IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0093353.html
   My bibliography  Save this article

Association between DNMT3A Mutations and Prognosis of Adults with De Novo Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis

Author

Listed:
  • Ruxiu Tie
  • Tiansong Zhang
  • Huarui Fu
  • Limengmeng Wang
  • Yebo Wang
  • Ying He
  • Binsheng Wang
  • Ni Zhu
  • Shan Fu
  • Xiaoyu Lai
  • Jimin Shi
  • He Huang

Abstract

Background: DNA methyltransferase 3A (DNMT3A) mutations were considered to be independently associated with unfavorable prognosis in adults with de novo acute myeloid leukemia (AML), however, there are still debates on this topic. Here, we aim to further investigate the association between DNMT3A mutations and prognosis of patients with AML. Methods: Eligible studies were identified from several data bases including PubMed, Embase, Web of Science, ClinicalTrials and the Cochrane Library (up to June 2013). The primary endpoint was overall survival (OS), while relapse-free survival (RFS) and event-free survival (EFS) were chosen as secondary endpoints. If possible, we would pool estimate effects (hazard ratio [HR] with 95% confidence interval[CI]) of outcomes in random and fixed effects models respectively. Results: That twelve cohort studies with 6377 patients exploring the potential significance of DNMT3A mutations on prognosis were included. Patients with DNMT3A mutations had slightly shorter OS (HR = 1.60; 95% CI, 1.31–1.95; P

Suggested Citation

  • Ruxiu Tie & Tiansong Zhang & Huarui Fu & Limengmeng Wang & Yebo Wang & Ying He & Binsheng Wang & Ni Zhu & Shan Fu & Xiaoyu Lai & Jimin Shi & He Huang, 2014. "Association between DNMT3A Mutations and Prognosis of Adults with De Novo Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    • Handle: RePEc:plo:pone00:0093353
    DOI: 10.1371/journal.pone.0093353
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0093353
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093353&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0093353?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tom M. Palmer & Jaime L. Peters & Alex J. Sutton & Santiago G. Moreno, 2008. "Contour-enhanced funnel plots for meta-analysis," Stata Journal, StataCorp LP, vol. 8(2), pages 242-254, June.
    2. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    2. Chun-Yu Chang & Po-Chen Lin & Yung-Jiun Chien & Chien-Sheng Chen & Meng-Yu Wu, 2020. "Analysis of Chest-Compression Depth and Full Recoil in Two Infant Chest-Compression Techniques Performed by a Single Rescuer: Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    3. Ivan Ropovik & Matus Adamkovic & David Greger, 2021. "Neglect of publication bias compromises meta-analyses of educational research," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-14, June.
    4. Xiaoli Liu & Guichuan Huang & Jing Zhang & Longju Zhang & Zongan Liang, 2020. "Prognostic and clinicopathological significance of long noncoding RNA MALAT-1 expression in patients with non-small cell lung cancer: A meta-analysis," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-16, October.
    5. Alaybek, Balca & Dalal, Reeshad S. & Fyffe, Shea & Aitken, John A. & Zhou, You & Qu, Xiao & Roman, Alexis & Baines, Julia I., 2022. "All’s well that ends (and peaks) well? A meta-analysis of the peak-end rule and duration neglect," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
    6. O'Boyle, Ernest H. & Rutherford, Matthew W. & Banks, George C., 2014. "Publication bias in entrepreneurship research: An examination of dominant relations to performance," Journal of Business Venturing, Elsevier, vol. 29(6), pages 773-784.
    7. Li, Haoru & Mei, Xurong & Wang, Jiandong & Huang, Feng & Hao, Weiping & Li, Baoguo, 2021. "Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China," Agricultural Water Management, Elsevier, vol. 244(C).
    8. Monica L Joustra & Isidor Minovic & Karin A M Janssens & Stephan J L Bakker & Judith G M Rosmalen, 2017. "Vitamin and mineral status in chronic fatigue syndrome and fibromyalgia syndrome: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-25, April.
    9. Michael J. Crowther & Dean Langan & Alex J. Sutton, 2012. "Graphical augmentations to the funnel plot to assess the impact of a new study on an existing meta-analysis," Stata Journal, StataCorp LP, vol. 12(4), pages 605-622, December.
    10. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    11. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    12. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    13. Wolfgang Goymann & John C. Wingfield, 2014. "Male-to-female testosterone ratios, dimorphism, and life history—what does it really tell us?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(4), pages 685-699.
    14. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    15. Daniele Zago & Maria Eugênia Andrighetto Canozzi & Júlio Otávio Jardim Barcellos, 2020. "Pregnant beef cow’s nutrition and its effects on postnatal weight and carcass quality of their progeny," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    16. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    17. Angélica Pigola & Priscila Rezende Costa, 2022. "In search of understanding about knowledge and learning on innovation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3995-4022, July.
    18. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    19. Chuang Yuan & Jing Wang & Michael Ying, 2016. "Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    20. Francisco Javier Blanco-Encomienda & Rocío García-Cantero & María José Latorre-Medina, 2020. "Association between Work-Related Rumination, Work Environment and Employee Well-Being: A Meta-Analytic Study of Main and Moderator Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 887-910, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0093353. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.