Analytical and Potential Clinical Performance of Oncomine Myeloid Research Assay for Myeloid Neoplasms

Mol Diagn Ther. 2020 Oct;24(5):579-592. doi: 10.1007/s40291-020-00484-5.

Abstract

Introduction: Next-generation sequencing (NGS) panels have recently been introduced to efficiently detect genetic variations in hematologic malignancies.

Objectives: Our aim was to evaluate the performance of the commercialized Oncomineā„¢ myeloid research assay (OMA) for myeloid neoplasms.

Methods: Certified reference materials and clinical research samples were used, including 60 genomic DNA and 56 RNA samples. NGS was performed using OMA, which enables the interrogation of 40 target genes, 29 gene fusions, and five expression target genes with five expression control genes by the Ion S5 XL Sequencer. The analyzed data were compared with clinical data using karyotyping, reverse transcription polymerase chain reaction (PCR), fluorescence in situ hybridization, Sanger sequencing, customized NGS panel, and fragment analysis.

Results: All targets of reference materials were detected except three (two ASXL1 and one CEBPA) mutations, which we had not expected OMA to detect. In clinical search samples, OMA satisfactorily identified DNA variants, including 90 single nucleotide variants (SNVs), 48 small insertions and deletions (indels), and eight FLT3 internal tandem duplications (ITDs) (Kappa agreement 0.938). The variant allele frequencies of SNVs and indels measured by OMA correlated well with clinical data, whereas those of FLT3-ITDs were significantly lower than with fragment analysis (P = 0.008). Together, OMA showed strong ability to identify RNA gene fusions (Kappa agreement 0.961), except one RUNX1-MECOM. The MECOM gene was highly expressed in all five samples with MECOM-associated rearrangements, including inv(3), t(3;3), and t(3;21).

Conclusion: OMA revealed excellent analytical and potential clinical performance and could be a good replacement for conventional molecular tests.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor
  • Disease Management
  • Disease Susceptibility
  • Genetic Predisposition to Disease
  • Genetic Variation
  • High-Throughput Nucleotide Sequencing
  • Humans
  • INDEL Mutation
  • Molecular Diagnostic Techniques* / methods
  • Molecular Diagnostic Techniques* / standards
  • Myeloproliferative Disorders / diagnosis*
  • Myeloproliferative Disorders / etiology
  • Polymorphism, Single Nucleotide
  • Reproducibility of Results

Substances

  • Biomarkers, Tumor