Association of secondhand smoke exposures with DNA methylation in bladder carcinomas View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-08

AUTHORS

Charlotte S. Wilhelm-Benartzi, Brock C. Christensen, Devin C. Koestler, E. Andres Houseman, Alan R. Schned, Margaret R. Karagas, Karl T. Kelsey, Carmen J. Marsit

ABSTRACT

BACKGROUND: The association between secondhand smoke (SHS) exposure and bladder cancer is inconclusive. Epigenetic alterations in bladder tumors have been linked to primary cigarette smoking and could add to the biological plausibility of an association between SHS exposure and bladder cancer. HYPOTHESIS: SHS exposure is associated with DNA methylation in bladder tumors. METHODS: Using an array-based approach, we profiled DNA methylation from never smoking cases of incident bladder cancer. Analyses examined associations between individual loci's methylation with SHS variables (exposure in adulthood, childhood, occupationally, and total exposure). A canonical pathway analysis was used to find pathways significantly associated with each SHS exposure type. RESULTS: There is a trend toward increased methylation of numerous CpG loci with increasing exposure to adulthood, occupational, and total SHS. Discrete associations between methylation extent of several CpG loci and SHS exposures demonstrated significantly increased methylation of these loci across all types of SHS exposure. CpGs with SHS-related methylation alterations were associated with genes in pathways involved in carcinogenesis, immune modulation, and immune signaling. INTERPRETATION: Exposures to SHS in adulthood, childhood, occupationally, and in total are each significantly associated with changes in DNA methylation of several CpG loci in bladder tumors, adding biological plausibility to SHS as a risk factor for bladder cancer. More... »

PAGES

1205-1213

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10552-011-9788-6

DOI

http://dx.doi.org/10.1007/s10552-011-9788-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008764704

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21660454


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10552-011-9788-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10552-011-9788-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10552-011-9788-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10552-011-9788-6'


 

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