Evidence map›Paper›PMID 26000047›Full record

ArticleJournal of Cancer2015

Global DNA Methylation, Measured by the Luminometric Methylation Assay (LUMA), Associates with Postmenopausal Breast Cancer in Non-Obese and Physically Active Women.

Lauren E McCullough, Jia Chen, Alexandra J White, Xinran Xu, Yoon Hee Cho, Patrick T Bradshaw, Sybil M Eng, Susan L Teitelbaum, Mary Beth Terry, Gail Garbowski and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

14 authors at 4 institutions in 2 countries.

Lauren E McCullough1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jia Chen2. Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA ; 3. Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA ; 4. Department of Oncological Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alexandra J White1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Xinran Xu5. Research Center for Translational Medicine, Shanghai East Hospital of Tongji University School of Medicine, Shanghai, China.
Yoon Hee Cho6. Department of Environmental Health Sciences, Columbia University, New York, NY, USA.
Patrick T Bradshaw7. Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sybil M Eng8. Department of Epidemiology, Columbia University, New York, NY, USA.
Susan L Teitelbaum2. Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Mary Beth Terry8. Department of Epidemiology, Columbia University, New York, NY, USA.
Gail Garbowski6. Department of Environmental Health Sciences, Columbia University, New York, NY, USA.
Alfred I Neugut8. Department of Epidemiology, Columbia University, New York, NY, USA ; 9. Department of Medicine, Columbia University, New York, NY, USA.
Hanina Hibshoosh10. Department of Pathology, Columbia University, New York, NY, USA.
Regina M Santella6. Department of Environmental Health Sciences, Columbia University, New York, NY, USA.
Marilie D Gammon1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Columbia University · USUniversity of North Carolina at Chapel Hill · USIcahn School of Medicine at Mount Sinai · USShanghai East Hospital · CN

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
LINEBERGER CANCER CONTROL EDUCATION PROGRAMR25CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EARP, JO ANNE L, RIBISL, KURT M. · 1992 to 2016
$8.0M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
Dietary Methyl Content, Epigenetics and Breast CancerR01CA109753 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHEN, JIA · 2006 to 2010
$2.9M
NCI NIH HHS R01 CA109753NCI NIH HHS R25 CA057726NCI NIH HHS T32 CA057726NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

introductionLittle is known about how modifiable lifestyle factors interact with the epigenome to influence disease. Body mass index (BMI, weight kg/height m2) and physical activity are associated with postmenopausal breast cancer, but the mechanisms are not well-understood. We hypothesized that BMI or physical activity may modify the association between markers of global DNA methylation and postmenopausal breast cancer risk.

methodsResources from a population-based case-control study (~1300 postmenopausal women) were used to construct logistic regression models. We explored whether the association between breast cancer and global methylation, assessed using the luminometric methylation assay (LUMA) and long interspersed elements-1 (LINE-1) methylation in white blood cell DNA, was modified by BMI or recreational physical activity (RPA).

resultsThe LUMA-breast cancer association was modified by BMI (multiplicative p=0.03) and RPA (p=0.004). Non-obese women in the highest quartile of LUMA experienced a greater than two-fold increased risk of postmenopausal breast cancer (BMI<25kg/m2: OR=2.16; 95% CI=1.35, 3.57 and BMI 25-29.9kg/m2: OR=2.96; 95% CI=1.69, 5.19) compared to women in the lowest LUMA quartile. Similar increases in the LUMA-breast cancer association were observed among women who were physically active (moderate RPA: OR=2.62; 95% CI=1.44, 4.75 and high RPA: OR=2.62; 95% CI=1.53, 4.49). Estimates among obese and inactive women were less pronounced and imprecise. Although we observed statistical interactions (p<0.05) between BMI and RPA with LINE-1, we were unable to discern any clear associations with breast cancer.

conclusionsThe association between LUMA and postmenopausal breast cancer risk may be modified by postmenopausal body size and physical activity.

Indexed as

breast cancerepidemiologyglobal DNA methylationObesityphysical activity

Identifiers

PMID26000047
PMCPMC4439941
OpenAlexW2161943340

What OpenQuestion holds

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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.