Multisite clinical cross-validation and variant interpretation of a next generation sequencing panel for lymphoid cancer prognostication

被引:0
|
作者
Sabatini, Peter J. B. [1 ,2 ]
Bridgers, Josh [3 ]
Huang, Shujun [3 ]
Downs, Gregory [2 ]
Zhang, Tong [2 ]
Sheen, Clare [2 ]
Park, Nicole [2 ]
Kridel, Robert [4 ]
Marra, Marco A. [5 ]
Steidl, Christian [6 ]
Scott, David W. [6 ]
Karsan, Aly [3 ,7 ]
机构
[1] Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, Canada
[2] Univ Hlth Network, Princess Margaret Canc Ctr, Adv Mol Diagnost Lab, Toronto, ON, Canada
[3] BC Canc Res Inst, Vancouver, BC, Canada
[4] Univ Hlth Network, Princess Margaret Canc Ctr, Div Med Oncol & Hematol, Toronto, ON, Canada
[5] BC Canc Res Inst, Michael Smith Genome Sci Ctr, Vancouver, BC, Canada
[6] Ctr Lymphoid Canc, Vancouver, BC, Canada
[7] Univ British Columbia, Dept Pathol & Lab Med, Vancouver, BC, Canada
基金
加拿大健康研究院;
关键词
CANCER; GENETICS; LYMPHOMA; HEALTH-ORGANIZATION CLASSIFICATION; B-CELL LYMPHOMA; SOMATIC HYPERMUTATION; MUTATIONS; CAPTURE; TOOL;
D O I
10.1136/jcp-2023-209262
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
AimsGenomic sequencing of lymphomas is under-represented in routine clinical testing despite having prognostic and predictive value. Clinical implementation is challenging due to a lack of consensus on reportable targets and a paucity of reference samples. We organised a cross-validation study of a lymphoma-tailored next-generation sequencing panel between two College of American Pathologists (CAP)-accredited clinical laboratories to mitigate these challenges.MethodsA consensus for the genomic targets was discussed between the two institutes based on recurrence in diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma, chronic lymphocytic leukaemia and T-cell lymphomas. Using the same genomic targets, each laboratory ordered libraries independently and a cross-validation study was designed to exchange samples (8 cell lines and 22 clinical samples) and their FASTQ files.ResultsThe sensitivity of the panel when comparing different library preparation and bioinformatic workflows was between 97% and 99% and specificity was 100% when a 5% limit of detection cut-off was applied. To evaluate how the current standards for variant classification of tumours apply to lymphomas, the Association for Molecular Pathology/American Society of Clinical Oncology/CAP and OncoKB classification systems were applied to the panel. The majority of variants were assigned a possibly actionable class or likely pathogenic due to more limited evidence in the literature.ConclusionsThe cross-validation study highlights the benefits of sample and data exchange for clinical validation and provided a framework for reporting the findings in lymphoid malignancies.
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页数:8
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