Evidence map›Paper›PMID 30815627›Full record

ArticleJNCI cancer spectrum2018

Deoxyribonuclease I Activity, Cell-Free DNA, and Risk of Liver Cancer in a Prospective Cohort.

Rachel M Golonka, Beng San Yeoh, Jessica L Petrick, Stephanie J Weinstein, Demetrius Albanes, Andrew T Gewirtz, Katherine A McGlynn, Matam Vijay-Kumar

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2018. 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
0.6field-weighted citation impact, top 38% 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, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Role of Cell-Free DNA and Deoxyribonucleases in Tumor Progression.International journal of molecular sciences · 2021
    Review
  12. Human Recombinant DNase I (PulmozymeInternational journal of molecular sciences · 2021
    Article
  13. Review
  14. 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

8 authors at 1 institution in 1 country.

Rachel M Golonka
Beng San Yeoh
Jessica L Petrick
Stephanie J Weinstein
Demetrius Albanes
Andrew T Gewirtz
Katherine A McGlynn
Matam Vijay-Kumar
University of Toledo · US

Funding

Interplay between Dietary Fiber and Gut Microbiota in Hepatocellular CarcinomaR01CA219144 · NCI · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI VIJAY-KUMAR, MATAM · 2017 to 2021
$1.6M
NCI NIH HHS HHSN261201500005CNCI NIH HHS R01 CA219144
6 · The paper itself

Abstract

backgroundCirculating cell-free DNA (cfDNA) is a proposed latent biomarker for several cancers, including liver cancer. Deoxyribonucleases (DNases) facilitate the timely and efficient degradation of cfDNA, leading us to hypothesize that DNase I and/or II might be a more sensitive early biomarker than cfDNA. To test this hypothesis, a study was conducted in a large, prospective cohort.

methodsA nested case-control study (224 liver cancer case patients and 224 matched control subjects) was conducted in a cohort of Finnish male smokers, followed from baseline (1985-1988) to 2014. The associations among DNase I activity, cfDNA, and the risk of liver cancer were assessed using multivariable-adjusted conditional logistic regression.

resultsDNase I activity, whether measured as radius (mm) or as units per milliliter, was statistically significantly associated with increased risk of liver cancer (

conclusionsDNase I activity was a superior latent biomarker of liver cancer than cfDNA. These findings advance the goal of developing a means to detect liver cancer years well before the development of clinical manifestations.

Identifiers

PMID30815627
PMCPMC6383694
OpenAlexW2916464185

What OpenQuestion holds

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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 OpenQuestion graph.