Evidence map›Paper›PMID 28232479›Full record

ArticleGenome research2017

Critical threshold levels of DNA methyltransferase 1 are required to maintain DNA methylation across the genome in human cancer cells.

Yi Cai, Hsing-Chen Tsai, Ray-Whay Chiu Yen, Yang W Zhang, Xiangqian Kong, Wei Wang, Limin Xia, Stephen B Baylin

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Article
  3. Structure-guided design of 7-azaindole DNMT1 inhibitors active against hypomethylating agent-resistant acute myeloid leukemia.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Discovery of a Novel DNMT1 Inhibitor with Improved Efficacy in Treating β-Thalassemia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. DNA Methylation in the Adaptive Response to Exercise.Sports medicine (Auckland, N.Z.) · 2024
    Review
  14. Review
  15. Article
  16. Article
  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

8 authors at 2 institutions in 2 countries.

Yi CaiDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Hsing-Chen TsaiGraduate Institute of Toxicology, National Taiwan University, Taipei, 10051, Taiwan.
Ray-Whay Chiu YenDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Yang W ZhangDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Xiangqian KongDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Wei WangDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Limin XiaDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Stephen B BaylinDepartment of Oncology, the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA.
Johns Hopkins University · USNational Taiwan University · TW

Funding

DNA Methyltrasferase Gene Expression in Colon CancerR01ES011858 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI BAYLIN, STEPHEN B., EASWARAN, HARIHARAN · 2002 to 2023
$11.5M
NIEHS NIH HHS R01 ES011858
6 · The paper itself

Abstract

Reversing DNA methylation abnormalities and associated gene silencing, through inhibiting DNA methyltransferases (DNMTs) is an important potential cancer therapy paradigm. Maximizing this potential requires defining precisely how these enzymes maintain genome-wide, cancer-specific DNA methylation. To date, there is incomplete understanding of precisely how the three DNMTs, 1, 3A, and 3B, interact for maintaining DNA methylation abnormalities in cancer. By combining genetic and shRNA depletion strategies, we define not only a dominant role for DNA methyltransferase 1 (DNMT1) but also distinct roles of 3A and 3B in genome-wide DNA methylation maintenance. Lowering DNMT1 below a threshold level is required for maximal loss of DNA methylation at all genomic regions, including gene body and enhancer regions, and for maximally reversing abnormal promoter DNA hypermethylation and associated gene silencing to reexpress key genes. It is difficult to reach this threshold with patient-tolerable doses of current DNMT inhibitors (DNMTIs). We show that new approaches, like decreasing the DNMT targeting protein, UHRF1, can augment the DNA demethylation capacities of existing DNA methylation inhibitors for fully realizing their therapeutic potential.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticCCAAT-Enhancer-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1Genome, HumanHCT116 CellsHumansPromoter Regions, GeneticUbiquitin-Protein LigasesCCAAT-Enhancer-Binding ProteinsDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanUbiquitin-Protein LigasesUHRF1 protein, human

Identifiers

PMID28232479
PMCPMC5378172
OpenAlexW2591513015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.