Evidence map›Paper›PMID 26110029›Full record

ReviewBiochemia medica2015

Aberrant methylation patterns in cancer: a clinical view.

Alja Videtic Paska, Petra Hudler

Open access · diamondAbstract readReview
In one paragraph

Review in Biochemia medica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Implication of protein post translational modifications in gastric cancer.Frontiers in cell and developmental biology · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. DNA Methylation Analysis of theJournal of oncology · 2023
    Article
  14. Review
  15. Polyphenols as Potent Epigenetics Agents for Cancer.International journal of molecular sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. MGMT-Methylation in Non-Neoplastic Diseases of the Central Nervous System.International journal of molecular sciences · 2021
    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 at 1 institution in 1 country.

Alja Videtic PaskaInstitute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Petra HudlerInstitute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
University of Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic mechanisms, such as DNA methylation, DNA hydroxymethylation, post-translational modifications (PTMs) of histone proteins affecting nucleosome remodelling, and regulation by small and large non-coding RNAs (ncRNAs) work in concert with cis and trans acting elements to drive appropriate gene expression. Advances in detection methods and development of dedicated platforms and methylation arrays resulted in an explosion of information on aberrantly methylated sequences linking deviations in epigenetic landscape with the initiation and progression of complex diseases. Here, we consider how DNA methylation changes in malignancies, such as breast, pancreatic, colorectal, and gastric cancer could be exploited for the purpose of developing specific diagnostic tools. DNA methylation changes can be applicable as biomarkers for detection of malignant disease in easily accessible tissues. Methylation signatures are already proving to be an important marker for determination of drug sensitivity. Even more, promoter methylation patterns of some genes, such as MGMT, SHOX2, and SEPT9, have already been translated into commercial clinical assays aiding in patient assessment as adjunct diagnostic tools. In conclusion, the changes in DNA methylation patterns in tumour cells are slowly gaining entrance into routine diagnostic tests as promising biomarkers and as potential therapeutic targets.

Indexed as

DNA MethylationEpigenesis, GeneticGene Expression Regulation, NeoplasticNeoplasmsAnimalsBiomarkers, TumorDNA, NeoplasmHumansNeoplasm ProteinsRNA, Long NoncodingRNA, NeoplasmBiomarkers, TumorDNA, NeoplasmNeoplasm ProteinsRNA, Long NoncodingRNA, NeoplasmbiomarkersCpG islandsDNA methylationepigeneticsmolecular diagnostics

Identifiers

PMID26110029
PMCPMC4470106
OpenAlexW635191475

What OpenQuestion holds

Textmetadata
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.