| Literature DB >> 25801821 |
Donavan T Cheng1, Talia N Mitchell1, Ahmet Zehir1, Ronak H Shah1, Ryma Benayed1, Aijazuddin Syed1, Raghu Chandramohan1, Zhen Yu Liu1, Helen H Won1, Sasinya N Scott1, A Rose Brannon1, Catherine O'Reilly1, Justyna Sadowska1, Jacklyn Casanova1, Angela Yannes1, Jaclyn F Hechtman1, Jinjuan Yao1, Wei Song1, Dara S Ross1, Alifya Oultache1, Snjezana Dogan1, Laetitia Borsu1, Meera Hameed1, Khedoudja Nafa1, Maria E Arcila1, Marc Ladanyi2, Michael F Berger3.
Abstract
The identification of specific genetic alterations as key oncogenic drivers and the development of targeted therapies are together transforming clinical oncology and creating a pressing need for increased breadth and throughput of clinical genotyping. Next-generation sequencing assays allow the efficient and unbiased detection of clinically actionable mutations. To enable precision oncology in patients with solid tumors, we developed Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), a hybridization capture-based next-generation sequencing assay for targeted deep sequencing of all exons and selected introns of 341 key cancer genes in formalin-fixed, paraffin-embedded tumors. Barcoded libraries from patient-matched tumor and normal samples were captured, sequenced, and subjected to a custom analysis pipeline to identify somatic mutations. Sensitivity, specificity, reproducibility of MSK-IMPACT were assessed through extensive analytical validation. We tested 284 tumor samples with previously known point mutations and insertions/deletions in 47 exons of 19 cancer genes. All known variants were accurately detected, and there was high reproducibility of inter- and intrarun replicates. The detection limit for low-frequency variants was approximately 2% for hotspot mutations and 5% for nonhotspot mutations. Copy number alterations and structural rearrangements were also reliably detected. MSK-IMPACT profiles oncogenic DNA alterations in clinical solid tumor samples with high accuracy and sensitivity. Paired analysis of tumors and patient-matched normal samples enables unambiguous detection of somatic mutations to guide treatment decisions.Entities:
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Year: 2015 PMID: 25801821 PMCID: PMC5808190 DOI: 10.1016/j.jmoldx.2014.12.006
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568