Impact of Response to Hypomethylating Agent-Based Therapy on Survival Outcomes in the Context of Baseline Clinical-Molecular Risk and Transplant Status in Patients with Myelodysplastic Syndromes/Neoplasms (MDS): An Analysis from the International Consortium for MDS (icMDS) Validate Database
Rolles B, Bewersdorf J, Kewan T, Blaha O, Stempel J, Lanino L, Al Ali N, DeZern A, Sekeres M, Uy G, Carraway H, Desai P, Griffiths E, Stein E, Brunner A, McMahon C, Shallis R, Zeidner J, Savona M, Frumm S, Barua S, Chandhok N, Logothetis C, Bidikian A, Getz T, Roboz G, Wang E, Harris A, Amaya M, Hawkins H, Ball S, Grenet J, Xie Z, Madanat Y, Abaza Y, Badar T, Haferlach T, Maciejewski J, Sallman D, Enjeti A, Al-Rabi K, Halahleh K, Hiwase D, Diez-Campelo M, Valcarcel D, Haferlach C, Pleyer L, Kotsianidis I, Pappa V, Santini V, Consagra A, Al-Kali A, Ogawa S, Nannya Y, Della Porta M, Komrokji R, Zeidan A, Stahl M. Impact of Response to Hypomethylating Agent-Based Therapy on Survival Outcomes in the Context of Baseline Clinical-Molecular Risk and Transplant Status in Patients with Myelodysplastic Syndromes/Neoplasms (MDS): An Analysis from the International Consortium for MDS (icMDS) Validate Database. Blood 2024, 144: 664-664. DOI: 10.1182/blood-2024-208034.Peer-Reviewed Original ResearchComposite complete responseAllo-HCTOverall survivalComplete responseIPSS-MHMA therapyMedian OSResponse criteriaAllogeneic stem cell transplantationPartial hematologic recoveryClinical response criteriaStem cell transplantationHypomethylating agent-based therapyAgent-based therapyClinical practiceCox regression analysisResponse to treatmentAvailability of donorsDecitabine monotherapyImpact OSOS benefitHematologic recoveryAzacitidine monotherapyCell transplantationCombination therapyEvaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration
Mosquera Orgueira A, Perez Encinas M, Pérez Míguez C, Crucitti D, Piñeiro Fiel M, Díaz Varela N, Mora E, Díaz-Beyá M, Montoro M, Pomares H, Ramos Ortega F, Tormo M, Jerez A, Nomdedeu J, de Miguel Sanchez C, Arenillas L, Carcel Corella P, Cedena Romero M, Xicoy B, Rivero M, Del Orbe Barreto R, Bewersdorf J, Stahl M, Stempel J, Kewan T, Zeidan A, Diez-Campelo M, Valcarcel D. Evaluating Molecular and Clinical Predictors in Myelodysplastic Syndromes through Machine Learning Integration. Blood 2024, 144: 6683-6683. DOI: 10.1182/blood-2024-198114.Peer-Reviewed Original ResearchLeukemia-free survivalPredictors of OSMyelodysplastic syndromeOverall survivalIPSS-MC-indexFLT3-ITDPredictors of leukemia-free survivalRevised International Prognostic Scoring SystemPrognostication of myelodysplastic syndromesInternational Prognostic Scoring SystemPrognostic Scoring SystemCox regression analysisMolecular dataClinical trial designIPSS-RGenetic variabilityMLL-PTDRandom survival forestPrognostic landscapePrognostic significanceLaboratory parametersAffected prognosisClinical predictorsClinical indicesLandscape of Immune Cell States and Ecosystems in Patients with Myelodysplastic Syndrome to Refine Prognostic Assessment and Predict Treatment Response. a Study By i4MDS Consortium
Riva E, Calvi M, Zampini M, Dall'Olio L, Merlotti A, Russo A, Maggioni G, Orlandi L, Frigo A, Ficara F, Crisafulli L, Sauta E, D'Amico S, Lugli E, Campagna A, Ubezio M, Tentori C, Todisco G, Lanino L, Buizza A, Ventura D, Pinocchio N, Saba E, Santoro A, Santini V, van de Loosdrecht A, Komrokji R, Garcia-Manero G, Fenaux P, Ades L, Platzbecker U, Haferlach T, Almeida A, Zeidan A, Kordasti S, Remondini D, Castellani G, Di Vito C, Mavilio D, Della Porta M. Landscape of Immune Cell States and Ecosystems in Patients with Myelodysplastic Syndrome to Refine Prognostic Assessment and Predict Treatment Response. a Study By i4MDS Consortium. Blood 2024, 144: 665-665. DOI: 10.1182/blood-2024-200184.Peer-Reviewed Original ResearchMyelodysplastic syndromeImmune dysfunctionClinical work-upIPSS-MHypomethylating agentsBone marrowImmune ecosystemNatural killerNK cellsImmune monitoringPeripheral bloodT cellsAntibody panelClinical heterogeneity of myelodysplastic syndromesPatients treated with hypomethylating agentsCohort of MDS patientsLevel of immune dysfunctionRisk of leukemic transformationResponse to hypomethylating agentsHeterogeneity of myelodysplastic syndromesMulti-color flow cytometryWork-up of patientsClinical work-up of patientsImmune monitoring approachesMDS microenvironmentClinical 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 expectancyTreatment of Myelodysplastic Syndromes for Older Patients: Current State of Science, Challenges, and Opportunities
Kewan T, Stahl M, Bewersdorf J, Zeidan A. Treatment of Myelodysplastic Syndromes for Older Patients: Current State of Science, Challenges, and Opportunities. Current Hematologic Malignancy Reports 2024, 19: 138-150. PMID: 38632155, DOI: 10.1007/s11899-024-00733-y.Peer-Reviewed Original ResearchHematopoietic stem cell transplantationAllogeneic hematopoietic stem cell transplantationLower-risk MDSErythropoiesis-stimulating agentsHypomethylating agentsIPSS-MHR-MDSRisk stratificationMolecular International Prognostic Scoring SystemRisk of leukemia progressionTreated with hypomethylating agentsInternational Prognostic Scoring SystemTreatment of myelodysplastic syndromesOral hypomethylating agentsHigh-risk MDSPrognostic Scoring SystemStem cell transplantationEnhanced risk stratificationRecent FindingsRecent advancesRefine treatment strategiesQuality-of-life improvementAssociated with treatmentTreatment decision-makingIntensive chemotherapyMDS patients