RNA-Based Targeted Gene Sequencing Improves the Diagnostic Yield of Mutant Detection in Chronic Myeloid Leukemia

Naranie Shanmuganathan1, Carol Wadham2, Daniel Thomson2

  • 1Department of Haematology, Royal Adelaide Hospital and SA Pathology, Adelaide, South Australia, Australia; Department of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, South Australia, Australia; Precision Medicine Theme, South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia; Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.

Insights

Total RNA sequencing effectively detects diverse mutations in chronic myeloid leukemia, including gene deletions and fusion transcripts. This cost-effective method aids in managing hematological malignancies and identifying patient risk groups.

Area of Science:

  • Genomics
  • Molecular Biology
  • Hematology

Background:

  • Mutation detection is crucial for managing hematological malignancies, with previous studies identifying various mutation types in chronic myeloid leukemia (CML) linked to treatment failure.
  • Diverse variants, including single-nucleotide variants, small insertions/deletions, fusion transcripts, and gene deletions, have been identified.

Purpose of the Study:

  • To assess if a single, cost-effective hybridization capture next-generation sequencing method using total RNA can detect all mutation types relevant to hematological malignancies.
  • To develop and validate a method targeting 130 genes critical for myeloid and lymphoid leukemia.

Main Methods:

  • A hybridization capture next-generation sequencing method was developed targeting 130 leukemia-relevant genes.
  • Retrospective samples with 121 precharacterized variants were analyzed using total RNA and/or DNA.
  • Matched DNA and RNA samples from 24 patients were compared for variant detection.

Main Results:

  • The RNA-based method demonstrated 96% concordance with precharacterized variants detected by RNA or DNA, with enhanced sensitivity identifying additional variants.
  • Comparison of matched DNA and RNA samples showed 95.3% of DNA-detectable variants were identified by RNA, including most variants affecting nonsense-mediated decay.
  • RNA sequencing uniquely identified fusion transcripts and revealed the true impact of splice variants on RNA splicing.

Conclusions:

  • Capture sequencing using total RNA alone is effective for detecting a wide spectrum of variants in chronic myeloid leukemia.
  • This approach shows potential for broader application in other hematological malignancies for risk stratification based on diverse variant types.