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  5. Electricity‐Assisted Cancer Therapy: From Traditional Clinic Applications to Emerging Methods Integrated with Nanotechnologies

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Article
en
2022

Electricity‐Assisted Cancer Therapy: From Traditional Clinic Applications to Emerging Methods Integrated with Nanotechnologies

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0 Files

en
2022
Vol 3 (3)
Vol. 3
DOI: 10.1002/anbr.202200143

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Songjing Zhong
Shuncheng Yao
Qinyu Zhao
+4 more

Abstract

Inspired by endogenous physiological electric fields in humans, electricity has been widely used as an accessible source of physical stimulation to help treat diseases, including cancer therapy. Electricity can not only be used as a weapon to directly kill cancer cells but also be used as a “switch” to control the anticancer drug delivery systems (DDSs), enabling on‐demand drug release at the lesion sites. Recently, the antitumor electrotherapy based on the induction of tumor cell apoptosis by highly toxic reactive oxygen species (ROS) has been developed. Many studies have proved that the electrical stimulation can mobilize the body's immune system to kill tumors through different mechanisms. When the single electrical therapy is not effective for the treatment of advanced tumors, the integration with immunotherapy is considered as “life‐saving straw.” Moreover, with the growing need for convenient, personalized, and telehealth care and treatment, the emerging nanotechnologies such as self‐powered triboelectric nanogenerators (TENGs) are integrated with electrotherapy. This review comprehensively summarizes these developments from clinic applications to new emerging strategies and proposes future challenges and opportunities in this field.

How to cite this publication

Songjing Zhong, Shuncheng Yao, Qinyu Zhao, Zhuo Wang, Zhirong Liu, Linlin Li, Zhong Lin Wang (2022). Electricity‐Assisted Cancer Therapy: From Traditional Clinic Applications to Emerging Methods Integrated with Nanotechnologies. , 3(3), DOI: https://doi.org/10.1002/anbr.202200143.

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Publication Details

Type

Article

Year

2022

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/anbr.202200143

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