Evidence map›Paper›PMID 32751889›Full record

ReviewCancers2020

DNA Methyltransferases in Cancer: Biology, Paradox, Aberrations, and Targeted Therapy.

Jiayu Zhang, Cheng Yang, Chunfu Wu, Wei Cui, Lihui Wang

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 pooled it
10.5field-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

121 citing papers in PubMed, 1 synthesis or guideline pooled it, 205 citations in OpenAlex.

  1. Pooled it
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61 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Jiayu ZhangDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang 110016, China.
Cheng YangDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang 110016, China.
Chunfu WuDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang 110016, China.
Wei CuiDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang 110016, China.
Lihui WangDepartment of Pharmacology, Shenyang Pharmaceutical University, Shenyang 110016, China.
Shenyang Pharmaceutical University · CN

Funding

National Natural Science Foundation of China 81673652National Natural Science Foundation of China 81773216National Natural Science Foundation of China 81973365Natural Science Foundation of Liaoning Province 20170540841Natural Science Foundation of Liaoning Province 20180550076"Xingliao Talents"Program of Liaoning Province XLYC1902008Youth Science and Technology Innovation Leader Program of Shenyang RC190457
6 · The paper itself

Abstract

DNA methyltransferases are an essential class of modifiers in epigenetics. In mammals, DNMT1, DNMT3A and DNMT3B participate in DNA methylation to regulate normal biological functions, such as embryo development, cell differentiation and gene transcription. Aberrant functions of DNMTs are frequently associated with tumorigenesis. DNMT aberrations usually affect tumor-related factors, such as hypermethylated suppressor genes and genomic instability, which increase the malignancy of tumors, worsen the prognosis for patients, and greatly increase the difficulty of cancer therapy. However, the impact of DNMTs on tumors is still controversial, and therapeutic approaches targeting DNMTs are still under exploration. Here, we summarize the biological functions and paradoxes associated with DNMTs and we discuss some emerging strategies for targeting DNMTs in tumors, which may provide novel ideas for cancer therapy.

Indexed as

cancerDNA methyltransferasesDNMT aberrationstherapy

Identifiers

PMID32751889
PMCPMC7465608
OpenAlexW3046374262

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.