2024
Risk prediction for clonal cytopenia: multicenter real-world evidence
Xie Z, Komrokji R, Al Ali N, Regelson A, Geyer S, Patel A, Saygin C, Zeidan A, Bewersdorf J, Mendez L, Kishtagari A, Zeidner J, Coombs C, Madanat Y, Chung S, Badar T, Foran J, Desai P, Tsai C, Griffiths E, Al Malki M, Amanam I, Lai C, Deeg H, Ades L, Arana Yi C, Osman A, Dinner S, Abaza Y, Taylor J, Chandhok N, Soong D, Brunner A, Carraway H, Singh A, Elena C, Ferrari J, Gallì A, Pozzi S, Padron E, Patnaik M, Malcovati L, Savona M, Al-Kali A. Risk prediction for clonal cytopenia: multicenter real-world evidence. Blood 2024, 144: 2033-2044. PMID: 38996210, PMCID: PMC11561536, DOI: 10.1182/blood.2024024756.Peer-Reviewed Original ResearchMyeloid neoplasmsIncidence of MNClonal cytopeniaCumulative incidencePlatelet count <High-risk mutationsCox proportional hazards modelsVariant allele fractionProportional hazards modelClinical trial designCCUS patientsStratify patientsGray's testC-indexDisease entityRisk groupsCytopeniasAllele fractionSomatic mutationsRisk factorsHigh riskNatural historyRisk scoreHazards modelPatients
2023
Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS)
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, Borate U, Sanz G, Efficace F, Gore S, Kim T, Daver N, Garcia-Manero G, Rozman M, Orfao A, Wang S, 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, Komrokji R, Della Porta M. Data-Driven Harmonization of 2022 Who and ICC Classifications of Myelodysplastic Syndromes/Neoplasms (MDS): A Study By the International Consortium for MDS (icMDS). Blood 2023, 142: 998. DOI: 10.1182/blood-2023-186580.Peer-Reviewed Original ResearchBlast countMost patientsTP53 mutationsTET2 mutationsChromosomal abnormalitiesMore TP53 mutationsBone marrow blastsGene mutationsSF3B1 mutationsClinical decision-making processHigh-risk mutationsMarrow blastsMultilineage dysplasiaPatient characteristicsAML patientsClinical entityInternational cohortSHAP analysisMDS casesPatientsClinical relevanceCytogenetic abnormalitiesClinical settingComplex karyotypeU2AF1 mutationsManagement of Acute Myeloid Leukemia with Myelodysplasia-Related Changes and Therapy-Related Acute Myeloid Leukemia
Bewersdorf J, Zeidan A. Management of Acute Myeloid Leukemia with Myelodysplasia-Related Changes and Therapy-Related Acute Myeloid Leukemia. 2023, 119-128. DOI: 10.1007/978-981-99-3810-0_8.ChaptersTherapy-related AMLAcute myeloid leukemiaSecondary AMLAML-MRCMyeloid leukemiaRandomized phase III clinical trialsPhase III clinical trialsAdverse cytogenetic featuresOverall survival benefitDe novo AMLT-AML patientsYears of ageHigh-risk mutationsInduction chemotherapyMonosomal karyotypeCPX-351Intensive chemotherapyNovo AMLSurvival benefitTreatment landscapeAdverse prognosisFrontline treatmentSubgroup analysisClinical trialsConventional chemotherapy