Cell-Free-DNA-Based Copy Number Index Score in Epithelial Ovarian Cancer-Impact for Diagnosis and Treatment Monitoring.

debulking surgery disease monitoring epithelial ovarian cancer high-grade liquid biopsy tumor burden

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
30 Dec 2021
Historique:
received: 12 11 2021
revised: 16 12 2021
accepted: 20 12 2021
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 12 1 2022
Statut: epublish

Résumé

Chromosomal instability, a hallmark of cancer, results in changes in the copy number state. These deviant copy number states can be detected in the cell-free DNA (cfDNA) and provide a quantitative measure of the ctDNA levels by converting cfDNA next-generation sequencing results into a genome-wide copy number instability score (CNI-Score). Our aim was to determine the role of the CNI-Score in detecting epithelial ovarian cancer (EOC) and its role as a marker to monitor the response to treatment. Blood samples were prospectively collected from 109 patients with high-grade EOC. cfDNA was extracted and analyzed using a clinical-grade assay designed to calculate a genome-wide CNI-Score from low-coverage sequencing data. Stored data from 241 apparently healthy controls were used as a reference set. Comparison of the CNI-Scores of primary EOC patients versus controls yielded sensitivities of 91% at a specificity of 95% to detect OC, respectively. Significantly elevated CNI-Scores were detected in primary (median: 87, IQR: 351) and recurrent (median: 346, IQR: 1891) blood samples. Substantially reduced CNI-Scores were detected after primary debulking surgery. Using a cut-off of 24, a diagnostic sensitivity of 87% for primary and recurrent EOC was determined at a specificity of 95%. CNI-Scores above this threshold were detected in 21/23 primary tumor (91%), 36/42 of platinum-eligible recurrent (85.7%), and 19/22 of non-platinum-eligible recurrent (86.3%) samples, respectively. ctDNA-quantification based on genomic instability determined by the CNI-Score was a biomarker with high diagnostic accuracy in high-grade EOC. The applied assay might be a promising tool for diagnostics and therapy monitoring, as it requires no a priori information about the tumor.

Sections du résumé

BACKGROUND BACKGROUND
Chromosomal instability, a hallmark of cancer, results in changes in the copy number state. These deviant copy number states can be detected in the cell-free DNA (cfDNA) and provide a quantitative measure of the ctDNA levels by converting cfDNA next-generation sequencing results into a genome-wide copy number instability score (CNI-Score). Our aim was to determine the role of the CNI-Score in detecting epithelial ovarian cancer (EOC) and its role as a marker to monitor the response to treatment.
METHODS METHODS
Blood samples were prospectively collected from 109 patients with high-grade EOC. cfDNA was extracted and analyzed using a clinical-grade assay designed to calculate a genome-wide CNI-Score from low-coverage sequencing data. Stored data from 241 apparently healthy controls were used as a reference set.
RESULTS RESULTS
Comparison of the CNI-Scores of primary EOC patients versus controls yielded sensitivities of 91% at a specificity of 95% to detect OC, respectively. Significantly elevated CNI-Scores were detected in primary (median: 87, IQR: 351) and recurrent (median: 346, IQR: 1891) blood samples. Substantially reduced CNI-Scores were detected after primary debulking surgery. Using a cut-off of 24, a diagnostic sensitivity of 87% for primary and recurrent EOC was determined at a specificity of 95%. CNI-Scores above this threshold were detected in 21/23 primary tumor (91%), 36/42 of platinum-eligible recurrent (85.7%), and 19/22 of non-platinum-eligible recurrent (86.3%) samples, respectively.
CONCLUSION CONCLUSIONS
ctDNA-quantification based on genomic instability determined by the CNI-Score was a biomarker with high diagnostic accuracy in high-grade EOC. The applied assay might be a promising tool for diagnostics and therapy monitoring, as it requires no a priori information about the tumor.

Identifiants

pubmed: 35008332
pii: cancers14010168
doi: 10.3390/cancers14010168
pmc: PMC8750971
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Elena Ioana Braicu (EI)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Andreas du Bois (A)

Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.

Jalid Sehouli (J)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Julia Beck (J)

Chronix Biomedical GmbH, 37079 Goettingen, Germany.
Liquid Biopsy Center GmbH, 37075 Goettingen, Germany.

Sonia Prader (S)

Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.
Department of Obstetrics and Gynecology, General Hospital (SABES-ASDAA), 39042 Brixen-Bressanone, Italy.
Department of Obstetrics and Gynecology, Innsbruck Medical University, 6020 Innsbruck, Austria.

Hagen Kulbe (H)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Bernd Eiben (B)

Liquid Biopsy Center GmbH, 37075 Goettingen, Germany.
Amedes Genetics, 30625 Hannover, Germany.

Philipp Harter (P)

Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.

Alexander Traut (A)

Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.

Klaus Pietzner (K)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Ralf Glaubitz (R)

Liquid Biopsy Center GmbH, 37075 Goettingen, Germany.
Amedes Genetics, 30625 Hannover, Germany.

Beyhan Ataseven (B)

Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.
Department of Obstetrics and Gynecology, University Hospital, LMU Munich, 81675 Munich, Germany.

Radoslav Chekerov (R)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Christoph Keck (C)

Amedes Genetics, 30625 Hannover, Germany.

Thomas Winkler (T)

Liquid Biopsy Center GmbH, 37075 Goettingen, Germany.
Amedes Genetics, 30625 Hannover, Germany.

Sebastian Heikaus (S)

Center for Pathology, Kliniken Essen-Mitte, 45122 Essen, Germany.

Peggy Gellendin (P)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.

Ekkehard Schütz (E)

Chronix Biomedical GmbH, 37079 Goettingen, Germany.
Liquid Biopsy Center GmbH, 37075 Goettingen, Germany.

Florian Heitz (F)

Department for Gynecology with the Center for Oncologic Surgery Charité Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12169 Berlin, Germany.
Department for Gynecology and Gynecologic Oncology, Kliniken Essen-Mitte, 45136 Essen, Germany.

Classifications MeSH