Hai Lin1,2, Fengjie Sun2, Tingting Li3, Yihan Zhang1, Xiaochun Guo1, Ming Li2, Min Liang2, Xinke Zhou2, Zhiyuan Fang4. 1. School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China. 2. The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510700, China. 3. Reproductive Medicine Research Center, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, China. 4. School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China. fangjnu@126.com.
Abstract
PURPOSE: Increasing evidences have revealed the anti-cancer effect of disulfiram. Current disulfiram-based cancer therapies still have limitations, such as poor tumor-targeting ability and insufficient studies on anti-tumor mechanisms. METHODS: In the present study, tumor-targeting liposomes were prepared as drug carriers to increase retention of disulfiram in tumor cells. Then, anti-tumor efficacy of liposomes and the underlying mechanisms were investigated in in vitro, in vivo, and transcriptomic level. RESULTS: The results showed that disulfiram enhanced sensitivity of human hepatocellular carcinoma cells to doxorubicin by 15-27-fold, and increased reactive oxygen species (ROS) production as well as caspase-dependent apoptosis. Inhibition of tumor migration and invasion by doxorubicin were further enhanced by disulfiram. In vivo study showed that disulfiram additive doxorubicin liposomes had better performance in suppressing tumor growth than single doxorubicin liposomes. Gene expression profiling found that cellular components destruction, cell stress, check point regulation, and immunoregulation were the main anti-tumor mechanisms of disulfiram. More importantly, disulfiram possessed a great potential to be a protein ubiquitination and murine double minute 4 (MDM4) targeting compound. CONCLUSIONS: Due to its low price and good safety, it is worth to repurposing disulfiram as a chemotherapeutic drug. Furthermore, MDM4 may act as a biomarker for observation the clinical effect of disulfiram-based treatment.
PURPOSE: Increasing evidences have revealed the anti-cancer effect of disulfiram. Current disulfiram-based cancer therapies still have limitations, such as poor tumor-targeting ability and insufficient studies on anti-tumor mechanisms. METHODS: In the present study, tumor-targeting liposomes were prepared as drug carriers to increase retention of disulfiram in tumor cells. Then, anti-tumor efficacy of liposomes and the underlying mechanisms were investigated in in vitro, in vivo, and transcriptomic level. RESULTS: The results showed that disulfiram enhanced sensitivity of human hepatocellular carcinoma cells to doxorubicin by 15-27-fold, and increased reactive oxygen species (ROS) production as well as caspase-dependent apoptosis. Inhibition of tumor migration and invasion by doxorubicin were further enhanced by disulfiram. In vivo study showed that disulfiram additive doxorubicin liposomes had better performance in suppressing tumor growth than single doxorubicin liposomes. Gene expression profiling found that cellular components destruction, cell stress, check point regulation, and immunoregulation were the main anti-tumor mechanisms of disulfiram. More importantly, disulfiram possessed a great potential to be a protein ubiquitination and murine double minute 4 (MDM4) targeting compound. CONCLUSIONS: Due to its low price and good safety, it is worth to repurposing disulfiram as a chemotherapeutic drug. Furthermore, MDM4 may act as a biomarker for observation the clinical effect of disulfiram-based treatment.
Authors: O Celik; A Ersahin; M Acet; N Celik; Y Baykus; R Deniz; E Ozerol; I Ozerol Journal: Eur Rev Med Pharmacol Sci Date: 2016-10 Impact factor: 3.507
Authors: Xu Qian; Xiaobo Nie; Wenhao Yao; Konrad Klinghammer; Holger Sudhoff; Andreas M Kaufmann; Andreas E Albers Journal: Semin Cancer Biol Date: 2018-06-20 Impact factor: 15.707
Authors: Zdenek Skrott; Martin Mistrik; Klaus Kaae Andersen; Søren Friis; Dusana Majera; Jan Gursky; Tomas Ozdian; Jirina Bartkova; Zsofia Turi; Pavel Moudry; Marianne Kraus; Martina Michalova; Jana Vaclavkova; Petr Dzubak; Ivo Vrobel; Pavla Pouckova; Jindrich Sedlacek; Andrea Miklovicova; Anne Kutt; Jing Li; Jana Mattova; Christoph Driessen; Q Ping Dou; Jørgen Olsen; Marian Hajduch; Boris Cvek; Raymond J Deshaies; Jiri Bartek Journal: Nature Date: 2017-12-06 Impact factor: 49.962