ArticleJCI insight2025
Highly multiplexed imaging reveals prognostic immune and stromal spatial biomarkers in breast cancer.
Article in JCI insight, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Emerging biomarkers in breast fibroadenoma: implications for differential diagnosis, malignant transformation, and precision medicine.Molecular biology reports · 2026Review
- Spotlight on challenges and novel methods in highly multiplexed tissue imaging-based spatial proteomics.Journal of translational medicine · 2026Review
- Review
- Spatial immune atlas of breast cancer brain metastasis reveals CD163Journal for immunotherapy of cancer · 2026Article
- Fibroblastic aspartoacylase suppresses TGFβ-mediated responses and cancer progression.Nature communications · 2026Article
- PhenoBIC: operator-free single-cell spatial phenotyping in multiplex imaging data using deep learning of cell staining patterns.bioRxiv : the preprint server for biology · 2026Article
- Decoding the breast cancer microenvironment by spatial multi-omics: from architecture to clinical translation.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Pan-cancer Distant Metastasis Prediction Based on Graph Neural Network.Interdisciplinary sciences, computational life sciences · 2026Article
- Spatial remodeling of the tumor immune microenvironment in hepatocellular carcinoma with cirrhosis driven by Treg-CD8⁺T cell crosstalk via the SPP1-ITGA4 axis.Translational oncology · 2026Article
- Dual-mode microfluidic immunostaining device for diagnostic biomarkers detection and tumor microenvironment evaluation.Science advances · 2026Article
- Targeting the tripartite axis of immune-metabolic-spatial crosstalk to overcome therapy resistance in breast cancer.Frontiers in immunology · 2026Review
- Deciphering immunosuppressive niches by spatial single-cell proteomics: spatial interaction networks and translational opportunities.Frontiers in immunology · 2026Review
- Article
- The Prolyl Isomerase PIN1 Affects Fibroblast Differentiation States and Cross-talk in Pancreatic Cancer.Cancer research · 2025Article
- Review
- Spatial Dependence and Heterogeneity in Molecular Imaging: Moran Quadrant Maps Enable Advanced Spatial-Statistical Analysis.bioRxiv : the preprint server for biology · 2025Article
- Decoding metastatic microenvironments through single-cell omics reveals new insights into niche dynamics and tumor evolution.PLoS biology · 2025Article
- PIVOT: an open-source tool for multi-omic spatial data registration.bioRxiv : the preprint server for biology · 2025Article
- Analysis of single-cell and spatial transcriptomics in TNBC cell-cell interactions.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Spatial profiling of tissues promises to elucidate tumor-microenvironment interactions and generate prognostic and predictive biomarkers. We analyzed single-cell spatial data from 3 multiplex imaging technologies: cyclic immunofluorescence (CycIF) data we generated from 102 patients with breast cancer with clinical follow-up as well as publicly available mass cytometry and multiplex ion-beam imaging datasets. Similar single-cell phenotyping results across imaging platforms enabled combined analysis of epithelial phenotypes to delineate prognostic subtypes among patients who are estrogen-receptor+ (ER+). We utilized discovery and validation cohorts to identify biomarkers with prognostic value. Increased lymphocyte infiltration was independently associated with longer survival in triple-negative (TN) and high-proliferation ER+ breast tumors. An assessment of 10 spatial analysis methods revealed robust spatial biomarkers. In ER+ disease, quiescent stromal cells close to tumor were abundant in tumors with good prognoses, while tumor cell neighborhoods containing mixed fibroblast phenotypes were enriched in poor-prognosis tumors. In TN disease, macrophage/tumor and B/T lymphocyte neighbors were enriched, and lymphocytes were dispersed in good-prognosis tumors, while tumor cell neighborhoods containing vimentin+ fibroblasts were enriched in poor-prognosis tumors. In conclusion, we generated comparable single-cell spatial proteomic data from several clinical cohorts to enable prognostic spatial biomarker identification and validation.
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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.