Evidence map›Paper›PMID 26592237›Full record

ArticleGenome biology2015

P16-specific DNA methylation by engineered zinc finger methyltransferase inactivates gene transcription and promotes cancer metastasis.

Chenghua Cui, Ying Gan, Liankun Gu, James Wilson, Zhaojun Liu, Baozhen Zhang, Dajun Deng

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
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  3. Cancers · 2026
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  5. Epigenetic editing: from concept to clinic.Nature reviews. Drug discovery · 2026
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  8. P16iScience · 2024
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  9. CDKN2A somatic copy number amplification in normal tissues surrounding gastric carcinoma reduces cancer metastasis risk in droplet digital PCR analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  10. Article
  11. The transcription activity ofTranslational cancer research · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  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

7 authors at 3 institutions in 2 countries.

Chenghua CuiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. rockycui@126.com.
Ying GanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. ganying1989@126.com.
Liankun GuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. gulkun@163.com.
James WilsonGRU Cancer Center, Georgia Regents University, Augusta, GA30912, USA. jamwilson@gru.edu.
Zhaojun LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. liuzhaojun8402@163.com.
Baozhen ZhangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. zbz94@126.com.
Dajun DengKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Aetiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. dengdajun@bjmu.edu.cn.
Peking University · CNPeking University Cancer Hospital · CNGeorgia Regents Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundP16 DNA methylation is well known to be the most frequent event in cancer development. It has been reported that genetic inactivation of P16 drives cancer growth and metastasis, however, whether P16 DNA methylation is truly a driver in cancer metastasis remains unknown.

resultsA P16-specific DNA methyltransferase (P16-dnmt) expression vector is designed using a P16 promoter-specific engineered zinc finger protein fused with the catalytic domain of dnmt3a. P16-dnmt transfection significantly decreases P16 promoter activity, induces complete methylation of P16 CpG islands, and inactivates P16 transcription in the HEK293T cell line. The P16-Dnmt coding fragment is integrated into an expression controllable vector and used to induce P16-specific DNA methylation in GES-1 and BGC823 cell lines. Transwell assays show enhanced migration and invasion of these cancer cells following P16-specific DNA methylation. Such effects are not observed in the P16 mutant A549 cell line. These results are confirmed using an experimental mouse pneumonic metastasis model. Moreover, enforced overexpression of P16 in these cells reverses the migration phenotype. Increased levels of RB phosphorylation and NFκB subunit P65 expression are also seen following P16-specific methylation and might further contribute to cancer metastasis.

conclusionP16 methylation could directly inactivate gene transcription and drive cancer metastasis.

Indexed as

DNA MethylationAnimalsCell Line, TumorCell MovementCyclin-Dependent Kinase Inhibitor p16DNA (Cytosine-5-)-MethyltransferasesFemaleGene Expression Regulation, NeoplasticHEK293 CellsHumansLung NeoplasmsMiceMice, Inbred NODMice, SCIDNeoplasms, ExperimentalZinc FingersCyclin-Dependent Kinase Inhibitor p16DNA (Cytosine-5-)-Methyltransferases

Identifiers

PMID26592237
PMCPMC4656189
OpenAlexW2179096514

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Registered trials

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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.