Evidence map›Paper›PMID 41778393›Full record

ArticleEpigenetics2026

Associations of breast DNA methylation-based measures of biological ageing with obesity-related breast cancer risk markers.

Amarnath Singh, Joseph P McElroy, Daniel Y Weng, Sarah A Reisinger, Jo L Freudenheim, Peter G Shields, Min-Ae Song

Abstract read
In one paragraph

Article in Epigenetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Amarnath SinghComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.ORCID 0000-0003-1762-6686
Joseph P McElroyDepartment of Biomedical Informatics, Biomedical Informatics Shared Resources (BISR), The Ohio State University, Columbus, OH, USA.
Daniel Y WengComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Sarah A ReisingerCenter for Tobacco Research, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Jo L FreudenheimDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA.
Peter G ShieldsComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Min-Ae SongCollege of Public Health, The Ohio State University, Columbus, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancing age and deregulated obesity are well-established risk factors for breast cancer risk. While epigenetic ageing, a measure of biological ageing, has been linked to breast cancer risk, prior studies have mainly focused on blood-based measures. We aimed to study well-established epigenetic age estimates in normal breast tissue in relation to obesity-related metabolic markers. We analysed breast tissue from 91 cancer-free women, using DNA methylation age (mAge) clocks, including first-generation clocks (Hannum, Horvath), mortality-related clocks (Grim, Pheno), and methylation-based telomere length (DNAmTL). Pearson correlations assessed relationships among the clocks. Linear regression was used to associate mAge clocks with obesity-related blood markers (leptin, adiponectin, IGF-1, IGFBP-3), adjusting for chronological age, race, body mass index (BMI), and smoking, applying a false discovery rate threshold of 0.1. We explored effect modification by menopausal status using interaction terms. In the normal breast tissue, the strongest correlation of mAge estimates was observed between Horvath-mAge and Grim-mAge (r = 0.85). BMI was positively associated with all mAge estimates except Pheno-mAge. Older Grim-mAge and longer DNAmTL were associated with higher levels of adiponectin, IGF-1, and IGFBP-3, while older Horvath-mAge was associated only with IGF-1. Associations of DNAmTL with IGF-1 and adiponectin differed statistically by menopausal status. Epigenetic age in breast tissue, particularly Grim and DNAmTL, is associated with obesity-related metabolic markers, independent of chronological age, BMI, and smoking. Although limited by a moderate sample size, our findings indicate a potential biological pathway linking mAge-related metabolic dysregulation that may provide insight into breast cancer risk.

Indexed as

AgingBreastBreast NeoplasmsDNA MethylationObesityAdiponectinAdultAgedBiomarkers, TumorBody Mass IndexEpigenesis, GeneticFemaleHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor ILeptinAdiponectinBiomarkers, TumorInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor ILeptinbreast cancer riskbreast tissueEpigenetic ageobesity-related metabolic markers

Identifiers

PMID41778393
PMCPMC12962683

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.