ReviewSeminars in cancer biology2022
Breast cancer heterogeneity through the lens of single-cell analysis and spatial pathologies.
Review in Seminars in cancer biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Spatial habitat radiomics predicts tertiary lymphoid structure status and identifies an IDO1Journal for immunotherapy of cancer · 2026Article
- Time-Dependent Multimechanistic Antitumor Effects of Olive Oil Phenolics in a Triple-Negative Breast Cancer Mouse Model.Nutrients · 2026Article
- MicroRNAs in Breast Cancer: Biological Functions and Technologies for Experimental and Therapeutic Applications.Cancers · 2026Review
- Single-Cell Analysis Reveals STARD10 as a Fatty Acid Metabolism Regulator of Breast Cancer Progression via the PI3K/Akt Pathway.International journal of molecular sciences · 2026Article
- Spatial immune atlas of breast cancer brain metastasis reveals CD163Journal for immunotherapy of cancer · 2026Article
- Comprehensive single-cell analysis reveals cellular heterogeneity and immune interactions in colorectal cancer.Translational oncology · 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
- Single-cell analysis reveals that MXRA8 affected the progression of breast cancer via regulating ferroptosis.Cancer cell international · 2026Article
- Emerging clinical applications of exosomes in breast cancer management from biomarkers to therapeutics.Discover oncology · 2026Review
- Integrative multi-omics and radiomics reveal a TMSB10-driven cell state for non-invasive assessment and precision stratification in breast cancer.Frontiers in immunology · 2026Article
- Machine learning-based identification of kbhb-affected tumor cell subsets as prognostic and therapeutic targets in breast cancer.Journal of translational medicine · 2025Article
- Deep learning-based fusion of nuclear segmentation features for microsatellite instability and tumor mutational burden prediction in digestive tract cancers: a multicenter validation study.Briefings in bioinformatics · 2025Article
- Tumor microenvironment response to neoadjuvant therapy in breast cancer: insights from single-cell and spatial omics.Medical oncology (Northwood, London, England) · 2025Review
- GATA3 promotes ferroptosis resistance by repressing integrin β1 signaling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Expression Profile ofInternational journal of molecular sciences · 2025Article
- The Identification of Novel Prognostic and Predictive Biomarkers in Breast Cancer via the Elucidation of Tumor Ecotypes Using Ecotyper.Cancer innovation · 2025Article
- Development and validation of an MRI spatiotemporal interaction model for early noninvasive prediction of neoadjuvant chemotherapy response in breast cancer: a multicentre study.EClinicalMedicine · 2025Article
- Investigation of TMEM41A's function in breast cancer prognosis and its connection to immune cell infiltration.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Deep Learning Predicts Subtype Heterogeneity and Outcomes in Luminal A Breast Cancer Using Routinely Stained Whole-Slide Images.Cancer research communications · 2025Article
- Non-genetic heterogeneity and immune subtyping in breast cancer: Implications for immunotherapy and targeted therapeutics.Translational oncology · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Breast cancer ecosystems are composed of complex cell types, including tumor, stromal and immune cells, each of which can assume diverse phenotypes. Both the heterogeneous composition and spatially distinct tumor microenvironment impact breast cancer progression, treatment response and therapeutic resistance. Thus, a deeper understanding of breast cancer heterogeneity may help facilitate the development of novel therapies and improve outcomes for patients. The advent of paradigm shifting single-cell analysis and spatial pathologies allows for a comprehensive analysis of the tumor ecosystem as well as the interactions between its components at unprecedented resolution. In this review, we discuss the insights gained through single-cell analysis and spatial pathologies on breast cancer heterogeneity.
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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.