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
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 mutations