Evidence map›Paper›PMID 38062093›Full record

ArticleScientific reports2023

Novel urine cell-free DNA methylation markers for hepatocellular carcinoma.

Selena Y Lin, Wei Xia, Amy K Kim, Dion Chen, Shelby Schleyer, Lin Choi, Zhili Wang, James P Hamilton, Harry Luu, Hie-Won Hann and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Prediction of Postoperative Intravesical Recurrence Using Urine DNA Monitoring in Nonmuscular-Invasive Urothelial Bladder Cancer.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
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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

15 authors at 9 institutions in 2 countries.

Selena Y LinJBS Science, Inc., Doylestown, PA, USA.
Wei XiaJBS Science, Inc., Doylestown, PA, USA.
Amy K KimDivision of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dion ChenJBS Science, Inc., Doylestown, PA, USA.
Shelby SchleyerJBS Science, Inc., Doylestown, PA, USA.
Lin ChoiJBS Science, Inc., Doylestown, PA, USA.
Zhili WangJBS Science, Inc., Doylestown, PA, USA.
James P HamiltonDivision of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Harry LuuDivision of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Hie-Won HannDepartment of Medicine, Division of Gastroenterology and Hepatology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Ting-Tsung ChangDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chi-Tan HuDivision of Gastroenterology, Department of Internal Medicine, Hualien Tzu-Chi Hospital, Buddhist Tzu-Chi Medical Foundation, Hualien, Taiwan.
Abashai WoodardDepartment of Radiology, University of Pennsylvania College of Medicine, Philadelphia, PA, USA.
Terence P GadeDepartment of Radiology, University of Pennsylvania College of Medicine, Philadelphia, PA, USA.
Ying-Hsiu SuThe Baruch S. Blumberg Institute, 805 Old Easton Rd, Doylestown, PA, USA. Ying-hsiu.su@bblumberg.org.
JBS Science (United States) · USJohns Hopkins University · USUniversity of Pennsylvania · USBaruch S. Blumberg Institute · USJohns Hopkins Medicine · USNational Cheng Kung University Hospital · TWPhoenixville Hospital · USThomas Jefferson University Hospital · USTzu Chi Foundation · TW

Funding

Improved early prognostic algorithm for hepatocellulcar carcinomaK08CA237624 · NCI · JOHNS HOPKINS UNIVERSITY · PI KIM, AMY K · 2020 to 2024
$1.3M
NCI NIH HHS K08 CA237624
6 · The paper itself

Abstract

An optimized hepatocellular carcinoma (HCC)-targeted methylation next generation sequencing assay was developed to discover HCC-associated methylation markers directly from urine for HCC screening. Urine cell-free DNA (ucfDNA) isolated from a discovery cohort of 31 non-HCC and 30 HCC was used for biomarker discovery, identifying 29 genes with differentially methylated regions (DMRs). Methylation-specific qPCR (MSqPCR) assays were developed to verify the selected DMRs corresponding to 8 genes (GRASP, CCND2, HOXA9, BMP4, VIM, EMX1, SFRP1, and ECE). Using archived ucfDNA, methylation of GRASP, HOXA9, BMP4, and ECE1, were found to be significantly different (p < 0.05) between HCC and non-HCC patients. The four markers together with previously reported GSTP1 and RASSF1A markers were assessed as a 6-marker panel in an independent training cohort of 87 non-HCC and 78 HCC using logistic regression modeling. AUROC of 0.908 (95% CI, 0.8656-0.9252) was identified for the 6-marker panel with AFP, which was significantly higher than AFP-alone (AUROC 0.841 (95% CI, 0.778-0.904), p = 0.0026). Applying backward selection method, a 4-marker panel was found to exhibit similar performance to the 6-marker panel with AFP having 80% sensitivity compared to 29.5% by AFP-alone at a specificity of 85%. This study supports the potential use of methylated transrenal ucfDNA for HCC screening.

Indexed as

Carcinoma, HepatocellularCell-Free Nucleic AcidsLiver Neoplasmsalpha-FetoproteinsBiomarkers, TumorDNA MethylationHumansalpha-FetoproteinsBiomarkers, TumorCell-Free Nucleic Acids

Identifiers

PMID38062093
PMCPMC10703769
OpenAlexW4389441951

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.