Effect of low-level BCR-ABL1 kinase domain mutations identified by next-generation sequencing in patients with chronic myeloid leukaemia: a population-based study

This publication has 26 references indexed in Scilit:

• Sequencing small genomic targets with high efficiency and extreme accuracy
  Nature Methods, 2015
• Next-generation deep sequencing improves detection of BCR-ABL1 kinase domain mutations emerging under tyrosine kinase inhibitor treatment of chronic myeloid leukemia patients in chronic phase
  Journal of Cancer Research and Clinical Oncology, 2014
• Performance of Common Analysis Methods for Detecting Low-Frequency Single Nucleotide Variants in Targeted Next-Generation Sequence Data
  The Journal of Molecular Diagnostics, 2014
• Lessons from next-generation sequencing analysis in hematological malignancies
  Blood Cancer Journal, 2013
• Robustness of Amplicon Deep Sequencing Underlines Its Utility in Clinical Applications
  The Journal of Molecular Diagnostics, 2013
• Detection of ultra-rare mutations by next-generation sequencing
  Proceedings of the National Academy of Sciences, 2012
• Guidelines for the measurement of BCR‐ABL1 transcripts in chronic myeloid leukaemia
  British Journal of Haematology, 2011
• Integrative genomics viewer
  Nature Biotechnology, 2011
• Recurring Mutations Found by Sequencing an Acute Myeloid Leukemia Genome
  New England Journal of Medicine, 2009
• High frequency of point mutations clustered within the adenosine triphosphate–binding region of BCR/ABL in patients with chronic myeloid leukemia or Ph-positive acute lymphoblastic leukemia who develop imatinib (STI571) resistance
  Blood, 2002