Evidence map›Paper›PMID 28261325›Full record

ReviewJournal of biological engineering2017

Technical advances in global DNA methylation analysis in human cancers.

Basudev Chowdhury, Il-Hoon Cho, Joseph Irudayaraj

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05111717 (The Effect of Desfluran Administered in General Anesthesia On Global Dna Methylation), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT05111717 completednot on this mapstarted 2021, after this paper: background citation

The Effect of Desfluran Administered in General Anesthesia On Global Dna Methylation

TypeobservationalSponsorMuğla Sıtkı Koçman UniversityRan2021 to 2021Enrolled40ConditionsDNA DamageArmsDesflurane
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Key Characteristics of Carcinogens: Relationship to the Hallmarks of Cancer, Relevant Biomarkers, and Assays to Measure Them.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. 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

3 authors.

Basudev Chowdhury *Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, 47907 IN USA.
Il-Hoon Cho *Department of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, 461-713 Republic of Korea.
Joseph IrudayarajBindley Bioscience Center, Purdue University, West Lafayette, IN 47907 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prototypical abnormalities of genome-wide DNA methylation constitute the most widely investigated epigenetic mechanism in human cancers. Errors in the cellular machinery to faithfully replicate the global 5-methylcytosine (5mC) patterns, commonly observed during tumorigenesis, give rise to misregulated biological pathways beneficial to the rapidly propagating tumor mass but deleterious to the healthy tissues of the affected individual. A growing body of evidence suggests that the global DNA methylation levels could serve as utilitarian biomarkers in certain cancer types. Important breakthroughs in the recent years have uncovered further oxidized derivatives of 5mC - 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC) and 5-carboxylcytosine (5caC), thereby expanding our understanding of the DNA methylation dynamics. While the biological roles of these epigenetic derivatives are being extensively characterized, this review presents a perspective on the opportunity of innovation in the global methylation analysis platforms. While multiple methods for global analysis of 5mC in clinical samples exist and have been reviewed elsewhere, two of the established methods - Liquid Chromatography coupled with mass spectrometry (LC-MS/MS) and Immunoquantification have successfully evolved to include the quantitation of 5hmC, 5fC and 5caC. Although the analytical performance of LC-MS/MS is superior, the simplicity afforded by the experimental procedure of immunoquantitation ensures it's near ubiquity in clinical applications. Recent developments in spectroscopy, nanotechnology and sequencing also provide immense promise for future evaluations and are discussed briefly. Finally, we provide a perspective on the current scenario of global DNA methylation analysis tools and present suggestions to develop the next generation toolset.

Indexed as

5-carboxylcytosine (5caC)5-formylcytosine (5fC)5-hydroxymethylcytosine (5hmC)5-methylcytosine (5mC)ImmunoquantitationLC-MS/MSNext generation toolset

Identifiers

PMID28261325
PMCPMC5331624

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.