Chrome Extension
WeChat Mini Program
Use on ChatGLM

Network-Based Drug Discovery Identifies Statins as a Repurposing Agent to Improve Activity of Current Therapies in Chronic Lymphocytic Leukemia.

Research Square (Research Square)(2020)

Cited 0|Views12
No score
Abstract
Background: Chronic lymphocytic leukemia (CLL) is a B lymphoid malignancy highly dependent on the microenvironment. CLL cell interactions with the supportive tissue microenvironment play a critical role in disease pathogenesis. Despite new targeted therapies such as ibrutinib and venetoclax, disease progression and relapse remain an issue. The present study aimed to identify drugs targeting key proteins described to have a role in the microenvironment.Methods: We used a platform for drug discovery based on systems biology and artificial intelligence. Bioactive compounds have been screened in silico and selected compounds were evaluated in CLL cell lines in the presence of stromal cells to mimic the microenvironment and validated the best candidates in primary CLL cells. Results: Our results showed that the commercial drug simvastatin was the most effective and selective out of the tested compounds. Simvastatin decreased CLL cell survival and proliferation as well as cell adhesion. Importantly, this drug enhanced the antitumor effect of venetoclax and ibrutinib. Conclusions: We proposed that systems biology approaches combined with pharmacology screening could help to find new drugs for CLL treatment and to predict new combinations with current therapies. Our results highlight the possibility of repurposing widely used drugs such as statins to target the microenvironment and to improve the efficacy of ibrutinib or venetoclax in CLL cells.
More
Translated text
Key words
drug discovery identifies statins,chronic lymphocytic leukemia,drug discovery,current therapies,network-based
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined