Evidence map›Paper›PMID 20465502›Full record

ReviewExpert review of molecular diagnostics2010

DNA methylation as a universal biomarker.

Victor V Levenson

Abstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Toward the simultaneous detection of multiple diseases with a highly cost-effective cell-free DNA methylome test.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Cell-Free DNA Hypermethylation in Patients with Acute Pancreatitis.International journal of molecular sciences · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. MethylGPT: a foundation model for the DNA methylome.bioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Review
  15. Promising predictive molecular biomarkers for cervical cancer (Review).International journal of molecular medicine · 2024
    Review
  16. Article
  17. Article
  18. OvaPrint-A Cell-free DNA Methylation Liquid Biopsy for the Risk Assessment of High-grade Serous Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  19. Brain Tumor Classification by Methylation Profile.Journal of Korean medical science · 2023
    Review
  20. Article

21 more citing papers are in PubMed but not listed here.

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

1 author.

Victor V LevensonDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL 60612, USA. vlev.rush@gmail.com

Funding

A tool for analysis of gene-specific DNA methylation in clinical samplesR21RR024420 · NCRR · RUSH UNIVERSITY MEDICAL CENTER · PI LEVENSON, VICTOR V · 2009 to 2010
$484k
DNA-Based Biomarkers for Multiple SclerosisR21NS060311 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI LEVENSON, VICTOR V · 2007 to 2009
$469k
NCRR NIH HHS R21 RR024420NCRR NIH HHS R21RR024420NINDS NIH HHS R21 NS060311NINDS NIH HHS R21NS060311
6 · The paper itself

Abstract

Cell-free circulating DNA carries not only tumor-specific changes in its sequence but also distinctive epigenetic marks, namely DNA methylation, in certain GC-rich fragments. These fragments are usually located within the promoters and first exons of many genes, comprising CpG islands. Analysis of DNA methylation using cell-free circulating DNA can facilitate development of very accurate biomarkers for detection, diagnosis, prediction of response to therapy and prognosis of outcomes. Recent data suggest that benign and inflammatory diseases have very specific methylation patterns within cell-free circulating DNA, which are different from the pattern of a malignant tumor of the same organ. In addition, specific methylation patterns have been detected for cancers of different organs, so a differential diagnosis of site-specific cancer appears feasible. Currently, cancer-related applications dominate the field, although methylation-based biomarkers may also be possible for other diseases, including neurodegenerative and psychiatric disorders.

Indexed as

DNA MethylationBiomarkersDNAHumansNeoplasmsPrognosisTreatment OutcomeBiomarkersDNA

Identifiers

PMID20465502
PMCPMC2933138

What OpenQuestion holds

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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.