Evidence map›Paper›PMID 35894300›Full record

ArticleeLife2022

Unsupervised detection of fragment length signatures of circulating tumor DNA using non-negative matrix factorization.

Gabriel Renaud, Maibritt Nørgaard, Johan Lindberg, Henrik Grönberg, Bram De Laere, Jørgen Bjerggaard Jensen, Michael Borre, Claus Lindbjerg Andersen, Karina Dalsgaard Sørensen, Lasse Maretty and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Early Detection of Malignant and Premalignant Peripheral Nerve Tumors Using Cell-Free DNA Fragmentomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cell-Free DNA Fragmentomics: The Novel Promising Biomarker.International journal of molecular sciences · 2023
    Review
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

11 authors at 4 institutions in 3 countries.

Gabriel RenaudDepartment of Health Technology, Section of Bioinformatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Maibritt NørgaardDepartment of Molecular Medicine, Aarhus University, Aarhus, Denmark.
Johan LindbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Henrik GrönbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Bram De LaereDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Jørgen Bjerggaard JensenDepartment of Urology, Regional Hospital of West Jutland, Holstebro, Denmark.
Michael BorreDepartment of Urology, Aarhus University Hospital, Aarhus, Denmark.
Claus Lindbjerg AndersenDepartment of Molecular Medicine, Aarhus University, Aarhus, Denmark.
Karina Dalsgaard SørensenDepartment of Molecular Medicine, Aarhus University, Aarhus, Denmark.
Lasse MarettyDepartment of Molecular Medicine, Aarhus University, Aarhus, Denmark.
Søren BesenbacherDepartment of Molecular Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0003-1455-1738
Aarhus University · DKKarolinska Institutet · SEAarhus University Hospital · DKRegional Hospital West Jutland · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sequencing of cell-free DNA (cfDNA) is currently being used to detect cancer by searching both for mutational and non-mutational alterations. Recent work has shown that the length distribution of cfDNA fragments from a cancer patient can inform tumor load and type. Here, we propose non-negative matrix factorization (NMF) of fragment length distributions as a novel and completely unsupervised method for studying fragment length patterns in cfDNA. Using shallow whole-genome sequencing (sWGS) of cfDNA from a cohort of patients with metastatic castration-resistant prostate cancer (mCRPC), we demonstrate how NMF accurately infers the true tumor fragment length distribution as an NMF component - and that the sample weights of this component correlate with ctDNA levels (

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNABiomarkers, TumorGenomicsHumansMaleMutationBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNAcancer biologycancer genomicscell-free DNAgeneticsgenomicshumanliquid biopsy

Identifiers

PMID35894300
PMCPMC9363120
OpenAlexW4288050681

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.