ReviewNPJ precision oncology2020
Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics.
Review in NPJ precision oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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
52 citing papers in PubMed.
- Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.The FEBS journal · 2026Article
- Combined targeted and epigenetic-based therapy enhances antitumor immunity by stabilizing GATA6-dependent MHCI expression in pancreatic ductal adenocarcinoma.Nature communications · 2026Article
- Tumor-on-chip's alliance with molecular pathology against metastatic disease.Journal of biomedical science · 2026Review
- Tumor heterogeneity as a driver of drug resistance and its implications for personalized therapy.Cancer drug resistance (Alhambra, Calif.) · 2026Review
- The central role of EMT in tumor progression: mechanistic drivers, biomarker discovery, and therapeutic horizons.Frontiers in pharmacology · 2026Review
- 3DCellComposer - A versatile pipeline utilizing 2D cell segmentation methods for 3D cell segmentation.Methods (San Diego, Calif.) · 2025Article
- Genomic data sharing in research across Europe: legal challenges and upcoming opportunities within the European Health Data Space.European journal of public health · 2025Article
- Metabolic reprogramming and functional crosstalk within the tumor microenvironment (TME) and A Multi-omics anticancer approach.Medical oncology (Northwood, London, England) · 2025Review
- Challenges and Advantages of Using Spatially Resolved Lipidomics to Assess the Pathological State of Human Lung Tissue.Cancers · 2025Article
- Human immune organoids to decode B cell response in healthy donors and patients with lymphoma.Nature materials · 2025Article
- Multiplex imaging analysis of the tumor immune microenvironment for guiding precision immunotherapy.Frontiers in immunology · 2025Review
- Tumor-immune hybrid cells evade the immune response and potentiate colorectal cancer metastasis through CTLA4.Clinical and experimental medicine · 2024Article
- Biofabrication and Monitoring of a 3D Printed Skin Model for Melanoma.Advanced healthcare materials · 2024Article
- Challenges in validation of combination treatment strategies for CRC using patient-derived organoids.Journal of experimental & clinical cancer research : CR · 2024Review
- Spatial immunophenotyping using multiplexed imaging of immune follicles in secondary lymphoid tissues.PNAS nexus · 2024Article
- Article
- Review
- Applicability of Spatial Technology in Cancer Research.Cancer research and treatment · 2024Review
- Pathobiology of Candida auris infection analyzed by multiplexed imaging and single cell analysis.PloS one · 2024Article
- Applications of Innovation Technologies for Personalized Cancer Medicine: Stem Cells and Gene-Editing Tools.ACS pharmacology & translational science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about disease progression and therapeutic response. The complexity of these hierarchical microenvironments needs to be elucidated. Although tumors comprise ample cell types, the standard clinical technique is still the histology that is limited to a single marker. Multiplexed imaging technologies open new directions in pathology. Spatially resolved proteomic, genomic, and metabolic profiles of human cancers are now possible at the single-cell level. This perspective discusses spatial bioimaging methods to decipher the cascade of microenvironments in solid and liquid biopsies. A unique synthesis of top-down and bottom-up analysis methods is presented. Spatial multi-omics profiles can be tailored to precision oncology through artificial intelligence. Data-driven patient profiling enables personalized medicine and beyond.
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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.