ArticleCell reports methods2022
Assessment of spatial transcriptomics for oncology discovery.
Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Spatially organized regulated cell death-immune coupling in solid tumors: integrating spatial omics with actionable regulated cell death biology.Molecular cancer · 2026Review
- Myofibroblastic CAF and Malignant Ductal Cell Crosstalk Drives Epithelial-Mesenchymal Transition and Progression in Pancreatic Ductal Adenocarcinoma via THBS2-SDC/Integrin Axes.International journal of molecular sciences · 2026Article
- Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment.Cell reports. Medicine · 2026Article
- Epigenetic orchestration of cancer-immune dynamics: mechanisms, technologies, and clinical advancements.Journal of advanced research · 2026Review
- STEER: decoupling kinetics with Spatial-Temporal Explainable Expert model for RNA velocity inference.National science review · 2026Article
- Spatially resolved T cell receptor diversity mapping uncovers variability of the cancer immune microenvironment.EBioMedicine · 2026Article
- Multifocal cohort analysis unveils cell types associated with regional lymph node seeding in prostate cancer.Genome medicine · 2026Article
- AI-driven radiogenomics in gynecologic oncology: from radiological digital biopsy to a new paradigm in precision therapy.Frontiers in oncology · 2026Review
- Single-Cell Spatial Transcriptomic of Sjögren's Disease Salivary Glands.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A deep learning-based multiscale integration of spatial omics with tumor morphology.Nature communications · 2025Article
- Decoding the Tumor Microenvironment: Insights and New Targets from Single-Cell Sequencing and Spatial Transcriptomics.Current issues in molecular biology · 2025Review
- Applications of Spatial Transcriptomics in Veterinary Medicine: A Scoping Review of Research, Diagnostics, and Treatment Strategies.International journal of molecular sciences · 2025Article
- PLXDC1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- STMiner: Gene-centric spatial transcriptomics for deciphering tumor tissues.Cell genomics · 2025Article
- Spatial genomics reveals cholesterol metabolism as a key factor in colorectal cancer immunotherapy resistance.Frontiers in oncology · 2025Article
- Prognostic and immunotherapeutic potential of disulfidptosis-associated signature in pancreatic cancer.Frontiers in immunology · 2025Article
- STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics.Advances in neural information processing systems · 2024Article
- Tumor-immune hybrid cells evade the immune response and potentiate colorectal cancer metastasis through CTLA4.Clinical and experimental medicine · 2024Article
- Recovering single-cell expression profiles from spatial transcriptomics with scResolve.Cell reports methods · 2024Article
- Targeting the peripheral neural-tumour microenvironment for cancer therapy.Nature reviews. Drug discovery · 2024Review
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor heterogeneity is a major challenge for oncology drug discovery and development. Understanding of the spatial tumor landscape is key to identifying new targets and impactful model systems. Here, we test the utility of spatial transcriptomics (ST) for oncology discovery by profiling 40 tissue sections and 80,024 capture spots across a diverse set of tissue types, sample formats, and RNA capture chemistries. We verify the accuracy and fidelity of ST by leveraging matched pathology analysis, which provides a ground truth for tissue section composition. We then use spatial data to demonstrate the capture of key tumor depth features, identifying hypoxia, necrosis, vasculature, and extracellular matrix variation. We also leverage spatial context to identify relative cell-type locations showing the anti-correlation of tumor and immune cells in syngeneic cancer models. Lastly, we demonstrate target identification approaches in clinical pancreatic adenocarcinoma samples, highlighting tumor intrinsic biomarkers and paracrine signaling.
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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.