Evidence map›Paper›PMID 32655296›Full record

ArticleCurrent genomics2020

DNA Methylation and Bladder Cancer: Where Genotype does not Predict Phenotype.

Amit Sharma, Heiko Reutter, Jörg Ellinger

Abstract read
In one paragraph

Article in Current genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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

3 authors.

Amit Sharma1Department of Ophthalmology, University Clinic Bonn, Bonn, Germany; 2Department of Neurology, University Clinic Bonn, Bonn, Germany; 3Institute of Human Genetics, University Hospital of Bonn, Bonn, Germany; 4Department of Neonatology and Pediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany; 5Department of Urology, University Hospital Bonn, Bonn, Germany.
Heiko Reutter1Department of Ophthalmology, University Clinic Bonn, Bonn, Germany; 2Department of Neurology, University Clinic Bonn, Bonn, Germany; 3Institute of Human Genetics, University Hospital of Bonn, Bonn, Germany; 4Department of Neonatology and Pediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany; 5Department of Urology, University Hospital Bonn, Bonn, Germany.
Jörg Ellinger1Department of Ophthalmology, University Clinic Bonn, Bonn, Germany; 2Department of Neurology, University Clinic Bonn, Bonn, Germany; 3Institute of Human Genetics, University Hospital of Bonn, Bonn, Germany; 4Department of Neonatology and Pediatric Intensive Care, Children's Hospital, University of Bonn, Bonn, Germany; 5Department of Urology, University Hospital Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly three decades ago, the association between Bladder cancer (BC) and DNA methylation has initially been reported. Indeed, in the recent years, the mechanism connecting these two has gained deeper insights. Still, the mediocre performance of DNA methylation markers in the clinics raises the major concern. Strikingly, whether it is the inter-individual methylation variations or the paucity of knowledge about methylation fingerprints lying within histologically distinct subtypes of BC requires critical discussion. In the future, besides identifying the initial causative factors, it will be important to illustrate the cascade of events that determines the fraction of the genome to convey altered methylation patterns specific towards each cancer type.

Indexed as

Bladder cancercancer biomarkersDNA methylationepigeneticgenotypephenotype

Identifiers

PMID32655296
PMCPMC7324896

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.