Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers
Author(s) -
Eric J. Duncavage,
Molly C. Schroeder,
Michele O’Laughlin,
Roxanne Wilson,
Sandra MacMillan,
A.S. Bohan,
Scott Kruchowski,
John Garza,
Feiyu Du,
Andrew Hughes,
Josh Robinson,
Emma Hughes,
Sharon E. Heath,
Jack Baty,
Julie Neidich,
Matthew Christopher,
Meagan A. Jacoby,
Geoffrey L. Uy,
Robert S. Fulton,
Christopher A. Miller,
Jacqueline E. Payton,
Daniel C. Link,
Matthew J. Walter,
Peter Westervelt,
John F. DiPersio,
Timothy J. Ley,
David H. Spencer
Publication year - 2021
Publication title -
new england journal of medicine
Language(s) - English
Resource type - Journals
eISSN - 1533-4406
pISSN - 0028-4793
DOI - 10.1056/nejmoa2024534
Subject(s) - myeloid leukemia , myelodysplastic syndromes , risk stratification , genome , biology , dna sequencing , computational biology , myeloid , whole genome sequencing , cancer genome sequencing , genetics , medicine , gene , cancer research , bone marrow , immunology
Genomic analysis is essential for risk stratification in patients with acute myeloid leukemia (AML) or myelodysplastic syndromes (MDS). Whole-genome sequencing is a potential replacement for conventional cytogenetic and sequencing approaches, but its accuracy, feasibility, and clinical utility have not been demonstrated.
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