Patient stratification in myelodysplastic syndromes: how a puzzle may become a map
Heterogeneity is the disease-defining epithet of myelodysplastic syndromes myelodysplastic syndromes: (my-eh-lo-diss-PLASS-ti
Myelodysplastic Syndromes (MDS)
The Genomics of Myelodysplastic Syndromes: Origins of Disease Evolution, Biological Pathways, and Prognostic Implications
The molecular pathogenesis of myelodysplastic syndrome (MDS) is complex due to the high rate of genomic heterogeneity. Significant advances have been made in the last decade which elucidated the landscape of molecular alterations (cytogenetic abnormalities, gene mutations) in MDS.
Venetoclax and hypomethylating agent therapy in high risk myelodysplastic syndromes: a retrospective evaluation of a real-world experience
Treatment with hypomethylating agents (HMAs) azacitidine azacitidine: It works by reducing the amount of methylation in the body.
Outpatient transfusions for myelodysplastic syndromes
Patients with myelodysplastic syndromes myelodysplastic syndromes: (my-eh-lo-diss-PLASS-tik SIN-dromez) A group of disorders
Myelodysplastic syndromes: 2021 update on diagnosis, risk stratification and management
Disease overview: The myelodysplastic syndromes myelodysplastic syndromes: (my-eh-lo-diss-PLASS-tik SIN
NCCN Grants Category 2A Recommendation to Decitabine/Cedazuridine Combo for MDS
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The National Comprehensive Cancer Network has updated its Clinical Practice Guidelines in Oncology for Myelodysplastic Syndromes (MDS) to include the combination of decitabine and cedazuridine (Inqovi) as a category 2a recommendation for the treatment of adult patients with…
New Strategies Improve Outcomes for Lower-Risk MDS
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Myelodysplastic syndrome (MDS) is a challenging and complicated disease with median outcomes ranging from 5.3 years in patients with lower-risk disease to just 8.4 months in the very high-risk population. 1,2 However, newly approved agents entering the armamentarium are providing…
Human and artificial intelligence to illuminate MDS
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In this issue of Blood, Nagata et al show for the first time that machine learning (ML) algorithms can discern patterns and identify diagnostically and prognostically relevant associations between genetic variants and cytomorphological changes in myelodysplastic syndromes (MDS)…