Evidence map›Paper›PMID 20808801›Full record

ArticlePloS one2010

Identification of methylated genes associated with aggressive bladder cancer.

Carmen J Marsit, E Andres Houseman, Brock C Christensen, Luc Gagne, Margaret R Wrensch, Heather H Nelson, Joseph Wiemels, Shichun Zheng, John K Wiencke, Angeline S Andrew and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 93 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Methylation inCells · 2020
    Review
  14. Genomic Subtyping in Bladder Cancer.Current urology reports · 2020
    Review
  15. Article
  16. Article
  17. MicroRNA Dysregulation and Non-Muscle-Invasive Bladder Cancer Prognosis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  18. Epigenetic Alterations in Bladder Cancer.Current urology reports · 2018
    Review
  19. Article
  20. Deep Learning data integration for better risk stratification models of bladder cancer.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    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 6 institutions in 1 country.

Carmen J MarsitDepartment of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island, United States of America.
E Andres Houseman
Brock C Christensen
Luc Gagne
Margaret R Wrensch
Heather H Nelson
Joseph Wiemels
Shichun Zheng
John K Wiencke
Angeline S Andrew
Alan R Schned
Margaret R Karagas
Karl T Kelsey
Brown University · USNeurological Surgery · USDartmouth Psychiatric Research Center · USCenter for Environmental Health · USUniversity of California, San Francisco · USUniversity of Minnesota · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
The Molecular Epidemiology of Bladder CancerR01CA121147 · NCI · BROWN UNIVERSITY · PI KELSEY, KARL TIMOTHY · 2007 to 2010
$2.0M
Bladder Cancer Prognostic IndicatorsK07CA102327 · NCI · DARTMOUTH COLLEGE · PI ANDREW, ANGELINE SANDERSON · 2005 to 2009
$819k
NCI NIH HHS K07 CA102327NCI NIH HHS K07CA102327NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA121147NCI NIH HHS R01CA121147NIEHS NIH HHS P42 ES007373NIEHS NIH HHS P42ES007373
6 · The paper itself

Abstract

Approximately 500,000 individuals diagnosed with bladder cancer in the U.S. require routine cystoscopic follow-up to monitor for disease recurrences or progression, resulting in over $2 billion in annual expenditures. Identification of new diagnostic and monitoring strategies are clearly needed, and markers related to DNA methylation alterations hold great promise due to their stability, objective measurement, and known associations with the disease and with its clinical features. To identify novel epigenetic markers of aggressive bladder cancer, we utilized a high-throughput DNA methylation bead-array in two distinct population-based series of incident bladder cancer (n = 73 and n = 264, respectively). We then validated the association between methylation of these candidate loci with tumor grade in a third population (n = 245) through bisulfite pyrosequencing of candidate loci. Array based analyses identified 5 loci for further confirmation with bisulfite pyrosequencing. We identified and confirmed that increased promoter methylation of HOXB2 is significantly and independently associated with invasive bladder cancer and methylation of HOXB2, KRT13 and FRZB together significantly predict high-grade non-invasive disease. Methylation of these genes may be useful as clinical markers of the disease and may point to genes and pathways worthy of additional examination as novel targets for therapeutic treatment.

Indexed as

DNA MethylationCarcinoma, Transitional CellCell Line, TumorCpG IslandsDNAFemaleFrizzled-Related ProteinsGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmGenetic LociGlycoproteinsHomeodomain ProteinsHumansIntracellular Signaling Peptides and ProteinsKeratin-13DNAFrizzled-Related ProteinsGlycoproteinsHomeodomain ProteinsHOXB2 protein, humanIntracellular Signaling Peptides and ProteinsKeratin-13KRT13 protein, humanTranscription Factors

Identifiers

PMID20808801
PMCPMC2925945
OpenAlexW2061611574

What OpenQuestion holds

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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.