Evidence map›Paper›PMID 28693600›Full record

ArticleBreast cancer research : BCR2017

Normal breast tissue DNA methylation differences at regulatory elements are associated with the cancer risk factor age.

Kevin C Johnson, E Andres Houseman, Jessica E King, Brock C Christensen

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 86 citations in OpenAlex.

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  8. Non-coding 886 (Epigenetics · 2024
    Review
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  12. Current status and challenges of breast cancer prevention~DNA methylation would lead to groundbreaking progress in breast cancer prevention~.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2023
    Review
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  19. Application of Novel Breast Biospecimen Cell-Type Adjustment Identifies Shared DNA Methylation Alterations in Breast Tissue and Milk with Breast Cancer-Risk Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    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

4 authors at 2 institutions in 1 country.

Kevin C JohnsonDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, 03756, USA.
E Andres HousemanDepartment of Biostatistics, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, 97331, USA.
Jessica E KingDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, 03756, USA.
Brock C ChristensenDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, 03756, USA. Brock.Christensen@dartmouth.edu.
Dartmouth College · USOregon State University · US

Funding

Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2022
$23.7M
MicroRNA related genetic variation and head and neck cancerR01DE022772 · NIDCR · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2016
$2.7M
Epigenetics in Neurodevelopment and Mental HealthR01MH094609 · NIMH · DARTMOUTH COLLEGE · PI MARSIT, CARMEN JOSEPH · 2011 to 2015
$2.3M
NIDCR NIH HHS R01 DE022772NIGMS NIH HHS P20 GM104416NIMH NIH HHS R01 MH094609
6 · The paper itself

Abstract

backgroundThe underlying biological mechanisms through which epidemiologically defined breast cancer risk factors contribute to disease risk remain poorly understood. Identification of the molecular changes associated with cancer risk factors in normal tissues may aid in determining the earliest events of carcinogenesis and informing cancer prevention strategies.

methodsHere we investigated the impact cancer risk factors have on the normal breast epigenome by analyzing DNA methylation genome-wide (Infinium 450 K array) in cancer-free women from the Susan G. Komen Tissue Bank (n = 100). We tested the relation of established breast cancer risk factors, age, body mass index, parity, and family history of disease, with DNA methylation adjusting for potential variation in cell-type proportions.

resultsWe identified 787 cytosine-guanine dinucleotide (CpG) sites that demonstrated significant associations (Q value <0.01) with subject age. Notably, DNA methylation was not strongly associated with the other evaluated breast cancer risk factors. Age-related DNA methylation changes are primarily increases in methylation enriched at breast epithelial cell enhancer regions (P = 7.1E-20), and binding sites of chromatin remodelers (MYC and CTCF). We validated the age-related associations in two independent populations, using normal breast tissue samples (n = 18) and samples of normal tissue adjacent to tumor tissue (n = 97). The genomic regions classified as age-related were more likely to be regions altered in both pre-invasive (n = 40, P = 3.0E-03) and invasive breast tumors (n = 731, P = 1.1E-13).

conclusionsDNA methylation changes with age occur at regulatory regions, and are further exacerbated in cancer, suggesting that age influences breast cancer risk in part through its contribution to epigenetic dysregulation in normal breast tissue.

Indexed as

DNA MethylationRegulatory Sequences, Nucleic AcidAdolescentAdultAgedAged, 80 and overAge FactorsBiopsyBreast NeoplasmsCpG IslandsEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGenomicsHumansMammary Glands, Human5mCAgingBreast cancerDNA methylationEpigenetic driftEpigeneticsNormal breastReference-freeRisk factors

Identifiers

PMID28693600
PMCPMC5504720
OpenAlexW2725163236

What OpenQuestion holds

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LicenceCC BY
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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.