ArticleNPJ precision oncology2025
Predicting immune responsiveness in ER-positive breast cancer for personalized therapy: a population-based study.
Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- A Simple and Robust MRI Radiomics Feature for Predicting Pathological Complete Response: A Proof-of-Concept Study in Breast Cancer Neoadjuvant Chemotherapy.Cancer reports (Hoboken, N.J.) · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
The immune system's role in estrogen receptor (ER)-positive breast cancer is poorly understood. A population-based cohort of 428 breast cancer patients with clinical and molecular data was analyzed to assess how immune biomarkers can inform treatment decisions. Tumor-intrinsic immune responsiveness and local immune infiltration were quantified, and epithelial cell states were derived using EcoTyper. The interaction between ProliferativeIndex and Immunescore predicted risk of local recurrence in ER-positive tumors (HR 0.56, 95% CI 0.36-0.88, p = 0.012). EcoTyper identified two epithelial cell states, S04 and S05, with distinct immunomodulatory properties. S04 tumors showed higher proliferation, enrichment for M1 macrophages, CD8 effector T-cells, and plasma cells, alongside hypomethylation of immune-related pathways and hypermethylation of the PI3K signaling pathway. In contrast, S05-enriched tumors were associated with fibroblast activation, immune exclusion, and enrichment for glycosylation-related pathways. These findings suggest that epithelial cell states shape immune responsiveness in ER-positive breast cancer and may inform biomarker-driven treatment strategies.
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Registered trials
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