Novel therapeutic strategies in myelodysplastic syndromes: Do molecular genetics help? Journal Article


Author: Chung, S. S.
Article Title: Novel therapeutic strategies in myelodysplastic syndromes: Do molecular genetics help?
Abstract: Purpose of review Many studies over the past decade have together identified genes that are recurrently mutated in the myelodysplastic syndromes (MDS). We will summarize how this information has informed our understanding of disease pathogenesis and behavior, with an emphasis on how this information may inform therapeutic strategies. Recent findings Genomic sequencing techniques have allowed for the identification of many recurrently mutated genes in MDS, with the most common mutations being found in epigenetic modifiers and components of the splicing machinery. Although many mutations are associated with clinical outcomes and disease phenotypes, at the current time they add relatively little to already robust clinical prognostic algorithms. However, as molecular genetic data are accumulated in larger numbers of patients, it is likely that the clinical significance of co-occurring mutations and less common mutations will come to light. Finally, mutated genes may identify biologically distinct subgroups of MDS that may benefit from novel therapies, and a subset of these genes may themselves serve as therapeutic targets. Summary Advances in our knowledge of the molecular genetics of MDS have significantly improved our understanding of disease biology and promise to improve tools for clinical decision-making and identify new therapies for patients. © 2016 Wolters Kluwer Health, Inc.
Keywords: molecular genetics; prognostic models; novel therapeutics; myelodysplasia; the myelodysplastic syndromes
Journal Title: Current Opinion in Hematology
Volume: 23
Issue: 2
ISSN: 1065-6251
Publisher: Lippincott Williams & Wilkins, Ltd.  
Date Published: 2016-03-01
Start Page: 79
End Page: 87
Language: English
DOI: 10.1097/moh.0000000000000211
PROVIDER: scopus
PUBMED: 26825694
PMCID: PMC5053335
DOI/URL:
Notes: Review -- Export Date: 3 March 2016 -- Source: Scopus
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  1. Stephen Shiu-Wah Chung
    61 Chung
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