ArticleBMC cancer2018
Mammographic density and breast tissue expression of inflammatory markers, growth factors, and vimentin.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mammographic radiomics and breast density for predicting PD-L1 expression in breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Association between breastfeeding, mammographic density, and breast cancer risk: a review.International breastfeeding journal · 2024Review
- Untargeted serum metabolomic profiles and breast density in young women.Cancer causes & control : CCC · 2024Article
- Comparison ofMolecular imaging and biology · 2022Article
- Mammographic density to predict response to neoadjuvant systemic breast cancer therapy.Journal of cancer research and clinical oncology · 2022Article
- Breast Density and Estradiol Are Major Determinants for Soluble TNF-TNF-R ProteinsFrontiers in immunology · 2022Article
- Breast tumor tissue inflammation but not lobular involution is associated with survival among breast cancer patients in the Multiethnic Cohort.Cancer epidemiology · 2020Article
- Astragalus polysaccharide inhibits breast cancer cell migration and invasion by regulating epithelial‑mesenchymal transition via the Wnt/β‑catenin signaling pathway.Molecular medicine reports · 2020Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundMammographic density is a known risk factor for breast cancer, but the underlying pathologic characteristics are not well understood. The current analysis investigated the expression of several markers of interest, e.g., inflammation and growth, with mammographic density (MD) in normal and malignant breast tissue specimens from 279 women of the Multiethnic Cohort (MEC).
methodsBreast cancer cases, recruited from a nested case-control study within the MEC, provided mammograms for density evaluation. Protein expression (COX-2, TNF-α, TGF-β, IGF-1R, IGFBP-2, and vimentin) was assessed by immunohistochemical detection. Linear regression was applied to evaluate the relation between marker expression and percent density and to compute adjusted means with 95% confidence intervals (CI) by marker status while adjusting for confounders.
resultsDue to missing cores and tissue, normal tissue could only be evaluated for COX-2 and vimentin. No significant associations with mammographic density were detected for all markers analyzed. For inflammatory markers (TNF-α, COX-2, and TGF-β) in tumor tissue, MD were non-significantly higher with stronger expression but the differences were very small. For example, the mean MD values for no, weak, and strong TNF-α expression were 35% (95% CI 24-47%), 39% (95% CI 29-48%), and 38% (95% CI 27-50%). In a posthoc analysis among postmenopausal women only, the difference across categories of TNF-α expression increased to 25% (95% CI 12-39%), 35% (95% CI 23-48%), and 35% (95% CI 20-49%).
conclusionsThe current analysis offers little support for an involvement of immunohistochemical markers representing inflammatory and growth factor pathways as predictors of breast density.
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