ArticleCancer research2023
Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer.
Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
What it found
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Who cites it
74 citing papers in PubMed, 93 citations in OpenAlex.
- Article
- Uncovering pan-cancer signatures of chemoresistance.Genome medicine · 2026Article
- ICAM1high Neutrophils Sculpt Tumor Evolution and Metastasis Through Symbiotic Adhesion and Reverse Migration.Cancer research · 2026Article
- Disruption of hippocampal upstream regulators of mTOR and insulin pathways in Down syndrome with Alzheimer's disease neuropathology: Preliminary observations.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Spatial organization of the TNBC tumor microenvironment: multicellular niches, T-cell bottlenecks, and therapeutic opportunities.Journal of translational medicine · 2026Review
- Review
- Integrated single-cell and spatial transcriptomic profiling in ALS uncovers peripheral-to-central immune infiltration and reprogramming.Nature neuroscience · 2026Article
- Review
- Integrative single-cell and spatial transcriptomics with machine learning identify a Luminal-inflam malignant program and reveal an RPN1-PERK UPR vulnerability in triple-negative breast cancer.Scientific reports · 2026Article
- Article
- State-Aware RNA Biomarkers in Triple-Negative Breast Cancer (TNBC): Integrating Tumor Plasticity, Spatial Architecture, and Temporal Monitoring.International journal of molecular sciences · 2026Review
- Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment.Cell reports. Medicine · 2026Article
- Spatial transcriptomics defines IM-crypt as a premalignant niche with bidirectional divergence in early gastric carcinogenesis.Communications biology · 2026Article
- Integrated Single-Cell Whole-Genome Sequencing and Spatial Transcriptomics Reveal Intratumoral Heterogeneity in Ovarian Cancer.Cancer research communications · 2026Article
- TNBC Spatial Transcriptomic Analysis across Clinical States Reveals Subtype-Specific Networks and Immunosuppressive Niches.Cancer research communications · 2026Article
- From State, Pathway, to Niche: The Ternary Network of Breast Cancer Stem-like Cells Driving Tumor Progression and Combination Therapy Prospects.Biomolecules · 2026Review
- Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.Discover oncology · 2026Article
- The landscape of B and plasma cells in breast cancer: insights from single-cell and spatial transcriptomics.NPJ breast cancer · 2026Article
- An antibody-drug conjugate designed through clone and isotype selection restricts the growth of CSPG4-expressing triple-negative breast cancer.NPJ precision oncology · 2026Article
- Breast cancer inequities: the intersectional role of social epidemiology and tumor biology.Cancer causes & control : CCC · 2026Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Triple-negative breast cancer (TNBC) is an aggressive disease that disproportionately affects African American (AA) women. Limited targeted therapeutic options exist for patients with TNBC. Here, we employ spatial transcriptomics to interrogate tissue from a racially diverse TNBC cohort to comprehensively annotate the transcriptional states of spatially resolved cellular populations. A total of 38,706 spatial features from a cohort of 28 sections from 14 patients were analyzed. Intratumoral analysis of spatial features from individual sections revealed heterogeneous transcriptional substructures. However, integrated analysis of all samples resulted in nine transcriptionally distinct clusters that mapped across all individual sections. Furthermore, novel use of join count analysis demonstrated nonrandom directional spatial dependencies of the transcriptionally defined shared clusters, supporting a conserved spatio-transcriptional architecture in TNBC. These findings were substantiated in an independent validation cohort comprising 17,861 spatial features representing 15 samples from 8 patients. Stratification of samples by race revealed race-associated differences in hypoxic tumor content and regions of immune-rich infiltrate. Overall, this study combined spatial and functional molecular analyses to define the tumor architecture of TNBC, with potential implications in understanding TNBC disparities. SIGNIFICANCE: Spatial transcriptomics profiling of a diverse cohort of triple-negative breast cancers and innovative informatics approaches reveal a conserved cellular architecture across cancers and identify proportional differences in tumor cell composition by race.
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Registered trials
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.