Cargando…
A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis
Classification of acute lymphoblastic and myeloid leukemias (ALL and AML) remains heavily based on phenotypic resemblance to normal hematopoietic precursors. This framework can provide diagnostic challenges for immunophenotypically heterogeneous immature leukemias, and ignores recent advances in und...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932917/ https://www.ncbi.nlm.nih.gov/pubmed/32655144 http://dx.doi.org/10.1038/s41375-020-0965-z |
_version_ | 1783660514699640832 |
---|---|
author | Bond, Jonathan Krzywon, Aleksandra Lhermitte, Ludovic Roumier, Christophe Roggy, Anne Belhocine, Mohamed Kheirallah, Alexander Abdulkader Villarese, Patrick Hypolite, Guillaume Garnache-Ottou, Francine Castaigne, Sylvie Boissel, Nicolas Asnafi, Vahid Preudhomme, Claude Dombret, Hervé Laurenti, Elisa Macintyre, Elizabeth |
author_facet | Bond, Jonathan Krzywon, Aleksandra Lhermitte, Ludovic Roumier, Christophe Roggy, Anne Belhocine, Mohamed Kheirallah, Alexander Abdulkader Villarese, Patrick Hypolite, Guillaume Garnache-Ottou, Francine Castaigne, Sylvie Boissel, Nicolas Asnafi, Vahid Preudhomme, Claude Dombret, Hervé Laurenti, Elisa Macintyre, Elizabeth |
author_sort | Bond, Jonathan |
collection | PubMed |
description | Classification of acute lymphoblastic and myeloid leukemias (ALL and AML) remains heavily based on phenotypic resemblance to normal hematopoietic precursors. This framework can provide diagnostic challenges for immunophenotypically heterogeneous immature leukemias, and ignores recent advances in understanding of developmental multipotency of diverse normal hematopoietic progenitor populations that are identified by transcriptional signatures. We performed transcriptional analyses of a large series of acute myeloid and lymphoid leukemias and detected significant overlap in gene expression between cases in different diagnostic categories. Bioinformatic classification of leukemias along a continuum of hematopoietic differentiation identified leukemias at the myeloid/T-lymphoid interface, which shared gene expression programs with a series of multi or oligopotent hematopoietic progenitor populations, including the most immature CD34+CD1a−CD7− subset of early thymic precursors. Within these interface acute leukemias (IALs), transcriptional resemblance to early lymphoid progenitor populations and biphenotypic leukemias was more evident in cases originally diagnosed as AML, rather than T-ALL. Further prognostic analyses revealed that expression of IAL transcriptional programs significantly correlated with poor outcome in independent AML patient cohorts. Our results suggest that traditional binary approaches to acute leukemia categorization are reductive, and that identification of IALs could allow better treatment allocation and evaluation of therapeutic options. |
format | Online Article Text |
id | pubmed-7932917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79329172021-03-19 A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis Bond, Jonathan Krzywon, Aleksandra Lhermitte, Ludovic Roumier, Christophe Roggy, Anne Belhocine, Mohamed Kheirallah, Alexander Abdulkader Villarese, Patrick Hypolite, Guillaume Garnache-Ottou, Francine Castaigne, Sylvie Boissel, Nicolas Asnafi, Vahid Preudhomme, Claude Dombret, Hervé Laurenti, Elisa Macintyre, Elizabeth Leukemia Article Classification of acute lymphoblastic and myeloid leukemias (ALL and AML) remains heavily based on phenotypic resemblance to normal hematopoietic precursors. This framework can provide diagnostic challenges for immunophenotypically heterogeneous immature leukemias, and ignores recent advances in understanding of developmental multipotency of diverse normal hematopoietic progenitor populations that are identified by transcriptional signatures. We performed transcriptional analyses of a large series of acute myeloid and lymphoid leukemias and detected significant overlap in gene expression between cases in different diagnostic categories. Bioinformatic classification of leukemias along a continuum of hematopoietic differentiation identified leukemias at the myeloid/T-lymphoid interface, which shared gene expression programs with a series of multi or oligopotent hematopoietic progenitor populations, including the most immature CD34+CD1a−CD7− subset of early thymic precursors. Within these interface acute leukemias (IALs), transcriptional resemblance to early lymphoid progenitor populations and biphenotypic leukemias was more evident in cases originally diagnosed as AML, rather than T-ALL. Further prognostic analyses revealed that expression of IAL transcriptional programs significantly correlated with poor outcome in independent AML patient cohorts. Our results suggest that traditional binary approaches to acute leukemia categorization are reductive, and that identification of IALs could allow better treatment allocation and evaluation of therapeutic options. Nature Publishing Group UK 2020-07-13 2021 /pmc/articles/PMC7932917/ /pubmed/32655144 http://dx.doi.org/10.1038/s41375-020-0965-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bond, Jonathan Krzywon, Aleksandra Lhermitte, Ludovic Roumier, Christophe Roggy, Anne Belhocine, Mohamed Kheirallah, Alexander Abdulkader Villarese, Patrick Hypolite, Guillaume Garnache-Ottou, Francine Castaigne, Sylvie Boissel, Nicolas Asnafi, Vahid Preudhomme, Claude Dombret, Hervé Laurenti, Elisa Macintyre, Elizabeth A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title | A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title_full | A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title_fullStr | A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title_full_unstemmed | A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title_short | A transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
title_sort | transcriptomic continuum of differentiation arrest identifies myeloid interface acute leukemias with poor prognosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932917/ https://www.ncbi.nlm.nih.gov/pubmed/32655144 http://dx.doi.org/10.1038/s41375-020-0965-z |
work_keys_str_mv | AT bondjonathan atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT krzywonaleksandra atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT lhermitteludovic atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT roumierchristophe atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT roggyanne atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT belhocinemohamed atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT kheirallahalexanderabdulkader atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT villaresepatrick atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT hypoliteguillaume atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT garnacheottoufrancine atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT castaignesylvie atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT boisselnicolas atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT asnafivahid atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT preudhommeclaude atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT dombretherve atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT laurentielisa atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT macintyreelizabeth atranscriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT bondjonathan transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT krzywonaleksandra transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT lhermitteludovic transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT roumierchristophe transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT roggyanne transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT belhocinemohamed transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT kheirallahalexanderabdulkader transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT villaresepatrick transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT hypoliteguillaume transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT garnacheottoufrancine transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT castaignesylvie transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT boisselnicolas transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT asnafivahid transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT preudhommeclaude transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT dombretherve transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT laurentielisa transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis AT macintyreelizabeth transcriptomiccontinuumofdifferentiationarrestidentifiesmyeloidinterfaceacuteleukemiaswithpoorprognosis |