NDLI: Non-ionizing radiation with nanosecond pulsed electric fields as a cancer treatment: in vitro studies

Content Provider	IEEE Xplore Digital Library
Author	Beebe, S.J. Ford, W.E. Wei Ren Xinhua Chen Schoenbach, K.H.
Copyright Year	2009
Description	Author affiliation: Eastern Virginia Medical School (Beebe, S.J.) \|\| Old Dominion University (Ford, W.E.) \|\| Frank Reidy Research Center for Bioelectrics at Old Dominion University (Wei Ren; Xinhua Chen; Schoenbach, K.H.)
Abstract	Cancer continues to be a major risk to the health and well being among populations around the world. A new method using ion-ionizing radiation with nanosecond pulsed electric fields (nsPEFs) provides a novel means to treat cancer at local sites. NsPEFs promote cell death in several cell types and here we investigated mechanisms for cell death induction. In murine B16f10 melanoma, murine E4 squamous carcinoma, murine Hep1-6 and human HepG2 hepatocellular carcinoma, nsPEFs induced cell death in 90-95% of cells. Cell death coincides with decreases in the mitochondria membrane potential, increases in YO-PRO-1 uptake and active caspases in the presence or absence of cytochrome c release. The results indicate that nsPEFs induced cell death by multiple apoptosis mechanisms that involve mitochondrial responses, but not necessarily through cytochrome c release. Further, these in vitro studies suggest a potential to induce cell death that bypasses cancer mechanisms that evade apoptosis.
Starting Page	6509
Ending Page	6512
File Size	469566
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cancer In vitro Bioelectric phenomena Biomembranes Medical treatment Neoplasms Nanoporous materials Nanobioscience Humans Electric potential
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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