Evidence map›Paper›PMID 26945992›Full record

ArticleBreast cancer research and treatment2016

DNA methylation modifies the association between obesity and survival after breast cancer diagnosis.

Lauren E McCullough, Jia Chen, Yoon Hee Cho, Nikhil K Khankari, Patrick T Bradshaw, Alexandra J White, Gail Garbowski, Susan L Teitelbaum, Mary Beth Terry, Alfred I Neugut and 3 more

Abstract read
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In one paragraph

Article in Breast cancer research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Obesity Inhibits Angiogenesis Through TWIST1-SLIT2 Signaling.Frontiers in cell and developmental biology · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

13 authors at 6 institutions in 1 country.

Lauren E McCulloughDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. lauren.mccullough@emory.edu.
Jia ChenDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Yoon Hee ChoDepartment of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA.
Nikhil K KhankariDivision of Epidemiology, Vanderbilt University, Nashville, TN, 37235, USA.
Patrick T BradshawSchool of Public Health Division of Epidemiology, University of California Berkeley, Berkeley, CA, 94720, USA.
Alexandra J WhiteEpidemiology Branch National Institute of Environmental Health Science, Research Triangle Park, NC, 27709, USA.
Gail GarbowskiDepartment of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA.
Susan L TeitelbaumDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Mary Beth TerryDepartment of Epidemiology, Columbia University, New York, NY, 10032, USA.
Alfred I NeugutDepartment of Epidemiology, Columbia University, New York, NY, 10032, USA.
Hanina HibshooshDepartment of Pathology, Columbia University, New York, NY, 10032, USA.
Regina M SantellaDepartment of Environmental Health Sciences, Columbia University, New York, NY, 10032, USA.
Marilie D GammonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Columbia University · USIcahn School of Medicine at Mount Sinai · USUniversity of North Carolina at Chapel Hill · USTriangle · USUniversity of California, Berkeley · USVanderbilt University · US

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
Dietary Methyl Content, Epigenetics and Breast CancerR01CA109753 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHEN, JIA · 2006 to 2010
$2.9M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerR25CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEIMBURGER, DOUGLAS CORBETT, SHU, XIAO-OU · 2012 to 2016
$2.1M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
NCI NIH HHS 3R01CA109753-04S1NCI NIH HHS R01 CA109753NCI NIH HHS R01CA109753NCI NIH HHS R01CA66572NCI NIH HHS R25 CA057726NCI NIH HHS R25CA057726NCI NIH HHS R25 CA160056NCI NIH HHS U01 CA066572NCI NIH HHS UO1CA/ES66572NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30ES009089NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30ES10126
6 · The paper itself

Abstract

Mechanisms underlying the poor breast cancer prognosis among obese women are unresolved. DNA methylation levels are linked to obesity and to breast cancer survival. We hypothesized that obesity may work in conjunction with the epigenome to alter prognosis. Using a population-based sample of women diagnosed with first primary breast cancer, we examined modification of the obesity-mortality association by DNA methylation. In-person interviews were conducted approximately 3 months after diagnosis. Weight and height were assessed [to estimate body mass index (BMI)], and blood samples collected. Promoter methylation of 13 breast cancer-related genes was assessed in archived tumor by methylation-specific PCR and Methyl Light. Global methylation in white blood cell DNA was assessed by analysis of long interspersed elements-1 (LINE-1) and with the luminometric methylation assay (LUMA). Vital status among 1308 patients (with any methylation biomarker and complete BMI assessment) was determined after approximately 15 years of follow-up (N = 194/441 deaths due to breast cancer-specific/all-cause mortality). We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) using two-sided p values of 0.05. Breast cancer-specific mortality was higher among obese (BMI ≥ 30) patients with promoter methylation in APC (HR = 2.47; 95 % CI = 1.43-4.27) and TWIST1 (HR = 4.25; 95 % CI = 1.43-12.70) in breast cancer tissue. Estimates were similar, but less pronounced, for all-cause mortality. Increased all-cause (HR = 1.81; 95 % CI = 1.19-2.74) and breast cancer-specific (HR = 2.61; 95 % CI = 1.45-4.69) mortality was observed among obese patients with the lowest LUMA levels. The poor breast cancer prognosis associated with obesity may depend on methylation profiles, which warrants further investigation.

Indexed as

DNA MethylationAdenomatous Polyposis Coli ProteinBody Mass IndexBreast NeoplasmsFemaleHumansNuclear ProteinsObesityPrognosisPromoter Regions, GeneticProportional Hazards ModelsSurvival AnalysisTwist-Related Protein 1Adenomatous Polyposis Coli ProteinAPC protein, humanNuclear ProteinsTWIST1 protein, humanTwist-Related Protein 1Body mass indexBreast cancerEpigeneticsMethylationSurvival

Identifiers

PMID26945992
PMCPMC4890602
OpenAlexW2293224832

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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.