ReviewImmuno-oncology technology2019
A user's perspective on GeoMx
Review in Immuno-oncology technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 74 citations in OpenAlex.
- Spatial Immune Coding in Tumor-Draining Lymph Nodes: Functional Compartmentalization of Immune Activation and Immunosuppression.International journal of molecular sciences · 2026Review
- Mass spectrometry-based proteomics of FFPE tissues: progress, limitations, and clinical translation barriers.Clinical proteomics · 2025Review
- Article
- Biomarker Identification via Spatial Transcriptomics Profiling of Colorectal Cancer and Colorectal Cancer with Liver Metastasis Stem Cells.International journal of molecular sciences · 2025Article
- Mapping immune activity in HPV-negative head and neck squamous cell carcinoma: a spatial multiomics analysis.Journal for immunotherapy of cancer · 2025Article
- Spatial Transcriptomics in Lung Cancer and Pulmonary Diseases: A Comprehensive Review.Cancers · 2025Review
- Gene spatial integration: enhancing spatial transcriptomics analysis via deep learning and batch effect mitigation.Bioinformatics (Oxford, England) · 2025Article
- Spatial Transcriptomics Shows a Distinctive Tumour Microenvironment in the Invasive Versus Premalignant Portion of Early Cutaneous Squamous Cell Carcinoma.Experimental dermatology · 2025Article
- Palmitic Acid Accumulation Activates Fibroblasts and Promotes Matrix Stiffness in Colorectal Cancer.Cancer research · 2025Article
- ROICellTrack: a deep learning framework for integrating cellular imaging modalities in subcellular spatial transcriptomic profiling of tumor tissues.Bioinformatics (Oxford, England) · 2025Article
- B cells and energy metabolism in HER2-positive DCIS: insights into breast cancer progression from spatial-omics analyses.Breast cancer research : BCR · 2025Article
- Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.ACS nano · 2025Review
- Spatial Transcriptomics in Inflammatory Skin Diseases Using GeoMx Digital Spatial Profiling: A Practical Guide for Applications in Dermatology.JID innovations : skin science from molecules to population health · 2025Article
- Region of interest localization, tissue storage time, and antibody binding density-a technical note on the GeoMx® Digital Spatial Profiler.Immuno-oncology technology · 2024Review
- Digital spatial profiling identifies the tumor center as a topological niche in prostate cancer characterized by an upregulation of BAD.Scientific reports · 2024Article
- Review
- Review
- Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.Journal of clinical and translational hepatology · 2024Review
- Current state and future prospects of spatial biology in colorectal cancer.Frontiers in oncology · 2024Review
- Tumor-infiltrating lymphocytes in melanoma: from prognostic assessment to therapeutic applications.Frontiers in immunology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Characterization of spatial protein expression for multiple targets from a single tissue is difficult to perform, especially due to the limitations of multiplex immunohistochemistry and tissue heterogeneity. Therefore, a new technology is required that permits detailed and simultaneous expression profiling of proteins within a defined region of interest (ROI). To address this unmet need, NanoString Technologies developed a new technology, GeoMx
Indexed as
Identifiers
What OpenQuestion holds
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.