The therapeutic effects of tumor treating fields on cancer and noncancerous cells

Mahgoub, Elham O; Hussain, Arif; Sharifi, Majid; Falahati, Mojtaba; Marei, Hany E.; Hasan, Anwarul

doi:10.1016/j.arabjc.2021.103386

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…Giladi et al stated an optimal effective TTFields frequency of 150 kHz [ 9 ], which was subsequently reported in Ref. [ 52 ]. On the other hand, in the experiments by Li et al, who studied a range of TTFields frequencies from 100–1000 kHz, the inhibition ratio of HeLa cell growth decreased as the frequency was increased, with the maximal growth inhibition observed for 100 kHz TTFields [ 53 ].…”

Section: Discussionmentioning

confidence: 99%

Real-Time Monitoring of the Effect of Tumour-Treating Fields on Cell Division Using Live-Cell Imaging

Staelens

Lazzari

et al. 2022

Cells

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The effects of electric fields (EFs) on various cell types have been thoroughly studied, and exhibit a well-known regulatory effect on cell processes, implicating their usage in several medical applications. While the specific effect exerted on cells is highly parameter-dependent, the majority of past research has focused primarily on low-frequency alternating fields (<1 kHz) and high-frequency fields (in the order of MHz). However, in recent years, low-intensity (1–3 V/cm) alternating EFs with intermediate frequencies (100–500 kHz) have been of topical interest as clinical treatments for cancerous tumours through their disruption of cell division and the mitotic spindle, which can lead to cell death. These aptly named tumour-treating fields (TTFields) have been approved by the FDA as a treatment modality for several cancers, such as malignant pleural mesothelioma and glioblastoma multiforme, demonstrating remarkable efficacy and a high safety profile. In this work, we report the results of in vitro experiments with HeLa and MCF-10A cells exposed to TTFields for 18 h, imaged in real time using live-cell imaging. Both studied cell lines were exposed to 100 kHz TTFields with a 1-1 duty cycle, which resulted in significant mitotic and cytokinetic arrest. In the experiments with HeLa cells, the effects of the TTFields’ frequency (100 kHz vs. 200 kHz) and duty cycle (1-1 vs. 1-0) were also investigated. Notably, the anti-mitotic effect was stronger in the HeLa cells treated with 100 kHz TTFields. Additionally, it was found that single and two-directional TTFields (oriented orthogonally) exhibit a similar inhibitory effect on HeLa cell division. These results provide real-time evidence of the profound ability of TTFields to hinder the process of cell division by significantly delaying both the mitosis and cytokinesis phases of the cell cycle.

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Section: Discussionmentioning

confidence: 99%

Real-Time Monitoring of the Effect of Tumour-Treating Fields on Cell Division Using Live-Cell Imaging

Staelens

Lazzari

et al. 2022

Cells

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“…This bio-molecular makes exosomes useful for drug delivery and molecular diagnosis [20]. Even though the exosomes repeated isolation methods lead to a reduction in yield and concentration [21], [19], and [22]. The Extracellular vesicles were compared using statistical analysis to reduce the errors of repeated ultracentrifugation steps that signi cantly impact the purity and solubility, as shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Characterization of Exosomes Isolated from Non-Small Lung Cancer Cell (NC1975) using Improved Morphological and Surface Protein Biomarkers methods

Mahgoub

Abdella

2022

Preprint

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Lung cancer is considered one of the leading causes of death worldwide. Usually, disease detection is difficult in the early stages; new methods for diagnosis using non-invasive ways are developed using Nano-molecules called exosomes. Exosomes are cell-derived vesicles carrying different molecules (proteins, DNA, RNA, microRNA) and displaying many proteins on their membrane surfaces. In this study, NCI 1975 Cells line has been used as a source of exosomes. First, the isolation processes were carried out using different ultra-centrifugation devices. Then isolated exosomes were characterized using surface protein biomarkers. Finally, the Exosome isolated products were screened under Transmission Electron Microscopy (TEM) and compared with Scanning Electron Microscopy (SEM). The results showed that the size distributions of apoptotic vesicles (APV) 450nm and necrotic bodies (NCB) 280 nm (extracellular vesicles )were significantly different from exosomes(P < 0.001). This study confirmed the accessible use of exosomes in the diagnosis and prognosis of Non-Small Cell Lung Cancer (NSCLC).

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Optimizing tumor treating fields for blood cancer therapy: Analysis of electric field distribution and dose density

Nasori,

Firdhaus,

Farahdina

et al. 2024

BIOPHYSICS

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The therapeutic effects of tumor treating fields on cancer and noncancerous cells

Cited by 3 publications

References 41 publications

Real-Time Monitoring of the Effect of Tumour-Treating Fields on Cell Division Using Live-Cell Imaging

Real-Time Monitoring of the Effect of Tumour-Treating Fields on Cell Division Using Live-Cell Imaging

Characterization of Exosomes Isolated from Non-Small Lung Cancer Cell (NC1975) using Improved Morphological and Surface Protein Biomarkers methods

Optimizing tumor treating fields for blood cancer therapy: Analysis of electric field distribution and dose density

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