Evidence map›Paper›PMID 28275920›Full record

ArticleBreast cancer research and treatment2017

Breast tumor DNA methylation patterns associated with smoking in the Carolina Breast Cancer Study.

Kathleen Conway, Sharon N Edmiston, Eloise Parrish, Christopher Bryant, Chiu-Kit Tse, Theresa Swift-Scanlan, Lauren E McCullough, Pei Fen Kuan

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Liposomal Drug Delivery Systems and Anticancer Drugs.Molecules (Basel, Switzerland) · 2018
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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

8 authors at 4 institutions in 1 country.

Kathleen ConwayDepartment of Epidemiology, School of Public Health, University of North Carolina, Campus Box 7435, Chapel Hill, NC, 27599, USA. kconway@med.unc.edu.ORCID http://orcid.org/0000-0002-5540-3347
Sharon N EdmistonLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
Eloise ParrishLineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, 27599, USA.
Christopher BryantDepartment of Biostatistics, School of Public Health, University of North Carolina, Chapel Hill, NC, 27599, USA.
Chiu-Kit TseDepartment of Epidemiology, School of Public Health, University of North Carolina, Campus Box 7435, Chapel Hill, NC, 27599, USA.
Theresa Swift-ScanlanSchool of Nursing, Virginia Commonwealth University, Richmond, VA, 23298, USA.
Lauren E McCulloughDepartment of Epidemiology, School of Public Health, Emory University, Atlanta, GA, 30322, USA.
Pei Fen KuanDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, 11794-3600, USA.
University of North Carolina at Chapel Hill · USEmory University · USStony Brook University · USVirginia Commonwealth University · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223
6 · The paper itself

Abstract

purposeTobacco smoking is a risk factor in several cancers, yet its roles as a putative etiologic exposure or poor prognostic factor in breast cancer are less clear. Altered DNA methylation contributes to breast cancer development and may provide a mechanistic link between smoking and gene expression changes leading to cancer development or progression.

methodsUsing a cancer-focused array, we examined methylation at 933 CpGs in 517 invasive breast tumors in the Carolina Breast Cancer Study to determine whether methylation patterns differ by exposure to tobacco smoke. Multivariable generalized linear regression models were used to compare tumor methylation profiles between smokers and never smokers, overall, or stratified on hormone receptor (HR) status.

resultsModest differences in CpG methylation were detected at p < 0.05 in breast tumors from current or ever smokers compared with never smokers. In stratified analyses, HR- tumors from smokers exhibited primarily hypomethylation compared with tumors from never smokers; hypomethylation was similarly detected within the more homogeneous basal-like subtype. Most current smoking-associated CpG loci exhibited methylation levels in former smokers that were intermediate between those in current and never smokers and exhibited progressive changes in methylation with increasing duration of smoking. Among former smokers, restoration of methylation toward baseline (never smoking) levels was observed with increasing time since quitting. Moreover, smoking-related hypermethylation was stronger in HR+ breast tumors from blacks than in whites.

conclusionsOur results suggest that breast tumor methylation patterns differ with tobacco smoke exposure; however, additional studies are needed to confirm these findings.

Indexed as

DNA MethylationAdultAgedBreast NeoplasmsCpG IslandsDNA, NeoplasmFemaleGene Expression Regulation, NeoplasticGene OntologyHumansMiddle AgedPromoter Regions, GeneticRisk FactorsSmokingTranscriptomeYoung AdultDNA, NeoplasmBreast cancerBreast tumorEpigeneticMethylationSmoking

Identifiers

PMID28275920
PMCPMC5592727
OpenAlexW2594409179

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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.