Evidence map›Paper›PMID 17890243›Full record

ArticleNucleic acids research2008

MethyCancer: the database of human DNA methylation and cancer.

Ximiao He, Suhua Chang, Jiajie Zhang, Qian Zhao, Haizhen Xiang, Kanthida Kusonmano, Liu Yang, Zhong Sheng Sun, Huanming Yang, Jing Wang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

73 citing papers in PubMed, 144 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Prostate cancer in omics era.Cancer cell international · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. dbGENVOC: database of GENomic Variants of Oral Cancer, with special reference to India.Database : the journal of biological databases and curation · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Systems Biology and Experimental Model Systems of Cancer.Journal of personalized medicine · 2020
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

13 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

10 authors at 1 institution in 2 countries.

Ximiao HeBeijing Institute of Genomics, Chinese Academy of Sciences, Beijing 101300, China.
Suhua Chang
Jiajie Zhang
Qian Zhao
Haizhen Xiang
Kanthida Kusonmano
Liu Yang
Zhong Sheng Sun
Huanming Yang
Jing Wang
Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is ranked as one of the top killers in all human diseases and continues to have a devastating effect on the population around the globe. Current research efforts are aiming to accelerate our understanding of the molecular basis of cancer and develop effective means for cancer diagnostics, treatment and prognosis. An altered pattern of epigenetic modifications, most importantly DNA methylation events, plays a critical role in tumorigenesis through regulating oncogene activation, tumor suppressor gene silencing and chromosomal instability. To study interplay of DNA methylation, gene expression and cancer, we developed a publicly accessible database for human DNA Methylation and Cancer (MethyCancer, http://methycancer.genomics.org.cn). MethyCancer hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing. Interconnections between different data types were analyzed and presented. Furthermore, a powerful search tool is developed to provide user-friendly access to all the data and data connections. A graphical MethyView shows DNA methylation in context of genomics and genetics data facilitating the research in cancer to understand genetic and epigenetic mechanisms that make dramatic changes in gene expression of tumor cells.

Indexed as

Databases, GeneticDNA MethylationCpG IslandsGene ExpressionGenes, NeoplasmHumansInternetMutationNeoplasmsUser-Computer Interface

Identifiers

PMID17890243
PMCPMC2238864
OpenAlexW2142257318

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.