Evidence map›Paper›PMID 40140843›Full record

ArticleBreast cancer research : BCR2025

DNA methylation-predicted plasma protein levels and breast cancer risk.

Jacob K Kresovich, Brett M Reid, Katie M O'Brien, Zongli Xu, Doratha A Byrd, Clarice R Weinberg, Dale P Sandler, Jack A Taylor

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Jacob K KresovichDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, 33612, USA. jacob.kresovich@moffitt.org.
Brett M ReidDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, 33612, USA.
Katie M O'BrienEpidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, 27709, USA.
Zongli XuBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, 27709, USA.
Doratha A ByrdDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, 33612, USA.
Clarice R WeinbergBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, 27709, USA.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, 27709, USA.
Jack A TaylorEpidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, 27709, USA.

Funding

GENETIC SUSCEPTIBILITY AND THE ENVIRONMENT IN CANCER RISKZ01ES049033 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI TAYLOR, JACK A · 1997 to 2008
$1.4M
Intramural NIH HHS Z01 ES049033Moffitt Cancer Center 22091310NIEHS NIH HHS Z01-ES049033
6 · The paper itself

Abstract

backgroundBlood DNA methylation (DNAm) profiles have been used to show that changes in circulating leukocyte composition occur during breast cancer development, suggesting that peripheral immune system alterations are markers of breast cancer risk. Blood DNAm profiles have recently been used to predict plasma protein concentrations ("Protein EpiScores"), but their associations with breast cancer risk have not been examined in detail.

methodsWhole blood DNAm profiles were obtained for a case-cohort sample of participants in the Sister Study and used to calculate 109 Protein EpiScores. Of the 4,479 women included, 2,151 (48%) were diagnosed with breast cancer within 15 years of their baseline blood draw (median time to diagnosis: 8.6 years; 1,673 invasive cancer and 478 ductal carcinomas in situ). Protein EpiScores associations with breast cancer incidence were estimated using weighted Cox regression models, overall and stratified by time and participant characteristics.

resultsProtein EpiScores for RARRES2, IGFBP4, and CCL21 were positively associated with invasive breast cancer risk (hazard ratios from 1.17 to 1.24), while those for F7, SELL, CXCL9, CD48, and IL19 were inversely associated (hazard ratios from 0.82 to 0.86) (all FDR < 0.10). Eight immune response-related Protein EpiScores (CXCL9, CD48, FCGR3B, CXCL11, CCL21, CRTAM, VCAM1, GZMA) were associated with invasive cancers diagnosed within five years of enrollment. Protein EpiScore associations were consistently stronger for estrogen receptor-negative tumors.

conclusionsSeveral Protein EpiScores, including many related to immune response, were associated with breast cancer risk, highlighting novel changes to the peripheral immune system that occur during breast cancer development.

Indexed as

Biomarkers, TumorBlood ProteinsBreast NeoplasmsDNA MethylationAdultAgedCase-Control StudiesFemaleHumansMiddle AgedRisk FactorsBiomarkers, TumorBlood ProteinsBreast CancerDNA methylationEpidemiologyProspective cohortProteomics

Identifiers

PMID40140843
PMCPMC11948855

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.