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Glioblastoma behavior study under different frequency electromagnetic field.
Xiang, Xiao-Wei; Liu, Hao-Tian; Tao, Xiao-Nan; Zeng, Yu-Lian; Liu, Jing; Wang, Chen; Yu, Sai-Xi; Zhao, Hui; Liu, Yan-Jun; Liu, Ke-Fu.
Afiliação
  • Xiang XW; Academy for engineering & technology, Fudan University, Shanghai 200433, China.
  • Liu HT; Academy for engineering & technology, Fudan University, Shanghai 200433, China.
  • Tao XN; School of information science and technology, Fudan University, Shanghai 200433, China.
  • Zeng YL; Department of Anesthesiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200020, China.
  • Liu J; School of information science and technology, Fudan University, Shanghai 200433, China.
  • Wang C; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
  • Yu SX; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
  • Zhao H; School of information science and technology, Fudan University, Shanghai 200433, China.
  • Liu YJ; Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Stomatological Hospital, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
  • Liu KF; School of information science and technology, Fudan University, Shanghai 200433, China.
iScience ; 26(12): 108575, 2023 Dec 15.
Article em En | MEDLINE | ID: mdl-38125027
ABSTRACT
The tumor-treating fields (TTFields) technology has revolutionized the management of recurrent and newly diagnosed glioblastoma (GBM) cases. To ameliorate this treatment modality for GBM and other oncological conditions, it is necessary to understand the biophysical principles of TTFields better. In this study, we further analyzed the mechanism of the electromagnetic exposure with varying frequencies and electric field strengths on cells in mitosis, specifically in telophase. In reference to previous studies, an intuitive finite element model of the mitotic cell was built for electromagnetic simulations, predicting a local increase in the cleavage furrow region, which may help explain TTFields' anti-proliferative effects. Cell experiments confirmed that the reduction in proliferation and migration of glioma cell by TTFields was in a frequency- and field-strength-dependent manner. This work provides unique insights into the selection of frequencies in the anti-proliferative effect of TTFields on tumors, which could improve the application of TTFields.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article