MISC

査読有り
2017年1月

Near infrared photoimmunotherapy with avelumab, an antiprogrammed death-ligand 1 (PD-L1) antibody

ONCOTARGET
  • Tadanobu Nagaya
  • ,
  • Yuko Nakamura
  • ,
  • Kazuhide Sato
  • ,
  • Toshiko Harada
  • ,
  • Peter L. Choyke
  • ,
  • James W. Hodge
  • ,
  • Jeffrey Schlom
  • ,
  • Hisataka Kobayashi

8
5
開始ページ
8807
終了ページ
8817
記述言語
英語
掲載種別
速報,短報,研究ノート等(学術雑誌)
DOI
10.18632/oncotarget.12410
出版者・発行元
IMPACT JOURNALS LLC

Near Infrared-Photoimmunotherapy (NIR-PIT) is a highly selective tumor treatment that employs an antibody-photo-absorber conjugate (APC). Programmed cell death protein-1 ligand (PD-L1) is emerging as a molecular target. Here, we describe the efficacy of NIR-PIT, using fully human IgG1 anti-PD-L1 monoclonal antibody (mAb), avelumab, conjugated to the photo-absorber, IR700DX, in a PD-L1 expressing H441 cell line, papillary adenocarcinoma of lung. Avelumab-IR700 showed specific binding and cell-specific killing was observed after exposure of the cells to NIR in vitro. In the in vivo study, avelumab-IR700 showed high tumor accumulation and high tumor-background ratio. Tumor-bearing mice were separated into 4 groups: (1) no treatment; (2) 100 mu g of avelumab-IR700 i.v.; (3) NIR light exposure only, NIR light was administered; (4) 100 mu g of avelumab-IR700 i.v., NIR light was administered. Tumor growth was significantly inhibited by NIR-PIT treatment compared with the other groups (p < 0.001), and significantly prolonged survival was achieved (p < 0.01 vs other groups). In conclusion, the anti-PD-L1 antibody, avelumab, is suitable as an APC for NIR-PIT. Furthermore, NIR-PIT with avelumab-IR700 is a promising candidate of the treatment of PD-L1-expressing tumors that could be readily translated to humans.

リンク情報
DOI
https://doi.org/10.18632/oncotarget.12410
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000393295500137&DestApp=WOS_CPL
ID情報
  • DOI : 10.18632/oncotarget.12410
  • ISSN : 1949-2553
  • Web of Science ID : WOS:000393295500137

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