A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)
Lanino L, Hunter A, Gagelmann N, Robin M, Sala C, Dall'Olio D, Gurnari C, Dall'Olio L, Wang Y, Pleyer L, Xicoy B, Montalban-Bravo G, Shih L, Haque T, Abdel-Wahab O, Geissler K, Bataller A, Bazinet A, Meggendorfer M, Casetti I, Sauta E, Travaglino E, Palomo L, Zamora L, Quintela D, Jerez A, Cornejo E, Garcia Martin P, Díaz-Beyá M, Avendaño Pita A, Roldan V, Fiallo Suarez D, Cerezo Velasco E, Calabuig M, Such E, Sanz G, Kubasch A, Castilla-Llorente C, Bulabois C, Souchet L, Awada H, Bernardi M, Chiusolo P, Curti A, Giaccone L, Onida F, Borin L, Passamonti F, Diral E, Vucinic V, Bergonzi G, Voso M, Hou H, Chou W, Yao C, Lin C, Tien H, Campagna A, Ubezio M, Russo A, Todisco G, Maggioni G, Tentori C, Buizza A, Asti G, Zampini M, Riva E, Delleani M, Consagra A, Ficara F, Santoro A, Carota L, Sanavia T, Rollo C, Kiwan A, VanOudenhove J, Fariselli P, Al Ali N, Sallman D, Kern W, Garcia-Manero G, Thota S, Griffiths E, Follo M, Finelli C, Platzbecker U, Sole F, Diez-Campelo M, Maciejewski J, Bejar R, Thol F, Kröger N, Fenaux P, Itzykson R, Graubert T, Fontenay M, Zeidan A, Komrokji R, Santini V, Haferlach T, Germing U, D'Amico S, Castellani G, Patnaik M, Solary E, Padron E, Della Porta M. A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML). Blood 2024, 144: 1003-1003. DOI: 10.1182/blood-2024-200104.Peer-Reviewed Original ResearchChronic myelomonocytic leukemiaLeukemia-free survivalMyeloid neoplasmsProportion of patientsOverall survivalMolecular-based toolsMolecular informationEvaluation of mutation statusInfluence disease phenotypeGenomic overlapScoring systemGenomic associationsGenomic featuresSplicing machineryConcordance indexGenomic characterizationChronic myelomonocytic leukemia patientsMedian leukemia-free survivalProbability of disease relapseAllogeneic stem cell transplantationSignal transductionGenomic heterogeneityRisk of disease progressionMulti-color flow cytometryMutation screeningData-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