ArticleCell death & disease2021
Spatial transcriptomics reveals gene expression characteristics in invasive micropapillary carcinoma of the breast.
Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed, 40 citations in OpenAlex.
- Single-cell and spatial transcriptomics map lung-adaptive metastasis programs through Exoc4, Cd36-vasculogenic mimicry, and Cxcr2 signaling in triple-negative breast cancer.Cell death & disease · 2026Article
- Review
- Technological synergy and convergent innovation: evolutionary trajectories of AI-integrated multi-omics in cancer research and clinical translation (2015-2024).Discover oncology · 2026Article
- A prediction model and risk stratification tool for survival by chemotherapy in invasive micropapillary carcinoma of the breast: a population-based study with external validation.Frontiers in oncology · 2026Article
- Multi-Scale Transcriptomic Sequencing Data Analysis RevealsOncology research · 2026Article
- Spatial Transcriptomics Decodes Breast Cancer Microenvironment Heterogeneity: From Multidimensional Dynamic Profiling to Precision Therapy Blueprint Construction.Biomolecules · 2025Review
- Spatial transcriptomics reveals regionally altered gene expression that drives retinal degeneration.Communications biology · 2025Article
- Micropapillary structure: A natural tumor collective invasion model with enhanced stem-like properties.Cancer science · 2025Review
- Metabolic shifts in lipid utilization and reciprocal interactions within the lung metastatic niche of triple-negative breast cancer revealed by spatial multi-omics.Cell death & disease · 2024Article
- Granzyme KNature communications · 2024Article
- Article
- An overview of invasive micropapillary carcinoma of the breast: past, present, and future.Frontiers in oncology · 2024Review
- Spatial transcriptomics in breast cancer: providing insight into tumor heterogeneity and promoting individualized therapy.Frontiers in immunology · 2024Review
- Spatial transcriptomics: a new frontier in accurate localization of breast cancer diagnosis and treatment.Frontiers in immunology · 2024Review
- Spatially Resolved Transcriptomics Technology Facilitates Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- Nondestructive 3D Pathology with Light-Sheet Fluorescence Microscopy for Translational Research and Clinical Assays.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023Review
- PRMT3 regulates the progression of invasive micropapillary carcinoma of the breast.Cancer science · 2023Article
- Improvements and challenges of tissue preparation for spatial transcriptome analysis of skull base tumors.Heliyon · 2023Article
- Spatial RNA sequencing methods show high resolution of single cell in cancer metastasis and the formation of tumor microenvironment.Bioscience reports · 2023Review
- SPASCER: spatial transcriptomics annotation at single-cell resolution.Nucleic acids research · 2023Article
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Invasive micropapillary carcinoma (IMPC) is a special histological subtype of breast cancer, featured with extremely high rates of lymphovascular invasion and lymph node metastasis. Based on a previous series of studies, our team proposed the hypothesis of "clustered metastasis of IMPC tumor cells". However, the transcriptomics characteristics underlying its metastasis are unknown, especially in spatial transcriptomics (ST). In this paper, we perform ST sequencing on four freshly frozen IMPC samples. We draw the transcriptomic maps of IMPC for the first time and reveal its extensive heterogeneity, associated with metabolic reprogramming. We also find that IMPC subpopulations with abnormal metabolism are arranged in different spatial areas, and higher levels of lipid metabolism are observed in all IMPC hierarchical clusters. Moreover, we find that the stromal regions show varieties of gene expression programs, and this difference depends on their distance from IMPC regions. Furthermore, a total of seven IMPC hierarchical clusters of four samples share a common higher expression level of the SREBF1 gene. Immunohistochemistry results further show that high SREBF1 protein expression is associated with lymph node metastasis and poor survival in IMPC patients. Together, these findings provide a valuable resource for exploring the inter- and intra-tumoral heterogeneity of IMPC and identify a new marker, SREBF1, which may facilitate accurate diagnosis and treatment of this disease.
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