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Letters in Drug Design & Discovery

Editor-in-Chief

ISSN (Print): 1570-1808
ISSN (Online): 1875-628X

Research Article

Existing Drug Repurposing for Glioblastoma to Discover Candidate Drugs as a New a Approach

Author(s): Bo Yang, Xiande Wang*, Dong Dong, Yunqing Pan, Junhua Wu and Jianjian Liu

Volume 19, Issue 1, 2022

Published on: 09 May, 2021

Page: [31 - 43] Pages: 13

DOI: 10.2174/1570180818666210509141735

Price: $65

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Abstract

Aims: Repurposing of drugs has been hypothesized as a means of identifying novel treatment methods for certain diseases.

Background: Glioblastoma (GB) is an aggressive type of human cancer; the most effective treatment for glioblastoma is chemotherapy, whereas, when repurposing drugs, a lot of time and money can be saved.

Objective: Repurposing of the existing drug may be used to discover candidate drugs for individualized treatments of GB.

Methods: We used the bioinformatics method to obtain the candidate drugs. In addition, the drugs were verified by MTT assay, Transwell® assays, TUNEL staining, and in vivo tumor formation experiments, as well as statistical analysis.

Results: We obtained 4 candidate drugs suitable for the treatment of glioma, camptothecin, doxorubicin, daunorubicin and mitoxantrone, by the expression spectrum data IPAS algorithm analysis and drug-pathway connectivity analysis. These validation experiments showed that camptothecin was more effective in treating the GB, such as MTT assay, Transwell® assays, TUNEL staining, and in vivo tumor formation.

Conclusion: With regard to personalized treatment, this present study may be used to guide the research of new drugs via verification experiments and tumor formation. The present study also provides a guide to systematic, individualized drug discovery for complex diseases and may contribute to the future application of individualized treatments.

Keywords: Glioblastoma, drug repurposing, candidate drugs, algorithm, databases, MTT assay.

Graphical Abstract

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