ArticleInternational journal of molecular sciences2020
Rapid Clearing for High Resolution 3D Imaging of Ex Vivo Pancreatic Cancer Spheroids.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Interruption of cross-communication pathways alters the immune cell signature of pancreatic cancer and decreases tumor growth.Cell communication and signaling : CCS · 2026Article
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- A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma.Diseases (Basel, Switzerland) · 2024Article
- Particle uptake in cancer cells can predict malignancy and drug resistance using machine learning.Science advances · 2024Article
- Analyzing force measurements of multi-cellular clusters comprising indeterminate geometries.Biomechanics and modeling in mechanobiology · 2024Article
- Optical Coherence Tomography of Tumor Spheroids Identifies Candidates for Drug Repurposing in Ovarian Cancer.IEEE transactions on bio-medical engineering · 2023Article
- On-chip clearing for live imaging of 3D cell cultures.Biomedical optics express · 2023Article
- Gene Electrotransfer Efficiency in 2D and 3D Cancer Cell Models Using Different Electroporation Protocols: A Comparative Study.Pharmaceutics · 2023Article
- Scaffold-based three-dimensional cell model of pancreatic cancer is more suitable than scaffold-free three-dimensional cell model of pancreatic cancer for drug discovery.Cytotechnology · 2022Article
- Gastric cancer multicellular spheroid analysis by two-photon microscopy.Biomedical optics express · 2022Article
- Perspective: Extending the Utility of Three-Dimensional Organoids by Tissue Clearing Technologies.Frontiers in cell and developmental biology · 2021Article
- Three-Dimensional (3D) Culture Models in Cancer Investigation, Drug Testing and Immune Response Evaluation.International journal of molecular sciences · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
The currently accepted imaging methods have been a central hurdle to imaging the finer details of tumor behavior in three-dimensional (3D) ex vivo multicellular culture models. In our search for an improved way of imaging tumor behavior in its physiological-like niche, we developed a simple, efficient, and straightforward procedure using standard reagents and imaging equipment that significantly enhanced 3D imaging up to a ~200-micron depth. We tested its efficacy on pancreatic spheroids, prototypes of high-density tissues that are difficult to image. We found we could both save time with this method and extract information about pancreatic tumor spheroids that previously was difficult to obtain. We were able to discern clear differences in the organization of pancreatic tumor spheroids generated from different origins, suggesting cell-specific, inherent, bottom-up organization with a correlation to the level of malignancy. We also examined the dynamic changes in the spheroids at predetermined time points, providing important information related to tissue morphogenesis and its metabolic state. Lastly, this process enabled us to assess a drug vehicle's potential to penetrate dense tumor tissue by improving our view of the inert particles' diffusion in the 3D spheroid. This clearing method, a simple procedure, can open the door to more accurate imaging and reveal more about cancer behavior.
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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.