4.7 Article

Mutations of Epigenetic Modifier Genes as a Poor Prognostic Factor in Acute Promyelocytic Leukemia Under Treatment With All-Trans Retinoic Acid and Arsenic Trioxide

期刊

EBIOMEDICINE
卷 2, 期 6, 页码 563-571

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ebiom.2015.04.006

关键词

Acute promyelocytic leukemia; Epigenetic; Prognosis; Mutation

资金

  1. Chinese National Key Basic Research Project 973 Grant [2013CB966800]
  2. Mega-projects of Science Research for the 12th Five-Year Plan [2013ZX09303302]
  3. State Key Laboratories Project of Excellence Grant [81123005]
  4. Ministry of Health [201202003]
  5. National Natural Science Foundation of China [81370653]
  6. National Clinical research Base construction Projects of Traditional Medicine [2012H01]
  7. Samuel Waxman Cancer Research Foundation Co-PI Program

向作者/读者索取更多资源

Background: Acute promyelocytic leukemia (APL) is a model for synergistic target cancer therapy using all-trans retinoic acid (ATRA) and arsenic trioxide (ATO), which yields a very high 5-year overall survival (OS) rate of 85 to 90%. Nevertheless, about 15% of APL patients still get early death or relapse. We performed this study to address the possible impact of additional gene mutations on the outcome of APL. Methods: We included a consecutive series of 266 cases as training group, and then validated the results in a testing group of 269 patients to investigate the potential prognostic gene mutations, including FLT3-ITD or -TKD, N-RAS, C-KIT, NPM1, CEPBA, WT1, ASXL1, DNMT3A, MLL (fusions and PTD), IDH1, IDH2 and TET2. Results: More high-risk patients (50.4%) carried additional mutations, as compared with intermediate-and low-risk ones. The mutations of epigenetic modifier genes were associated with poor prognosis in terms of disease-free survival in both training (HR = 6.761, 95% CI 2.179-20.984; P = 0.001) and validation (HR = 4.026, 95% CI 1.089-14.878; P = 0.037) groups. Sanz risk stratification was associated with CR induction and OS. Conclusion: In an era of ATRA/ATO treatment, both molecular markers and clinical parameter based stratification systems should be used as prognostic factors for APL. (C) 2015 The Authors. Published by Elsevier B.V.

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