Molecular Diagnosis & TherapyGenetic & Genomic MedicinePeer-reviewed journal article
Use of an integrated pan-cancer oncology enrichment NGS assay to measure tumour mutational burden and detect clinically actionable variants
Valerie PestingeriD, Matthew Ryan SmithiD, Toju Sillo, John M. FindlayiD, Jean‐François Laes, Gerald MartiniD, Gary MiddletoniD, Phillipe TaniereiD, Andrew David BeggsiD
Abstract
IntroductionThe identification of tumour mutational burden (TMB) as a biomarker of response to PD-1 immunotherapy has necessitated the development of genomic assays to measure this. We carried out comprehensive molecular profiling of cancers using the Illumina TruSight Oncology panel (TSO500) and compared to whole genome sequencing. MethodsCancer samples derived from formalin fixed material were profiled on the TSO500 panel, sequenced on an Illumina NextSeq 500 instrument and processed through the TSO500 Docker Pipeline. Either FASTQ files (PierianDx) or VCF files (OncoKDM) were processed to understand clinical actionability ResultsIn total, 108 samples (a mixture of colorectal, lung, oesophageal and control samples) were processed via the DNA panel. There was good correlation between TMB, SNV, indels and CNV as predicted by TSO500 and WGS (R2>0.9) and good reproducibility, with less than 5% variability between repeated controls. For the RNA panel, 13 samples were processed, with all known fusions observed via orthogonal techniques detected. For clinical actionability 72 Tier 1 variants and 297 Tier 2 variants were identified with clinical trials identified for all patients. ConclusionsThe TruSight Oncology 500 assay accurately measures TMB, MSI, single nucleotide variants, indels, copy number/structural variation and gene fusions when compared to whole genome sequencing and orthogonal technologies. Coupled with a clinical annotation pipeline this provides a powerful methodology for identification of clinically actionable variants.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 63
- FWCI
- 3.85
- Field percentile
- top 4%
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