| Literature DB >> 26602013 |
Chih-Jian Lih1, David J Sims2, Robin D Harrington2, Eric C Polley3, Yingdong Zhao3, Michele G Mehaffey2, Thomas D Forbes2, Biswajit Das2, William D Walsh2, Vivekananda Datta2, Kneshay N Harper2, Courtney H Bouk2, Lawrence V Rubinstein3, Richard M Simon3, Barbara A Conley3, Alice P Chen3, Shivaani Kummar3, James H Doroshow3, Paul M Williams4.
Abstract
Robust and analytically validated assays are essential for clinical studies. We outline an analytical validation study of a targeted next-generation sequencing mutation-detection assay used for patient selection in the National Cancer Institute Molecular Profiling-Based Assignment of Cancer Therapy (NCI-MPACT) trial (NCT01827384). Using DNA samples from normal or tumor cell lines and xenografts with known variants, we assessed the sensitivity, specificity, and reproducibility of the NCI-MPACT assay in five variant types: single-nucleotide variants (SNVs), SNVs at homopolymeric (HP) regions (≥3 identical bases), small insertions/deletions (indels), large indels (gap ≥4 bp), and indels at HP regions. The assay achieved sensitivities of 100% for 64 SNVs, nine SNVs at HP regions, and 11 large indels, 83.33% for six indels, and 93.33% for 15 indels at HP regions. Zero false positives (100% specificity) were found in 380 actionable mutation loci in 96 runs of haplotype map cells. Reproducibility analysis showed 96.3% to 100% intraoperator and 98.1% to 100% interoperator mean concordance in detected variants and 100% reproducibility in treatment selection. To date, 38 tumors have been screened, 34 passed preanalytical quality control, and 18 had actionable mutations for treatment assignment. The NCI-MPACT assay is well suited for its intended investigational use and can serve as a template for developing next-generation sequencing assays for other cancer clinical trial applications. Published by Elsevier Inc.Entities:
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Year: 2015 PMID: 26602013 PMCID: PMC5812775 DOI: 10.1016/j.jmoldx.2015.07.006
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568