Evidence map›Paper›PMID 35484288›Full record

ArticleNPJ genomic medicine2022

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

Adriaan Vanderstichele, Pieter Busschaert, Chiara Landolfo, Siel Olbrecht, An Coosemans, Wouter Froyman, Liselore Loverix, Nicole Concin, Elena Ioana Braicu, Pauline Wimberger and 11 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Military Medical Research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Circulating Histones to Detect and Monitor the Progression of Cancer.International journal of molecular sciences · 2023
    Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 7 institutions in 5 countries.

Adriaan Vanderstichele *Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.ORCID http://orcid.org/0000-0002-3984-2948
Pieter Busschaert *Department of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Chiara LandolfoDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Siel OlbrechtDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
An CoosemansDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.ORCID http://orcid.org/0000-0002-7321-4339
Wouter FroymanDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Liselore LoverixDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Nicole ConcinDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Elena Ioana BraicuDepartment of Gynecology, Campus Virchow, Charité, Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Pauline WimbergerNational Center for Tumor Diseases (NCT), Dresden, Germany.
Els Van NieuwenhuysenDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Sileny N HanDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Toon Van GorpDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.ORCID http://orcid.org/0000-0002-2564-721X
Tom VenkenVIB Center for Cancer Biology, Leuven, Belgium.ORCID http://orcid.org/0000-0003-0773-1810
Ruben HeremansDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Patrick NevenDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Tom BourneDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1421-6059
Ben Van CalsterDepartment of Development and Regeneration, KU Leuven, Leuven, Belgium.
Dirk TimmermanDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
Diether LambrechtsVIB Center for Cancer Biology, Leuven, Belgium. diether.lambrechts@kuleuven.be.ORCID http://orcid.org/0000-0002-3429-302X
Ignace VergoteDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
KU Leuven · BEVIB-KU Leuven Center for Cancer Biology · BEImperial College London · GBGerman Cancer Society · DEHumboldt-Universität zu Berlin · DEInnsbruck Medical University · ATQueen Charlotte's and Chelsea Hospital · GB

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 12F3114NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 18B2921NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G049312NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G0B4716N
6 · The paper itself

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.

Identifiers

PMID35484288
PMCPMC9050708
OpenAlexW4225005250

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.