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The impact of whole genome and transcriptome analysis ( WGTA ) on predictive biomarker discovery and diagnostic accuracy of advanced malignancies
Author(s) -
TessierCloutier Basile,
Grewal Jasleen K,
Jones Martin R,
Pleasance Erin,
Shen Yaoqing,
Cai Ellen,
Dunham Chris,
Hoang Lynn,
Horst Basil,
Huntsman David G,
Ionescu Diana,
Karnezis Anthony N,
Lee Anna F,
Lee Cheng Han,
Lee Tae Hoon,
Twa David DW,
Mungall Andrew J,
Mungall Karen,
Naso Julia R,
Ng Tony,
Schaeffer David F,
Sheffield Brandon S,
Skinnider Brian,
Smith Tyler,
Williamson Laura,
Zhong Ellia,
Regier Dean A,
Laskin Janessa,
Marra Marco A,
Gilks C Blake,
Jones Steven JM,
Yip Stephen
Publication year - 2022
Publication title -
the journal of pathology: clinical research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.849
H-Index - 21
ISSN - 2056-4538
DOI - 10.1002/cjp2.265
Subject(s) - medicine , cancer , oncology , transcriptome , biomarker , disease , bioinformatics , pathology , biology , gene , gene expression , biochemistry
In this study, we evaluate the impact of whole genome and transcriptome analysis (WGTA) on predictive molecular profiling and histologic diagnosis in a cohort of advanced malignancies. WGTA was used to generate reports including molecular alterations and site/tissue of origin prediction. Two reviewers analyzed genomic reports, clinical history, and tumor pathology. We used National Comprehensive Cancer Network (NCCN) consensus guidelines, Food and Drug Administration (FDA) approvals, and provincially reimbursed treatments to define genomic biomarkers associated with approved targeted therapeutic options (TTOs). Tumor tissue/site of origin was reassessed for most cases using genomic analysis, including a machine learning algorithm (Supervised Cancer Origin Prediction Using Expression [SCOPE]) trained on The Cancer Genome Atlas data. WGTA was performed on 652 cases, including a range of primary tumor types/tumor sites and 15 malignant tumors of uncertain histogenesis (MTUH). At the time WGTA was performed, alterations associated with an approved TTO were identified in 39 (6%) cases; 3 of these were not identified through routine pathology workup. In seven (1%) cases, the pathology workup either failed, was not performed, or gave a different result from the WGTA. Approved TTOs identified by WGTA increased to 103 (16%) when applying 2021 guidelines. The histopathologic diagnosis was reviewed in 389 cases and agreed with the diagnostic consensus after WGTA in 94% of non‐MTUH cases ( n  = 374). The remainder included situations where the morphologic diagnosis was changed based on WGTA and clinical data (0.5%), or where the WGTA was non‐contributory (5%). The 15 MTUH were all diagnosed as specific tumor types by WGTA. Tumor board reviews including WGTA agreed with almost all initial predictive molecular profile and histopathologic diagnoses. WGTA was a powerful tool to assign site/tissue of origin in MTUH. Current efforts focus on improving therapeutic predictive power and decreasing cost to enhance use of WGTA data as a routine clinical test.

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