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      Validation and refinement of the revised 2017 European LeukemiaNet genetic risk stratification of acute myeloid leukemia

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          Abstract

          The revised 2017 European LeukemiaNet (ELN) recommendations for genetic risk stratification of acute myeloid leukemia have been widely adopted, but have not yet been validated in large cohorts of AML patients. We studied 1116 newly diagnosed AML patients (age range, 18–86 years) who had received induction chemotherapy. Among 771 patients not selected by genetics, the ELN-2017 classification re-assigned 26.5% of patients into a more favorable or, more commonly, a more adverse-risk group compared with the ELN-2010 recommendations. Forty percent of the cohort, and 51% of patients ≥60 years, were classified as adverse-risk by ELN-2017. In 599 patients <60 years, estimated 5-year overall survival (OS) was 64% for ELN-2017 favorable, 42% for intermediate-risk and 20% for adverse-risk patients. Among 517 patients aged ≥60 years, corresponding 5-year OS rates were 37, 16, and 6%. Patients with biallelic CEBPA mutations or inv(16) had particularly favorable outcomes, while patients with mutated TP53 and a complex karyotype had especially poor prognosis. DNMT3A mutations associated with inferior OS within each ELN-2017 risk group. Our results validate the prognostic significance of the revised ELN-2017 risk classification in AML patients receiving induction chemotherapy across a broad age range. Further refinement of the ELN-2017 risk classification is possible.

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          Most cited references45

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          Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel.

          The first edition of the European LeukemiaNet (ELN) recommendations for diagnosis and management of acute myeloid leukemia (AML) in adults, published in 2010, has found broad acceptance by physicians and investigators caring for patients with AML. Recent advances, for example, in the discovery of the genomic landscape of the disease, in the development of assays for genetic testing and for detecting minimal residual disease (MRD), as well as in the development of novel antileukemic agents, prompted an international panel to provide updated evidence- and expert opinion-based recommendations. The recommendations include a revised version of the ELN genetic categories, a proposal for a response category based on MRD status, and criteria for progressive disease.
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            Genomic Classification and Prognosis in Acute Myeloid Leukemia

            New England Journal of Medicine, 374(23), 2209-2221
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              Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks.

              The area under the time-dependent ROC curve (AUC) may be used to quantify the ability of a marker to predict the onset of a clinical outcome in the future. For survival analysis with competing risks, two alternative definitions of the specificity may be proposed depending of the way to deal with subjects who undergo the competing events. In this work, we propose nonparametric inverse probability of censoring weighting estimators of the AUC corresponding to these two definitions, and we study their asymptotic properties. We derive confidence intervals and test statistics for the equality of the AUCs obtained with two markers measured on the same subjects. A simulation study is performed to investigate the finite sample behaviour of the test and the confidence intervals. The method is applied to the French cohort PAQUID to compare the abilities of two psychometric tests to predict dementia onset in the elderly accounting for death without dementia competing risk. The 'timeROC' R package is provided to make the methodology easily usable. Copyright © 2013 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                klaus.metzeler@med.uni-muenchen.de
                Journal
                Leukemia
                Leukemia
                Leukemia
                Nature Publishing Group UK (London )
                0887-6924
                1476-5551
                30 March 2020
                30 March 2020
                2020
                : 34
                : 12
                : 3161-3172
                Affiliations
                [1 ]Laboratory for Leukemia Diagnostics, Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
                [2 ]German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
                [3 ]GRID grid.7497.d, ISNI 0000 0004 0492 0584, German Cancer Research Center (DKFZ), ; Heidelberg, Germany
                [4 ]GRID grid.4567.0, ISNI 0000 0004 0483 2525, Research Unit Apoptosis in Hematopoietic Stem Cells, Helmholtz Zentrum München, German Research Center for Environmental Health (HMGU), ; Munich, Germany
                [5 ]GRID grid.5949.1, ISNI 0000 0001 2172 9288, Institute of Biostatistics and Clinical Research, Westfälische Wilhelms-Universität Münster, ; Münster, Germany
                [6 ]GRID grid.9654.e, ISNI 0000 0004 0372 3343, Department of Molecular Medicine and Pathology, , University of Auckland, ; Auckland, New Zealand
                [7 ]Department of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany
                [8 ]GRID grid.6363.0, ISNI 0000 0001 2218 4662, Charité University Hospital Berlin, ; Berlin, Germany
                [9 ]Hospital Leverkusen, Leverkusen, Germany
                [10 ]GRID grid.16149.3b, ISNI 0000 0004 0551 4246, Department of Medicine A, , University Hospital Münster, ; Münster, Germany
                Author information
                http://orcid.org/0000-0002-9615-9432
                http://orcid.org/0000-0002-2202-9088
                http://orcid.org/0000-0003-3920-7490
                Article
                806
                10.1038/s41375-020-0806-0
                7685975
                32231256
                2a78e1db-9322-4b81-b430-5d14dd330f6a
                © 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/.

                History
                : 29 February 2020
                : 10 March 2020
                : 13 March 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/100008672, Wilhelm Sander-Stiftung (Wilhelm Sander Foundation);
                Award ID: 2013.086
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: DFG SFB 1243
                Award ID: DFG SFB 1243
                Award ID: DFG SFB 1243
                Award ID: DFG SFB 1243
                Award ID: DFG SFB 1243
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100008594, European Hematology Association (EHA);
                Award ID: Clinical Research Fellowship
                Award Recipient :
                Categories
                Article
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                © Springer Nature Limited 2020

                Oncology & Radiotherapy
                acute myeloid leukaemia,risk factors,translational research,genetics research,cancer genetics

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