A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia

Autor: T. Roderick Docking, Jeremy D. K. Parker, Martin Jädersten, Gerben Duns, Linda Chang, Jihong Jiang, Jessica A. Pilsworth, Lucas A. Swanson, Simon K. Chan, Readman Chiu, Ka Ming Nip, Samantha Mar, Angela Mo, Xuan Wang, Sergio Martinez-Høyer, Ryan J. Stubbins, Karen L. Mungall, Andrew J. Mungall, Richard A. Moore, Steven J. M. Jones, İnanç Birol, Marco A. Marra, Donna Hogge, Aly Karsan
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-22625-y
Popis: Several genomic features have been found for acute myeloid leukaemia (AML) but targeted clinical genetic testing fails to predict prognosis. Here, the authors generate an AML prognostic score from RNA-seq data of patients, which successfully stratifies AML patients and which may provide guidance for therapeutic strategies.
Databáze: Directory of Open Access Journals
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