Evidence map›Paper›PMID 25054684›Full record

ArticleJournal of developmental origins of health and disease2013

Exposures in early life: associations with DNA promoter methylation in breast tumors.

M-H Tao, C Marian, P G Shields, N Potischman, J Nie, S S Krishnan, D L Berry, B V Kallakury, C Ambrosone, S B Edge and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of developmental origins of health and disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact, top 83% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
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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

13 authors at 7 institutions in 1 country.

M-H Tao1 Institute for Translational Epidemiology, Mount Sinai School of Medicine, New York, NY, USA.
C Marian2 Ohio State University Cancer Center, The Ohio State University, Columbus, OH, USA.
P G Shields2 Ohio State University Cancer Center, The Ohio State University, Columbus, OH, USA.
N Potischman3 Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
J Nie4 Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
S S Krishnan2 Ohio State University Cancer Center, The Ohio State University, Columbus, OH, USA.
D L Berry5 Lombardi Cancer Center, Georgetown University, Washington, DC, USA.
B V Kallakury5 Lombardi Cancer Center, Georgetown University, Washington, DC, USA.
C Ambrosone6 Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY, USA.
S B Edge7 Department of Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA.
M Trevisan4 Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
J Winston9 Potomac Hospital, Woodbridge, VA, USA.
J L Freudenheim4 Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
The Ohio State University · USUniversity at Buffalo, State University of New York · USGeorgetown University · USRoswell Park Comprehensive Cancer Center · USIcahn School of Medicine at Mount Sinai · USNational Cancer Institute · USUniversity of the Potomac · US

Funding

Methylation and Oxidation in Breast Cancer EpidemiologyR01CA092040 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FREUDENHEIM, JO L · 2002 to 2005
$2.5M
PILOT--GEOGRAPHIC INFORMATION SYSTEM FOR ALCOHOL STUDIESP50AA009802 · NIAAA · RESEARCH INSTITUTE ON ADDICTIONS · PI RUSSELL, MARCIA · 1994 to 1998
–
NCI NIH HHS R01 CA092040NIAAA NIH HHS P50 AA009802
6 · The paper itself

Abstract

There is evidence that epigenetic changes occur early in breast carcinogenesis. We hypothesized that early-life exposures associated with breast cancer would be associated with epigenetic alterations in breast tumors. In particular, we examined DNA methylation patterns in breast tumors in association with several early-life exposures in a population-based case-control study. Promoter methylation of E-cadherin, p16 and RAR-β2 genes was assessed in archived tumor blocks from 803 cases with real-time methylation-specific PCR. Unconditional logistic regression was used for case-case comparisons of those with and without promoter methylation. We found no differences in the prevalence of DNA methylation of the individual genes by age at menarche, age at first live birth and weight at age 20. In case-case comparisons of premenopausal breast cancer, lower birth weight was associated with increased likelihood of E-cadherin promoter methylation (OR = 2.79, 95% CI, 1.15-6.82, for ⩽2.5 v. 2.6-2.9 kg); higher adult height with RAR-β2 methylation (OR = 3.34, 95% CI, 1.19-9.39, for ⩾1.65 v. <1.60 m); and not having been breastfed with p16 methylation (OR = 2.75, 95% CI, 1.14-6.62). Among postmenopausal breast cancers, birth order was associated with increased likelihood of p16 promoter methylation. Being other than first in the birth order was inversely associated with likelihood of ⩾1 of the three genes being methylated for premenopausal breast cancers, but positively associated with methylation in postmenopausal women. These results suggest that there may be alterations in methylation associated with early-life exposures that persist into adulthood and affect breast cancer risk.

Identifiers

PMID25054684
PMCPMC4539251
OpenAlexW2326517656

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Registered trials

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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.