Personalized Prediction Model to Risk Stratify Patients With Myelodysplastic Syndromes.

doi:10.1200/JCO.20.02810

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Article

Personalized Prediction Model to Risk Stratify Patients With Myelodysplastic Syndromes.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology - 20 Nov 2021

Nazha Aziz, Komrokji Rami, Meggendorfer Manja, Jia Xuefei, Radakovich Nathan, Shreve Jacob, Hilton C Beau, Nagata Yasunubo, Hamilton Betty K, Mukherjee Sudipto, Al Ali Najla, Walter Wencke, Hutter Stephan, Padron Eric, Sallman David, Kuzmanovic Teodora, Kerr Cassandra, Adema Vera, Steensma David P, Dezern Amy, Roboz Gail, Garcia-Manero Guillermo, Erba Harry, Haferlach Claudia, Maciejewski Jaroslaw P, Haferlach Torsten, Sekeres Mikkael A

Abstract excerpt

PURPOSE: Patients with myelodysplastic syndromes (MDS) have a survival that can range from months to decades. Prognostic systems that incorporate advanced analytics of clinical, pathologic, and molecular data have the potential to more accurately and dynamically predict survival in patients receiving various therapies. METHODS: A total of 1,471 MDS patients with comprehensively annotated clinical and molecular...

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PMID: 34406850
DOI: 10.1200/JCO.20.02810
PMCID: PMC8601291

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Source receipt: pubmed, retrieved 7 Sept 2026.

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