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Unified classification and risk-stratification in Acute Myeloid Leukemia

Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 mol...

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Autores principales: Tazi, Yanis, Arango-Ossa, Juan E., Zhou, Yangyu, Bernard, Elsa, Thomas, Ian, Gilkes, Amanda, Freeman, Sylvie, Pradat, Yoann, Johnson, Sean J., Hills, Robert, Dillon, Richard, Levine, Max F., Leongamornlert, Daniel, Butler, Adam, Ganser, Arnold, Bullinger, Lars, Döhner, Konstanze, Ottmann, Oliver, Adams, Richard, Döhner, Hartmut, Campbell, Peter J., Burnett, Alan K., Dennis, Michael, Russell, Nigel H., Devlin, Sean M., Huntly, Brian J. P., Papaemmanuil, Elli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360033/
https://www.ncbi.nlm.nih.gov/pubmed/35941135
http://dx.doi.org/10.1038/s41467-022-32103-8
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author Tazi, Yanis
Arango-Ossa, Juan E.
Zhou, Yangyu
Bernard, Elsa
Thomas, Ian
Gilkes, Amanda
Freeman, Sylvie
Pradat, Yoann
Johnson, Sean J.
Hills, Robert
Dillon, Richard
Levine, Max F.
Leongamornlert, Daniel
Butler, Adam
Ganser, Arnold
Bullinger, Lars
Döhner, Konstanze
Ottmann, Oliver
Adams, Richard
Döhner, Hartmut
Campbell, Peter J.
Burnett, Alan K.
Dennis, Michael
Russell, Nigel H.
Devlin, Sean M.
Huntly, Brian J. P.
Papaemmanuil, Elli
author_facet Tazi, Yanis
Arango-Ossa, Juan E.
Zhou, Yangyu
Bernard, Elsa
Thomas, Ian
Gilkes, Amanda
Freeman, Sylvie
Pradat, Yoann
Johnson, Sean J.
Hills, Robert
Dillon, Richard
Levine, Max F.
Leongamornlert, Daniel
Butler, Adam
Ganser, Arnold
Bullinger, Lars
Döhner, Konstanze
Ottmann, Oliver
Adams, Richard
Döhner, Hartmut
Campbell, Peter J.
Burnett, Alan K.
Dennis, Michael
Russell, Nigel H.
Devlin, Sean M.
Huntly, Brian J. P.
Papaemmanuil, Elli
author_sort Tazi, Yanis
collection PubMed
description Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 molecular classes describing 100% of AML patients. Each class represents diverse biological AML subgroups, and is associated with distinct clinical presentation, likelihood of response to induction chemotherapy, risk of relapse and death over time. Secondary AML-2, emerges as the second largest class (24%), associates with high-risk disease, poor prognosis irrespective of flow Minimal Residual Disease (MRD) negativity, and derives significant benefit from transplantation. Guided by class membership we derive a 3-tier risk-stratification score that re-stratifies 26% of patients as compared to standard of care. This results in a unified framework for disease classification and risk-stratification in AML that relies on information from cytogenetics and 32 genes. Last, we develop an open-access patient-tailored clinical decision support tool.
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spelling pubmed-93600332022-08-10 Unified classification and risk-stratification in Acute Myeloid Leukemia Tazi, Yanis Arango-Ossa, Juan E. Zhou, Yangyu Bernard, Elsa Thomas, Ian Gilkes, Amanda Freeman, Sylvie Pradat, Yoann Johnson, Sean J. Hills, Robert Dillon, Richard Levine, Max F. Leongamornlert, Daniel Butler, Adam Ganser, Arnold Bullinger, Lars Döhner, Konstanze Ottmann, Oliver Adams, Richard Döhner, Hartmut Campbell, Peter J. Burnett, Alan K. Dennis, Michael Russell, Nigel H. Devlin, Sean M. Huntly, Brian J. P. Papaemmanuil, Elli Nat Commun Article Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 molecular classes describing 100% of AML patients. Each class represents diverse biological AML subgroups, and is associated with distinct clinical presentation, likelihood of response to induction chemotherapy, risk of relapse and death over time. Secondary AML-2, emerges as the second largest class (24%), associates with high-risk disease, poor prognosis irrespective of flow Minimal Residual Disease (MRD) negativity, and derives significant benefit from transplantation. Guided by class membership we derive a 3-tier risk-stratification score that re-stratifies 26% of patients as compared to standard of care. This results in a unified framework for disease classification and risk-stratification in AML that relies on information from cytogenetics and 32 genes. Last, we develop an open-access patient-tailored clinical decision support tool. Nature Publishing Group UK 2022-08-08 /pmc/articles/PMC9360033/ /pubmed/35941135 http://dx.doi.org/10.1038/s41467-022-32103-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Tazi, Yanis
Arango-Ossa, Juan E.
Zhou, Yangyu
Bernard, Elsa
Thomas, Ian
Gilkes, Amanda
Freeman, Sylvie
Pradat, Yoann
Johnson, Sean J.
Hills, Robert
Dillon, Richard
Levine, Max F.
Leongamornlert, Daniel
Butler, Adam
Ganser, Arnold
Bullinger, Lars
Döhner, Konstanze
Ottmann, Oliver
Adams, Richard
Döhner, Hartmut
Campbell, Peter J.
Burnett, Alan K.
Dennis, Michael
Russell, Nigel H.
Devlin, Sean M.
Huntly, Brian J. P.
Papaemmanuil, Elli
Unified classification and risk-stratification in Acute Myeloid Leukemia
title Unified classification and risk-stratification in Acute Myeloid Leukemia
title_full Unified classification and risk-stratification in Acute Myeloid Leukemia
title_fullStr Unified classification and risk-stratification in Acute Myeloid Leukemia
title_full_unstemmed Unified classification and risk-stratification in Acute Myeloid Leukemia
title_short Unified classification and risk-stratification in Acute Myeloid Leukemia
title_sort unified classification and risk-stratification in acute myeloid leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360033/
https://www.ncbi.nlm.nih.gov/pubmed/35941135
http://dx.doi.org/10.1038/s41467-022-32103-8
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