ArticleJournal of Cancer2019
Regional biomechanical imaging of liver cancer cells.
Article in Journal of Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Multiscale measurement of brain tissue and cell biomechanics using a mouse model.Biophysics reports · 2025Article
- Nanomechanical characterization of soft nanomaterial using atomic force microscopy.Materials today. Bio · 2025Review
- Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis.Computational and structural biotechnology journal · 2024Review
- Nanomechanical Characterization of Ovarian Cancer Cell Lines as a Marker of Response to 2c Treatment.International journal of molecular sciences · 2023Article
- Biophysical changes caused by altered MUC13 expression in pancreatic cancer cells.Micron (Oxford, England : 1993) · 2020Article
- Immune checkpoint targeting TIGIT in hepatocellular carcinoma.American journal of translational research · 2020Review
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Authors and funding
14 authors.
Funding
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Abstract
Liver cancer is one of the leading cancers, especially in developing countries. Understanding the biomechanical properties of the liver cancer cells can not only help to elucidate the mechanisms behind the cancer progression, but also provide important information for diagnosis and treatment. At the cellular level, we used well-established atomic force microscopy (AFM) techniques to characterize the heterogeneity of mechanical properties of two different types of human liver cancer cells and a normal liver cell line. Stiffness maps with a resolution of 128x128 were acquired for each cell. The distributions of the indentation moduli of the cells showed significant differences between cancerous cells and healthy controls. Significantly, the variability was even greater amongst different types of cancerous cells. Fitting of the histogram of the effective moduli using a normal distribution function showed the Bel7402 cells were stiffer than the normal cells while HepG2 cells were softer. Morphological analysis of the cell structures also showed a higher cytoskeleton content among the cancerous cells. Results provided a foundation for applying knowledge of cell stiffness heterogeneity to search for tissue-level, early-stage indicators of liver cancer.
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