ArticleBritish journal of cancer2021
Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast.
Article in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- DCIS Progression and the Tumor Microenvironment: Molecular Insights and Prognostic Challenges.Cancers · 2025Review
- Clinical Proteomics Reveals Vulnerabilities in Noninvasive Breast Ductal Carcinoma and Drives Personalized Treatment Strategies.Cancer research communications · 2025Article
- Hyperactivation of mTOR/eIF4E Signaling Pathway Promotes the Production of Tryptophan-To-Phenylalanine Substitutants in EBV-Positive Gastric Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Companion diagnostic requirements for spatial biology using multiplex immunofluorescence and multispectral imaging.Frontiers in molecular biosciences · 2023Review
- Overexpression of Estrogen Receptor α in Mammary Glands of Aging Mice Is Associated with a Proliferative Risk Signature and Generation of Estrogen Receptor α-Positive Mammary Adenocarcinomas.The American journal of pathology · 2023Article
- Ductal Carcinoma In Situ of Breast: From Molecular Etiology to Therapeutic Management.Endocrinology · 2022Review
- Next-Generation Pathology Using Multiplexed Immunohistochemistry: Mapping Tissue Architecture at Single-Cell Level.Frontiers in oncology · 2022Review
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Authors and funding
13 authors.
Funding
Abstract
backgroundThere is limited knowledge about DCIS cellular composition and relationship with breast cancer events (BCE).
methodsImmunofluorescence multiplexing (MxIF) was used to image and quantify 32 cellular biomarkers in FFPE DCIS tissue microarrays. Over 75,000 DCIS cells from 51 patients (median 9 years follow-up for non-BCE cases) were analysed for profiles predictive of BCE. K-means clustering was used to evaluate cellular co-expression of epithelial markers with ER and HER2.
resultsOnly ER, PR and HER2 significantly correlated with BCE. Cluster analysis identified 6 distinct cell groups with different levels of ER, Her2, cMET and SLC7A5. Clusters 1 and 3 were not significant. Clusters 2 and 4 (high ER/low HER2 and SLC7A5/mixed cMET) significantly correlated with low BCE risk (P = 0.001 and P = 0.034), while cluster 6 (high HER2/low ER, cMET and SLC7A5) correlated with increased risk (P = 0.018). Cluster 5 (similar to cluster 6, except high SLC7A5) trended towards significance (P = 0.072). A continuous expression score (Escore) based on these 4 clusters predicted likelihood of BCE (AUC = 0.79, log-rank test P = 5E-05; LOOCV AUC = 0.74, log-rank test P = 0.006).
conclusionMultiplexed spatial analysis of limited tissue is a novel method for biomarker analysis and predicting BCEs. Further validation of Escore is needed in a larger cohort.
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