Evidence map›Paper›PMID 20802236›Full record

ArticleCarcinogenesis2010

DNA methylation profiles delineate etiologic heterogeneity and clinically important subgroups of bladder cancer.

C S Wilhelm-Benartzi, D C Koestler, E A Houseman, B C Christensen, John K Wiencke, A R Schned, M R Karagas, K T Kelsey, C J Marsit

Open access · greenAbstract readComparative Study
In one paragraph

Article in Carcinogenesis, 2010. 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
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Peripheral blood immune cell methylation profiles are associated with nonhematopoietic cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    Article
  9. Article
  10. Review
  11. Hypermethylation in bladder cancer: biological pathways and translational applications.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
    Article
  12. Article
  13. Global hypomethylation identifies Loci targeted for hypermethylation in head and neck cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2011
    Article
  14. Article
  15. Epigenomics in environmental health.Frontiers in genetics · 2011
    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

9 authors at 5 institutions in 1 country.

C S Wilhelm-BenartziDepartment of Community Health, Center for Environmental Health and Technology, Brown University, Providence, RI 02912, USA.
D C Koestler
E A Houseman
B C Christensen
John K Wiencke
A R Schned
M R Karagas
K T Kelsey
C J Marsit
Center for Environmental Health · USCommunity Health Center · USBrown University · USDartmouth College · USUniversity of California, San Francisco · 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
NONMELANOMA SKIN CANCER IN NEW HAMPSHIRER01CA057494 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1993 to 2015
$10.9M
The Molecular Epidemiology of Bladder CancerR01CA121147 · NCI · BROWN UNIVERSITY · PI KELSEY, KARL TIMOTHY · 2007 to 2010
$2.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA057494NCI NIH HHS R01CA057494NCI NIH HHS R01 CA121147NCI NIH HHS R01CA121147NIEHS NIH HHS P42 ES007373NIEHS NIH HHS P42ES007373
6 · The paper itself

Abstract

DNA methylation profiles can be used to define molecular cancer subtypes that may better inform disease etiology and clinical decision-making. This investigation aimed to create DNA methylation profiles of bladder cancer based on CpG methylation from almost 800 cancer-related genes and to then examine the relationship of those profiles with exposures related to risk and clinical characteristics. DNA, derived from formalin-fixed paraffin-embedded tumor samples obtained from incident cases involved in a population-based case-control study of bladder cancer in New Hampshire, was used for methylation profiling on the Illumina GoldenGate Methylation Bead Array. Unsupervised clustering of those loci with the greatest change in methylation between tumor and non-diseased tissue was performed to defined molecular subgroups of disease, and univariate tests of association followed by multinomial logistic regression was used to examine the association between these classes, bladder cancer risk factors and clinical phenotypes. Membership in the two most methylated classes was significantly associated with invasive disease (P < 0.001 for both class 3 and 4). Male gender (P = 0.04) and age >70 years (P = 0.05) was associated with membership in one of the most methylated classes. Finally, average water arsenic levels in the highest percentile predicted membership in an intermediately methylated class of tumors (P = 0.02 for both classes). Exposures and demographic associated with increased risk of bladder cancer specifically associate with particular subgroups of tumors defined by DNA methylation profiling and these subgroups may define more aggressive disease.

Indexed as

DNA MethylationGene Expression ProfilingAdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesCpG IslandsDNA, NeoplasmFemaleGenetic VariationGenotypeHumansMaleMiddle AgedNew HampshireBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID20802236
PMCPMC2966555
OpenAlexW2167194656

What OpenQuestion holds

Textmetadata
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.