Highly Sensitive Detection Method of Retinoblastoma Genetic Predisposition and Biomarkers.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
12 2021
Historique:
received: 31 01 2021
revised: 15 07 2021
accepted: 18 08 2021
pubmed: 18 10 2021
medline: 8 3 2022
entrez: 17 10 2021
Statut: ppublish

Résumé

Retinoblastoma is a malignant tumor of the infant retina. Nearly half of patients are predisposed to retinoblastoma by a germline RB1 pathogenic variant. Nonhereditary retinoblastoma is mainly caused by inactivation of both RB1 alleles at a somatic level. Several polymorphisms have been reported as biomarkers of retinoblastoma risk, aggressiveness, or invasion. The most informative genetic testing is obtained from tumor DNA. Historically, access to tumor DNA has been warranted by the frequent indication of enucleation, which has decreased because of advances in conservative approaches. Recent studies showed that tumor cell-free DNA can be analyzed in aqueous humor from retinoblastoma patients. This report describes a next-generation sequencing method relying on unique molecular identifiers for a highly sensitive detection of retinoblastoma genetic predisposition and biomarkers in a single analysis. It is the first use of unique molecular identifiers for retinoblastoma genetics. This gene panel enables the detection of RB1 point variants, large genome rearrangements, and loss of heterozygosity. It is adapted for genomic DNA extracted from blood or tumor DNA extracted from tumor fragment, aqueous humor, or plasma. The access to tumor cell-free DNA improves the diagnosis of genetic predisposition in case of conservative ocular therapy and provides access to biomarkers guiding the treatment strategy. The analysis of a gene panel is cost-effective and can be easily implemented in diagnostic laboratories.

Identifiants

pubmed: 34656762
pii: S1525-1578(21)00323-8
doi: 10.1016/j.jmoldx.2021.08.014
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
RB1 protein, human 0
Retinoblastoma Binding Proteins 0
Ubiquitin-Protein Ligases EC 2.3.2.27

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1714-1721

Informations de copyright

Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Auteurs

Jessica Le Gall (J)

Department of Genetics, Institut Curie, Paris, France; PSL Research University, Paris, France.

Catherine Dehainault (C)

Department of Genetics, Institut Curie, Paris, France; PSL Research University, Paris, France.

Camille Benoist (C)

PSL Research University, Paris, France; Bioinformatics Unit, Institut Curie, Paris, France.

Alexandre Matet (A)

Department of Ocular Oncology, Institut Curie, Paris, France; Université de Paris, Paris, France.

Livia Lumbroso-Le Rouic (L)

PSL Research University, Paris, France; Department of Ophthalmology, Institut Curie, Paris, France.

Isabelle Aerts (I)

PSL Research University, Paris, France; Oncology Center SIREDO, Institut Curie, Paris, France.

Irene Jiménez (I)

PSL Research University, Paris, France; Oncology Center SIREDO, Institut Curie, Paris, France; INSERM U830, Institut Curie, Paris, France.

Gudrun Schleiermacher (G)

PSL Research University, Paris, France; Oncology Center SIREDO, Institut Curie, Paris, France; INSERM U830, Institut Curie, Paris, France.

Claude Houdayer (C)

Department of Genetics, Rouen University Hospital and Inserm U1245, Rouen University (UNIROUEN), Normandie University, Normandy Center for Genomic and Personalized Medicine, Rouen, France.

François Radvanyi (F)

PSL Research University, Paris, France; Molecular Oncology Team, CNRS, UMR144, Institut Curie, Paris, France.

Eleonore Frouin (E)

PSL Research University, Paris, France; Bioinformatics Unit, Institut Curie, Paris, France.

Victor Renault (V)

PSL Research University, Paris, France; Bioinformatics Unit, Institut Curie, Paris, France.

François Doz (F)

Université de Paris, Paris, France; Oncology Center SIREDO, Institut Curie, Paris, France; Centre National de la Recherche Scientifique (CNRS), UMR144, Equipe Labellisée Ligue Contre le Cancer, Institut Curie, Paris, France.

Dominique Stoppa-Lyonnet (D)

Department of Genetics, Institut Curie, Paris, France; Université de Paris, Paris, France; INSERM U830, Institut Curie, Paris, France.

Marion Gauthier-Villars (M)

Department of Genetics, Institut Curie, Paris, France; PSL Research University, Paris, France.

Nathalie Cassoux (N)

Department of Ocular Oncology, Institut Curie, Paris, France; Université de Paris, Paris, France.

Lisa Golmard (L)

Department of Genetics, Institut Curie, Paris, France; PSL Research University, Paris, France. Electronic address: lisa.golmard@curie.fr.

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Classifications MeSH