Development of sensitive and robust multiplex digital PCR assays for the detection of ESR1 mutations in the plasma of metastatic breast cancer patients.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
01 05 2023
Historique:
received: 19 10 2022
revised: 14 04 2023
accepted: 20 04 2023
medline: 29 5 2023
pubmed: 28 4 2023
entrez: 27 4 2023
Statut: ppublish

Résumé

Early detection of ESR1 mutations is a key element for better personalization of the management of patients with HR+/HER2- Metastatic Breast Cancer (MBC). Analysis of circulating tumor DNA from liquid biopsies is a particularly well-suited strategy for longitudinal monitoring of such patients. Using the naica® three-color digital PCR platform, we developed a screening assay allowing the detection of 11 ESR1 mutations and designed a sequential strategy for precise mutation identification. We then applied this strategy in the analysis of plasma circulating cell-free DNA from 109 HR+/HER2- MBC patients and performed a double-blind comparison study on a subset of patients with the multiplex assay used at the Institut Curie (IC) for the PADA-1 study. Thirty-one patients (28.4%) harboured at least one ESR1 mutation, with the following frequencies: D538G (41.03%), Y537S (25.64%), E380Q (10.26%), Y537N (10.26%), "(536-540)" (7.69%), Y537C (2.56%), and L536R (2.56%). The presence of ESR1 mutation(s) was significantly associated with liver metastases (p = 0.0091). A very good agreement (91%) was observed with the IC assay. Our assays have proven to be robust and highly sensitive and are very well-suited for monitoring ESR1 mutations in the plasma of MBC patients.

Sections du résumé

BACKGROUND
Early detection of ESR1 mutations is a key element for better personalization of the management of patients with HR+/HER2- Metastatic Breast Cancer (MBC). Analysis of circulating tumor DNA from liquid biopsies is a particularly well-suited strategy for longitudinal monitoring of such patients.
MATERIALS AND METHODS
Using the naica® three-color digital PCR platform, we developed a screening assay allowing the detection of 11 ESR1 mutations and designed a sequential strategy for precise mutation identification. We then applied this strategy in the analysis of plasma circulating cell-free DNA from 109 HR+/HER2- MBC patients and performed a double-blind comparison study on a subset of patients with the multiplex assay used at the Institut Curie (IC) for the PADA-1 study.
RESULTS
Thirty-one patients (28.4%) harboured at least one ESR1 mutation, with the following frequencies: D538G (41.03%), Y537S (25.64%), E380Q (10.26%), Y537N (10.26%), "(536-540)" (7.69%), Y537C (2.56%), and L536R (2.56%). The presence of ESR1 mutation(s) was significantly associated with liver metastases (p = 0.0091). A very good agreement (91%) was observed with the IC assay.
CONCLUSION
Our assays have proven to be robust and highly sensitive and are very well-suited for monitoring ESR1 mutations in the plasma of MBC patients.

Identifiants

pubmed: 37105452
pii: S0009-8981(23)00168-7
doi: 10.1016/j.cca.2023.117366
pii:
doi:

Substances chimiques

Circulating Tumor DNA 0
Cell-Free Nucleic Acids 0

Types de publication

Randomized Controlled Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117366

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Julien Corné (J)

Department of Biology, Centre Eugène Marquis, Unicancer, Rennes, France. Electronic address: j.corne@rennes.unicancer.fr.

Véronique Quillien (V)

Department of Biology, Centre Eugène Marquis, Unicancer, Rennes, France; Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France; INSERM U1242, University of Rennes, Rennes, France.

Céline Callens (C)

Department of Genetics, Institut Curie, Paris and Saint-Cloud, France.

Pascal Portois (P)

Department of Genetics, Institut Curie, Paris and Saint-Cloud, France.

François-Clément Bidard (FC)

Department of Medical Oncology, Institut Curie, Paris and Saint-Cloud, France.

Emmanuelle Jeannot (E)

Department of Genetics, Institut Curie, Paris and Saint-Cloud, France; Department of Medical Oncology, Institut Curie, Paris and Saint-Cloud, France; Department of Pathology, Institut Curie, Paris and Saint-Cloud, France.

Florence Godey (F)

Department of Biology, Centre Eugène Marquis, Unicancer, Rennes, France; Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France; INSERM U1242, University of Rennes, Rennes, France.

Fanny Le Du (F)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Lucie Robert (L)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Héloïse Bourien (H)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Angélique Brunot (A)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Laurence Crouzet (L)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Christophe Perrin (C)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Claudia Lefeuvre-Plesse (C)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Véronique Diéras (V)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Thibault de la Motte Rouge (T)

Department of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

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Classifications MeSH