BACKGROUND: The impact of the allelic burden of ASXL1, DNMT3A, JAK2, TET2, and TP53 mutations on survival remains unclear in patients with newly diagnosed acute myeloid leukemia (AML). METHODS: The authors assessed bone marrow aspirates from 421 patients with newly diagnosed AML using next-generation sequencing for ASXL1, DNMT3A, JAK2, TET2, and TP53 mutations, defined as the presence of mutations in ASXL1, DNMT3A, JAK2, TET2, or TP53 with a minimum variant allele frequency (VAF) of 5%. RESULTS: A total of 71 patients (17%) had ASXL1 mutations, 104 patients (25%) had DNMT3A mutations, 16 patients (4%) had JAK2 mutations, 82 patients (20%) had TET2 mutations, and 86 patients (20%) had TP53 mutations. Among patients with each mutation, the median VAF of ASXL1 was 34.31% (range, 1.17%-58.62%), the median VAF of DNMT3A was 41.76% (range, 1.02%-91.66%), the median VAF of JAK2 was 46.70% (range, 10.4%-71.7%), the median VAF of TET2 was 42.78% (range, 2.26%-95.32%), and the median VAF of TP53 was 45.47% (range, 1.15%-93.74%). The composite complete response rate was 60%, and was 77% in patients with AML with and without ASXL1, DNMT3A, JAK2, TET2, or TP53 mutations, respectively (P = .006); the median overall survival was 11 months and 27 months, respectively (P < .001). Multivariate analysis identified age; an antecedent history of dysplasia; white blood cell count; adverse cytogenetic risk; previous treatment with an FLT3 inhibitor; and the VAF of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 mutations by next-generation sequencing as prognostic factors for overall survival. CONCLUSIONS: The VAF of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 mutations is associated with worse prognosis in patients with newly diagnosed AML.
BACKGROUND: The impact of the allelic burden of ASXL1, DNMT3A, JAK2, TET2, and TP53 mutations on survival remains unclear in patients with newly diagnosed acute myeloid leukemia (AML). METHODS: The authors assessed bone marrow aspirates from 421 patients with newly diagnosed AML using next-generation sequencing for ASXL1, DNMT3A, JAK2, TET2, and TP53 mutations, defined as the presence of mutations in ASXL1, DNMT3A, JAK2, TET2, or TP53 with a minimum variant allele frequency (VAF) of 5%. RESULTS: A total of 71 patients (17%) had ASXL1 mutations, 104 patients (25%) had DNMT3A mutations, 16 patients (4%) had JAK2 mutations, 82 patients (20%) had TET2 mutations, and 86 patients (20%) had TP53 mutations. Among patients with each mutation, the median VAF of ASXL1 was 34.31% (range, 1.17%-58.62%), the median VAF of DNMT3A was 41.76% (range, 1.02%-91.66%), the median VAF of JAK2 was 46.70% (range, 10.4%-71.7%), the median VAF of TET2 was 42.78% (range, 2.26%-95.32%), and the median VAF of TP53 was 45.47% (range, 1.15%-93.74%). The composite complete response rate was 60%, and was 77% in patients with AML with and without ASXL1, DNMT3A, JAK2, TET2, or TP53 mutations, respectively (P = .006); the median overall survival was 11 months and 27 months, respectively (P < .001). Multivariate analysis identified age; an antecedent history of dysplasia; white blood cell count; adverse cytogenetic risk; previous treatment with an FLT3 inhibitor; and the VAF of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 mutations by next-generation sequencing as prognostic factors for overall survival. CONCLUSIONS: The VAF of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 mutations is associated with worse prognosis in patients with newly diagnosed AML.
Authors: Vijaya R Bhatt; Valerie Shostrom; Sarah A Holstein; Zaid S Al-Kadhimi; Lori J Maness; Ann Berger; James O Armitage; Krishna Gundabolu Journal: Clin Lymphoma Myeloma Leuk Date: 2020-02-04
Authors: David A Sallman; Amy E DeZern; Guillermo Garcia-Manero; David P Steensma; Gail J Roboz; Mikkael A Sekeres; Thomas Cluzeau; Kendra L Sweet; Amy McLemore; Kathy L McGraw; John Puskas; Ling Zhang; Jiqiang Yao; Qianxing Mo; Lisa Nardelli; Najla H Al Ali; Eric Padron; Greg Korbel; Eyal C Attar; Hagop M Kantarjian; Jeffrey E Lancet; Pierre Fenaux; Alan F List; Rami S Komrokji Journal: J Clin Oncol Date: 2021-01-15 Impact factor: 44.544
Authors: Gabriel A Colozza-Gama; Fabiano Callegari; Nikola Bešič; Ana Carolina de J Paniza; Janete M Cerutti Journal: Sci Rep Date: 2021-06-16 Impact factor: 4.379