Evidence map›Paper›PMID 41706454›Full record

ArticleJAMA network open2026

A Geographically Sensitive Neighborhood Exposome-Wide Association Study for Breast Cancer Survival.

Joseph Boyle, Hua Zhao, Kathryn Hughes Barry, Jie Shen, Carrie A Miller, Cheryl L Knott, Bernard F Fuemmeler

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Joseph BoyleDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond.
Hua ZhaoDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville.
Kathryn Hughes BarryProgram in Oncology, University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore.
Jie ShenDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville.
Carrie A MillerDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond.
Cheryl L KnottProgram in Oncology, University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore.
Bernard F FuemmelerDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond.

Funding

Epigenomic and transcriptomic markers of aggressive prostate cancer among African American menK07CA230182 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI BARRY, KATHRYN HUGHES · 2018 to 2023
$827k
NCI NIH HHS K07 CA230182
6 · The paper itself

Abstract

Importance: Growing literature recognizes the importance of contextual influences on outcomes across the cancer continuum, beyond those of individual biological and lifestyle factors. These contextual influences represent a neighborhood exposome consisting of socioeconomic, demographic, and built environmental factors. Objective: To identify which neighborhood-level factors are most relevant for cancer outcomes and determine the geographic scale of their operation. Design, Setting, and Participants: This cohort study of women with a primary diagnosis of breast cancer developed a geographically sensitive neighborhood exposome-wide association study (gs-NWAS) framework to determine specific neighborhood-level factors that may be associated with outcomes beyond individual-level factors. The study was performed at the University of Virginia Comprehensive Cancer Center from January 2014 to December 2024. Exposures: An analysis framework that assigned many neighborhood exposome components at 3 geographic scales: census tract and 1- and 5-km area-weighted buffer. Individual-level confounders (race and ethnicity, alcohol use, tobacco use, and body mass index) were also considered. Main Outcomes and Measures: Survival among women diagnosed with breast cancer. The gs-NWAS chose each component's most relevant scale of operation, determined factors adjusted for multiple comparisons associated with survival in adjusted Cox proportional hazards regression models, and used machine learning methods (elastic net regression) to validate and condense these components. Hazard ratios (HRs), 95% CIs, and P values were reported. Results: Participants included 2727 women diagnosed with breast cancer (median age, 66 [IQR, 57-75] years) followed up for a median of 1697 (IQR, 945-2536) days (330 Black [12%], 2227 White [82%], and 170 other or unknown race [6%]); known cancer stage at diagnosis included I in 1668 (61%), II in 741 (27%), and III in 301 (11%). Four neighborhood exposome factors were associated with shorter breast cancer survival: high housing cost among low-income households (HR, 1.02; 95% CI, 1.00-1.03; P = .02 [tract]), people who recently moved to their current residence (HR, 1.06; 95% CI, 1.02-1.10; P = .001 [5-km buffer]), people renting in crowded households (HR, 1.03; 95% CI, 1.02-1.05; P < .001 [tract]), and the number of public preschoolers (HR, 1.06; 95% CI, 1.02-1.10; P = .001 [1-km buffer]). Conclusions and Relevance: In this cohort study of women diagnosed with breast cancer, a gs-NWAS was developed and applied to determine key components of the neighborhood exposome and their geographic scales of operation, identifying neighborhood-level factors in housing, economic, and demographic domains associated with breast cancer survival. Future studies should validate these findings in different populations and tailor this framework to their respective populations.

Indexed as

Breast NeoplasmsNeighborhood CharacteristicsResidence CharacteristicsAgedCohort StudiesFemaleHumansMiddle AgedRisk FactorsSocioeconomic FactorsVirginia

Identifiers

PMID41706454
PMCPMC12917675

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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.