Evidence map›Paper›PMID 39191772›Full record

ArticleNature communications2024

Cell-free DNA from germline TP53 mutation carriers reflect cancer-like fragmentation patterns.

Derek Wong, Maha Tageldein, Ping Luo, Erik Ensminger, Jeffrey Bruce, Leslie Oldfield, Haifan Gong, Nicholas William Fischer, Brianne Laverty, Vallijah Subasri and 7 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
    Review
  10. 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

17 authors.

Derek WongPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
Maha TageldeinPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-0165-0828
Ping LuoPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0002-0039-747X
Erik EnsmingerPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0001-5237-5179
Jeffrey BrucePrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
Leslie OldfieldPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada.
Haifan GongThe Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
Nicholas William FischerThe Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-4672-0532
Brianne LavertyDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Vallijah SubasriDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-6584-877X
Scott DavidsonGenetics and Genome Biology, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Reem KhanGenetics and Genome Biology, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Anita VillaniGenetics and Genome Biology, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Adam ShlienGenetics and Genome Biology, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.ORCID 0000-0002-0368-5370
Raymond H KimPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada. Raymond.Kim@uhn.ca.ORCID 0000-0002-2147-8674
David MalkinDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. david.malkin@sickkids.ca.ORCID 0000-0001-5752-9763
Trevor J PughPrincess Margaret Cancer Center, University Health Network, Toronto, Ontario, Canada. trevor.pugh@utoronto.ca.ORCID 0000-0002-8073-5888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline pathogenic TP53 variants predispose individuals to a high lifetime risk of developing multiple cancers and are the hallmark feature of Li-Fraumeni syndrome (LFS). Our group has previously shown that LFS patients harbor shorter plasma cell-free DNA fragmentation; independent of cancer status. To understand the functional underpinning of cfDNA fragmentation in LFS, we conducted a fragmentomic analysis of 199 cfDNA samples from 82 TP53 mutation carriers and 30 healthy TP53-wildtype controls. We find that LFS individuals exhibit an increased prevalence of A/T nucleotides at fragment ends, dysregulated nucleosome positioning at p53 binding sites, and loci-specific changes in chromatin accessibility at development-associated transcription factor binding sites and at cancer-associated open chromatin regions. Machine learning classification resulted in robust differentiation between TP53 mutant versus wildtype cfDNA samples (AUC-ROC = 0.710-1.000) and intra-patient longitudinal analysis of ctDNA fragmentation signal enabled early cancer detection. These results suggest that cfDNA fragmentation may be a useful diagnostic tool in LFS patients and provides an important baseline for cancer early detection.

Indexed as

Cell-Free Nucleic AcidsDNA FragmentationGerm-Line MutationLi-Fraumeni SyndromeTumor Suppressor Protein p53AdolescentAdultChildChromatinCirculating Tumor DNAEarly Detection of CancerFemaleHeterozygoteHumansMachine LearningMaleCell-Free Nucleic AcidsChromatinCirculating Tumor DNANucleosomesTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID39191772
PMCPMC11349871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.