Evidence map›Paper›PMID 41881575›Full record

ArticleCancer research communications2026

Cell-Free DNA-Derived Immune Cell Ratios Uncover Cancer-Associated Systemic Changes.

Laura Andersen, Sia V Lindskrog, Iver Nordentoft, Amanda Frydendahl, Jesper Nors, Tenna V Henriksen, Mads H Rasmussen, Lene H Iversen, Kåre A Gotschalck, Jørgen B Jensen and 3 more

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

13 authors.

Laura AndersenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0009-0001-0223-3401
Sia V LindskrogDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-5280-7306
Iver NordentoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-4856-4086
Amanda FrydendahlDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-9552-5421
Jesper NorsDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-9104-7263
Tenna V HenriksenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-8541-1735
Mads H RasmussenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-5723-6303
Lene H IversenDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-2336-2923
Kåre A GotschalckDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-5119-2231
Jørgen B JensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-4347-739X
Lars DyrskjøtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-7061-9851
Claus L AndersenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-7406-2103
Nicolai J BirkbakDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-1613-9587

Funding

Danish Cancer Society Research Center (DCRC) R257-A14700Danish Cancer Society Research Center (DCRC) R352-A20664Lundbeck Foundation (Lundbeckfonden) R272-2017-4040Novo Nordisk Fonden (NNF) NNF21OC0071483Novo Nordisk Fonden (NNF) NNF22OC0074415Novo Nordisk Fonden (NNF) NNF23OC0085954Sygeforsikringen danmark 2020-0412
6 · The paper itself

Abstract

Genome-wide coverage patterns of plasma cell-free DNA (cfDNA) fragments reflect nucleosome positioning in the cells of origin, enabling noninvasive inference of cell type contributions and transcriptional activity. Whereas the majority of cfDNA originates from hematopoietic cells, the diagnostic and biological relevance of this fraction remains underexplored. In this study, we performed cfDNA-based deconvolution of blood cell types by integrating transcription start site (TSS) coverage profiles from plasma whole-genome sequencing with single-cell transcriptomic reference data. By correlating cfDNA TSS coverage with gene expression across 457 blood cell types, we ranked their relative contributions to the cfDNA pool. We analyzed 788 pretreatment and longitudinal plasma samples from patients with localized colorectal cancer, muscle-invasive bladder cancer (MIBC), as well as 30 samples from healthy controls. In healthy individuals, cfDNA TSS coverage profiles reflected blood gene expression, and the inferred cell type contributions recapitulated the known hematopoietic composition. In patients with cancer, we observed a significant increase in cfDNA contributions from lymphocytes, including T cells and plasma cells, and decreased contributions from monocytes and granulocytes. These immune-derived signatures distinguished patients with colorectal cancer (AUC = 0.793) and MIBC (AUC = 0.745) from healthy controls. Longitudinal analysis of immune cell type contributions revealed treatment-associated changes in the relative abundance of classic monocytes and plasma cells, although these temporal dynamics were not predictive of relapse or outcome. Together, these findings suggest that cfDNA-derived immune signatures may capture aspects of systemic immune remodeling in cancer, potentially providing a complementary noninvasive biomarker in liquid biopsies beyond tumor-derived signals. SIGNIFICANCE: There is limited understanding of how plasma cfDNA reflects systemic immune changes in cancer. We show that cfDNA coverage profiles reflect blood cell gene expression and can be used to infer blood cell ranks that recapitulate known cell compositions. These cfDNA-derived ranks reveal cancer-associated immune alterations that distinguish patients with cancer from healthy controls. Our findings highlight cfDNA as a minimally invasive biomarker of systemic immune remodeling in cancer.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsColorectal NeoplasmsUrinary Bladder NeoplasmsFemaleHumansMaleSingle-Cell Gene Expression AnalysisWhole Genome SequencingBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID41881575
PMCPMC13075467

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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.