Evidence map›Paper›PMID 24288045›Full record

ArticlePharmaceuticals (Basel, Switzerland)2012

DNA methylation as clinically useful biomarkers-light at the end of the tunnel.

Victor V Levenson, Anatoliy A Melnikov

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Circulating nucleic acids in the plasma and serum as potential biomarkers in neurological disorders.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020
    Review
  6. Frontiers in immunology · 2020
    Article
  7. Molecular Biomarkers for Gestational Diabetes Mellitus.International journal of molecular sciences · 2018
    Review
  8. Article
  9. Article
  10. DNA methylation-based variation between human populations.Molecular genetics and genomics : MGG · 2017
    Review
  11. DifferentialFrontiers in cellular neuroscience · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

2 authors.

Victor V LevensonDepartment of Radiation Oncology, Rush University Medical Center, 1750 West Harrison Street, Chicago, IL 60612, USA. vlev.rush@gmail.com.
Anatoliy A Melnikov

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
NCRR NIH HHS R21 RR024420
6 · The paper itself

Abstract

A recent expansion of our knowledge about epigenetic changes strongly suggests that epigenetic rather than genetic features better reflect disease development, and consequently, can become more conclusive biomarkers for the detection and diagnosis of different diseases. In this paper we will concentrate on the current advances in DNA methylation studies that demonstrate a direct link between abnormal DNA methylation and a disease. This link can be used to develop diagnostic biomarkers that will precisely identify a particular disease. It also appears that disease-specific DNA methylation patterns undergo unique changes in response to treatment with a particular drug, thus raising the possibility of DNA methylation-based biomarkers for the monitoring of treatment efficacy, for prediction of response to treatment, and for the prognosis of outcome. While biomarkers for oncology are the most obvious applications, other fields of medicine are likely to benefit as well. This potential is demonstrated by DNA methylation-based biomarkers for neurological and psychiatric diseases. A special requirement for a biomarker is the possibility of longitudinal testing. In this regard cell-free circulating DNA from blood is especially interesting because it carries methylation markers specific for a particular disease. Although only a few DNA methylation-based biomarkers have attained clinical relevance, the ongoing efforts to decipher disease-specific methylation patterns are likely to produce additional biomarkers for detection, diagnosis, and monitoring of different diseases in the near future.

Identifiers

PMID24288045
PMCPMC3763627

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Registered trials

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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.