ArticleNature medicine2024
A multi-modal single-cell and spatial expression map of metastatic breast cancer biopsies across clinicopathological features.
Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 73 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
73 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Modeling metastasis and predicting drug response with malignant effusion-derived organoids: a systematic review and quantitative assessment.Journal of translational medicine · 2026Pooled it
- Enhancing RNA Capture Efficiency in Spatial Transcriptomics: A Review of Innovative Technologies and Strategies.International journal of molecular sciences · 2025Pooled it
- Platelets as non-canonical immune regulatory nodes: orchestrating T cell dysfunction and immunotherapy resistance in cancer.Apoptosis : an international journal on programmed cell death · 2026Review
- Metabolic immune checkpoints (MICs) in cancer: from molecular mechanisms to challenges and opportunities in clinical translation.Signal transduction and targeted therapy · 2026Review
- Host metadherin coordinates hepatic lipid metabolism and CD8Cell metabolism · 2026Article
- Decoding epithelial-mesenchymal transitions with multi-omics.Nature reviews. Genetics · 2026Review
- A CTC/DTC-centered temporal framework of bone metastasis: From dissemination to dormancy and reactivation.Journal of bone oncology · 2026Review
- Review
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Spatiotemporal transcriptomics for tumour microenvironment remodelling in cancer progression and therapy.Clinical and translational medicine · 2026Review
- Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026Review
- Multiplatform single-cell and spatial transcriptomics reveal sex-specific malignant states and architecture in male breast cancer.Science advances · 2026Article
- scTransMIL bridges patient-level disease states and single-cell transcriptomics for cancer screening and heterogeneity inference.Nature communications · 2026Article
- Microenvironment-aware transcriptome reconstruction in spatial transcriptomics.Nature communications · 2026Article
- Article
- PROFET predicts continuous gene expression dynamics from scRNA-seq data to elucidate heterogeneity of cancer treatment responses.Cell systems · 2026Article
- Molecular cartography of breast cancer: decoding genomes, heterogeneity and the tumor microenvironment for personalized targeted therapeutics.Molecular biology reports · 2026Review
- Epithelial-mesenchymal transition in carcinoma: navigating phenotypic states to target resistance and metastasis.Cancer metastasis reviews · 2026Review
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- Tumor-derived Parathyroid Hormone-Related Protein Is Associated with Suppression of Cytochrome P450 Expression: Evidence From Multimodal Transcriptomics.ACS pharmacology & translational science · 2026Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
59 authors.
Funding
Abstract
Although metastatic disease is the leading cause of cancer-related deaths, its tumor microenvironment remains poorly characterized due to technical and biospecimen limitations. In this study, we assembled a multi-modal spatial and cellular map of 67 tumor biopsies from 60 patients with metastatic breast cancer across diverse clinicopathological features and nine anatomic sites with detailed clinical annotations. We combined single-cell or single-nucleus RNA sequencing for all biopsies with a panel of four spatial expression assays (Slide-seq, MERFISH, ExSeq and CODEX) and H&E staining of consecutive serial sections from up to 15 of these biopsies. We leveraged the coupled measurements to provide reference points for the utility and integration of different experimental techniques and used them to assess variability in cell type composition and expression as well as emerging spatial expression characteristics across clinicopathological and methodological diversity. Finally, we assessed spatial expression and co-localization features of macrophage populations, characterized three distinct spatial phenotypes of epithelial-to-mesenchymal transition and identified expression programs associated with local T cell infiltration versus exclusion, showcasing the potential of clinically relevant discovery in such maps.
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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.