Whole-genome/exome analysis of circulating tumor DNA and comparison to tumor genomics from patients with heavily pre-treated ovarian cancer: subset analysis of the PERMED-01 trial.

circulating tumor DNA copy number alterations low-coverage whole-genome sequencing mutations ovarian cancer tumor mutation burden whole-exome sequencing

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2022
Historique:
received: 17 05 2022
accepted: 05 07 2022
entrez: 15 8 2022
pubmed: 16 8 2022
medline: 16 8 2022
Statut: epublish

Résumé

The poor prognosis of ovarian carcinoma (OvC) is due to the advanced stage at diagnosis, a high risk of relapse after first-line therapies, and the lack of efficient treatments in the recurrence setting. Circulating tumor DNA (ctDNA) analysis is a promising tool to assess treatment-resistant OvC and may avoid iterative tissue biopsies. We aimed to evaluate the genomic profile of recurrent heavily pre-treated OvC. We performed tumor panel-based sequencing as well as low-coverage whole-genome sequencing (LC-WGS) of tumor and plasma collected in patients with ovarian cancer included in the PERMED-01 trial. Whole-exome sequencing (WES) data of plasma samples were also analyzed and compared to mutation and copy number alteration (CNA) tumor profiles. The prognostic value [progression-free survival (PFS)] of these alterations was assessed in an exploratory analysis. Tumor and plasma genomic analyses were done for 24 patients with heavily pretreated OvC [67% high-grade serous carcinoma (HGSC)]. Tumor mutation burden was low (median 2.04 mutations/Mb) and the most frequent mutated gene was Combination of LC-WGS and WES can detect ctDNA in most pre-treated OvCs. Some ctDNA characteristics, such as genome altered fraction and plasma mutation burden, showed prognostic value. ctDNA assessment with LC-WGS may be a promising and non-expansive tool to evaluate disease evolution in this disease with high genomic instability. https://clinicaltrials.gov/ct2/show/NCT02342158, identifier NCT02342158.

Identifiants

pubmed: 35965534
doi: 10.3389/fonc.2022.946257
pmc: PMC9373051
doi:

Banques de données

ClinicalTrials.gov
['NCT02342158']

Types de publication

Journal Article

Langues

eng

Pagination

946257

Informations de copyright

Copyright © 2022 Sabatier, Garnier, Guille, Carbuccia, Pakradouni, Adelaide, Provansal, Cappiello, Rousseau, Chaffanet, Birnbaum, Mamessier, Gonçalves and Bertucci.

Déclaration de conflit d'intérêts

AnG declares nonfinancial support from Novartis (travel, accommodation, and meeting registration fees). RS declares research grants from EISAI and AstraZeneca; advisory board for Roche, GSK, and Novartis; non-financial support (travel, accommodation, and meeting registration fees) from Pfizer, Roche, GSK, BMS, and AstraZeneca. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Renaud Sabatier (R)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.
Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

Séverine Garnier (S)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Arnaud Guille (A)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Nadine Carbuccia (N)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Jihane Pakradouni (J)

Department of Clinical Research and Innovation, Institut Paoli-Calmettes, Marseille, France.

José Adelaide (J)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Magali Provansal (M)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

Maria Cappiello (M)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

Frédérique Rousseau (F)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

Max Chaffanet (M)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Daniel Birnbaum (D)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Emilie Mamessier (E)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.

Anthony Gonçalves (A)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.
Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

François Bertucci (F)

Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM-Predictive Oncology Laboratory, Marseille, France.
Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes-Department of Medical Oncology, CRCM, Marseille, France.

Classifications MeSH