Dissemin is shutting down on January 1st, 2025

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BioMed Central, Genome Biology, 1(22), 2021

DOI: 10.1186/s13059-021-02315-0

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Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions

Journal article published in 2021 by Binsheng Gong, Dan Li, Rebecca Kusko, Natalia Novoradovskaya, Yifan Zhang, Shangzi Wang, Carlos Pabón-Peña, Zhihong Zhang, Kevin Lai, Wanshi Cai, Jennifer S. LoCoco, Eric Lader, Todd A. Richmond, Vinay K. Mittal, Liang-Chun Liu and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Abstract Background Targeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing. Results All panels demonstrate high sensitivity across targeted high-confidence coding regions and variant types for the variants previously verified to have variant allele frequency (VAF) in the 5–20% range. Sensitivity is reduced by utilizing VAF thresholds due to inherent variability in VAF measurements. Enforcing a VAF threshold for reporting has a positive impact on reducing false positive calls. Importantly, the false positive rate is found to be significantly higher outside the high-confidence coding regions, resulting in lower reproducibility. Thus, region restriction and VAF thresholds lead to low relative technical variability in estimating promising biomarkers and tumor mutational burden. Conclusion This comprehensive study provides actionable guidelines for oncopanel sequencing and clear evidence that supports a simplified approach to assess the analytical performance of oncopanels. It will facilitate the rapid implementation, validation, and quality control of oncopanels in clinical use.