Evidence map›Paper›PMID 40770282›Full record

ArticleScientific reports2025

Exploring associations between breast tumor inflammatory gene expression and mammographic calcifications and masses in a community-based population.

Nathan C Shaul, Melissa A Troester, Alina M Hamilton, Sheila S Lee, Louise M Henderson, Sarah J Nyante

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

6 authors.

Nathan C ShaulDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Melissa A TroesterLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Alina M HamiltonLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sheila S Lee, Greensboro, NC, USA.
Louise M HendersonDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sarah J NyanteDepartment of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. sarah_nyante@med.unc.edu.ORCID http://orcid.org/0000-0002-1770-5993

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENJAMIN CARLISLE CALHOUN · 1992 to 2026
$59.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Reproduction, Lactation and Hormonal Factors in Breast Cancer SubtypesP01CA151135 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI AMBROSONE, CHRISTINE B., OLSHAN, ANDREW · 2011 to 2017
$18.1M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
NCI NIH HHS L60 CA284495NCI NIH HHS P01 CA151135NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA016086NCI NIH HHS P50 CA058223NCI NIH HHS T32 CA057726NCI NIH HHS U01 CA070040NIH HHS P01CA154292, U01CA70040, P01CA151135, P50CA058223, P30CA016086, T32CA057726, L60CA284495Susan G Komen Foundation OGUNC1202, TREND21686258
6 · The paper itself

Abstract

Mammography is important for breast cancer detection, and calcifications and masses are the most common mammographic features. In this exploratory study, we evaluated the association between these findings and immune gene expression to determine the role that inflammation may play in mass- or calcification-associated breast cancers. This study included 205 breast cancer patients in the Carolina Breast Cancer Study and the Carolina Mammography Registry. Hierarchical clustering and logistic regression were used to examine associations between radiologist-reported imaging features and tumor RNA expression of 48 immune-related genes. The Bonferroni correction adjusted for multiple comparisons. There were statistically significant associations between CCL7 and calcifications (odd ratio [OR] = 0.52, 95% confidence interval [CI] = 0.35, 0.75) and between CCL7 and the presence of a mass (OR = 1.48 95% CI = 1.18, 1.88). Furthermore, lower expression of genes with anti-inflammatory function was associated with calcifications (p = 0.04), but not masses. However, neither mammographic masses nor calcifications were associated with global gene expression patterns using hierarchical clustering. This analysis of bulk immune markers suggests plausible associations between immune alterations and mammographic findings. Larger studies and immunoprofiling approaches sensitive to subtle variation should be conducted to identify targetable imaging characteristics, which alongside immunotherapeutic advances, may facilitate targeted breast cancer treatment.

Indexed as

Breast NeoplasmsCalcinosisGene Expression Regulation, NeoplasticInflammationAdultAgedFemaleHumansMammographyMiddle AgedBreast cancerInflammationMammographyMassPhysiologic calcification

Identifiers

PMID40770282
PMCPMC12328815

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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.