Evidence map›Paper›PMID 39992653›Full record

ArticleJAMA network open2025

Neighborhood Environment, DNA Methylation, and Presence of Crown-Like Structures of the Breast.

Alexandra R Harris, Jeri D Hughes, Wayne R Lawrence, Petra Lenz, Jamirra Franklin, Praphulla M S Bhawsar, Tiffany H Dorsey, Emily L Rossi, Catherine M Pichardo, Margaret S Pichardo and 9 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Differential effects of neighborhood ambient PMInternational journal of health geographics · 2026
    Article
  4. Review
  5. Review
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

19 authors.

Alexandra R HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Jeri D HughesDepartment of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Wayne R LawrenceMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Petra LenzMolecular Digital Pathology Laboratory, Division of Cancer Epidemiology and Genetics, NCI, Leidos Biomedical Research Inc, Frederick, Maryland.
Jamirra FranklinLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Praphulla M S BhawsarTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Tiffany H DorseyLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Emily L RossiLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Catherine M PichardoLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Margaret S PichardoDepartment of Surgery, Hospital of the University of Pennsylvania, Penn Medicine, Philadelphia.
Alexandra J WhiteEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Cody RaminIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Máire A DugganDepartment of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mustapha AbubakarIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Aaron M RozeboomMolecular Digital Pathology Laboratory, Division of Cancer Epidemiology and Genetics, NCI, Leidos Biomedical Research Inc, Frederick, Maryland.
Jonas S AlmeidaTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Gretchen L GierachIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Rockville, Maryland.
Stefan AmbsLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.
Brittany D JenkinsLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Inflammation impacts cancer risk and tumor biological processes, yet studies linking it to social and environmental risk factors are lacking. Objective: To investigate the association of neighborhood deprivation and air pollution with breast adipose inflammation as well as the association between crown-like structures of the breast (CLS-B) and DNA methylation in Black and White women. Design, Setting, and Participants: This cross-sectional study analyzed women with and without breast cancer participating in the National Cancer Institute-Maryland Breast Cancer Study, most of whom were recruited between January 1, 1993, and December 1, 2003, from the University of Maryland Medical Center and surrounding hospitals in the Baltimore, Maryland, area. A small subset of the sample was recruited between March 27, 2012, and November 27, 2017. Noncancerous breast tissue was collected from women who underwent reduction mammoplasty or breast cancer surgery. Statistical analyses were conducted between May and August 2024. Exposures: Two socioenvironmental exposures were examined: air pollution (specifically, fine particulate matter less than 2.5 μm in diameter [PM2.5]) and neighborhood deprivation (measured with Neighborhood Deprivation Index [NDI]). Participant geocodes were linked to 2000 US Census data to calculate PM2.5 concentrations (total mass [μg/m3]) and NDI. Main Outcomes and Measures: Breast tissues underwent immunohistochemical staining for pan-macrophage marker CD68 to detect 2 outcomes: CLS-B and adipose-associated macrophages. CLS-B and adipose-related macrophages were assessed by pathologists using artificial intelligence-assisted and manual approaches. Covariate-adjusted logistic regression models were used to ascertain associations between PM2.5 and NDI (exposures) and presence or absence of CLS-B (outcome); CD68-positive adipose macrophages were modeled as a dichotomous high or low variable. Covariate-adjusted linear regression was used to identify associations between CLS-B (exposure) and DNA methylation (outcome). Results: The cohort included 205 participants (127 Black [62.0%], 78 White [38.0%] women; mean [SD] age, 48.7 [13.3] years). Women with vs without CLS-B had higher median (IQR) body mass index (calculated as weight in kilograms divided by height in meters squared; 35.5 [30.5-40.9] vs 31.8 [26.6-36.4]; P = .02). Higher levels of PM2.5 (odds ratio [OR], 2.32; 95% CI, 1.12-4.78; P = .02) and NDI (OR, 1.21; 95% CI, 1.02-1.43; P = .03) were associated with presence of CLS-B overall; findings were still significant among Black women (PM2.5: OR, 2.64 [95% CI, 1.10-6.33], P = .03; NDI: OR, 1.22 [95% CI, 1.01-1.48], P = .04) but were not statistically significant among White women (PM2.5: OR, 1.65 [95% CI, 0.45-5.99], P = .45; NDI: OR, 1.19 [95% CI, 0.83-1.70], P = .35). Higher PM2.5 concentration was associated with increased macrophage infiltration (OR, 2.11; 95% CI, 1.24-3.60; P = .006), with similar outcomes by race. The top 2 significant differentially methylated CpG sites by CLS-B status were SAR1B (β = 0.01; 95% CI, 0.01-0.02; P < .001) and IL2RB (β = -0.04; 95% CI, -0.05 to -0.02; P < .001). Significant interaction was observed between CLS-B status and race for IL2RB methylation levels (β = -0.03; 95% CI, -0.04 to -0.01; P for interaction <.001). Conclusions and Relevance: This cross-sectional study uncovered an association between neighborhood-level social and environmental risk factors and breast tissue inflammation. The findings help inform efforts to reduce racial and socioeconomic disparities in breast cancer and improve health equity for socially vulnerable populations.

Indexed as

Air PollutionBreastBreast NeoplasmsDNA MethylationNeighborhood CharacteristicsResidence CharacteristicsAdultBlack or African AmericanCross-Sectional StudiesEnvironmental ExposureFemaleHumansInflammationMarylandMiddle AgedRisk Factors

Identifiers

PMID39992653
PMCPMC11851241

What OpenQuestion holds

Textmetadata
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.