Mitotic disruption and reduced clonogenicity of pancreatic cancer cells in vitro and in vivo by tumor treating fields
Abstract
Objectives Tumor Treating Fields (TTFields) are a non-invasive cancer treatment modality approved for the treatment of patients with recurrent glioblastoma. The present study determined the efficacy and mechanism of action of TTFields in preclinical models of pancreatic cancer.Methods The effect of TTFields in vitro was assessed using cell counts, clonogenic assays, cell cycle analysis and analysis of mitotic figures. The effect in vivo effect was studied in the PC1-0 hamster pancreatic cancer model.Results Application of TTFields in vitro showed a significant decrease in cell count, an increase in cell volume and reduced clonogenicity. Further analysis demonstrated significant increase in the number of abnormal mitotic figures, as well as a decrease in G2-M cell population. In hamsters with orthotopic pancreatic tumors, TTFields significantly reduced tumor volume accompanied by an increase in the frequency of abnormal mitotic events. TTFields efficacy was enhanced both in vitro and in vivo when combined with chemotherapy.Conclusions These results provide the first evidence that TTFields serve as an effective antimitotic treatment in preclinical pancreatic cancer models and have a long term negative effect on cancer cell survival. These results make TTFields an attractive candidate for testing in the treatment of patients with pancreatic cancer.
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Animal models of various tumors, including glioblastoma, non-small cell lung cancer, pancreatic cancer, and malignant melanoma, confirmed inhibition of tumor growth or metastatic seeding when externally applied TTFields were delivered at appropriate frequencies.
“Animal models of various tumors, including glioblastoma (GBM), non–small cell lung cancer, pancreatic cancer, and malignant melanoma confirmed the inhibition of tumor growth or metastatic seeding when externally applied TTFields were delivered at the appropriate frequencies.11”
From Tumor treating fields: A novel treatment modality and its use in brain tumors (2016) · cites this paper as [11]
Cell volume is increased in almost all cell lines treated with TTFields.
“cell volume is increased in almost all cell lines treated with TTFields [45].”
From An Overview of Sub-Cellular Mechanisms Involved in the Action of TTFields (2016) · cites this paper as [45]
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- Authors
- Giladi, M., Schneiderman, R. S., Porat, Y., Munster, M., Itzhaki, A., Mordechovich, D., Cahal, S., Kirson, E. D., Weinberg, U., & Palti, Y.
- Corresponding author
- Palti, Yoram
- Venue
- Pancreatology
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 14
- Issue
- 1
- Pages
- 54-63
- ISSN
- 1424-3903 (ISSN-L)
- OpenAlex
- W2087597921
- Semantic Scholar
- f020ec08e45a54d2bc15c94ea14c16f73709e75e
- Cited by
- 98
- References
- 31
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 7 · 2023: 12 · 2022: 10 · 2021: 10 · 2020: 6 · 2019: 10 · 2018: 4 · 2017: 7 · 2016: 8 · 2015: 3 · 2014: 1
- FWCI
- 2.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pancreatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
- Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
- Keywords
- tumor treating fields, pancreatic cancer, clonogenicity, antimitotic effect, G2/M cell cycle arrest, combination chemotherapy, tumor shrinkage
- MeSH terms
- Gemcitabine, Animals, Combined Modality Therapy, Deoxycytidine, Electricity, Cricetinae, Humans, Male, Mesocricetus, Mitosis, Pancreatic Neoplasms, Tumor Stem Cell Assay, Treatment Outcome, Cell Line, Tumor, Cell Size
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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