2024
Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes
Tentori C, Gregorio C, Robin M, Gagelmann N, Gurnari C, Ball S, Caballero Berrocal J, Lanino L, D'Amico S, Spreafico M, Maggioni G, Travaglino E, Sauta E, Meggendorfer M, Zhao L, Campagna A, Savevski V, Santoro A, Al Ali N, Sallman D, Sole F, Garcia-Manero G, Germing U, Kroger N, Kordasti S, Santini V, Sanz G, Kern W, Platzbecker U, Diez-Campelo M, Maciejewski J, Ades L, Fenaux P, Haferlach T, Zeidan A, Castellani G, Komrokji R, Ieva F, Della Porta M, Bernardi M, Di Grazia C, Vago L, Rivoli G, Borin L, Chiusolo P, Giaccone L, Voso M, Bewersdorf J, Nibourel O, Beyá M, Jerez A, Hernández F, Kennedy K, Xicoy B, Ubezio M, Russo A, Todisco G, Mannina D, Bramanti S, Zampini M, Riva E, Bicchieri M, Asti G, Viviani F, Buizza A, Tinterri B, Kubasch A, Bacigalupo A, Raiola A, Rambaldi A, Passamonti F, Ciceri F. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes. Journal Of Clinical Oncology 2024, 42: 2873-2886. PMID: 38723212, PMCID: PMC11328926, DOI: 10.1200/jco.23.02175.Peer-Reviewed Original ResearchHematopoietic stem-cell transplantationAllogeneic hematopoietic stem-cell transplantationStem-cell transplantationMyelodysplastic syndromeIPSS-MMolecular International Prognostic Scoring SystemInternational Prognostic Scoring SystemPrognostic Scoring SystemTime of transplantationProportion of patientsHigh-risk categoryOptimal timingProlonged life expectancyRevised IPSSIPSS-RRetrospective populationValidation cohortCurative treatmentClinical relevanceTransplantationPatientsModerately high-Scoring systemAverage survivalLife expectancy
2022
Prognostication in myelodysplastic syndromes (neoplasms): Molecular risk stratification finally coming of age
Xie Z, Chen E, Stahl M, Zeidan A. Prognostication in myelodysplastic syndromes (neoplasms): Molecular risk stratification finally coming of age. Blood Reviews 2022, 59: 101033. PMID: 36357283, DOI: 10.1016/j.blre.2022.101033.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsMyelodysplastic syndromePrognostic modelManagement of MDSInternational Prognostic Scoring SystemMolecular prognostic modelPrognostic scoring systemMolecular risk stratificationHeterogeneous clinical outcomesBone marrow failure disordersMarrow failure disordersRevised IPSSClinical outcomesRisk prognosticationRisk stratificationTraditional risk modelsScoring systemMDS pathobiology
2014
Platelet count doubling after the first cycle of azacitidine therapy predicts eventual response and survival in patients with myelodysplastic syndromes and oligoblastic acute myeloid leukaemia but does not add to prognostic utility of the revised IPSS
Zeidan AM, Lee J, Prebet T, Greenberg P, Sun Z, Juckett M, Smith MR, Paietta E, Gabrilove J, Erba HP, Katterling RP, Tallman MS, Gore SD. Platelet count doubling after the first cycle of azacitidine therapy predicts eventual response and survival in patients with myelodysplastic syndromes and oligoblastic acute myeloid leukaemia but does not add to prognostic utility of the revised IPSS. British Journal Of Haematology 2014, 167: 62-68. PMID: 24995683, PMCID: PMC4299466, DOI: 10.1111/bjh.13008.Peer-Reviewed Original ResearchConceptsOligoblastic acute myeloid leukemiaAzacitidine therapyPrognostic scoring systemAcute myeloid leukemiaMyelodysplastic syndromePlatelet countMyeloid leukemiaScoring systemInternational Prognostic Scoring SystemProspective clinical trialsRisk of deathNorth American patientsUnmet medical needRevised IPSSObjective responsePrognostic utilityClinical benefitAmerican patientsClinical trialsDutch cohortLarge cohortSurvival advantageMolecular predictorsPatientsTop research priorities
2013
The Utility Of Newer Risk Models In Predicting Outcomes Of Patients (pts) With Higher-Risk (HR) Myelodysplastic Syndromes (MDS) Treated With Azactidine (aza)
Zeidan A, Al Ali N, Kharfan-Dabaja M, Padron E, Zhang L, Epling-Burnette P, Lancet J, List A, Komrokji R. The Utility Of Newer Risk Models In Predicting Outcomes Of Patients (pts) With Higher-Risk (HR) Myelodysplastic Syndromes (MDS) Treated With Azactidine (aza). Blood 2013, 122: 2771. DOI: 10.1182/blood.v122.21.2771.2771.Peer-Reviewed Original ResearchMD Anderson Prognostic Scoring SystemMedian overall survivalHigh-risk groupMoffitt Cancer CenterAZA therapyHR-MDSOverall survivalPrognostic scoring systemMyelodysplastic syndromeIntermediate riskRisk groupsLower riskScoring systemPrognostic groupsInt-2Therapy-related myelodysplastic syndromeHigh-risk myelodysplastic syndromeCycles of therapyHR-MDS patientsKaplan-Meier curvesLog-rank testOff-label useAZA initiationR-IPSSRevised IPSS