Pathway-Based Drug Repositioning for Cancers: Computational Prediction and Experimental Validation

Michio Iwata, Lisa Hirose, Hiroshi Kohara, Jiyuan Liao, Ryusuke Sawada, Sayaka Akiyoshi, Kenzaburo Tani, Yoshihiro Yamanishi

研究成果: ジャーナルへの寄稿学術誌査読

16 被引用数 (Scopus)


Developing drugs with anticancer activity and low toxic side-effects at low costs is a challenging issue for cancer chemotherapy. In this work, we propose to use molecular pathways as the therapeutic targets and develop a novel computational approach for drug repositioning for cancer treatment. We analyzed chemically induced gene expression data of 1112 drugs on 66 human cell lines and searched for drugs that inactivate pathways involved in the growth of cancer cells (cell cycle) and activate pathways that contribute to the death of cancer cells (e.g., apoptosis and p53 signaling). Finally, we performed a large-scale prediction of potential anticancer effects for all the drugs and experimentally validated the prediction results via three in vitro cellular assays that evaluate cell viability, cytotoxicity, and apoptosis induction. Using this strategy, we successfully identified several potential anticancer drugs. The proposed pathway-based method has great potential to improve drug repositioning research for cancer treatment.

ジャーナルJournal of Medicinal Chemistry
出版ステータス出版済み - 11月 8 2018

!!!All Science Journal Classification (ASJC) codes

  • 分子医療
  • 創薬


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