| Literature DB >> 30590126 |
Maria E Arcila1, Wayne Yu2, Mustafa Syed2, Hannah Kim2, Lidia Maciag2, JinJuan Yao2, Caleb Ho2, Kseniya Petrova2, Christine Moung2, Paulo Salazar2, Ivelise Rijo2, Tessara Baldi2, Ahmet Zehir2, Ola Landgren2, Jae Park2, Mikhail Roshal2, Ahmet Dogan2, Khedoudja Nafa2.
Abstract
Immunoglobulin heavy chain (IGH) clonality testing by next-generation sequencing (NGS) offers unique advantages over current low-throughput methods in the assessment of B-cell lineage neoplasms. Clinical use remains limited because assays are not standardized and validation/implementation guidelines are not yet developed. Herein, we describe our clinical validation and implementation of NGS IGH clonality testing and summarize our experience based on extensive routine use. NGS-based clonality testing targeting IGH FR1, FR2, FR3, and the conserved leader sequence upstream of FR1 was validated using commercially available kits. Data were analyzed by commercial and in-house-developed bioinformatics pipelines. Performance characteristics were evaluated directly comparing with capillary electrophoresis (CE) assays (BIOMED-2 primers). Assays were monitored after implementation (>1.5 years), concurrently testing by CE methods. A total of 1189 clinical samples were studied (94 validation, 1095 postimplementation). NGS showed superior performance compared with CE assays. For initial assessment, clonality detection rate was >97% for all malignancy types. Concordance with CE was 96%; discordances were related to higher sensitivity/resolution of NGS and improved detection in cases with high somatic hypermutation. Routine NGS clonality assessment is feasible and superior to existing assays, enabling accurate and specific index clone assessment and future tracking of all rearrangements in a patient sample. Successful implementation requires new standardization, validation, and implementation processes, which should be performed as a multicenter and multidisciplinary collaboration.Entities:
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Year: 2018 PMID: 30590126 PMCID: PMC6436112 DOI: 10.1016/j.jmoldx.2018.10.008
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568