2024
Future directions in myelodysplastic syndromes/neoplasms and acute myeloid leukaemia classification: from blast counts to biology
Della Porta M, Bewersdorf J, Wang Y, Hasserjian R. Future directions in myelodysplastic syndromes/neoplasms and acute myeloid leukaemia classification: from blast counts to biology. Histopathology 2024 PMID: 39450427, DOI: 10.1111/his.15353.Peer-Reviewed Original ResearchAcute myeloid leukemiaIntegration of genomic dataGenomic informationGenomic dataPresence of SF3B1 mutationsDisease entityMethylation profilesAML classificationRecurrent genetic abnormalitiesHaematopoietic cell proliferationPercentage of myeloblastsGene expressionGenetic featuresMultiple diagnostic modalitiesPatient risk stratificationSF3B1 mutationsBlast countDisease pathogenesisGenetic abnormalitiesCell proliferationTP53 abnormalitiesDiagnostic modalitiesMyeloid leukemiaBone marrowPatient cohortData-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes
Komrokji R, Lanino L, Ball S, Bewersdorf J, Marchetti M, Maggioni G, Travaglino E, Al Ali N, Fenaux P, Platzbecker U, Santini V, Diez-Campelo M, Singh A, Jain A, Aguirre L, Tinsley-Vance S, Schwabkey Z, Chan O, Xie Z, Brunner A, Kuykendall A, Bennett J, Buckstein R, Bejar R, Carraway H, DeZern A, Griffiths E, Halene S, Hasserjian R, Lancet J, List A, Loghavi S, Odenike O, Padron E, Patnaik M, Roboz G, Stahl M, Sekeres M, Steensma D, Savona M, Taylor J, Xu M, Sweet K, Sallman D, Nimer S, Hourigan C, Wei A, Sauta E, D’Amico S, Asti G, Castellani G, Delleani M, Campagna A, Borate U, Sanz G, Efficace F, Gore S, Kim T, Daver N, Garcia-Manero G, Rozman M, Orfao A, Wang A, Foucar M, Germing U, Haferlach T, Scheinberg P, Miyazaki Y, Iastrebner M, Kulasekararaj A, Cluzeau T, Kordasti S, van de Loosdrecht A, Ades L, Zeidan A, Della Porta M, Syndromes I. Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes. The Lancet Haematology 2024, 11: e862-e872. PMID: 39393368, DOI: 10.1016/s2352-3026(24)00251-5.Peer-Reviewed Original ResearchGenomic featuresData-driven approachTP53 inactivationGenomic heterogeneityEntity labelsGenetic featuresDel(7q)/-7Myelodysplastic syndromeGenomic profilingData scientistsMutated SF3B1Cluster assignmentComplex karyotypeRUNX1 mutationsModified Delphi consensus processDel(5qIsolated del(5qAcute myeloid leukemiaData-drivenDelphi consensus processMarrow blasts
2020
Evolving therapies for lower-risk myelodysplastic syndromes
Bewersdorf JP, Zeidan AM. Evolving therapies for lower-risk myelodysplastic syndromes. Annals Of Hematology 2020, 99: 677-692. PMID: 32078008, DOI: 10.1007/s00277-020-03963-1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAnemiaBlood TransfusionChelation TherapyClinical Trials as TopicCri-du-Chat SyndromeDrugs, InvestigationalForecastingHematinicsHematopoietic Stem Cell TransplantationHumansImmunosuppressive AgentsIron OverloadLenalidomideMolecular Targeted TherapyMulticenter Studies as TopicMyelodysplastic SyndromesPrecision MedicinePrognosisRisk AssessmentSeverity of Illness IndexConceptsInternational Prognostic Scoring SystemLow-risk MDS patientsMyelodysplastic syndromeMDS patientsLower-risk myelodysplastic syndromesPrognostic scoring systemRisk stratification toolAdvanced clinical testingSymptomatic anemiaStratification toolHematologic malignanciesCurrent treatmentTherapeutic approachesNew agentsNew drug approvalsTherapeutic conceptsClinical developmentPatientsClinical testingMolecular pathogenesisScoring systemTherapeutic landscapePromising agentDrug approvalGenetic features