Evidence map›Paper›PMID 31101124›Full record

SynthesisBreast cancer research : BCR2019

Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies.

Clara Bodelon, Srikant Ambatipudi, Pierre-Antoine Dugué, Annelie Johansson, Joshua N Sampson, Belynda Hicks, Eric Karlins, Amy Hutchinson, Cyrille Cuenin, Veronique Chajès and 13 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
2.9field-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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  5. Prediagnostic White Blood Cell DNA Methylation and Risk of Breast Cancer in the Prostate Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Trial
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  8. Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024
    Review
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  20. Assessment ofCell journal · 2021
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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

23 authors at 11 institutions in 6 countries.

Clara BodelonDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA. clara.bodelon@nih.gov.
Srikant AmbatipudiInternational Agency for Research on Cancer (IARC), Lyon, France.
Pierre-Antoine DuguéCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Annelie JohanssonDivision of Cancer, Imperial College London, London, UK.
Joshua N SampsonDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Belynda HicksDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Eric KarlinsDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Amy HutchinsonDivison 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.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Australia.
Isabelle RomieuInternational Agency for Research on Cancer (IARC), Lyon, France.
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Dallas EnglishCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Silvia PolidoroIIGM (Italian Institute for Genomic Medicine), Turin, Italy.
Manuela AssummaIIGM (Italian Institute for Genomic Medicine), Turin, Italy.
Laura BagliettoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Paolo VineisMRC-PHE Center for Environment and Health, School of Public Health, Imperial College, London, UK.
Gianluca SeveriCESP (U1018 INSERM, Équipe Générations et Santé), Facultés de médecine Université Paris-Sud, UVSQ, Université Paris-Saclay, Villejuif, France.
Zdenko HercegInternational Agency for Research on Cancer (IARC), Lyon, France.
James M FlanaganDivision of Cancer, Imperial College London, London, UK.
Roger L MilneCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Montserrat Garcia-ClosasDivison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA.
Centre International de Recherche sur le Cancer · FRCancer Council Victoria · AUDivision of Cancer Epidemiology and GeneticsNational Cancer Institute · USImperial College London · GBUniversity of Melbourne · AUItalian institute for Genomic Medicine · ITMRC Centre for Environment and HealthUniversité Paris-Sud · FRUniversity of Pisa · ITUniversity of Turin · IT

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Cancer Research UKMedical Research Council MR/L01341X/1World Health Organization 001
6 · The paper itself

Abstract

backgroundEnvironmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date.

methodsWe assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/-), and time since blood collection (< 5, 5-10, > 10 years). The false discovery rate (q value) was used to account for multiple testing.

resultsThe average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98).

conclusionsOur data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk.

Indexed as

Circulating Tumor DNADNA MethylationDNA, NeoplasmEpigenesis, GeneticBreast NeoplasmsCase-Control StudiesCpG IslandsFemaleGene Expression ProfilingHumansMiddle AgedOdds RatioProspective StudiesRisk AssessmentRisk FactorsCirculating Tumor DNADNA, NeoplasmBlood DNA methylationBreast cancer riskMeta-analysisProspective study

Identifiers

PMID31101124
PMCPMC6525390
OpenAlexW2945453934

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.