Literature DB >> 31742675

Impact of the variant allele frequency of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 on the outcomes of patients with newly diagnosed acute myeloid leukemia.

Koji Sasaki1,2, Rashmi Kanagal-Shamanna3, Guillermo Montalban-Bravo1, Rita Assi1,4, Elias Jabbour1, Farhad Ravandi1, Tapan Kadia1, Sherry Pierce1, Koichi Takahashi1, Graciela Nogueras Gonzalez5, Keyur Patel3, Kelly A Soltysiak1, Jorge Cortes1, Hagop M Kantarjian1, Guillermo Garcia-Manero1.   

Abstract

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.
© 2019 American Cancer Society.

Entities:  

Keywords:  zzm321990ASXL1zzm321990; zzm321990DNMT3Azzm321990; zzm321990JAK2zzm321990; zzm321990TET2zzm321990; zzm321990TP53zzm321990; acute myeloid leukemia

Mesh:

Substances:

Year:  2019        PMID: 31742675     DOI: 10.1002/cncr.32566

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  16 in total

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3.  Survival of Older Adults With Newly Diagnosed Acute Myeloid Leukemia: Effect of Using Multiagent Versus Single-agent Chemotherapy.

Authors:  Vijaya R Bhatt; Valerie Shostrom; Sarah A Holstein; Zaid S Al-Kadhimi; Lori J Maness; Ann Berger; James O Armitage; Krishna Gundabolu
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4.  Integrative Genomic Analysis Reveals Cancer-Associated Gene Mutations in Chronic Myeloid Leukemia Patients with Resistance or Intolerance to Tyrosine Kinase Inhibitor.

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5.  Eprenetapopt (APR-246) and Azacitidine in TP53-Mutant Myelodysplastic Syndromes.

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
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6.  Prognostic and therapeutic impacts of mutant TP53 variant allelic frequency in newly diagnosed acute myeloid leukemia.

Authors:  Nicholas J Short; Guillermo Montalban-Bravo; Hyunsoo Hwang; Jing Ning; Miguel J Franquiz; Rashmi Kanagal-Shamanna; Keyur P Patel; Courtney D DiNardo; Farhad Ravandi; Guillermo Garcia-Manero; Koichi Takahashi; Marina Konopleva; Naval Daver; Ghayas C Issa; Michael Andreeff; Hagop Kantarjian; Tapan M Kadia
Journal:  Blood Adv       Date:  2020-11-24

Review 7.  Acute myeloid leukemia: current progress and future directions.

Authors:  Hagop Kantarjian; Tapan Kadia; Courtney DiNardo; Naval Daver; Gautam Borthakur; Elias Jabbour; Guillermo Garcia-Manero; Marina Konopleva; Farhad Ravandi
Journal:  Blood Cancer J       Date:  2021-02-22       Impact factor: 11.037

Review 8.  Alterations to DNMT3A in Hematologic Malignancies.

Authors:  Kartika Venugopal; Yang Feng; Daniil Shabashvili; Olga A Guryanova
Journal:  Cancer Res       Date:  2020-10-21       Impact factor: 13.312

9.  Machine learning algorithm improved automated droplet classification of ddPCR for detection of BRAF V600E in paraffin-embedded samples.

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

Review 10.  3+7 Combined Chemotherapy for Acute Myeloid Leukemia: Is It Time to Say Goodbye?

Authors:  Kenny Tang; Andre C Schuh; Karen Wl Yee
Journal:  Curr Oncol Rep       Date:  2021-08-04       Impact factor: 5.075

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