Evidence map›Paper›PMID 30617699›Full record

ArticleCancer causes & control : CCC2019

Active and secondhand smoke exposure throughout life and DNA methylation in breast tumors.

Catherine L Callahan, Matthew R Bonner, Jing Nie, Youjin Wang, Meng-Hua Tao, Peter G Shields, Catalin Marian, Kevin H Eng, Maurizio Trevisan, Jo L Freudenheim

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. DNA Methylation inCancer management and research · 2020
    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

10 authors at 7 institutions in 2 countries.

Catherine L CallahanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. Catherine.callahan@nih.gov.ORCID http://orcid.org/0000-0002-6835-0571
Matthew R BonnerDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Jing NieDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Youjin WangDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Meng-Hua TaoDepartment of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, USA.
Peter G ShieldsDivision of Cancer Prevention and Control, College of Medicine and The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Catalin MarianDivision of Cancer Prevention and Control, College of Medicine and The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Kevin H EngDepartment of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, NY, USA.
Maurizio TrevisanCity College of New York, New York, NY, USA.
Jo L FreudenheimDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
University at Buffalo, State University of New York · USNational Cancer Institute · USCity College of New York · USRoswell Park Comprehensive Cancer Center · USThe Ohio State University · USUniversity of North Texas · USWest University of Timişoara · RO

Funding

RPCI-UPCI Ovarian Cancer SPOREP50CA159981 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MOYSICH, KIRSTEN B., ODUNSI, KUNLE · 2013 to 2025
$19.6M
Interdisciplinary Training in Cancer Epidemiology at UBR25CA113951 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FREUDENHEIM, JO L., MOYSICH, KIRSTEN B. · 2007 to 2016
$2.5M
NCI NIH HHS P50 CA159981NCI NIH HHS R25 CA113951NCI NIH HHS R25CA113951
6 · The paper itself

Abstract

purposeTobacco smoke exposure has been associated with altered DNA methylation. However, there is a paucity of information regarding tobacco smoke exposure and DNA methylation of breast tumors.

methodsWe conducted a case-only analysis using breast tumor tissue from 493 postmenopausal and 225 premenopausal cases in the Western New York Exposures and Breast Cancer (WEB) study. Methylation of nine genes (SFN, SCGB3A1, RARB, GSTP1, CDKN2A, CCND2, BRCA1, FHIT, and SYK) was measured with pyrosequencing. Participants reported their secondhand smoke (SHS) and active smoking exposure for seven time periods. Unconditional logistic regression was used to estimate odds ratios (OR) of having methylation higher than the median.

resultsSHS exposure was associated with tumor DNA methylation among postmenopausal but not premenopausal women. Active smoking at certain ages was associated with increased methylation of GSTP1, FHIT, and CDKN2A and decreased methylation of SCGB3A1 and BRCA1 among both pre- and postmenopausal women.

conclusionExposure to tobacco smoke may contribute to breast carcinogenesis via alterations in DNA methylation. Further studies in a larger panel of genes are warranted.

Indexed as

DNA MethylationAdultBRCA1 ProteinBreast NeoplasmsCyclin D2DNA, NeoplasmFemaleHumansLogistic ModelsMiddle AgedNew YorkOdds RatioPremenopauseSmokingTobacco Smoke PollutionBRCA1 ProteinBRCA1 protein, humanCCND2 protein, humanCyclin D2DNA, NeoplasmTobacco Smoke PollutionBreast cancerDNA methylationEpigeneticsSecondhand smokeTobacco

Identifiers

PMID30617699
PMCPMC6697076
OpenAlexW2909570317

What OpenQuestion holds

Textmetadata
LicenceTDM
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.