RNA Sequencing for Solid Tumor Fusion Gene Detection: Proficiency Testing Practice and Performance Comparison.


Journal

Archives of pathology & laboratory medicine
ISSN: 1543-2165
Titre abrégé: Arch Pathol Lab Med
Pays: United States
ID NLM: 7607091

Informations de publication

Date de publication:
03 Aug 2023
Historique:
accepted: 24 05 2023
medline: 3 8 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: aheadofprint

Résumé

Next-generation sequencing-based approaches using RNA have increasingly been used by clinical laboratories for the detection of fusion genes, intragenic rearrangements, and exon-skipping events. Correspondingly, the College of American Pathologists (CAP) has advanced RNA sequencing proficiency testing (PT) to ensure optimal performance of these assays. To report on laboratory performance and practices of RNA sequencing for the detection of fusion genes, intragenic rearrangements, and exon-skipping events using CAP PT data from 8 mailings (2018-A through 2021-B). CAP PT RNA sequencing program results from 153 laboratories across 24 proficiency test specimens, interrogating 22 distinct engineered fusion transcripts, were analyzed for correct identification of the fusion event, associated performance variables, and laboratory practices. Overall, the 4-year program detection rate (sensitivity) was 95.5% (1486 of 1556 results). False-negative rates were 3.6% (53 of 1463) and 18.3% (17 of 93) for fusion gene and intragenic rearrangement/exon-skipping events, respectively. Only 19 false-positive results were reported among the 8 PT mailings, and most were likely the result of preanalytical or postanalytical errors. There were no practice characteristics (eg, instrumentation, sequencing method) significantly associated with the fusion detection results. These data reveal a high overall sensitivity and specificity for fusion gene detection by participating laboratories using clinical RNA sequencing. Performance was comparable across all laboratories, regardless of methodology. The fraction of false-negative results for intragenic rearrangement/exon-skipping events was greater than that for the chimeric fusion genes. False-negative results could not be attributed to any specific practice characteristics.

Identifiants

pubmed: 37535666
pii: 494752
doi: 10.5858/arpa.2023-0047-CP
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 College of American Pathologists.

Auteurs

Julia A Bridge (JA)

From the Division of Cytogenetic and Molecular Pathology, ProPath, Dallas, Texas (Bridge).
The Department of Pathology & Microbiology, University of Nebraska Medical Center, Omaha (Bridge).

Kevin C Halling (KC)

The Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Halling).

Joel T Moncur (JT)

The Office of the Director, the Joint Pathology Center, Silver Spring, Maryland (Moncur).

Rhona J Souers (RJ)

The Biostatistics Department, College of American Pathologists, Northfield, Illinois (Souers).

Meera R Hameed (MR)

The Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York (Hameed).

Helen Fernandes (H)

The Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, New York (Fernandes).

Angshumoy Roy (A)

The Department of Pathology, Texas Children's Hospital and Baylor College of Medicine, Houston (Roy, Lopez-Terrada).

Lea Surrey (L)

The Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (Surrey).

Laura J Tafe (LJ)

The Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire (Tafe).

Patricia Vasalos (P)

Proficiency Testing, College of American Pathologists, Northfield, Illinois (Vasalos).

Dolores H Lopez-Terrada (DH)

The Department of Pathology, Texas Children's Hospital and Baylor College of Medicine, Houston (Roy, Lopez-Terrada).
The Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston (Lopez-Terrada).

Classifications MeSH