Evidence map›Paper›PMID 40366376›Full record

ArticleJournal of the National Cancer Institute2025

Unraveling the role of stromal disruption in aggressive breast cancer etiology and outcomes.

Mustapha Abubakar, Máire A Duggan, Shaoqi Fan, Ruth M Pfeiffer, Scott Lawrence, Karun Mutreja, Alyssa Klein, Hela Koka, Thomas U Ahearn, Jill E Henry and 12 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 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.

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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

22 authors.

Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.ORCID 0000-0003-3728-6535
Máire A DugganDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.ORCID 0000-0001-5894-7510
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.ORCID 0000-0001-7791-2698
Scott LawrenceMolecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, United States.
Karun MutrejaMolecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, MD, United States.
Alyssa KleinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.
Hela KokaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.
Thomas U AhearnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.
Jill E HenryBiospecimen Collection and Banking Core, Susan G. Komen Tissue Bank at the IU Simon Comprehensive Cancer Center, Indianapolis, IN, United States.
Brian L SpragueUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, United States.
Pamela M VacekUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, United States.
Donald L WeaverUniversity of Vermont College of Medicine and Vermont Cancer Center, Burlington, VT, United States.
Kathryn Richert-BoeKaiser Permanente Center for Health Research, Portland, OR, United States.
Teresa M KimesKaiser Permanente Center for Health Research, Portland, OR, United States.
Nicolas TitiloyeKomfo Anokye Teaching Hospital, Kumasi, Ghana.ORCID 0000-0001-7578-5859
Lawrence EduseiKorle Bu Teaching Hospital, Accra, Ghana.
Jonine D FigueroaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.ORCID 0000-0002-5100-623X
Xiaohong R YangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.
Montserrat Garcia-ClosasDivision of Cancer Genetics and Epidemiology, Institute of Cancer Research London, Sutton, United Kingdom.ORCID 0000-0003-1033-2650
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.
Gretchen L GierachDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health (NIH), Bethesda, MD, United States.ORCID 0000-0002-0165-5522

Funding

Project 3: MANCR Mediates Epigenetic Mechanisms for Survival of Advanced Breast CancerP01CA240685 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI STEIN, JANET L · 2021 to 2025
$8.7M
Clinical breast cancer risk prediction models for women with a high-risk benign breast diagnosisR01CA282725 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI Brian L Sprague, Donald Lee Weaver · 2023 to 2026
$3.0M
Breast Cancer Research Foundation BCRF-23-140Breast Cancer Research Foundation R01CA282725NCINCI NIH HHS P01 CA240685NCI NIH HHS P01CA240685NCI NIH HHS R01 CA282725NIH
6 · The paper itself

Abstract

backgroundAggressive (typically high-grade) breast cancers (BCs) remain major contributors to BC-related mortality globally. The tissue changes underpinning their etiology and outcomes, however, remain poorly characterized.

methodsSpatially resolved machine-learning algorithms were used to characterize "stromal disruption" as a morphological metric of reduced/altered extracellular matrix and increased immune, inflammatory, and/or wound response-related processes in normal, benign breast disease (BBD), and invasive hematoxylin and eosin (H&E)-stained breast tissues. Associations of stromal disruption with BC etiologic factors were assessed among 4023 healthy breast tissue donors, its impact on BC incidence was assessed among 974 BBD patients in a nested case-control study, while its prognostic associations were assessed in 4 BC patient cohorts (n = 4223).

resultsEpidemiologic risk factors for aggressive BC, including younger age, multiparity, Black race, obesity, and family history, demonstrated strong associations with increasing stromal disruption in H&E sections prior to tumor development. Substantial stromal disruption in BBD H&E was associated with ∼4-fold increased risk of aggressive (high-grade) BC and ∼3 years shorter latency from BBD to BC diagnosis, independently of BBD histology. Across BC cohorts, stromal disruption in H&E was associated with aggressive (mostly high-grade) tumor phenotypes and with markedly poor prognosis among ER-positive patients, irrespective of histology. The immunobiology of stromal disruption reflected heightened innate (CD68+), adaptive (CD3+CD4+, CD3+CD8+), immunoregulatory (CD3+CD4+FOXP3+), immune escape (PD1+PDL1+), endothelial (CD31+), and myofibroblast (α-SMA+) marker expression.

conclusionOur findings highlight the active stromal role in aggressive BC etiology and outcomes, opening possibilities for readily identifying high-risk women across the BC continuum that may benefit from stroma-centric preventative or therapeutic strategies.

Indexed as

Breast NeoplasmsStromal CellsAdultAgedBiomarkers, TumorBreastCase-Control StudiesFemaleHumansMachine LearningMiddle AgedPrognosisRisk FactorsTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID40366376
PMCPMC12342738

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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.