsIndependent impactPrognosticationBiological heterogeneityOutcomesReliable assay