ReviewCancers2022
Multiplex Tissue Imaging: Spatial Revelations in the Tumor Microenvironment.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
33 citing papers in PubMed.
- Quantifying the Interplay Between PRAME Expression and Classical Morphology: A Multivariable Analysis of 954 Suspected Melanocytic Lesions.Dermatopathology (Basel, Switzerland) · 2026Article
- Autoreactive B cells in systemic lupus erythematosus: insights from integrative multi-omics analyses.Inflammation and regeneration · 2026Review
- Histopathology-centered computational evolution of spatial omics: integration, mapping, and foundation models.Briefings in bioinformatics · 2026Review
- Hyperspectral imaging system for multiplexed cancer marker detection: design and clinical evaluation.Journal of biomedical optics · 2026Article
- NOS2 and COX2 impact the spatial landscape of CD8Redox biology · 2026Review
- Nexus of IDO1/Kynurenine Pathway to T-Cell Exhaustion: Hypoxia-Induced Tryptophan Metabolism in Glioblastoma.Metabolites · 2026Review
- Deep learning-based radiomics and pathomics for decoding tumor microenvironment and predicting immunotherapy outcomes in gastric cancer.Frontiers in immunology · 2026Review
- Role of intratumoral heterogeneity in metastatic progression and drug resistance.Discover oncology · 2025Review
- A High-Throughput ImmunoHistoFluorescence (IHF) Method for Sub-Nuclear Protein Analysis in Tissue.Cells · 2025Article
- Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology.Patterns (New York, N.Y.) · 2025Article
- Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections.Human reproduction (Oxford, England) · 2025Article
- From silent partners to potential therapeutic targets: macrophages in colorectal cancer.Cancer immunology, immunotherapy : CII · 2025Review
- Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Role and value of the tumor microenvironment in the progression and treatment resistance of gastric cancer (Review).Oncology reports · 2025Review
- The tumor microenvironment across four dimensions: assessing space and time in cancer biology.Frontiers in immunology · 2025Review
- ALOA, a pipeline for preliminary analysis of spatial profiling imaging data.Computational and structural biotechnology journal · 2024Article
- Highly Multiplexed Tissue Imaging in Precision Oncology and Translational Cancer Research.Cancer discovery · 2024Review
- Spatial multimodal analysis of transcriptomes and metabolomes in tissues.Nature biotechnology · 2024Article
- DESI-MSI-guided exploration of metabolic-phenotypic relationships reveals a correlation between PI 38:3 and proliferating cells in clear cell renal cell carcinoma via single-section co-registration of multimodal imaging.Analytical and bioanalytical chemistry · 2024Article
- Multiplex Imaging for Cell Phenotyping of Early Human Atherosclerosis.Journal of the American Heart Association · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The tumor microenvironment is a complex ecosystem containing various cell types, such as immune cells, fibroblasts, and endothelial cells, which interact with the tumor cells. In recent decades, the cancer research field has gained insight into the cellular subtypes that are involved in tumor microenvironment heterogeneity. Moreover, it has become evident that cellular interactions in the tumor microenvironment can either promote or inhibit tumor development, progression, and drug resistance, depending on the context. Multiplex spatial analysis methods have recently been developed; these have offered insight into how cellular crosstalk dynamics and heterogeneity affect cancer prognoses and responses to treatment. Multiplex (imaging) technologies and computational analysis methods allow for the spatial visualization and quantification of cell-cell interactions and properties. These technological advances allow for the discovery of cellular interactions within the tumor microenvironment and provide detailed single-cell information on properties that define cellular behavior. Such analyses give insights into the prognosis and mechanisms of therapy resistance, which is still an urgent problem in the treatment of multiple types of cancer. Here, we provide an overview of multiplex imaging technologies and concepts of downstream analysis methods to investigate cell-cell interactions, how these studies have advanced cancer research, and their potential clinical implications.
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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.