Cargando…

Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia

The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18–86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Rausch, Christian, Rothenberg-Thurley, Maja, Dufour, Annika, Schneider, Stephanie, Gittinger, Hanna, Sauerland, Cristina, Görlich, Dennis, Krug, Utz, Berdel, Wolfgang E., Woermann, Bernhard J., Hiddemann, Wolfgang, Braess, Jan, von Bergwelt-Baildon, Michael, Spiekermann, Karsten, Herold, Tobias, Metzeler, Klaus H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244159/
https://www.ncbi.nlm.nih.gov/pubmed/37041198
http://dx.doi.org/10.1038/s41375-023-01884-2
_version_ 1785054574840643584
author Rausch, Christian
Rothenberg-Thurley, Maja
Dufour, Annika
Schneider, Stephanie
Gittinger, Hanna
Sauerland, Cristina
Görlich, Dennis
Krug, Utz
Berdel, Wolfgang E.
Woermann, Bernhard J.
Hiddemann, Wolfgang
Braess, Jan
von Bergwelt-Baildon, Michael
Spiekermann, Karsten
Herold, Tobias
Metzeler, Klaus H.
author_facet Rausch, Christian
Rothenberg-Thurley, Maja
Dufour, Annika
Schneider, Stephanie
Gittinger, Hanna
Sauerland, Cristina
Görlich, Dennis
Krug, Utz
Berdel, Wolfgang E.
Woermann, Bernhard J.
Hiddemann, Wolfgang
Braess, Jan
von Bergwelt-Baildon, Michael
Spiekermann, Karsten
Herold, Tobias
Metzeler, Klaus H.
author_sort Rausch, Christian
collection PubMed
description The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18–86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 and compared ELN-2022 to the previous ELN-2017 risk classification. Key findings were validated in a cohort of 1160 mostly younger patients. ELN-2022 reclassified 15% of patients, 3% into more favorable, and 12% into more adverse risk groups. This was mainly driven by patients reclassified from intermediate- to adverse-risk based on additional myelodysplasia-related mutations being included as adverse-risk markers. These patients (n = 79) had significantly better outcomes than patients with other adverse-risk genotypes (5-year OS, 26% vs. 12%) and resembled the remaining intermediate-risk group. Overall, time-dependent ROC curves and Harrel’s C-index controlling for age, sex, and AML type (de novo vs. sAML/tAML) show slightly worse prognostic discrimination of ELN-2022 compared to ELN-2017 for OS. Further refinement of ELN-2022 without including additional genetic markers is possible, in particular by recognizing TP53-mutated patients with complex karyotypes as “very adverse”. In summary, the ELN-2022 risk classification identifies a larger group of adverse-risk patients at the cost of slightly reduced prognostic accuracy compared to ELN-2017.
format Online
Article
Text
id pubmed-10244159
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-102441592023-06-08 Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia Rausch, Christian Rothenberg-Thurley, Maja Dufour, Annika Schneider, Stephanie Gittinger, Hanna Sauerland, Cristina Görlich, Dennis Krug, Utz Berdel, Wolfgang E. Woermann, Bernhard J. Hiddemann, Wolfgang Braess, Jan von Bergwelt-Baildon, Michael Spiekermann, Karsten Herold, Tobias Metzeler, Klaus H. Leukemia Article The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18–86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 and compared ELN-2022 to the previous ELN-2017 risk classification. Key findings were validated in a cohort of 1160 mostly younger patients. ELN-2022 reclassified 15% of patients, 3% into more favorable, and 12% into more adverse risk groups. This was mainly driven by patients reclassified from intermediate- to adverse-risk based on additional myelodysplasia-related mutations being included as adverse-risk markers. These patients (n = 79) had significantly better outcomes than patients with other adverse-risk genotypes (5-year OS, 26% vs. 12%) and resembled the remaining intermediate-risk group. Overall, time-dependent ROC curves and Harrel’s C-index controlling for age, sex, and AML type (de novo vs. sAML/tAML) show slightly worse prognostic discrimination of ELN-2022 compared to ELN-2017 for OS. Further refinement of ELN-2022 without including additional genetic markers is possible, in particular by recognizing TP53-mutated patients with complex karyotypes as “very adverse”. In summary, the ELN-2022 risk classification identifies a larger group of adverse-risk patients at the cost of slightly reduced prognostic accuracy compared to ELN-2017. Nature Publishing Group UK 2023-04-11 2023 /pmc/articles/PMC10244159/ /pubmed/37041198 http://dx.doi.org/10.1038/s41375-023-01884-2 Text en © The Author(s) 2023 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
Rausch, Christian
Rothenberg-Thurley, Maja
Dufour, Annika
Schneider, Stephanie
Gittinger, Hanna
Sauerland, Cristina
Görlich, Dennis
Krug, Utz
Berdel, Wolfgang E.
Woermann, Bernhard J.
Hiddemann, Wolfgang
Braess, Jan
von Bergwelt-Baildon, Michael
Spiekermann, Karsten
Herold, Tobias
Metzeler, Klaus H.
Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title_full Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title_fullStr Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title_full_unstemmed Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title_short Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia
title_sort validation and refinement of the 2022 european leukemianet genetic risk stratification of acute myeloid leukemia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244159/
https://www.ncbi.nlm.nih.gov/pubmed/37041198
http://dx.doi.org/10.1038/s41375-023-01884-2
work_keys_str_mv AT rauschchristian validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT rothenbergthurleymaja validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT dufourannika validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT schneiderstephanie validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT gittingerhanna validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT sauerlandcristina validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT gorlichdennis validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT krugutz validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT berdelwolfgange validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT woermannbernhardj validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT hiddemannwolfgang validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT braessjan validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT vonbergweltbaildonmichael validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT spiekermannkarsten validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT heroldtobias validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia
AT metzelerklaush validationandrefinementofthe2022europeanleukemianetgeneticriskstratificationofacutemyeloidleukemia