Evidence map›Paper›PMID 35167738›Full record

ArticleCancer research and treatment2023

Interlaboratory Comparison Study (Ring Test) of Next-Generation Sequencing-Based NTRK Fusion Detection in South Korea.

Seung Eun Lee, Mi-Sook Lee, Yoon Kyung Jeon, Hyo Sup Shim, Jun Kang, Jihun Kim, Yoon-La Choi

Abstract read
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Article in Cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Molecular and clinicopathological characteristics ofHistology and histopathology · 2026
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Seung Eun LeeDepartment of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
Mi-Sook LeeDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Yoon Kyung JeonDepartment of Pathology, Seoul National University Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Hyo Sup ShimDepartment of Pathology, Yonsei University College of Medicine, Seoul, Korea.
Jun KangDepartment of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jihun KimDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Yoon-La ChoiDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.

Funding

National Research Foundation of Korea 2016R1A5A2945889National Research Foundation of Korea 2019R1A2B5B0269979
6 · The paper itself

Abstract

purposeTropomyosin receptor kinase (TRK) inhibitors are approved for the treatment of neurotrophic receptor tyrosine kinase (NTRK) fusion-positive tumors. The detection of NTRK fusion using a validated method is required before therapeutic application. An interlaboratory comparison study of next-generation sequencing (NGS)-based NTRK gene fusion detection with validated clinical samples was conducted at six major hospitals in South Korea. MATERIALS AND

methodsA total of 18 samples, including a positive standard reference and eight positive and nine negative clinical samples, were validated using the VENTANA pan-TRK (EPR17341) and TruSight Oncology 500 assays. These samples were then tested using four different NGS panels currently being used at the six participating institutions.

resultsNTRK fusions were not detected in any of the nine negative clinical samples, demonstrating 100% specificity in all six participating institutions. All assays showed 100% analytical sensitivity to identify the NTRK fusion status in formalin-fixed paraffin-embedded (FFPE) samples, although with variable clinical sensitivity. False-negative results were due to low tumor purity, poor RNA quality, and DNA-based sequencing panel. The RNA-based targeted NGS assay showed an overall high success rate of identifying NTRK fusion status in FFPE samples.

conclusionThis study is the first to test the proficiency of NGS-based NTRK detection in South Korea with the largest participating institutions. RNA-based NGS assays to detect NTRK fusions can accurately characterize fusion transcripts if sufficient RNA of adequate quality is available. The comparative performance data will support the implementation of targeted NGS-based sequencing assays for NTRK fusion detection in routine diagnostics.

Indexed as

NeoplasmsReceptor Protein-Tyrosine KinasesHigh-Throughput Nucleotide SequencingHumansRepublic of KoreaReceptor Protein-Tyrosine KinasesNTRK fusionRing testRNA-based NGS assay

Identifiers

PMID35167738
PMCPMC9873325

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.