Literature DB >> 25227715

Favorable prognosis of biallelic CEBPA gene mutations in acute myeloid leukemia patients: a meta-analysis.

Hong-Ying Li1, Dong-Hong Deng, Ying Huang, Fang-Hui Ye, Lu-Lu Huang, Qiang Xiao, Bing Zhang, Bing-Bing Ye, Yong-Rong Lai, Zeng-Nan Mo, Zhen-Fang Liu.   

Abstract

OBJECTIVES: Increasing number of studies suggested that biallelic CEBPA (bi CEBPA) mutations were associated with favorable prognosis in patients with acute myeloid leukemia (AML), but the results remain inconclusive. We therefore present a meta-analysis to evaluate the prognostic value of bi CEBPA mutations in patients with AML.
METHODS: A comprehensive literature search was undertaken through August 2014 looking for eligible studies. Pooled hazard ratios (HRs) estimates and 95% confidence intervals (95% CIs) in overall survival (OS) and event-free survival (EFS) were used to calculate estimated effect.
RESULTS: Ten studies covering a total of 6219 subjects were included in this analysis. Overall, bi CEBPA mutations were associated with favorable clinical outcome in patients with AML (HR for EFS: 0.41, 95% CI: 0.32-0.52; for OS: 0.37, 95% CI: 0.27-0.50), in cytogenetically normal (CN)-AML (HR for EFS: 0.38, 95% CI: 0.29-0.49; for OS: 0.32, 95% CI: 0.23-0.43). When took the cohort of monoallelic CEBPA (mo CEBPA) mutated and wild-type CEBPA (wt CEBPA) AML as a reference group, bi CEBPA mutated AML also shown beneficial outcomes (HR for OS: 0.52, 95% CI: 0.37-0.72). No significant difference was found between mo CEBPA mutation and wt CEBPA in patients with AML or CN-AML (P > 0.05).
CONCLUSION: Bi CEBPA mutations in patients with AML are strongly associated with a favorable prognosis, which suggested that bi CEBPA mutations would potentially serve as a novel prognostic marker in AML.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Acute myeloid leukemia; biallelic CEBPA mutations; meta-analysis; prognosis

Mesh:

Substances:

Year:  2015        PMID: 25227715     DOI: 10.1111/ejh.12450

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   2.997


  16 in total

1.  Complex molecular genetic abnormalities involving three or more genetic mutations are important prognostic factors for acute myeloid leukemia.

Authors:  S Wakita; H Yamaguchi; T Ueki; K Usuki; S Kurosawa; Y Kobayashi; E Kawata; K Tajika; S Gomi; M Koizumi; Y Fujiwara; S Yui; K Fukunaga; T Ryotokuji; T Hirakawa; K Arai; T Kitano; F Kosaka; H Tamai; K Nakayama; T Fukuda; K Inokuchi
Journal:  Leukemia       Date:  2015-10-21       Impact factor: 11.528

Review 2.  Acute Myeloid Leukemia: from Mutation Profiling to Treatment Decisions.

Authors:  Courtney DiNardo; Curtis Lachowiez
Journal:  Curr Hematol Malig Rep       Date:  2019-10       Impact factor: 3.952

Review 3.  Germ line mutations associated with leukemias.

Authors:  Christopher C Porter
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2016-12-02

4.  Identification of novel CEBPA double mutations capable of promoting familial AML via the suppression of myeloid differentiation.

Authors:  Yunjing Zheng; Hui Zhang; Qin Lu; Xinran Chu; Li Gao; Peifang Xiao; Jian Pan; Shaoyan Hu
Journal:  Am J Transl Res       Date:  2020-10-15       Impact factor: 4.060

Review 5.  Data mining for mutation-specific targets in acute myeloid leukemia.

Authors:  Brooks Benard; Andrew J Gentles; Thomas Köhnke; Ravindra Majeti; Daniel Thomas
Journal:  Leukemia       Date:  2019-02-06       Impact factor: 11.528

6.  High expression of RUNX1 is associated with poorer outcomes in cytogenetically normal acute myeloid leukemia.

Authors:  Lin Fu; Huaping Fu; Lei Tian; Keman Xu; Kai Hu; Jing Wang; Jijun Wang; Hongmei Jing; Jinlong Shi; Xiaoyan Ke
Journal:  Oncotarget       Date:  2016-03-29

Review 7.  Molecular Mutations and Their Cooccurrences in Cytogenetically Normal Acute Myeloid Leukemia.

Authors:  Mengning Wang; Chuanwei Yang; Le Zhang; Dale G Schaar
Journal:  Stem Cells Int       Date:  2017-01-19       Impact factor: 5.443

Review 8.  Molecular Genetic Markers in Acute Myeloid Leukemia.

Authors:  Sophia Yohe
Journal:  J Clin Med       Date:  2015-03-12       Impact factor: 4.241

9.  Current practices and guidelines for clinical next-generation sequencing oncology testing.

Authors:  Samuel P Strom
Journal:  Cancer Biol Med       Date:  2016-03       Impact factor: 4.248

Review 10.  '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

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