The sensitivity of pan-TRK immunohistochemistry in solid tumours: A meta-analysis.


Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
09 2022
Historique:
received: 15 10 2021
revised: 16 05 2022
accepted: 15 06 2022
pubmed: 8 8 2022
medline: 1 9 2022
entrez: 7 8 2022
Statut: ppublish

Résumé

Since the approval of neurotrophic tropomyosin receptor kinase (NTRK) tyrosine kinase inhibitors for fist-line advanced stage pan-cancer therapy, pathologists and molecular biologists have been facing a complex question: how should the large volume of specimens be screened for NTRK fusions? Immunohistochemistry is fast and cheap, but the sensitivity compared to RNA NGS is unclear. We performed RNA-based next-generation sequencing on 1,329 cases and stained 24 NTRK-rearranged cases immunohistochemically with pan-TRK (ERP17341). Additionally, we performed a meta-analysis of the literature. After screening 580 studies, 200 additional NTRK-rearranged cases from 13 studies, analysed with sensitive molecular diagnostics as well as pan-TRK IHC, were included. In the included 224 NTRK-rearranged solid tumours, the sensitivity for pan-TRK IHC was 82% and the false-negative rate was 18%. NTRK3 fusions had more false negatives (27%) compared to NTRK1 (6%) and NTRK2 (14%) (p = 0.0006). Membranous, nuclear and peri-nuclear staining patterns strongly correlated with different fusion products, with membranous staining being more prevalent in NTRK1 and NTRK2, nuclear in NTRK3, and perinuclear in NTRK1. Despite a reduction in the number of molecular analysis, using pan-TRK immunohistochemistry as a prescreening method to detect NTRK fusions in solid tumours will miss 18% of all NTRK-fused cases (especially involving NTRK3). Therefore, the most comprehensive and optimal option to detect NTRK fusions is to perform molecular testing on all eligible cases. However, in case of financial or logistical limitations, an immunohistochemistry-first approach is defensible in tumours with a low prevalence of NTRK fusions.

Identifiants

pubmed: 35933886
pii: S0959-8049(22)00381-1
doi: 10.1016/j.ejca.2022.06.030
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Oncogene Proteins, Fusion 0
RNA 63231-63-0
Receptor, trkA EC 2.7.10.1

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

229-237

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Liesbeth M Hondelink (LM)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Anne M R Schrader (AMR)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Golzar Asri Aghmuni (G)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Nienke Solleveld-Westerink (N)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Anne-Marie Cleton-Jansen (AM)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Demi van Egmond (D)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Arnoud Boot (A)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Sarah Ouahoud (S)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Midia N Khalifa (MN)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Suk Wai Lam (S)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Hans Morreau (H)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Judith V M G Bovee (JVMG)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Tom van Wezel (T)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands.

Danielle Cohen (D)

Department of Pathology, Leiden University Medical Center (LUMC), the Netherlands. Electronic address: d.cohen@lumc.nl.

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Classifications MeSH