Spectrum and prognostic relevance of driver gene mutations in acute myeloid leukemia

Klaus H. Metzeler(German Cancer Research Center), Tobias Herold(German Cancer Research Center), Maja Rothenberg‐Thurley, Susanne Amler(University of Münster), Maria C. Sauerland(University of Münster), Dennis Görlich(University of Münster), Stephanie Schneider, Nikola P. Konstandin, Annika Dufour, Kathrin Bräundl(German Cancer Research Center), Bianka Ksienzyk, Evelyn Zellmeier, Luise Hartmann(German Cancer Research Center), Philipp A. Greif(German Cancer Research Center), Michael Fiegl, Marion Subklewe(German Cancer Research Center), Stefan K. Bohlander(University of Auckland), Utz Krug(Klinikum Leverkusen), Andreas Faldum(University of Münster), Wolfgang E. Berdel(University of Münster), Bernhard Wörmann(Charité - Universitätsmedizin Berlin), Thomas Büchner(University of Münster), Wolfgang Hiddemann(German Cancer Research Center), Jan Braess(Krankenhaus Barmherzige Brüder), Karsten Spiekermann(German Cancer Research Center)
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Abstract

The clinical and prognostic relevance of many recently identified driver gene mutations in adult acute myeloid leukemia (AML) is poorly defined. We sequenced the coding regions or hotspot areas of 68 recurrently mutated genes in a cohort of 664 patients aged 18 to 86 years treated on 2 phase 3 trials of the German AML Cooperative Group (AMLCG). The median number of 4 mutations per patient varied according to cytogenetic subgroup, age, and history of previous hematologic disorder or antineoplastic therapy. We found patterns of significantly comutated driver genes suggesting functional synergism. Conversely, we identified 8 virtually nonoverlapping patient subgroups, jointly comprising 78% of AML patients, that are defined by mutually exclusive genetic alterations. These subgroups, likely representing distinct underlying pathways of leukemogenesis, show widely divergent outcomes. Furthermore, we provide detailed information on associations between gene mutations, clinical patient characteristics, and therapeutic outcomes in this large cohort of uniformly treated AML patients. In multivariate analyses including a comprehensive set of molecular and clinical variables, we identified DNMT3A and RUNX1 mutations as important predictors of shorter overall survival (OS) in AML patients <60 years, and particularly in those with intermediate-risk cytogenetics. NPM1 mutations in the absence of FLT3-ITD, mutated TP53, and biallelic CEBPA mutations were identified as important molecular prognosticators of OS irrespective of patient age. In summary, our study provides a comprehensive overview of the spectrum, clinical associations, and prognostic relevance of recurrent driver gene mutations in a large cohort representing a broad spectrum and age range of intensively treated AML patients.


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