ArticleThe Journal of membrane biology2015
Mathematical Models Describing Chinese Hamster Ovary Cell Death Due to Electroporation In Vitro.
Article in The Journal of membrane biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed, 43 citations in OpenAlex.
- Complexity and Perplexity of Pulsed Field Ablation: An Engineering Perspective.Arrhythmia & electrophysiology review · 2025Review
- Determination of lethal electric field threshold for pulsed field ablation inFrontiers in cardiovascular medicine · 2023Article
- Optimization of Transpedicular Electrode Insertion for Electroporation-Based Treatments of Vertebral Tumors.Cancers · 2022Article
- Survival model database of human digestive system cells exposed to electroporation pulses: AnFrontiers in public health · 2022Article
- Peri-tumoral Metallic Implants Reduce the Efficacy of Irreversible Electroporation for the Ablation of Colorectal Liver Metastases.Cardiovascular and interventional radiology · 2020Article
- Recent Advances in Electrochemotherapy.Bioelectricity · 2019Review
- The use of high-frequency short bipolar pulses in cisplatin electrochemotherapy in vitro.Radiology and oncology · 2019Article
- Article
- Predicting irreversible electroporation-induced tissue damage by means of magnetic resonance electrical impedance tomography.Scientific reports · 2017Article
- A statistical model describing combined irreversible electroporation and electroporation-induced blood-brain barrier disruption.Radiology and oncology · 2016Article
- Electroporation of Brain Endothelial Cells on Chip toward Permeabilizing the Blood-Brain Barrier.Biophysical journal · 2016Article
- Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroporation is a phenomenon used in the treatment of tumors by electrochemotherapy, non-thermal ablation with irreversible electroporation, and gene therapy. When treating patients, either predefined or variable electrode geometry is used. Optimal pulse parameters are predetermined for predefined electrode geometry, while they must be calculated for each specific case for variable electrode geometry. The position and number of electrodes are also determined for each patient. It is currently assumed that above a certain experimentally determined value of electric field, all cells are permeabilized/destroyed and under it they are unaffected. In this paper, mathematical models of survival in which the probability of cell death is continuously distributed from 0 to 100 % are proposed and evaluated. Experiments were performed on cell suspensions using electrical parameters similar to standard electrochemotherapy and irreversible electroporation parameters. The proportion of surviving cells was determined using clonogenic assay for assessing the ability of a cell to grow into a colony. Various mathematical models (first-order kinetics, Hülsheger, Peleg-Fermi, Weibull, logistic, adapted Gompertz, Geeraerd) were fitted to experimental data using a non-linear least-squares method. The fit was evaluated by calculating goodness of fit and by observing the trend of values of models' parameters. The most appropriate models of cell survival as a function of treatment time were the adapted Gompertz and the Geeraerd models and, as a function of the electric field, the logistic, adapted Gompertz and Peleg-Fermi models. The next steps to be performed are validation of the most appropriate models on tissues and determination of the models' predictive power.
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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.