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

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...

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Autores principales: 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
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b8f2ebaeb4ca47dbbfddf2abb90ffb18
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spelling oai:doaj.org-article:b8f2ebaeb4ca47dbbfddf2abb90ffb182021-12-02T17:17:22ZA clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia10.1038/s41467-021-22625-y2041-1723https://doaj.org/article/b8f2ebaeb4ca47dbbfddf2abb90ffb182021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22625-yhttps://doaj.org/toc/2041-1723Several 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.T. Roderick DockingJeremy D. K. ParkerMartin JäderstenGerben DunsLinda ChangJihong JiangJessica A. PilsworthLucas A. SwansonSimon K. ChanReadman ChiuKa Ming NipSamantha MarAngela MoXuan WangSergio Martinez-HøyerRyan J. StubbinsKaren L. MungallAndrew J. MungallRichard A. MooreSteven J. M. Jonesİnanç BirolMarco A. MarraDonna HoggeAly KarsanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
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
A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
description 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.
format article
author 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
author_facet 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
author_sort T. Roderick Docking
title A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
title_short A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
title_full A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
title_fullStr A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
title_full_unstemmed A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
title_sort clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b8f2ebaeb4ca47dbbfddf2abb90ffb18
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