Evidence map›Paper›PMID 42331813›Full record

ArticleNPJ breast cancer2026

Effects of breast cancer risk factors on the tumor microenvironment: a morphological deep-learning analysis of three prospective cohorts.

Clara Bodelon, Mohamed Amgad, James M Hodge, Maha A T Elsebaie, Mariah Landry, Cheng Peng, Rulla M Tamimi, Peter Kraft, Lauren E McCullough, Mark E Sherman and 4 more

Abstract read
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In one paragraph

Article in NPJ breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Clara BodelonDepartment of Population Science, American Cancer Society, Atlanta, GA, USA. clara.bodelon@cancer.org.
Mohamed AmgadDepartment of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
James M HodgeDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Maha A T ElsebaieDepartment of Hematology and Oncology, University of Chicago, Chicago, IL, USA.
Mariah LandryDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Cheng PengChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Peter KraftDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Lauren E McCulloughDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Mark E ShermanDepartment of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Mia M GaudetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Alpa V PatelDepartment of Population Science, American Cancer Society, Atlanta, GA, USA.
Lee A D Cooper *Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Lauren R Teras *Department of Population Science, American Cancer Society, Atlanta, GA, USA.

Funding

Living beyond cancer: the short- and long-term cognitive effects of breast cancer and its treatment for cancer survivorsK01AG080030 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Cheng Peng · 2023 to 2026
$524k
NIA NIH HHS K01 AG080030
6 · The paper itself

Abstract

Emerging evidence suggests a critical role of the tumor microenvironment (TME) in breast cancer (BC) development and outcomes, yet factors that modify the TME are poorly understood. We investigated the relationship between BC etiological factors and the tumor and TME using 110 histological features of the epithelium, stroma, and immune infiltration, computationally quantified in 3724 H&E slides from three prospective cohort studies. Age, race, hormonal, and lifestyle factors were associated with features of the breast TME. Menopausal hormone therapy was associated with epithelial and stromal features found in less aggressive tumors, while higher body mass index (BMI) was associated with two histological features not captured by grade, and both were associated with poor prognosis. These two features mediated the BMI and BC-specific mortality association by 18.1%. Our findings provide novel insights into the role of etiological factors on the TME including modifiable factors that have implications for prevention and outcomes.

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Registered trials

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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.