NGS Analysis of Liquid Biopsy (LB) and Formalin-Fixed Paraffin-Embedded (FFPE) Melanoma Samples Using Oncomine™ Pan-Cancer Cell-Free Assay.
Magdalena OlbrytMarcin RajczykowskiWiesław BalAnna Fiszer-KierzkowskaAlexander Jorge CortezMagdalena MazurRafał SuwinskiWieslawa WidlakPublished in: Genes (2021)
Next-generation sequencing (NGS) in liquid biopsies may contribute to the diagnosis, monitoring, and personalized therapy of cancer through the real-time detection of a tumor's genetic profile. There are a few NGS platforms offering high-sensitivity sequencing of cell-free DNA (cfDNA) samples. The aim of this study was to evaluate the Ion AmpliSeq HD Technology for targeted sequencing of tumor and liquid biopsy samples from patients with fourth-stage melanoma. Sequencing of 30 samples (FFPE tumor and liquid biopsy) derived from 14 patients using the Oncomine™ Pan-Cancer Cell-Free Assay was performed. The analysis revealed high concordance between the qPCR and NGS results of the BRAF mutation in FFPE samples (91%), as well as between the FFPE and liquid biopsy samples (91%). The plasma-tumor concordance of the non-BRAF mutations was 28%. A total of 17 pathogenic variants in 14 genes (from 52-gene panel), including TP53, CTNNB1, CCND1, MET, MAP2K1, and GNAS, were identified, with the CTNNB1S45F variant being the most frequent. A positive correlation between the LDH level and cfDNA concentration as well as negative correlation between the LDH level and time to progression was confirmed in a 22-patient cohort. The analysis showed both the potential and limitations of liquid biopsy genetic profiling using HD technology and the Ion Torrent platform.
Keyphrases
- cell free
- ultrasound guided
- papillary thyroid
- ionic liquid
- single cell
- copy number
- fine needle aspiration
- genome wide
- squamous cell
- end stage renal disease
- high throughput
- ejection fraction
- stem cells
- newly diagnosed
- dna methylation
- chronic kidney disease
- lymph node metastasis
- peritoneal dialysis
- young adults
- risk assessment
- transcription factor
- cell therapy
- patient reported outcomes
- skin cancer
- prognostic factors
- mesenchymal stem cells
- wild type
- bioinformatics analysis