Evidence map›Paper›PMID 37088830›Full record

ArticleJournal of translational medicine2023

The activation of mTOR signalling modulates DNA methylation by enhancing DNMT1 translation in hepatocellular carcinoma.

Mengke Chen, Yi Fang, Meinong Liang, Ning Zhang, Xinyue Zhang, Lixia Xu, Xuxin Ren, Qingfeng Zhang, Yufeng Zhou, Sui Peng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 60 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. 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

13 authors at 2 institutions in 2 countries.

Mengke Chen *Department of Oncology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Yi Fang *Institute of Precision Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Meinong Liang *Institute of Precision Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Ning ZhangDepartment of Gastroenterology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Xinyue ZhangDepartment of Oncology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Lixia XuDepartment of Oncology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Xuxin RenDepartment of Oncology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Qingfeng ZhangSun Yat-Sen University Cancer Center, Guangzhou, China.
Yufeng ZhouSun Yat-Sen University Cancer Center, Guangzhou, China.
Sui PengInstitute of Precision Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Jun YuInstitute of Precision Medicine, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China.
Judeng ZengDepartment of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, China. zjdseed@163.com.
Xiaoxing LiDepartment of Oncology, Sun Yat-Sen University First Affiliated Hospital, Guangzhou, China. lixiaox23@mail.sysu.edu.cn.ORCID 0000-0001-8791-7505
Sun Yat-sen University · CNChinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth dysregulation of mechanistic target of rapamycin (mTOR) signalling and DNA methylation patterns have been shown to be closely associated with tumor progression and serve as promising targets for hepatocellular carcinoma (HCC) therapy. Although their respective roles in HCC have been extensively revealed, the existence of molecular interactions between them remains largely unknown.

methodsThe association of DNA methylation and mTOR signalling in HCC tissues and cell lines was assessed. A Kaplan‒Meier analysis was applied to estimate the overall survival (OS) and recurrence-free survival (RFS) of HCC patients. The modulation of DNMT1 by mTOR in HCC cell lines was determined. The effect of the drug combination in cell lines and mouse models was examined.

resultsThe results showed that the DNA methylation level was positively associated with the activation of mTOR signalling in HCC tissues and cell lines. Moreover, HCC patients with higher DNA methylation levels and enhanced activation of mTOR signalling exhibited the worst prognosis. Then, we screened methylation-related enzymes and found that the activation of mTOR signalling increased DNMT1 expression and activity. In addition, mTOR enhanced the translational efficiency of DNMT1 in a 4E-BP1-dependent manner, which is based on the pyrimidine rich translational element (PRTE)-containing 5'UTR of DNMT1. Moreover, we demonstrated that the combined inhibition of mTOR and DNMT synergistically inhibited HCC growth in vitro and in vivo.

conclusionsIn addition to some already identified pro-cancer downstream molecules, the activation of mTOR signalling was found to promote DNA methylation by increasing the translation of DNMT1. Furthermore, combined targeting of mTOR and DNMT1 has been demonstrated to have a more effective tumor suppressive function in HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAnimalsCell Line, TumorDNA (Cytosine-5-)-Methyltransferase 1DNA MethylationMiceSirolimusTOR Serine-Threonine KinasesDNA (Cytosine-5-)-Methyltransferase 1Dnmt1 protein, mouseSirolimusTOR Serine-Threonine KinasesDNA methylationDNMT1Hepatocellular carcinomaProtein translationPyrimidine rich translational element

Identifiers

PMID37088830
PMCPMC10124003
OpenAlexW4366783467

What OpenQuestion holds

Textmetadata
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.