Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS)
Tentori C, Gregorio C, Robin M, Gagelmann N, Gurnari C, Ball S, Berrocal J, Lanino L, D'Amico S, Spreafico M, Maggioni G, Travaglino E, Sauta E, Meggendorfer M, Zhao L, Bernardi M, Di Grazia C, Vago L, Rivoli G, Borin L, Chiusolo P, Giaccone L, Voso M, Bewersdorf J, Nibourel O, Díaz-Beyá M, Jerez A, Hernandez F, Kennedy K, Xicoy B, Ubezio M, Campagna A, Russo A, Todisco G, Mannina D, Bramanti S, Zampini M, Riva E, Bicchieri M, Asti G, Viviani F, Buizza A, Tinterri B, Bacigalupo A, Rambaldi A, Passamonti F, Ciceri F, Savevski V, Santoro A, Al Ali N, Sallman D, Sole F, Garcia-Manero G, Germing U, Kordasti S, Santini V, Sanz G, Kern W, Kubasch A, Platzbecker U, Diez-Campelo M, Maciejewski J, Ades L, Fenaux P, Haferlach T, Zeidan A, Castellani G, Komrokji R, Ieva F, Della Porta M. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS). Blood 2023, 142: 197. DOI: 10.1182/blood-2023-182194.Peer-Reviewed Original ResearchHematopoietic stem cell transplantationStem cell transplantationMyelodysplastic syndromeProlonged life expectancyClinical outcomesOptimal timingCell transplantationLife expectancyValidation cohortImmediate transplantationTransplantation policyRisks of HSCTImmediate hematopoietic stem cell transplantationAllogeneic hematopoietic stem cell transplantationAge groupsDiagnosis of MDSConventional prognostic scoresPost-HSCT outcomesLow-risk diseaseTiming of transplantationDisease-modifying therapiesEarly disease stagesPatient's life expectancyAverage survival timeDifferent time pointsCombining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes
Sauta E, Zampini M, Dall'Olio D, Sala C, Todisco G, Travaglino E, Lanino L, Tentori C, Maggioni G, D'Amico S, Asti G, Dall'Olio L, Mosca E, Ubezio M, Campagna A, Riva E, Bicchieri M, Savevski V, Santoro A, Kordasti S, Santini V, Diez-Campelo M, Kubasch A, Platzbecker U, Fenaux P, Zhao L, Zeidan A, Haferlach T, Castellani G, Della Porta M. Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes. Blood 2023, 142: 1863. DOI: 10.1182/blood-2023-186222.Peer-Reviewed Original ResearchAcute myeloid leukemiaProportional hazards modelOverall survivalClinical outcomesMyelodysplastic syndromeClinical featuresMDS patientsPrognostic informationConcordance indexCox proportional hazards modelConventional prognostic scoresIPSS-R scorePrimary end pointBone marrow blastsHarrell's concordance indexPeripheral blood cytopeniasPrognostic scoring systemRisk of progressionAdditional prognostic informationCytogenetic alterationsGene mutationsIndividual patient levelSame clinical phenotypeBlood cytopeniasMarrow blasts