Evidence map›Paper›PMID 42286706›Full record

ArticleGenome medicine2026

Circulating DNA reveals nucleosome occupancy patterns that are associated with nucleosome-DNA affinity and are affected in cancer.

Marianne Richaud, Ekaterina Pisareva, Paul Burgat, Alain R Thierry, Jacques Colinge

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Marianne RichaudInstitut de Recherche en Cancérologie de Montpellier, Inserm U1194, Montpellier, France.
Ekaterina PisarevaInstitut de Recherche en Cancérologie de Montpellier, Inserm U1194, Montpellier, France.
Paul BurgatInstitut de Recherche en Cancérologie de Montpellier, Inserm U1194, Montpellier, France.
Alain R ThierryInstitut de Recherche en Cancérologie de Montpellier, Inserm U1194, Montpellier, France. alain.thierry@inserm.fr.
Jacques ColingeInstitut de Recherche en Cancérologie de Montpellier, Inserm U1194, Montpellier, France. jacques.colinge@umontpellier.fr.

Funding

Agence Nationale de la Recherche RHU REVEAL
6 · The paper itself

Abstract

backgroundThe study of cell-free circulating DNA (cirDNA) fragments (fragmentomics) from liquid biopsies has received increasing attention to detect biomarkers. CirDNA found in blood plasma originates from cells in diverse tissues with a predominance for hematopoietic cells. CirDNA fragments are associated with nucleosomes which protect them against DNAse degradation.

methodsThe genomic positions of CirDNA fragments originating from different cohorts of healthy individual and cancer patients were obtained from the public database FinaleDB. Various bioinformatic and statistical analyses were conducted on these fragments.

resultsBy mapping a large ensemble of well-positioned nucleosomes (WPNs), we found that nucleosome occupancy was associated with histone-DNA affinity, as evidenced by codon usage bias and differences in cirDNA fragment sizes. Moreover, nucleosome occupancy was different in healthy and cancer samples, thus allowing developing a high-performance machine learning approach for cancer detection (specificity and sensitivity > 0.95 for seven cancer types). Cancer influenced nucleosome occupancy in a global manner, although distinct cancer types retained specific features. WPN occupancy at transcription factor binding sites revealed shared, pan-cancer regulation of transcriptional programs involved in hematopoietic cell differentiation and neutrophil biology, the main cirDNA sources.

conclusionsThis work provides new fundamental insights into cirDNA and DNA sequence using cirDNA as a physical readout. It also bares translational significance by disclosing a new high-performance strategy for cancer detection from liquid biopsies.

Indexed as

Cell-Free Nucleic AcidsDNANeoplasmsNucleosomesBiomarkers, TumorComputational BiologyHistonesHumansMachine LearningBiomarkers, TumorCell-Free Nucleic AcidsDNAHistonesNucleosomesCancer biomarkerCirculating DNAFragmentomicsLiquid biopsyMachine learning.Nucleosome

Identifiers

PMID42286706
PMCPMC13495171

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.