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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Bibliographic Details

Published in:	Journal of clinical oncology Vol. 39; no. 11; p. 1223
Main Authors:	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
Language:	English
Published:	United States 10.04.2021
Subjects:	Female Genomics - methods Humans Male Myelodysplastic Syndromes - classification Myelodysplastic Syndromes - genetics Prognosis Retrospective Studies
ISSN:	1527-7755, 1527-7755
Online Access:	Get more information
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