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Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact
Acute myeloid leukaemia (AML) is characterised by phenotypic heterogeneity, which we hypothesise is a consequence of deregulated differentiation with transcriptional reminiscence of the normal compartment or cell-of-origin. Here, we propose a classification system based on normal myeloid progenitor...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179860/ https://www.ncbi.nlm.nih.gov/pubmed/32324791 http://dx.doi.org/10.1371/journal.pone.0229593 |
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author | Schönherz, Anna A. Bødker, Julie Støve Schmitz, Alexander Brøndum, Rasmus Froberg Jakobsen, Lasse Hjort Roug, Anne Stidsholt Severinsen, Marianne T. El-Galaly, Tarec C. Jensen, Paw Johnsen, Hans Erik Bøgsted, Martin Dybkær, Karen |
author_facet | Schönherz, Anna A. Bødker, Julie Støve Schmitz, Alexander Brøndum, Rasmus Froberg Jakobsen, Lasse Hjort Roug, Anne Stidsholt Severinsen, Marianne T. El-Galaly, Tarec C. Jensen, Paw Johnsen, Hans Erik Bøgsted, Martin Dybkær, Karen |
author_sort | Schönherz, Anna A. |
collection | PubMed |
description | Acute myeloid leukaemia (AML) is characterised by phenotypic heterogeneity, which we hypothesise is a consequence of deregulated differentiation with transcriptional reminiscence of the normal compartment or cell-of-origin. Here, we propose a classification system based on normal myeloid progenitor cell subset-associated gene signatures (MAGS) for individual assignments of AML subtypes. We generated a MAGS classifier including the progenitor compartments CD34(+)/CD38(-) for haematopoietic stem cells (HSCs), CD34(+)/CD38(+)/CD45RA(-) for megakaryocyte-erythroid progenitors (MEPs), and CD34(+)/CD38(+)/CD45RA(+) for granulocytic-monocytic progenitors (GMPs) using regularised multinomial regression with three discrete outcomes and an elastic net penalty. The regularisation parameters were chosen by cross-validation, and MAGS assignment accuracy was validated in an independent data set (N = 38; accuracy = 0.79) of sorted normal myeloid subpopulations. The prognostic value of MAGS assignment was studied in two clinical cohorts (TCGA: N = 171; GSE6891: N = 520) and had a significant prognostic impact. Furthermore, multivariate Cox regression analysis using the MAGS subtype, FAB subtype, cytogenetics, molecular genetics, and age as explanatory variables showed independent prognostic value. Molecular characterisation of subtypes by differential gene expression analysis, gene set enrichment analysis, and mutation patterns indicated reduced proliferation and overrepresentation of RUNX1 and IDH2 mutations in the HSC subtype; increased proliferation and overrepresentation of CEBPA mutations in the MEP subtype; and innate immune activation and overrepresentation of WT1 mutations in the GMP subtype. We present a differentiation-dependent classification system for AML subtypes with distinct pathogenetic and prognostic importance that can help identify candidates poorly responding to combination chemotherapy and potentially guide alternative treatments. |
format | Online Article Text |
id | pubmed-7179860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71798602020-05-05 Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact Schönherz, Anna A. Bødker, Julie Støve Schmitz, Alexander Brøndum, Rasmus Froberg Jakobsen, Lasse Hjort Roug, Anne Stidsholt Severinsen, Marianne T. El-Galaly, Tarec C. Jensen, Paw Johnsen, Hans Erik Bøgsted, Martin Dybkær, Karen PLoS One Research Article Acute myeloid leukaemia (AML) is characterised by phenotypic heterogeneity, which we hypothesise is a consequence of deregulated differentiation with transcriptional reminiscence of the normal compartment or cell-of-origin. Here, we propose a classification system based on normal myeloid progenitor cell subset-associated gene signatures (MAGS) for individual assignments of AML subtypes. We generated a MAGS classifier including the progenitor compartments CD34(+)/CD38(-) for haematopoietic stem cells (HSCs), CD34(+)/CD38(+)/CD45RA(-) for megakaryocyte-erythroid progenitors (MEPs), and CD34(+)/CD38(+)/CD45RA(+) for granulocytic-monocytic progenitors (GMPs) using regularised multinomial regression with three discrete outcomes and an elastic net penalty. The regularisation parameters were chosen by cross-validation, and MAGS assignment accuracy was validated in an independent data set (N = 38; accuracy = 0.79) of sorted normal myeloid subpopulations. The prognostic value of MAGS assignment was studied in two clinical cohorts (TCGA: N = 171; GSE6891: N = 520) and had a significant prognostic impact. Furthermore, multivariate Cox regression analysis using the MAGS subtype, FAB subtype, cytogenetics, molecular genetics, and age as explanatory variables showed independent prognostic value. Molecular characterisation of subtypes by differential gene expression analysis, gene set enrichment analysis, and mutation patterns indicated reduced proliferation and overrepresentation of RUNX1 and IDH2 mutations in the HSC subtype; increased proliferation and overrepresentation of CEBPA mutations in the MEP subtype; and innate immune activation and overrepresentation of WT1 mutations in the GMP subtype. We present a differentiation-dependent classification system for AML subtypes with distinct pathogenetic and prognostic importance that can help identify candidates poorly responding to combination chemotherapy and potentially guide alternative treatments. Public Library of Science 2020-04-23 /pmc/articles/PMC7179860/ /pubmed/32324791 http://dx.doi.org/10.1371/journal.pone.0229593 Text en © 2020 Schönherz et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Schönherz, Anna A. Bødker, Julie Støve Schmitz, Alexander Brøndum, Rasmus Froberg Jakobsen, Lasse Hjort Roug, Anne Stidsholt Severinsen, Marianne T. El-Galaly, Tarec C. Jensen, Paw Johnsen, Hans Erik Bøgsted, Martin Dybkær, Karen Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title | Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title_full | Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title_fullStr | Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title_full_unstemmed | Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title_short | Normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
title_sort | normal myeloid progenitor cell subset-associated gene signatures for acute myeloid leukaemia subtyping with prognostic impact |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7179860/ https://www.ncbi.nlm.nih.gov/pubmed/32324791 http://dx.doi.org/10.1371/journal.pone.0229593 |
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