ArticleBJC reports2025
Cytoskeleton imaging of colorectal and lung cancer spheroids using light sheet microscopy.
Article in BJC reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Ultrasound-Enhanced Chemical Tissue Clearing of Large Specimens for 3D Microscopy: A Rapid and Accessible Method Using Standard Laboratory Equipment.Methods and protocols · 2026Article
- Machine learning-supported identification of necrosis in colorectal and pancreatic cancer spheroids.PloS one · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundThree dimensional tumoral models are essential to study cancer biology as they better mimic the complexity of the tumoral masses in vivo. However, to study cancer 3D models' dynamics new technological approaches are required. Most of the deaths related to cancer are caused by metastasis but still many of the metastatic driving processes remain unknown. A fundamental player in the metastatic process is the cytoskeleton. The polymerization of actin monomers in filaments, known as F-actin, is crucial for cell motility. Also, it can be used to detect necrosis, since F-actin is exposed on necrotic cells due to the loss of the cell membrane's integrity. To date, studies of actin dynamics in cancer cells have primarily relied on simplistic 2D models and fluorescence microscopy.
methodsIn this paper, we propose combining light sheet fluorescence microscopy (LSFM) with colorectal cancer (CRC) and non-small cell lung carcinoma (NSCLC) spheroids to study F-actin distribution and exposition with minimal distortions.
resultsWe identified 6 different areas of F-actin intensity that could be correlated with the proliferative, senescence and necrotic zones previously described in cancer spheroid models in vitro.
conclusionsOur findings proved the power of the proposed LS meso aspheric optics approach to visualize and quantify F-actin in 3D cancer models with a high level of detail. Importantly, our findings also facilitate the assessment of the necrotic area's extent, clearing the path for improved anti-metastatic treatments and more accurate patient prognosis evaluation.
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Registered trials
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