論文

査読有り
2016年11月

Targeting Notch Signaling and Autophagy Increases Cytotoxicity in Glioblastoma Neurospheres

BRAIN PATHOLOGY
  • Manabu Natsumeda
  • ,
  • Kosuke Maitani
  • ,
  • Yang Liu
  • ,
  • Hiroaki Miyahara
  • ,
  • Harpreet Kaur
  • ,
  • Qian Chu
  • ,
  • Hongyan Zhang
  • ,
  • Ulf D. Kahlert
  • ,
  • Charles G. Eberhart

26
6
開始ページ
713
終了ページ
723
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/bpa.12343
出版者・発行元
WILEY-BLACKWELL

Glioblastomas are highly aggressive tumors that contain treatment resistant stem-like cells. Therapies targeting developmental pathways such as Notch eliminate many neoplastic glioma cells, including those with stem cell features, but their efficacy can be limited by various mechanisms. One potential avenue for chemotherapeutic resistance is the induction of autophagy, but little is known how it might modulate the response to Notch inhibitors. We used the -secretase inhibitor MRK003 to block Notch pathway activity in glioblastoma neurospheres and assessed its effects on autophagy. A dramatic, several fold increase of LC3B-II/LC3B-I autophagy marker was noted on western blots, along with the emergence of punctate LC3B immunostaining in cultured cells. By combining the late stage autophagy inhibitor chloroquine (CQ) with MRK003, a significant induction in apoptosis and reduction in growth was noted as compared to Notch inhibition alone. A similar beneficial effect on inhibition of cloogenicity in soft agar was seen using the combination treatment. These results demonstrated that pharmacological Notch blockade can induce protective autophagy in glioma neurospheres, resulting in chemoresistance, which can be abrogated by combination treatment with autophagy inhibitors.

リンク情報
DOI
https://doi.org/10.1111/bpa.12343
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26613556
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000389146900003&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/bpa.12343
  • ISSN : 1015-6305
  • eISSN : 1750-3639
  • PubMed ID : 26613556
  • Web of Science ID : WOS:000389146900003

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