Related Experiment Video
Updated: Apr 9, 2026

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Targeted ultradeep next-generation sequencing as a method for KIT D816V mutation analysis in mastocytosis
Thomas Kristensen1, Sigurd Broesby-Olsen2, Hanne Vestergaard3
1Department of Pathology, Odense University Hospital, Odense, Denmark.
Abstract:
Next-generation sequencing (NGS) is becoming increasingly used for diagnostic mutation analysis in myeloid neoplasms and may also represent a feasible technique in mastocytosis. However, detection of the KIT D816V mutation requires a highly sensitive method in most patients due to the typically low mutation levels. In this study, we established an NGS-based KIT mutation analysis and analyzed the sensitivity of D816V detection using the Ion Torrent platform. Eighty-two individual NGS analyses were included in the study. All samples were also analyzed using highly sensitive KIT D816V mutation-specific qPCR. Measurements of the background level in D816V-negative samples supported a cutoff for positivity of 0.2% in three different NGS panels. Clinical samples from patients with SM that tested positive using qPCR with a D816V allele burden >0.2% also tested positive using NGS. Samples that tested positive using qPCR with an allele burden <0.2% tested negative using NGS. We thereby demonstrate that caution should be taken when using the potentially very sensitive NGS technique for KIT D816V mutation analysis in mastocytosis, as many patients with SM have D816V mutation levels below the detection limit of NGS. A dedicated and highly sensitive KIT D816V mutation analysis therefore remains important in mastocytosis diagnostics.
More Related Videos
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
10:41Wild-type Blocking PCR Combined with Direct Sequencing as a Highly Sensitive Method for Detection of Low-Frequency Somatic Mutations
Published on: March 29, 2017