Evidence map›Paper›PMID 36068634›Full record

SynthesisBreast cancer research : BCR2022

Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies.

Pierre-Antoine Dugué, Clara Bodelon, Felicia F Chung, Hannah R Brewer, Srikant Ambatipudi, Joshua N Sampson, Cyrille Cuenin, Veronique Chajès, Isabelle Romieu, Giovanni Fiorito and 15 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Breast cancer research : BCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Social relationships and epigenetic markers of aging in middle-aged and older adults: cross-sectional and prospective analyses.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  9. Article
  10. Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  11. Review
  12. 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

25 authors at 18 institutions in 7 countries.

Pierre-Antoine Dugué *Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia. pierre-antoine.dugue@monash.edu.
Clara Bodelon *Divison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Felicia F Chung *International Agency for Research On Cancer (IARC), Lyon, France.
Hannah R BrewerDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Srikant AmbatipudiInternational Agency for Research On Cancer (IARC), Lyon, France.
Joshua N SampsonDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Cyrille CueninInternational Agency for Research On Cancer (IARC), Lyon, France.
Veronique ChajèsInternational Agency for Research On Cancer (IARC), Lyon, France.
Isabelle RomieuInternational Agency for Research On Cancer (IARC), Lyon, France.
Giovanni FioritoDepartment of Biomedical Sciences, University of Sassari, Sassari, Italy.
Carlotta SacerdoteUnit of Cancer Epidemiology, Città della Salute e Della Scienza University-Hospital, Turin, Italy.
Vittorio KroghDepartment of Research, Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, MI, Italy.
Salvatore PanicoDipartimento di Medicina Clinica e Chirurgia Federico II University, Naples, Italy.
Rosario TuminoHyblean Association for Epidemiological Research AIRE-ONLUS, Ragusa, Italy.
Paolo VineisMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Silvia PolidoroItalian Institute for Genomic Medicine (IIGM), Turin, Italy.
Laura BagliettoDepartment of Clinical and Experimental Medicine, University of Pisa, 56126, Pisa, Italy.
Dallas EnglishCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Gianluca SeveriCESP UMR1018, Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Zdenko Herceg *International Agency for Research On Cancer (IARC), Lyon, France.
Montserrat Garcia-Closas *Divison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
James M Flanagan *Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Melissa C Southey *Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Centre International de Recherche sur le Cancer · FRDivision of Cancer Epidemiology and GeneticsImperial College London · GBMonash University · AUUniversity of Melbourne · AUAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITCancer Council Victoria · AUCancer Institute (WIA) · INFederico II University Hospital · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITItalian Association for Cancer Research · ITItalian institute for Genomic Medicine · ITMRC Centre for Environment and HealthSree Chitra Thirunal Institute for Medical Sciences and Technology · INSunway University · MYUniversité Paris-Saclay · FRUniversity of Pisa · ITUniversity of Sassari · IT

Funding

Medical Research Council MR/S019669/1World Health Organization 001
6 · The paper itself

Abstract

backgroundDNA methylation in blood may reflect adverse exposures accumulated over the lifetime and could therefore provide potential improvements in the prediction of cancer risk. A substantial body of research has shown associations between epigenetic aging and risk of disease, including cancer. Here we aimed to study epigenetic measures of aging and lifestyle-related factors in association with risk of breast cancer.

methodsUsing data from four prospective case-control studies nested in three cohorts of European ancestry participants, including a total of 1,655 breast cancer cases, we calculated three methylation-based measures of lifestyle factors (body mass index [BMI], tobacco smoking and alcohol consumption) and seven measures of epigenetic aging (Horvath-based, Hannum-based, PhenoAge and GrimAge). All measures were regression-adjusted for their respective risk factors and expressed per standard deviation (SD). Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional or unconditional logistic regression and pooled using fixed-effects meta-analysis. Subgroup analyses were conducted by age at blood draw, time from blood sample to diagnosis, oestrogen receptor-positivity status and tumour stage.

resultsNone of the measures of epigenetic aging were associated with risk of breast cancer in the pooled analysis: Horvath 'age acceleration' (AA): OR per SD = 1.02, 95%CI: 0.95-1.10; AA-Hannum: OR = 1.03, 95%CI:0.95-1.12; PhenoAge: OR = 1.01, 95%CI: 0.94-1.09 and GrimAge: OR = 1.03, 95%CI: 0.94-1.12, in models adjusting for white blood cell proportions, body mass index, smoking and alcohol consumption. The BMI-adjusted predictor of BMI was associated with breast cancer risk, OR per SD = 1.09, 95%CI: 1.01-1.17. The results for the alcohol and smoking methylation-based predictors were consistent with a null association. Risk did not appear to substantially vary by age at blood draw, time to diagnosis or tumour characteristics.

conclusionWe found no evidence that methylation-based measures of aging, smoking or alcohol consumption were associated with risk of breast cancer. A methylation-based marker of BMI was associated with risk and may provide insights into the underlying associations between BMI and breast cancer.

Indexed as

Breast NeoplasmsAgingDNA MethylationEpigenesis, GeneticFemaleHumansLife StyleProspective StudiesRisk FactorsBreast cancer riskDNA methylationEpigenetic agingLifestyleProspective study

Identifiers

PMID36068634
PMCPMC9446544
OpenAlexW4294707571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.