Literature DB >> 26602013

Analytical Validation and Application of a Targeted Next-Generation Sequencing Mutation-Detection Assay for Use in Treatment Assignment in the NCI-MPACT Trial.

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.

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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


  65 in total

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Journal:  N Engl J Med       Date:  2012-02-23       Impact factor: 91.245

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10.  COSMIC: exploring the world's knowledge of somatic mutations in human cancer.

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Journal:  Nucleic Acids Res       Date:  2014-10-29       Impact factor: 16.971

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  22 in total

1.  Analytical Validation of the Next-Generation Sequencing Assay for a Nationwide Signal-Finding Clinical Trial: Molecular Analysis for Therapy Choice Clinical Trial.

Authors:  Chih-Jian Lih; Robin D Harrington; David J Sims; Kneshay N Harper; Courtney H Bouk; Vivekananda Datta; Jonathan Yau; Rajesh R Singh; Mark J Routbort; Rajyalakshmi Luthra; Keyur P Patel; Geeta S Mantha; Savitri Krishnamurthy; Karyn Ronski; Zenta Walther; Karin E Finberg; Sandra Canosa; Hayley Robinson; Amelia Raymond; Long P Le; Lisa M McShane; Eric C Polley; Barbara A Conley; James H Doroshow; A John Iafrate; Jeffrey L Sklar; Stanley R Hamilton; P Mickey Williams
Journal:  J Mol Diagn       Date:  2017-02-07       Impact factor: 5.568

2.  Plasmid-Based Materials as Multiplex Quality Controls and Calibrators for Clinical Next-Generation Sequencing Assays.

Authors:  David J Sims; Robin D Harrington; Eric C Polley; Thomas D Forbes; Michele G Mehaffey; Paul M McGregor; Corinne E Camalier; Kneshay N Harper; Courtney H Bouk; Biswajit Das; Barbara A Conley; James H Doroshow; P Mickey Williams; Chih-Jian Lih
Journal:  J Mol Diagn       Date:  2016-05       Impact factor: 5.568

3.  Certified DNA Reference Materials to Compare HER2 Gene Amplification Measurements Using Next-Generation Sequencing Methods.

Authors:  Chih-Jian Lih; Han Si; Biswajit Das; Robin D Harrington; Kneshay N Harper; David J Sims; Paul M McGregor; Corinne E Camalier; Andrew Y Kayserian; P Mickey Williams; Hua-Jun He; Jamie L Almeida; Steve P Lund; Steve Choquette; Kenneth D Cole
Journal:  J Mol Diagn       Date:  2016-07-25       Impact factor: 5.568

Review 4.  Biomarker-Driven Oncology Clinical Trials: Key Design Elements, Types, Features, and Practical Considerations.

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5.  Precision Medicine Requires Precision Laboratories.

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Journal:  J Mol Diagn       Date:  2017-01-24       Impact factor: 5.568

Review 6.  National Cancer Institute Basket/Umbrella Clinical Trials: MATCH, LungMAP, and Beyond.

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7.  Clinical Applications of Next-Generation Sequencing in Precision Oncology.

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8.  What Can Be Done to Improve Research Biopsy Quality in Oncology Clinical Trials?

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Review 9.  Precision Oncology Medicine: The Clinical Relevance of Patient-Specific Biomarkers Used to Optimize Cancer Treatment.

Authors:  Keith T Schmidt; Cindy H Chau; Douglas K Price; William D Figg
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Review 10.  The Application of Control Materials for Ongoing Quality Management of Next-Generation Sequencing in a Clinical Genetic Laboratory.

Authors:  Young-Kyu Min; Kyung-Sun Park
Journal:  Medicina (Kaunas)       Date:  2021-05-28       Impact factor: 2.430

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