Comparison of Results from Two Commercially Available In-house Tissue-Based Comprehensive Genomic Profiling Solutions: Research Use Only AVENIO Tumor Tissue CGP (AVENIO CGP) Kit and TruSight Oncology 500 (TSO-500) Assay

Increased adoption of personalized medicine has brought comprehensive genomic profiling (CGP) to the forefront. However, differences in assay, bioinformatics, and reporting systems and lack of understanding of their complex interplay are a challenge for implementation and achieving uniformity in CGP...

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Veröffentlicht in:The Journal of molecular diagnostics : JMD 2024-09
Hauptverfasser: Adams, Hans-Peter, Hiemenz, Matthew C, Hertel, Kay, Fuhlbrück, Frederike, Thomas, Mara, Oughton, James, Sorensen, Helle, Schlecht, Ulrich, Allen, Justin M, Cantone, Martina, Osswald, Sophie, Gonzalez, David, Pikarsky, Eli, De Vos, Muriel, Schuuring, Ed, Wieland, Thomas
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Sprache:eng
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Zusammenfassung:Increased adoption of personalized medicine has brought comprehensive genomic profiling (CGP) to the forefront. However, differences in assay, bioinformatics, and reporting systems and lack of understanding of their complex interplay are a challenge for implementation and achieving uniformity in CGP testing. Two commercially available, tissue-based, in-house CGP assays were compared, in combination with a tertiary analysis solution in a research use only (RUO) context: the AVENIO Tumor Tissue CGP RUO Kit paired with navify Mutation Profiler (RUO) software and the TruSight Oncology 500 RUO assay paired with PierianDx Clinical Genomics Workspace software. Agreements and differences between the assays were assessed for short variants (SVs), copy number alterations (CNAs), rearrangements, tumor mutational burden (TMB), and microsatellite instability (MSI), including variant categorization and clinical trial-matching (CTM) recommendations. Results showed good overall agreement for SV, known gene fusion, and MSI detection. Important differences were obtained in TMB scoring, CNA detection, and CTM. Differences in variant and biomarker detection could be explained by bioinformatic approaches to variant calling, filtering, tiering, and normalization; differences in CTM, by underlying reported variants and conceptual differences in system parameters. Thus, distinctions between different approaches may lead to inconsistent results. Complexities in calling, filtering, and interpreting variants illustrate key considerations for implementation of any high-quality CGP in the laboratory and bringing uniformity to genomic insight results.
ISSN:1943-7811
DOI:10.1016/j.jmoldx.2024.08.001