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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] The Clinical Validation of a Targeted Next-Generation Sequencing Panel for Lymphoid Malignancies
    Artymiuk, C.
    Basu, S.
    Koganti, T.
    Tandale, P.
    Balan, J.
    Dina, M.
    Fritcher, E. Barr
    Wu, X.
    Ashworth, T.
    He, R.
    Viswanatha, D.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2023, 25 (11): : S45 - S45
  • [2] Clinical Validation of a Targeted Next-Generation Sequencing Panel for Lymphoid Malignancies
    Artymiuk, Cody J.
    Basu, Shubham
    Koganti, Tejaswi
    Tandale, Pratyush
    Balan, Jagadheshwar
    Dina, Michelle A.
    Fritcher, Emily G. Barr
    Wu, Xianglin
    Ashworth, Taylor
    He, Rong
    Viswanatha, David S.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2024, 26 (07): : 583 - 598
  • [3] MutationValidator: A computational method for variant cross-validation in next-generation sequencing data
    Rosenberg, Mara
    Getz, Gad
    Kiezun, Adam
    Sivachenko, Andrey
    [J]. CANCER RESEARCH, 2014, 74 (19)
  • [4] Validation of a Next-Generation-Sequencing Cancer Panel for Use in the Clinical Laboratory
    Simen, Birgitte B.
    Yin, Lina
    Goswami, Chirayu P.
    Davis, Kathleen O.
    Bajaj, Renu
    Gong, Jerald Z.
    Peiper, Stephen C.
    Johnson, Erica S.
    Wang, Zi-Xuan
    [J]. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 2015, 139 (04) : 508 - 517
  • [5] Validation of a next generation sequencing panel for detection of hotspot cancer mutations in a clinical laboratory
    Shahsiah, Reza
    DeKoning, Jenefer
    Samie, Saeed
    Latifzadeh, Seyed Ziaeddin
    Kashi, Zahra Mehdizadeh
    [J]. PATHOLOGY RESEARCH AND PRACTICE, 2017, 213 (02) : 98 - 105
  • [6] Clinical Next-Generation Sequencing Panel Validation: Review of Findings
    Peterson, L. M.
    Blommel, J. H.
    Fadra, N.
    Tu, Z.
    Klee, E. W.
    Ferber, M. J.
    [J]. JOURNAL OF MOLECULAR DIAGNOSTICS, 2013, 15 (06): : 848 - 848
  • [7] Clinical validation of a next generation sequencing panel for ovarian and endometrial tumours
    Le Mercier, M.
    De Neve, N.
    Blanchard, O.
    Salmon, I.
    Noel, J. -C.
    Croce, S.
    D'Haene, N.
    [J]. VIRCHOWS ARCHIV, 2016, 469 : S204 - S204
  • [8] Validation of a Next Generation Sequencing Gene Panel for Gliomas in Clinical Practice
    Martinez-Lage, Maria
    Gentile, Caren
    Roth, David
    Morrissette, Jennifer
    Daber, Robert
    [J]. JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 2013, 72 (06): : 541 - 542
  • [9] Development and validation of a next-generation sequencing panel for clinical pharmacogenetics
    Ramudo-Cela, Luis
    Maria Lopez-Marti, Jesos
    Colmeiro-Echeberria, Daniel
    de-Una-Iglesias, David
    Luis Santome-Collazo, Jose
    Monserrat-lglesias, Lorenzo
    [J]. FARMACIA HOSPITALARIA, 2020, 44 (06) : 243 - 253
  • [10] Pre-clinical validation of a next generation sequencing testing panel
    Luesebrink, Jessica
    Pieper, Monika
    Tillmann, Ramona-Liza
    Brockmann, Michael
    Schildgen, Oliver
    Schildgen, Verena
    [J]. EXPERIMENTAL AND MOLECULAR PATHOLOGY, 2018, 104 (03) : 170 - 174