ReviewFrontiers in oncology2020
Unraveling the Complexity of the Cancer Microenvironment With Multidimensional Genomic and Cytometric Technologies.
Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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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.
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Who cites it
29 citing papers in PubMed.
- Identifying clinically relevant cell state interactions in the tumor microenvironment of IDH-mutant gliomas using CSI-TME.Molecular systems biology · 2026Article
- Genetic barcoding uncovers the clonal makeup of solid and liquid biopsies and their ability to capture intra-tumoral heterogeneity.Molecular systems biology · 2026Article
- Spatial microenvironments tune immune response dynamics in the Drosophila larval fat body.PLoS genetics · 2026Article
- Therapy-induced mRNA, rRNA and tRNA methylation alterations confer tolerance phenotype in tumor cells: mechanism and implications.International journal of biological sciences · 2026Review
- Spatial microenvironments tune immune response dynamics in thebioRxiv : the preprint server for biology · 2025Article
- Development of a prognostic model for patients with extensive-stage small cell lung cancer undergoing immunotherapy and chemotherapy.Frontiers in immunology · 2025Article
- PENGUIN: A rapid and efficient image preprocessing tool for multiplexed spatial proteomics.Computational and structural biotechnology journal · 2024Article
- Phenotype remodelling of HNSCC cells in the muscle invasion environment.Journal of translational medicine · 2024Article
- Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment.Nature reviews. Cancer · 2024Review
- Multiplex protein imaging in tumour biology.Nature reviews. Cancer · 2024Review
- Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response.Nature communications · 2023Article
- Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux.Nature communications · 2023Article
- Article
- The promise and challenge of spatial omics in dissecting tumour microenvironment and the role of AI.Frontiers in oncology · 2023Review
- Advances in mass cytometry and its applicability to digital pathology in clinical-translational cancer research.Advances in laboratory medicine · 2022Review
- Breast cancer immune microenvironment: from pre-clinical models to clinical therapies.Breast cancer research and treatment · 2022Review
- LLT1-CD161 Interaction in Cancer: Promises and Challenges.Frontiers in immunology · 2022Review
- Localized light chain amyloidosis: A self-limited plasmacytic B-cell lymphoproliferative disorder.Frontiers in oncology · 2022Review
- Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas.Cancers · 2021Review
- Multiplexed live-cell profiling with Raman probes.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancers are characterized by extensive heterogeneity that occurs intratumorally, between lesions, and across patients. To study cancer as a complex biological system, multidimensional analyses of the tumor microenvironment are paramount. Single-cell technologies such as flow cytometry, mass cytometry, or single-cell RNA-sequencing have revolutionized our ability to characterize individual cells in great detail and, with that, shed light on the complexity of cancer microenvironments. However, a key limitation of these single-cell technologies is the lack of information on spatial context and multicellular interactions. Investigating spatial contexts of cells requires the incorporation of tissue-based techniques such as multiparameter immunofluorescence, imaging mass cytometry, or
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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.