ArticleCommunications biology2021
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- 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
- Tumor-immune trajectory context connects static tissue architecture to clinical outcomes.bioRxiv : the preprint server for biology · 2026Article
- Review
- Article
- Highly multiplexed imaging reveals prognostic immune and stromal spatial biomarkers in breast cancer.JCI insight · 2025Article
- Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy.Therapeutic advances in medical oncology · 2025Article
- Myeloid-driven immunosuppression in head and neck cancer: single-cell ATAC/RNA and spatial transcriptomic perspectives.Frontiers in oncology · 2025Review
- Pseudo-spectral angle mapping for pixel and cell classification in highly multiplexed immunofluorescence images.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Statistical analysis of multiple regions-of-interest in multiplexed spatial proteomics data.Briefings in bioinformatics · 2024Article
- Spatial landscapes of cancers: insights and opportunities.Nature reviews. Clinical oncology · 2024Review
- Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments.PLoS computational biology · 2024Article
- Pseudo-spectral angle mapping for automated pixel-level analysis of highly multiplexed tissue image data.bioRxiv : the preprint server for biology · 2024Article
- T cell-mediated curation and restructuring of tumor tissue coordinates an effective immune response.Cell reports · 2023Article
- Using the power of innate immunoprofiling to understand vaccine design, infection, and immunity.Human vaccines & immunotherapeutics · 2023Review
- NIPMAP: niche-phenotype mapping of multiplex histology data by community ecology.Nature communications · 2023Article
- Advances in the application of computational pathology in diagnosis, immunomicroenvironment recognition, and immunotherapy evaluation of breast cancer: a narrative review.Journal of cancer research and clinical oncology · 2023Review
- MYC Deregulation and PTEN Loss Model Tumor and Stromal Heterogeneity of Aggressive Triple-Negative Breast Cancer.Nature communications · 2023Article
- Deriving spatial features from in situ proteomics imaging to enhance cancer survival analysis.Bioinformatics (Oxford, England) · 2023Article
- Functional biomaterials for biomimetic 3D in vitro tumor microenvironment modeling.In vitro models · 2023Review
- Methods for assessment of the tumour microenvironment and immune interactions in non-small cell lung cancer. A narrative review.Frontiers in oncology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer, the poorest-prognosis breast cancer subtype, lacks clinically approved biomarkers for patient risk stratification and treatment management. Prior literature has shown that interrogation of the tumor-immune microenvironment may be a promising approach to fill these gaps. Recently developed high-dimensional tissue imaging technology, such as multiplexed ion beam imaging, provide spatial context to protein expression in the microenvironment, allowing in-depth characterization of cellular processes. We demonstrate that profiling the functional proteins involved in cell-to-cell interactions in the microenvironment can predict recurrence and overall survival. We highlight the immunological relevance of the immunoregulatory proteins PD-1, PD-L1, IDO, and Lag3 by tying interactions involving them to recurrence and survival. Multivariate analysis reveals that our methods provide additional prognostic information compared to clinical variables. In this work, we present a computational pipeline for the examination of the tumor-immune microenvironment using multiplexed ion beam imaging that produces interpretable results, and is generalizable to other cancer types.
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