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Acute myeloid leukemia: leukemia stem cells write a prognostic signature

In a recent interesting article, analysis of gene expression between phenotypically defined acute myeloid leukemia (AML) leukemia stem cells (LSCs) and more mature leukemia progenitor cells is used to generate a differentially expressed gene signature for LSCs. Through clever bioinformatic weighting...

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Detalles Bibliográficos
Autores principales: Gudgin, Emma J, Huntly, Brian JP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226292/
https://www.ncbi.nlm.nih.gov/pubmed/21539722
http://dx.doi.org/10.1186/scrt62
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author Gudgin, Emma J
Huntly, Brian JP
author_facet Gudgin, Emma J
Huntly, Brian JP
author_sort Gudgin, Emma J
collection PubMed
description In a recent interesting article, analysis of gene expression between phenotypically defined acute myeloid leukemia (AML) leukemia stem cells (LSCs) and more mature leukemia progenitor cells is used to generate a differentially expressed gene signature for LSCs. Through clever bioinformatic weighting analysis, the authors describe a method to convert this signature into a single score for any given sample and then test the prognostic utility of this 'LSC score' in publicly available gene expression profiles from bulk AML samples. They demonstrate that a high LSC score is associated with poor prognosis in AML patients and further demonstrate that the score is independent of known prognostic factors, including age, karyotype and mutation of the FLT3 or NPM1 genes. These findings are important and directly relate transcriptional dysregulation in AML LSCs with the outcome in patient samples, thus reinforcing the belief that these cellular populations are crucial for the initial propagation and subsequent relapse and resistance of leukemia.
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spelling pubmed-32262922012-04-27 Acute myeloid leukemia: leukemia stem cells write a prognostic signature Gudgin, Emma J Huntly, Brian JP Stem Cell Res Ther Commentary In a recent interesting article, analysis of gene expression between phenotypically defined acute myeloid leukemia (AML) leukemia stem cells (LSCs) and more mature leukemia progenitor cells is used to generate a differentially expressed gene signature for LSCs. Through clever bioinformatic weighting analysis, the authors describe a method to convert this signature into a single score for any given sample and then test the prognostic utility of this 'LSC score' in publicly available gene expression profiles from bulk AML samples. They demonstrate that a high LSC score is associated with poor prognosis in AML patients and further demonstrate that the score is independent of known prognostic factors, including age, karyotype and mutation of the FLT3 or NPM1 genes. These findings are important and directly relate transcriptional dysregulation in AML LSCs with the outcome in patient samples, thus reinforcing the belief that these cellular populations are crucial for the initial propagation and subsequent relapse and resistance of leukemia. BioMed Central 2011-04-27 /pmc/articles/PMC3226292/ /pubmed/21539722 http://dx.doi.org/10.1186/scrt62 Text en Copyright ©2011 BioMed Central Ltd
spellingShingle Commentary
Gudgin, Emma J
Huntly, Brian JP
Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title_full Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title_fullStr Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title_full_unstemmed Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title_short Acute myeloid leukemia: leukemia stem cells write a prognostic signature
title_sort acute myeloid leukemia: leukemia stem cells write a prognostic signature
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226292/
https://www.ncbi.nlm.nih.gov/pubmed/21539722
http://dx.doi.org/10.1186/scrt62
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