Evidence map›Paper›PMID 32873154›Full record

ArticleOpen biology2020

Phenotypes from cell-free DNA.

Alexis Zukowski, Satyanarayan Rao, Srinivas Ramachandran

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cell-Free DNA-Based Methods to Map Chromatin.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Isolation and Characterization of Cell-Free DNA from Cerebral Organoids.International journal of molecular sciences · 2024
    Article
  9. Hypobaric hypoxia modulated structural characteristics of circulating cell-free DNA in high-altitude pulmonary edema.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

3 authors at 1 institution in 1 country.

Alexis ZukowskiRNA Bioscience Initiative, and Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Mail Stop: 8101, 12801 East 17th Avenue L18-9102, Aurora, CO 80045, USA.
Satyanarayan RaoRNA Bioscience Initiative, and Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Mail Stop: 8101, 12801 East 17th Avenue L18-9102, Aurora, CO 80045, USA.
Srinivas RamachandranRNA Bioscience Initiative, and Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Mail Stop: 8101, 12801 East 17th Avenue L18-9102, Aurora, CO 80045, USA.
University of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigenomic methods that assess disease beyond the scope of mutant tumour genotyping. Detection of tumour mutations is the gold standard for sequencing methods in clinical oncology. However, limitations inherent to mutation targeting in cfDNA, and the possibilities of uncovering molecular mechanisms underlying disease, have made epigenomics of cfDNA an exciting alternative. We discuss the epigenomic information revealed by cfDNA, and how epigenomic methods exploit cfDNA to detect and characterize cancer. Future applications of cfDNA epigenomic methods to act complementarily and orthogonally to current clinical practices has the potential to transform cancer management and improve cancer patient outcomes.

Indexed as

BiomarkersCell-Free Nucleic AcidsPhenotypeChromatinChromatin Assembly and DisassemblyChromatin ImmunoprecipitationClinical Decision-MakingDisease ManagementDNA MethylationEpigenesis, GeneticEpigenomicsGene ExpressionHistonesHumansNucleosomesOutcome Assessment, Health CareBiomarkersCell-Free Nucleic AcidsChromatinHistonesNucleosomescancer biomarkercell-free DNAchromatin dynamicsDNA methylationsubnucleosomes

Identifiers

PMID32873154
PMCPMC7536073
OpenAlexW3081817368

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.