The Prognostic and Predictive Value of RUNX1 Mutations in Newly Diagnosed Acute Myeloid Leukemia - an International Multicenter Cohort Study
Bystrom R, Bewersdorf J, Liu Y, Schaefer E, Shallis R, Boussi L, Zucenka A, Garciaz S, Aguirre L, DeAngelo D, Stone R, Luskin M, Garcia J, Winer E, Chen E, Wadleigh M, Ling K, Stein E, Goldberg A, Zeidan A, Shimony S, Stahl M. The Prognostic and Predictive Value of RUNX1 Mutations in Newly Diagnosed Acute Myeloid Leukemia - an International Multicenter Cohort Study. Blood 2024, 144: 2947-2947. DOI: 10.1182/blood-2024-205581.Peer-Reviewed Original ResearchAcute myeloid leukemiaComposite complete responseMedian OSRUNX1 mutationsComplete responseIntensive chemotherapyOverall survivalMyelodysplastic syndromeAllo-SCTIntermediate riskPredictive valueMyeloid leukemiaInternational multicenter retrospective cohort studyTreatment strategiesCohort studyNewly diagnosed acute myeloid leukemiaAllogeneic stem cell transplantationMulticenter retrospective cohort studyNext-generation sequencingAntecedent MDSConcomitant TP53 mutationIncomplete count recoveryTreated with ICStem cell transplantationAdverse risk featuresData-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes
Komrokji R, 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, Delleani M, Campagna A, Borate U, Sanz G, Efficace F, Gore S, Kim T, Daver N, Garcia-Manero G, Rozman M, Orfao A, Wang A, 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, Della Porta M, Syndromes I. Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes. The Lancet Haematology 2024, 11: e862-e872. PMID: 39393368, DOI: 10.1016/s2352-3026(24)00251-5.Peer-Reviewed Original ResearchGenomic featuresData-driven approachTP53 inactivationGenomic heterogeneityEntity labelsGenetic featuresDel(7q)/-7Myelodysplastic syndromeGenomic profilingData scientistsMutated SF3B1Cluster assignmentComplex karyotypeRUNX1 mutationsModified Delphi consensus processDel(5qIsolated del(5qAcute myeloid leukemiaData-drivenDelphi consensus processMarrow blasts