論文

査読有り
2016年4月

Tumor-selective mitochondrial network collapse induced by atmospheric gas plasma-activated medium

ONCOTARGET
  • Kosuke Saito
  • ,
  • Tomohiko Asai
  • ,
  • Kyoko Fujiwara
  • ,
  • Junki Sahara
  • ,
  • Haruhisa Koguchi
  • ,
  • Noboru Fukuda
  • ,
  • Miki Suzuki-Karasaki
  • ,
  • Masayoshi Soma
  • ,
  • Yoshihiro Suzuki-Karasaki

7
15
開始ページ
19910
終了ページ
19927
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
IMPACT JOURNALS LLC

Non-thermal atmospheric gas plasma (AGP) exhibits cytotoxicity against malignant cells with minimal cytotoxicity toward normal cells. However, the mechanisms of its tumor-selective cytotoxicity remain unclear. Here we report that AGP-activated medium increases caspase-independent cell death and mitochondrial network collapse in a panel of human cancer cells, but not in non-transformed cells. AGP irradiation stimulated reactive oxygen species (ROS) generation in AGP-activated medium, and in turn the resulting stable ROS, most likely hydrogen peroxide (H2O2), activated intracellular ROS generation and mitochondrial ROS (mROS) accumulation. Culture in AGP-activated medium resulted in cell death and excessive mitochondrial fragmentation and clustering, and these responses were inhibited by ROS scavengers. AGP-activated medium also increased dynamin-related protein 1-dependent mitochondrial fission in a tumor-specific manner, and H2O2 administration showed similar effects. Moreover, the vulnerability of tumor cells to mitochondrial network collapse appeared to result from their higher sensitivity to mROS accumulation induced by AGP-activated medium or H2O2. The present findings expand our previous observations on death receptor-mediated tumor-selective cell killing and reinforce the importance of mitochondrial network remodeling as a powerful target for tumor-selective cancer treatment.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000375804000062&DestApp=WOS_CPL
ID情報
  • ISSN : 1949-2553
  • Web of Science ID : WOS:000375804000062

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