2020
DOI: 10.21203/rs.3.rs-50232/v1
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Network-Based Drug Discovery Identifies Statins as a Repurposing Agent to Improve Activity of Current Therapies in Chronic Lymphocytic Leukemia.

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 sys… Show more

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Cited by 2 publications
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“…This indicates that, despite the uncertain match between the gene signature in preeclampsia and the gene signature of drugs, we can use our 55 models to define a compound-protein interaction network or target interaction signature of all drugs used in preeclampsia management. A similar idea based on a multi-target approach obtained from system biology was successfully applied to identify statins as potential therapies in chronic lymphocytic leukemia in vitro [ 40 ]. In preeclampsia, the recent work of Shuyu Zhao et al [ 12 ] also identify a set of targets which later involve a drug-target network approach for repurposing.…”
Section: Resultsmentioning
confidence: 99%
“…This indicates that, despite the uncertain match between the gene signature in preeclampsia and the gene signature of drugs, we can use our 55 models to define a compound-protein interaction network or target interaction signature of all drugs used in preeclampsia management. A similar idea based on a multi-target approach obtained from system biology was successfully applied to identify statins as potential therapies in chronic lymphocytic leukemia in vitro [ 40 ]. In preeclampsia, the recent work of Shuyu Zhao et al [ 12 ] also identify a set of targets which later involve a drug-target network approach for repurposing.…”
Section: Resultsmentioning
confidence: 99%