Evidence map›Paper›PMID 40558829›Full record

ReviewEpigenomes2025

DNA Methylation, Aging, and Cancer.

Himani Vaidya, Jaroslav Jelinek, Jean-Pierre J Issa

Abstract readReview
In one paragraph

Review in Epigenomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. DNA Methylation-Based Risk Stratification and Classification of Pediatric Thyroid Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. DNMT Enzymes and Their Impact on Cervical Cancer: A State-of-the-Art Review.International journal of molecular sciences · 2025
    Review
  15. Review
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.

Himani VaidyaCoriell Institute for Medical Research, Camden, NJ 08103, USA.
Jaroslav JelinekCoriell Institute for Medical Research, Camden, NJ 08103, USA.
Jean-Pierre J IssaCoriell Institute for Medical Research, Camden, NJ 08103, USA.ORCID 0000-0003-2258-5030

Funding

Pathology CoreP50CA254897 · NCI · CORIELL INSTITUTE FOR MEDICAL RESEARCH · PI ISSA, JEAN-PIERRE J. · 2021 to 2025
$11.9M
NCI NIH HHS P50 CA254897
6 · The paper itself

Abstract

Aging and cancer, though distinct biological processes, share overlapping molecular pathways, particularly in epigenetic regulation. Among these, DNA methylation is central to mediating gene expression, maintaining cellular identity, and regulating genome stability. This review explores how age-associated changes in DNA methylation, characterized by both global hypomethylation and focal hypermethylation, contribute to the emergence of cancer. We discuss mechanisms of DNA methylation drift, the development of epigenetic clocks, and the role of entropy and epigenetic mosaicism, in aging and tumorigenesis. Emphasis is placed on how stochastic methylation errors accumulate in aging cells and lead to epiallelic shifts and gene silencing, predisposing tissues to malignant transformation, even despite recently increased cancer incidences at younger ages. We also highlight the translational potential of DNA methylation-based biomarkers, and therapeutic targets, in age-related diseases. By framing cancer as a disease of accelerated epigenetic aging, this review offers a unifying perspective and calls for age-aware approaches to both basic research and clinical oncology.

Indexed as

agingcancerDNA methylation

Identifiers

PMID40558829
PMCPMC12192155

What OpenQuestion holds

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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.