Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer

Abstract Fragmentation patterns of plasma cell-free DNA (cfDNA) are known to reflect nucleosome positions of cell types contributing to cfDNA. Based on cfDNA fragmentation patterns, the deviation in nucleosome footprints was quantified between diagnosed ovarian cancer patients and healthy individual...

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Main Authors: Adriaan Vanderstichele, Pieter Busschaert, Chiara Landolfo, Siel Olbrecht, An Coosemans, Wouter Froyman, Liselore Loverix, Nicole Concin, Elena Ioana Braicu, Pauline Wimberger, Els Van Nieuwenhuysen, Sileny N. Han, Toon Van Gorp, Tom Venken, Ruben Heremans, Patrick Neven, Tom Bourne, Ben Van Calster, Dirk Timmerman, Diether Lambrechts, Ignace Vergote
Format: Article
Language:English
Published: Nature Portfolio 2022-04-01
Series:npj Genomic Medicine
Online Access:https://doi.org/10.1038/s41525-022-00300-5
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author Adriaan Vanderstichele
Pieter Busschaert
Chiara Landolfo
Siel Olbrecht
An Coosemans
Wouter Froyman
Liselore Loverix
Nicole Concin
Elena Ioana Braicu
Pauline Wimberger
Els Van Nieuwenhuysen
Sileny N. Han
Toon Van Gorp
Tom Venken
Ruben Heremans
Patrick Neven
Tom Bourne
Ben Van Calster
Dirk Timmerman
Diether Lambrechts
Ignace Vergote
author_facet Adriaan Vanderstichele
Pieter Busschaert
Chiara Landolfo
Siel Olbrecht
An Coosemans
Wouter Froyman
Liselore Loverix
Nicole Concin
Elena Ioana Braicu
Pauline Wimberger
Els Van Nieuwenhuysen
Sileny N. Han
Toon Van Gorp
Tom Venken
Ruben Heremans
Patrick Neven
Tom Bourne
Ben Van Calster
Dirk Timmerman
Diether Lambrechts
Ignace Vergote
author_sort Adriaan Vanderstichele
collection DOAJ
description Abstract Fragmentation patterns of plasma cell-free DNA (cfDNA) are known to reflect nucleosome positions of cell types contributing to cfDNA. Based on cfDNA fragmentation patterns, the deviation in nucleosome footprints was quantified between diagnosed ovarian cancer patients and healthy individuals. Multinomial modeling was subsequently applied to capture these deviations in a per sample nucleosome footprint score. Validation was performed in 271 cfDNAs pre-surgically collected from women with an adnexal mass. We confirmed that nucleosome scores were elevated in invasive carcinoma patients, but not in patients with benign or borderline disease. Combining nucleosome scores with chromosomal instability scores assessed in the same cfDNA improved prediction of malignancy. Nucleosome scores were, however, more reliable to predict non-high-grade serous ovarian tumors, which are characterized by low chromosomal instability. These data highlight that compared to chromosomal instability, nucleosome footprinting provides a complementary and more generic read-out for pre-surgical diagnosis of invasive disease in women with adnexal masses.
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spelling doaj.art-6571537f895e4d2b8a539a4af5fd11762022-12-22T02:35:40ZengNature Portfolionpj Genomic Medicine2056-79442022-04-01711910.1038/s41525-022-00300-5Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancerAdriaan Vanderstichele0Pieter Busschaert1Chiara Landolfo2Siel Olbrecht3An Coosemans4Wouter Froyman5Liselore Loverix6Nicole Concin7Elena Ioana Braicu8Pauline Wimberger9Els Van Nieuwenhuysen10Sileny N. Han11Toon Van Gorp12Tom Venken13Ruben Heremans14Patrick Neven15Tom Bourne16Ben Van Calster17Dirk Timmerman18Diether Lambrechts19Ignace Vergote20Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Development and Regeneration, KU LeuvenDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Gynecology, Campus Virchow, Charité, Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of HealthNational Center for Tumor Diseases (NCT)Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteVIB Center for Cancer BiologyDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteDepartment of Development and Regeneration, KU LeuvenDepartment of Development and Regeneration, KU LeuvenDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteVIB Center for Cancer BiologyDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer InstituteAbstract Fragmentation patterns of plasma cell-free DNA (cfDNA) are known to reflect nucleosome positions of cell types contributing to cfDNA. Based on cfDNA fragmentation patterns, the deviation in nucleosome footprints was quantified between diagnosed ovarian cancer patients and healthy individuals. Multinomial modeling was subsequently applied to capture these deviations in a per sample nucleosome footprint score. Validation was performed in 271 cfDNAs pre-surgically collected from women with an adnexal mass. We confirmed that nucleosome scores were elevated in invasive carcinoma patients, but not in patients with benign or borderline disease. Combining nucleosome scores with chromosomal instability scores assessed in the same cfDNA improved prediction of malignancy. Nucleosome scores were, however, more reliable to predict non-high-grade serous ovarian tumors, which are characterized by low chromosomal instability. These data highlight that compared to chromosomal instability, nucleosome footprinting provides a complementary and more generic read-out for pre-surgical diagnosis of invasive disease in women with adnexal masses.https://doi.org/10.1038/s41525-022-00300-5
spellingShingle Adriaan Vanderstichele
Pieter Busschaert
Chiara Landolfo
Siel Olbrecht
An Coosemans
Wouter Froyman
Liselore Loverix
Nicole Concin
Elena Ioana Braicu
Pauline Wimberger
Els Van Nieuwenhuysen
Sileny N. Han
Toon Van Gorp
Tom Venken
Ruben Heremans
Patrick Neven
Tom Bourne
Ben Van Calster
Dirk Timmerman
Diether Lambrechts
Ignace Vergote
Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
npj Genomic Medicine
title Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
title_full Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
title_fullStr Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
title_full_unstemmed Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
title_short Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer
title_sort nucleosome footprinting in plasma cell free dna for the pre surgical diagnosis of ovarian cancer
url https://doi.org/10.1038/s41525-022-00300-5
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