Literature DB >> 23646898

Core binding factor acute myeloid leukemia: the impact of age, leukocyte count, molecular findings, and minimal residual disease.

Montserrat Hoyos1,2, Josep F Nomdedeu1, Jordi Esteve1, Rafael Duarte1, Josep M Ribera1, Andreu Llorente1, Lourdes Escoda1, Javier Bueno1, Mar Tormo1, David Gallardo1, Maria Paz Queipo de Llano1, Josep M Martí1, Anna Aventín1, Ramón Mangues3, Salut Brunet1, Jorge Sierra1,4.   

Abstract

PURPOSE: Most patients with acute myeloid leukemia (AML) and genetic rearrangements involving the core binding factor (CBF) have favorable prognosis. In contrast, a minority of them still have a high risk of leukemia recurrence. This study investigated the adverse features of CBF AML that could justify investigational therapeutic approaches. PATIENTS AND METHODS: One hundred and fifty patients (median age 42 yr, range 16-69) with CBF AML (RUNX1-RUNX1T1 n = 74; CBFB-MYH11 n = 76) were prospectively enrolled into two consecutive CETLAM protocols at 19 Spanish institutions. Main clinic and biologic parameters were analyzed in the whole series. In non-selected cases with available DNA samples, the impact of molecular characterization and minimal residual disease (MRD) was also studied.
RESULTS: Overall, complete remission (CR) rate was 89% (94% in ≤50 yr old and 72% in >50 yr, P = 0.002). At 5 yr, cumulative incidence of relapse (CIR) was 26 ± 1%, disease-free survival (DFS) 62 ± 6%, and overall survival (OS) 66 ± 4%. In multivariate analyses, leukocyte count above 20 × 10(9) /L, BAALC over-expression, and high copy numbers of RUNX1-RUNXT1 or CBFB-MYH11 after induction chemotherapy (CT) led to increased relapse rate. Regarding OS, age >50 yr, leukocyte count above 20 × 10(9) /L, and increased MN1 expression were adverse features.
CONCLUSION: Age, leukocyte counts, BAALC, and MN1 gene expressions as well as high copy numbers of RUNX1-RUNXT1 or CBFB-MYH11 after induction chemotherapy are useful tools to predict the outcome and should be considered for risk-adapted therapy.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  acute myeloid leukemia; biologic and molecular prognostic factors; core binding factors

Mesh:

Substances:

Year:  2013        PMID: 23646898     DOI: 10.1111/ejh.12130

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   3.674


  16 in total

Review 1.  The who, how and why: Allogeneic transplant for acute myeloid leukemia in patients older than 60years.

Authors:  Sarah A Wall; Steven Devine; Sumithira Vasu
Journal:  Blood Rev       Date:  2017-07-15       Impact factor: 8.250

Review 2.  Minimal residual disease in acute myeloid leukemia--current status and future perspectives.

Authors:  Sabine Kayser; Roland B Walter; Wendy Stock; Richard F Schlenk
Journal:  Curr Hematol Malig Rep       Date:  2015-06       Impact factor: 3.952

3.  Myeloid translocation gene CBFA2T3 directs a relapse gene program and determines patient-specific outcomes in AML.

Authors:  Nickolas Steinauer; Chun Guo; Chunfa Huang; Madeline Wong; Yifan Tu; Carl E Freter; Jinsong Zhang
Journal:  Blood Adv       Date:  2019-05-14

4.  Population-based disparities in survival among patients with core-binding factor acute myeloid leukemia: a SEER database analysis.

Authors:  Andrew M Brunner; Traci M Blonquist; Hossein Sadrzadeh; Ashley M Perry; Eyal C Attar; Philip C Amrein; Karen K Ballen; Yi-Bin Chen; Donna S Neuberg; Amir T Fathi
Journal:  Leuk Res       Date:  2014-04-12       Impact factor: 3.156

Review 5.  Clinical implications of molecular markers in acute myeloid leukemia.

Authors:  Sabine Kayser; Mark J Levis
Journal:  Eur J Haematol       Date:  2018-10-23       Impact factor: 2.997

6.  Core-binding factor acute myeloid leukemia with inv(16): Older age and high white blood cell count are risk factors for treatment failure.

Authors:  Celalettin Ustun; Elizabeth A Morgan; Ethan M Ritz; Hanne Vestergaard; Sheeja Pullarkat; Philip M Kluin; Robert Ohgami; Linda B Baughn; Young Kim; Nam K Ku; David Czuchlewski; Michael Boe Møller; Ana-Iris Schiefer; Krzysztof Mrózek; Hans-Peter Horny; Tracy I George; Thomas Kielsgaard Kristensen; Todd Beck; Sunita Nathan; Cecilia Arana Yi; Cecilia Yeung; Vinod Pullarkat; Jason Gotlib; Cem Akin; Jessica Kohlschmidt; Amandeep Salhotra; Lori Soma; Dong Chen; Se Y Han; Christina Cho; Wolfgang Sperr; Sigurd Broesby-Olsen; Michael A Linden; Michelle Dolan; Gregor Hoermann; Jason L Hornick; Clara Bloomfield; Ryo Nakamura; H Joachim Deeg; Mark R Litzow; Gautam Borthakur; Daniel Weisdorf; Gerwin Huls; Miguel-Angel Perales; Peter Valent; Guido Marcucci
Journal:  Int J Lab Hematol       Date:  2020-09-14       Impact factor: 2.877

7.  Application of GATA-3 gene marker in the detection of hematologic disorders in children.

Authors:  Fenghua Wang; Lili Bie
Journal:  Exp Ther Med       Date:  2017-12-12       Impact factor: 2.447

8.  Low WT1 transcript levels at diagnosis predicted poor outcomes of acute myeloid leukemia patients with t(8;21) who received chemotherapy or allogeneic hematopoietic stem cell transplantation.

Authors:  Ya-Zhen Qin; Yu Wang; Hong-Hu Zhu; Robert Peter Gale; Mei-Jie Zhang; Qian Jiang; Hao Jiang; Lan-Ping Xu; Huan Chen; Xiao-Hui Zhang; Yan-Rong Liu; Yue-Yun Lai; Bin Jiang; Kai-Yan Liu; Xiao-Jun Huang
Journal:  Chin J Cancer       Date:  2016-05-19

Review 9.  'Acute myeloid leukemia: a comprehensive review and 2016 update'.

Authors:  I De Kouchkovsky; M Abdul-Hay
Journal:  Blood Cancer J       Date:  2016-07-01       Impact factor: 11.037

10.  Combination of White Blood Cell Count at Presentation With Molecular Response at 3 Months Better Predicts Deep Molecular Responses to Imatinib in Newly Diagnosed Chronic-Phase Chronic Myeloid Leukemia Patients.

Authors:  Ya-Zhen Qin; Qian Jiang; Hao Jiang; Yue-Yun Lai; Hong-Hu Zhu; Yan-Rong Liu; Bin Jiang; Xiao-Jun Huang
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.