Development and validation of an ultra-high sensitive next-generation sequencing assay for molecular diagnosis of clinical oncology
Dramatic improvements in the understanding of oncogenes have spurred the development of molecular target therapies, which created an exigent need for comprehensive and rapid clinical genotyping. Next-generation sequencing (NGS) assay with increased performance and decreased cost is becoming more wid...
Gespeichert in:
Veröffentlicht in: | International journal of oncology 2016-11, Vol.49 (5), p.2088-2104 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Dramatic improvements in the understanding of oncogenes have spurred the development of molecular target therapies, which created an exigent need for comprehensive and rapid clinical genotyping. Next-generation sequencing (NGS) assay with increased performance and decreased cost is becoming more widely used in clinical diagnosis. However, the optimization and validation of NGS assay remain a challenge, especially for the detection of somatic variants at low mutant allele fraction (MAF). In the present study, we developed and validated the Novogene Comprehensive Panel (NCP) based on targeted capture for NGS analysis. Due to the high correlation between SNV/INDEL detection performance and target coverage, here we focused on these two types of variants for our deep sequencing strategy. To validate the capability of NCP in single-nucleotide variant (SNV) and small insert and deletion (INDEL) detection, we implemented a practical validation strategy with pooled cell lines, deep sequencing of pooled samples (>2000X average unique coverage across target region) achieving >99% sensitivity and high specificity (positive predictive value, PPV >99%) for all types of variations with expected MAF >5%. Furthermore, given the high sensitivity and that false positive may exist in this assay, we confirmed its accuracy of variants with MAF |
---|---|
ISSN: | 1019-6439 1791-2423 |
DOI: | 10.3892/ijo.2016.3707 |