Evidence map›Paper›PMID 38472221›Full record

ArticleNature communications2024

Cell type signatures in cell-free DNA fragmentation profiles reveal disease biology.

Kate E Stanley, Tatjana Jatsenko, Stefania Tuveri, Dhanya Sudhakaran, Lore Lannoo, Kristel Van Calsteren, Marie de Borre, Ilse Van Parijs, Leen Van Coillie, Kris Van Den Bogaert and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
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

56 citing papers in PubMed.

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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

18 authors.

Kate E StanleyDepartment of Human Genetics, Laboratory for Cytogenetics and Genome Research, KU Leuven, Leuven, Belgium.
Tatjana JatsenkoDepartment of Human Genetics, Laboratory for Cytogenetics and Genome Research, KU Leuven, Leuven, Belgium.
Stefania TuveriDepartment of Human Genetics, Laboratory for Cytogenetics and Genome Research, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4051-4295
Dhanya SudhakaranDepartment of Human Genetics, Laboratory for Cytogenetics and Genome Research, KU Leuven, Leuven, Belgium.
Lore LannooDepartment of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-6271-221X
Kristel Van CalsterenDepartment of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium.
Marie de BorreDepartment of Human Genetics, Laboratory for Functional Epigenetics, KU Leuven, Leuven, Belgium.
Ilse Van ParijsCenter for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Leen Van CoillieCenter for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Kris Van Den BogaertCenter for Human Genetics, University Hospitals Leuven, Leuven, Belgium.
Rodrigo De Almeida ToledoVall d'Hebron Institute of Oncology, Barcelona (VHIO), Spain.ORCID 0000-0003-3070-6795
Liesbeth LenaertsDepartment of Oncology, Gynecological Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0003-3565-2319
Sabine TejparDepartment of Oncology, Molecular Digestive Oncology, KU Leuven, Leuven, Belgium.ORCID 0000-0003-3281-8643
Kevin PunieMultidisciplinary Breast Centre, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium.ORCID 0000-0002-1162-7963
Laura Y RengifoDepartment of Human Genetics, Laboratory of Genetics of Malignant Diseases, KU Leuven, Leuven, Belgium.ORCID 0000-0002-3287-2255
Peter VandenbergheDepartment of Human Genetics, Laboratory of Genetics of Malignant Diseases, KU Leuven, Leuven, Belgium.
Bernard ThienpontDepartment of Human Genetics, Laboratory for Functional Epigenetics, KU Leuven, Leuven, Belgium.ORCID 0000-0002-8772-6845
Joris Robert VermeeschDepartment of Human Genetics, Laboratory for Cytogenetics and Genome Research, KU Leuven, Leuven, Belgium. joris.vermeesch@kuleuven.be.ORCID 0000-0002-3071-1191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating cell-free DNA (cfDNA) fragments have characteristics that are specific to the cell types that release them. Current methods for cfDNA deconvolution typically use disease tailored marker selection in a limited number of bulk tissues or cell lines. Here, we utilize single cell transcriptome data as a comprehensive cellular reference set for disease-agnostic cfDNA cell-of-origin analysis. We correlate cfDNA-inferred nucleosome spacing with gene expression to rank the relative contribution of over 490 cell types to plasma cfDNA. In 744 healthy individuals and patients, we uncover cell type signatures in support of emerging disease paradigms in oncology and prenatal care. We train predictive models that can differentiate patients with colorectal cancer (84.7%), early-stage breast cancer (90.1%), multiple myeloma (AUC 95.0%), and preeclampsia (88.3%) from matched controls. Importantly, our approach performs well in ultra-low coverage cfDNA datasets and can be readily transferred to diverse clinical settings for the expansion of liquid biopsy.

Indexed as

Cell-Free Nucleic AcidsBiologyBiomarkers, TumorDNA FragmentationHumansTranscriptomeBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID38472221
PMCPMC10933257

What OpenQuestion holds

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Registered trials

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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.