Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes

Recurrently mutated genes and chromosomal abnormalities have been identified in myelodysplastic syndromes (MDS). We aim to integrate these genomic features into disease classification and prognostication. We retrospectively enrolled 2,043 patients. Using Bayesian networks and Dirichlet processes, we...

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Veröffentlicht in:	Journal of clinical oncology Jg. 39; H. 11; S. 1223
Hauptverfasser:	Bersanelli, Matteo, Travaglino, Erica, Meggendorfer, Manja, Matteuzzi, Tommaso, Sala, Claudia, Mosca, Ettore, Chiereghin, Chiara, Di Nanni, Noemi, Gnocchi, Matteo, Zampini, Matteo, Rossi, Marianna, Maggioni, Giulia, Termanini, Alberto, Angelucci, Emanuele, Bernardi, Massimo, Borin, Lorenza, Bruno, Benedetto, Bonifazi, Francesca, Santini, Valeria, Bacigalupo, Andrea, Voso, Maria Teresa, Oliva, Esther, Riva, Marta, Ubezio, Marta, Morabito, Lucio, Campagna, Alessia, Saitta, Claudia, Savevski, Victor, Giampieri, Enrico, Remondini, Daniel, Passamonti, Francesco, Ciceri, Fabio, Bolli, Niccolò, Rambaldi, Alessandro, Kern, Wolfgang, Kordasti, Shahram, Sole, Francesc, Palomo, Laura, Sanz, Guillermo, Santoro, Armando, Platzbecker, Uwe, Fenaux, Pierre, Milanesi, Luciano, Haferlach, Torsten, Castellani, Gastone, Della Porta, Matteo G
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 10.04.2021
Schlagworte:	Female Genomics - methods Humans Male Myelodysplastic Syndromes - classification Myelodysplastic Syndromes - genetics Prognosis Retrospective Studies
ISSN:	1527-7755, 1527-7755
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