Combining 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