A Novel Pipeline for Drug Repurposing for Bladder Cancer Based on Patients’ Omics Signatures

Author:

Mokou MarikaORCID,Lygirou VasilikiORCID,Angelioudaki Ioanna,Paschalidis Nikolaos,Stroggilos Rafael,Frantzi MariaORCID,Latosinska Agnieszka,Bamias AristotelisORCID,Hoffmann Michèle J.ORCID,Mischak Harald,Vlahou Antonia

Abstract

Multi-omics signatures of patients with bladder cancer (BC) can guide the identification of known de-risked therapeutic compounds through drug repurposing, an approach not extensively explored yet. In this study, we target drug repurposing in the context of BC, driven by tissue omics signatures. To identify compounds that can reverse aggressive high-risk Non-Muscle Invasive BC (NMIBC) to less aggressive low-risk molecular subtypes, the next generation Connectivity Map (CMap) was employed using as input previously published proteomics and transcriptomics respective signatures. Among the identified compounds, the ATP-competitive inhibitor of mTOR, WYE-354, showed a consistently very high score for reversing the aggressive BC molecular signatures. WYE-354 impact was assessed in a panel of eight multi-origin BC cell lines and included impaired colony growth and proliferation rate without any impact on apoptosis. Overall, with this study we introduce a promising pipeline for the repurposing of drugs for BC treatment, based on patients’ omics signatures.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Proteomic analysis of the urothelial cancer landscape;Nature Communications;2024-05-27

2. Unveiling therapeutic prospects: targeting MDM-2 in non-muscle invasive bladder cancer;Journal of Biomolecular Structure and Dynamics;2024-03-18

3. Novel integrated Omics based computational approach for drug repurposing for non-muscle invasive bladder cancer (NMIBC);Journal of Biomolecular Structure and Dynamics;2024-01-21

4. Clinical Trials on Repurposed Drugs: An Overview;Drug Repurposing;2024

5. Role of artificial intelligence in cancer diagnostics and therapeutics;Biomarkers in Cancer Detection and Monitoring of Therapeutics;2024

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