Evidence map›Paper›PMID 42103785›Full record

ArticleNature communications2026

Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations.

Ze Zhou, Wendy N Cooper, Zhao Cheng, Sara Lightowlers, Charlotte E Coles, Amit Roshan, Nitzan Rosenfeld, Hui Zhao

Abstract read
In one paragraph

Article in Nature 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ze ZhouCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK. ze.zhou@qmul.ac.uk.ORCID http://orcid.org/0009-0002-4522-182X
Wendy N CooperCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0003-3416-9982
Zhao ChengCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK.ORCID http://orcid.org/0000-0002-3514-240X
Sara LightowlersDepartment of Oncology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Charlotte E ColesDepartment of Oncology, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0003-4473-8552
Amit RoshanCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK. a.roshan@qmul.ac.uk.ORCID http://orcid.org/0000-0002-2034-2759
Nitzan RosenfeldCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK. n.rosenfeld@qmul.ac.uk.ORCID http://orcid.org/0000-0002-2825-4788
Hui ZhaoCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, UK. huizhao@qmul.ac.uk.ORCID http://orcid.org/0009-0009-2818-2911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of cell-free DNA (cfDNA) fragmentomic features holds great promise for minimally invasive cancer diagnostics. Although selectively analyzing short plasma cfDNA enriches tumor-derived DNA (ctDNA), the mechanisms shaping cfDNA size profiles remain incompletely understood. Here, we develop a generalized model of cfDNA fragment length distributions across multiple bodily fluids (saliva, urine, cerebrospinal fluid, lymphatic fluid, and plasma), deconvoluting size profiles into ~10-bp periodic peaks (components), each approximated by a Cauchy-Lorentz distribution. This analytical framework enables investigation of cfDNA fragmentation across diverse pathological states and reveals a 159-bp component that may demarcate intra- and inter-nucleosomal cfDNA. By analyzing plasma DNA from individuals harboring germline TP53 mutations, patients receiving radiotherapy, and liver transplantation recipients, we demonstrate that ctDNA shortening can be distinguished from phagocytosis-associated cfDNA shortening through differences in the amplitude and scale parameters of intra- and inter-nucleosomal components. Moreover, leveraging tumor-related fragmentomic alterations, characterized by increased fragmentation entropy identified through cfDNA size deconvolution, significantly enhances cancer detection.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNANeoplasmsNucleosomesBiomarkers, TumorHumansMutationTumor Suppressor Protein p53Biomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNANucleosomesTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID42103785
PMCPMC13369908

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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.