Diagnosis of uncommon renal epithelial neoplasms: performances of fluorescence in situ hybridization.


Journal

Human pathology
ISSN: 1532-8392
Titre abrégé: Hum Pathol
Pays: United States
ID NLM: 9421547

Informations de publication

Date de publication:
10 2019
Historique:
received: 19 06 2019
revised: 08 08 2019
accepted: 09 08 2019
pubmed: 23 8 2019
medline: 11 6 2020
entrez: 23 8 2019
Statut: ppublish

Résumé

Renal cell carcinomas (RCC) are divided in several subtypes, characterized by morphological and histological features, protein expression patterns and genetics criteria. The main subtypes include Clear cell renal cell carcinoma (CCRCC), Papillary RCC (PRCC), Chromophobe RCC (ChRCC), oncocytoma, TFE3 and TFEB Translocation renal cell carcinoma (TRCC). In most cases, RCC can be easily classified according to histological criteria and immunohistochemistry. Nevertheless, the subtyping process can be more complex in some cases: differential diagnosis (CCRCC or TFE3 TRCC, PRCC or TFE3 TRCC, oncocytic tumors corresponding to ChRCC or oncocytoma), molecular confirmation (TFEB TRCC) and unclassified RCC. Complementary analyses are required such as fluorescence in situ hybridization (FISH) for the detection of chromosomal abnormalities associated to each subtype. In this aim, this study assessed the performance of FISH analysis in the histological classification of 359 RCC exhibiting unusual histological characteristics and/or occurring in young people. FISH probes were selected according to the histological features of each tumor. FISH analysis contributed to the histological classification in 73% of the RCC (261/359). Conversely, FISH did not contribute to the diagnosis in 19% of the cases (69/359) and a hybridization failure was observed for the remaining tumors (8%; 29/359). Considering the different RCC subtypes, FISH analysis was highly efficient to confirm the histological diagnosis of CCRCC, PRCC, and TFE3 TRCC and to identify abnormalities of the TFEB gene. However, this strategy showed some limitations for the diagnosis of oncocytic tumors and unclassified RCC, suggesting that additional molecular assays should be evaluated in these cases.

Identifiants

pubmed: 31437522
pii: S0046-8177(19)30138-8
doi: 10.1016/j.humpath.2019.08.005
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

81-90

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Marion Beaumont (M)

Service de Cytogénétique et Biologie Cellulaire, CHU de Rennes, 35000 Rennes, France.

Frédéric Dugay (F)

Service de Cytogénétique et Biologie Cellulaire, CHU de Rennes, 35000 Rennes, France; Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, environnement et travail) - UMR_S1085, 35000 Rennes, France.

Solène-Florence Kammerer-Jacquet (SF)

Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, environnement et travail) - UMR_S1085, 35000 Rennes, France; Service d'Anatomie et Cytologie Pathologiques, CHU de Rennes, 35000 Rennes, France.

Sylvie Jaillard (S)

Service de Cytogénétique et Biologie Cellulaire, CHU de Rennes, 35000 Rennes, France; Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, environnement et travail) - UMR_S1085, 35000 Rennes, France.

Florian Cabillic (F)

Service de Cytogénétique et Biologie Cellulaire, CHU de Rennes, 35000 Rennes, France.

Romain Mathieu (R)

Service d'Urologie, CHU Rennes, 35000 Rennes, France.

Gregory Verhoest (G)

Service d'Urologie, CHU Rennes, 35000 Rennes, France.

Karim Bensalah (K)

Service d'Urologie, CHU Rennes, 35000 Rennes, France.

Nathalie Rioux-Leclercq (N)

Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, environnement et travail) - UMR_S1085, 35000 Rennes, France; Service d'Anatomie et Cytologie Pathologiques, CHU de Rennes, 35000 Rennes, France.

Marc-Antoine Belaud-Rotureau (MA)

Service de Cytogénétique et Biologie Cellulaire, CHU de Rennes, 35000 Rennes, France; Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de Recherche en santé, environnement et travail) - UMR_S1085, 35000 Rennes, France. Electronic address: marc-antoine.belaud-rotureau@univ-rennes1.fr.

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Classifications MeSH