Literature DB >> 31896942

Inter-laboratory proficiency testing scheme for tumour next-generation sequencing in Ontario: a pilot study.

T Spence1, N Stickle1, C Yu1, H Chow1, H Feilotter2, B Lo3, E McCready4, B Sadikovic5, L L Siu1, P L Bedard1, T L Stockley1.   

Abstract

Background: A pilot inter-laboratory proficiency scheme for 5 Ontario clinical laboratories testing tumour samples for the Ontario-wide Cancer Targeted Nucleic Acid Evaluation (octane) study was undertaken to assess proficiency in the identification and reporting of next-generation sequencing (ngs) test results in solid tumour testing from archival formalin-fixed, paraffin-embedded (ffpe) tissue.
Methods: One laboratory served as the reference centre and provided samples to 4 participating laboratories. An analyte-based approach was applied: each participating laboratory received 10 ffpe tissue specimens profiled at the reference centre, with tumour site and histology provided. Laboratories performed testing per their standard ngs tumour test protocols. Items returned for assessment included genes and variants that would be typically reported in routine clinical testing and variant call format (vcf) files to allow for assessment of ngs technical quality.
Results: Two main aspects were assessed:■ Technical quality and accuracy of identification of exonic variants■ Site-specific reporting practicesTechnical assessment included evaluation of exonic variant identification, quality assessment of the vcf files to evaluate base calling, variant allele frequency, and depth of coverage for all exonic variants. Concordance at 100% was observed from all sites in the technical identification of 98 exonic variants across the 10 cases. Variability between laboratories in the choice of variants considered clinically reportable was significant. Of the 38 variants reported as clinically relevant by at least 1 site, only 3 variants were concordantly reported by all participating centres as clinically relevant. Conclusions: Although excellent technical concordance for ngs tumour profiling was observed across participating institutions, differences in the reporting of clinically relevant variants were observed, highlighting reporting as a gap where consensus on the part of Ontario laboratories is needed. 2019 Multimed Inc.

Entities:  

Keywords:  External quality assessment; inter-laboratory comparison; next-generation sequencing; tumour molecular profiling

Mesh:

Year:  2019        PMID: 31896942      PMCID: PMC6927773          DOI: 10.3747/co.26.5379

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


  7 in total

1.  Methods-based proficiency testing in molecular genetic pathology.

Authors:  Iris Schrijver; Nazneen Aziz; Lawrence J Jennings; Carolyn Sue Richards; Karl V Voelkerding; Karen E Weck
Journal:  J Mol Diagn       Date:  2014-03-18       Impact factor: 5.568

Review 2.  Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists.

Authors:  Lawrence J Jennings; Maria E Arcila; Christopher Corless; Suzanne Kamel-Reid; Ira M Lubin; John Pfeifer; Robyn L Temple-Smolkin; Karl V Voelkerding; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-03-21       Impact factor: 5.568

3.  A Window Into Clinical Next-Generation Sequencing-Based Oncology Testing Practices.

Authors:  Rakesh Nagarajan; Angela N Bartley; Julia A Bridge; Lawrence J Jennings; Suzanne Kamel-Reid; Annette Kim; Alexander J Lazar; Neal I Lindeman; Joel Moncur; Alex J Rai; Mark J Routbort; Patricia Vasalos; Jason D Merker
Journal:  Arch Pathol Lab Med       Date:  2017-10-13       Impact factor: 5.534

Review 4.  Standards and Guidelines for the Interpretation and Reporting of Sequence Variants in Cancer: A Joint Consensus Recommendation of the Association for Molecular Pathology, American Society of Clinical Oncology, and College of American Pathologists.

Authors:  Marilyn M Li; Michael Datto; Eric J Duncavage; Shashikant Kulkarni; Neal I Lindeman; Somak Roy; Apostolia M Tsimberidou; Cindy L Vnencak-Jones; Daynna J Wolff; Anas Younes; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-01       Impact factor: 5.568

5.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

6.  Proficiency Testing of Standardized Samples Shows Very High Interlaboratory Agreement for Clinical Next-Generation Sequencing-Based Oncology Assays.

Authors:  Jason D Merker; Kelly Devereaux; A John Iafrate; Suzanne Kamel-Reid; Annette S Kim; Joel T Moncur; Stephen B Montgomery; Rakesh Nagarajan; Bryce P Portier; Mark J Routbort; Craig Smail; Lea F Surrey; Patricia Vasalos; Alexander J Lazar; Neal I Lindeman
Journal:  Arch Pathol Lab Med       Date:  2018-10-30       Impact factor: 5.534

7.  A classification system for clinical relevance of somatic variants identified in molecular profiling of cancer.

Authors:  Mahadeo A Sukhai; Kenneth J Craddock; Mariam Thomas; Aaron R Hansen; Tong Zhang; Lillian Siu; Philippe Bedard; Tracy L Stockley; Suzanne Kamel-Reid
Journal:  Genet Med       Date:  2015-04-16       Impact factor: 8.822

  7 in total
  2 in total

1.  Precision cancer genome testing needs proficiency testing involving all stakeholders.

Authors:  Masato Maekawa; Terumi Taniguchi; Kazuto Nishio; Kazuko Sakai; Kazuyuki Matsushita; Kaname Nakatani; Takayuki Ishige; Makoto Ikejiri; Hiroshi Nishihara; Kuniko Sunami; Yasushi Yatabe; Kanako C Hatanaka; Yutaka Hatanaka; Yoshihiro Yamamoto; Keita Fukuyama; Shinya Oda; Kayoko Saito; Mamoru Yokomura; Yuji Kubo; Hiroko Sato; Yoshinori Tanaka; Misa Fuchioka; Tadashi Yamasaki; Koichiro Matsuda; Kiyotaka Kurachi; Kazuhiro Funai; Satoshi Baba; Moriya Iwaizumi
Journal:  Sci Rep       Date:  2022-01-27       Impact factor: 4.379

2.  Inter-assay variability of next-generation sequencing-based gene panels.

Authors:  Pham Nguyen Quy; Keita Fukuyama; Masashi Kanai; Tadayuki Kou; Tomohiro Kondo; Masahiro Yoshioka; Junichi Matsubara; Tomohiro Sakuma; Sachiko Minamiguchi; Shigemi Matsumoto; Manabu Muto
Journal:  BMC Med Genomics       Date:  2022-04-15       Impact factor: 3.622

  2 in total

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