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Comprehensive review and evaluation of computational methods for identifying FLT3-internal tandem duplication in acute myeloid leukaemia

期刊

BRIEFINGS IN BIOINFORMATICS
卷 22, 期 5, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbab099

关键词

acute myeloid leukaemia; FLT3-ITD; next-generation sequencing; bioinformatics

资金

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB38040100]
  2. National Natural Science Foundation of China [31771466]
  3. Cancer Genome Atlas of China (CGAC) project from the National Human Genetic Resources Sharing Service Platform [YCZYPT [2018]06, 2005DKA21300]

向作者/读者索取更多资源

This study provided a comprehensive review of the principles, functionality, and limitations of existing methods for detecting FLT3-ITD, comparing the qualitative and quantitative detection capabilities of six representative tools. The results offer practical guidance for researchers and clinicians in selecting appropriate FLT3-ITD detection tools and highlight future developments in this field.
Internal tandem duplication (ITD) of FMS-like tyrosine kinase 3 (FLT3-ITD) constitutes an independent indicator of poor prognosis in acute myeloid leukaemia (AML). AML with FLT3-ITD usually presents with poor treatment outcomes, high recurrence rate and short overall survival. Currently, polymerase chain reaction and capillary electrophoresis are widely adopted for the clinical detection of FLT3-ITD, whereas the length and mutation frequency of ITD are evaluated using fragment analysis. With the development of sequencing technology and the high incidence of FLT3-ITD mutations, a multitude of bioinformatics tools and pipelines have been developed to detect FLT3-ITD using next-generation sequencing data. However, systematic comparison and evaluation of the methods or software have not been performed. In this study, we provided a comprehensive review of the principles, functionality and limitations of the existing methods for detecting FLT3-ITD. We further compared the qualitative and quantitative detection capabilities of six representative tools using simulated and biological data. Our results will provide practical guidance for researchers and clinicians to select the appropriate FLT3-ITD detection tools and highlight the direction of future developments in this field.

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