ReviewThe EMBO journal2022
3D imaging for driving cancer discovery.
Review in The EMBO journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales.eLife · 2026Article
- A Hallmark-Integrated, Agent-Based Framework for Intratumor Heterogeneity in Melanoma Evolution.Bulletin of mathematical biology · 2026Article
- From 2D cultures to 3D systems: evolving cancer models at the interface of functional precision medicine and theranostics.Theranostics · 2026Review
- CRATER tumor niches facilitate CD8Cell · 2025Article
- Silicon nitride PIC beam formers for light sheet fluorescent microscopy.Biomedical optics express · 2025Article
- First application of three-dimensional light sheet fluorescence microscopy to human testicular tumors: New perspectives in histopathology.Andrology · 2025Article
- Integrated real-time imaging of executioner caspase dynamics, apoptosis-induced proliferation, and immunogenic cell death using a stable fluorescent reporter platform.Cell death discovery · 2025Article
- Doubling multiplexed imaging capability via spatial expression pattern-guided protein pairing and computational unmixing.Communications biology · 2025Article
- From morphology to single-cell molecules: high-resolution 3D histology in biomedicine.Molecular cancer · 2025Review
- Clipping spline: interactive, dynamic 4D volume clipping and analysis based on thin plate spline.Biomedical optics express · 2025Article
- Open Chrono-Morph Viewer: visualize big bioimage time series containing heterogeneous volumes.Bioinformatics (Oxford, England) · 2024Article
- Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment.Nature reviews. Cancer · 2024Review
- Volumetric imaging of the tumor microvasculature reflects outcomes and genomic states of clear cell renal cell carcinoma.The journal of pathology. Clinical research · 2024Article
- Completing the view - histologic insights from circular AAA specimen including 3D imaging : A methodologic approach towards histologic analysis of circumferential AAA samples.Diagnostic pathology · 2023Article
- Multidimensional Imaging of Breast Cancer.Cold Spring Harbor perspectives in medicine · 2023Review
- 3D imaging for driving cancer discovery.The EMBO journal · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our understanding of the cellular composition and architecture of cancer has primarily advanced using 2D models and thin slice samples. This has granted spatial information on fundamental cancer biology and treatment response. However, tissues contain a variety of interconnected cells with different functional states and shapes, and this complex organization is impossible to capture in a single plane. Furthermore, tumours have been shown to be highly heterogenous, requiring large-scale spatial analysis to reliably profile their cellular and structural composition. Volumetric imaging permits the visualization of intact biological samples, thereby revealing the spatio-phenotypic and dynamic traits of cancer. This review focuses on new insights into cancer biology uniquely brought to light by 3D imaging and concomitant progress in cancer modelling and quantitative analysis. 3D imaging has the potential to generate broad knowledge advance from major mechanisms of tumour progression to new strategies for cancer treatment and patient diagnosis. We discuss the expected future contributions of the newest imaging trends towards these goals and the challenges faced for reaching their full application in cancer research.
Indexed as
Identifiers
What Socratic 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 Socratic graph.