Evidence map›Paper›PMID 32002550›Full record

ArticleNucleic acids research2020

Complex impact of DNA methylation on transcriptional dysregulation across 22 human cancer types.

Zishan Wang, Jiaqi Yin, Weiwei Zhou, Jing Bai, Yunjin Xie, Kang Xu, Xiangyi Zheng, Jun Xiao, Li Zhou, Xiaolin Qi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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

13 authors at 3 institutions in 1 country.

Zishan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jiaqi YinCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Weiwei ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing BaiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Yunjin XieCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Kang XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiangyi ZhengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jun XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Li ZhouDepartment of Nephrology, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.
Xiaolin QiKey Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan 571199, China.
Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Harbin Medical University · CNAffiliated Hospital of Chengde Medical College · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has demonstrated that transcriptional regulation is affected by DNA methylation. Understanding the perturbation of DNA methylation-mediated regulation between transcriptional factors (TFs) and targets is crucial for human diseases. However, the global landscape of DNA methylation-mediated transcriptional dysregulation (DMTD) across cancers has not been portrayed. Here, we systematically identified DMTD by integrative analysis of transcriptome, methylome and regulatome across 22 human cancer types. Our results revealed that transcriptional regulation was affected by DNA methylation, involving hundreds of methylation-sensitive TFs (MethTFs). In addition, pan-cancer MethTFs, the regulatory activity of which is generally affected by DNA methylation across cancers, exhibit dominant functional characteristics and regulate several cancer hallmarks. Moreover, pan-cancer MethTFs were found to be affected by DNA methylation in a complex pattern. Finally, we investigated the cooperation among MethTFs and identified a network module that consisted of 43 MethTFs with prognostic potential. In summary, we systematically dissected the transcriptional dysregulation mediated by DNA methylation across cancer types, and our results provide a valuable resource for both epigenetic and transcriptional regulation communities.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticBiomarkers, TumorCpG IslandsDNA MethylationDNA, NeoplasmFemaleGene Regulatory NetworksGenome, HumanHumansMaleMolecular Sequence AnnotationNeoplasmsSurvival AnalysisTranscription FactorsTranscriptomeBiomarkers, TumorDNA, NeoplasmTranscription Factors

Identifiers

PMID32002550
PMCPMC7049702
OpenAlexW3003540881

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.