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Network-based drug repurposing for HPV-associated cervical cancer
Faheem Ahmed1, Young Jin Yang2, Anupama Samantasinghar1
1Department of Mechatronics Engineering, Jeju National University, South Korea.
Computational and Structural Biotechnology Journal
|November 3, 2023
Summary
This study identifies 142 potential repurposed drugs and 13 drug combinations to treat human papillomavirus (HPV)-associated cervical cancer (CC) using a network medicine approach, accelerating drug discovery for this common cancer.
Area of Science:
- Oncology
- Virology
- Computational Biology
- Pharmacology
Background:
- Cervical cancer (CC) is a significant global health concern, with human papillomavirus (HPV) types 16 and 18 implicated in approximately 50% of high-grade cases.
- HPV-positive patients face a substantially higher risk of CC, underscoring the need for effective and timely therapeutic interventions.
- Drug repurposing offers a cost-effective and time-efficient strategy for identifying novel treatments by leveraging existing pharmaceutical agents.
Purpose of the Study:
- To develop and apply an integrative drug repurposing framework utilizing a systems biology-enabled network medicine platform.
- To identify potential repurposable drugs and drug combinations for targeting HPV-induced cervical cancer pathways.
- To validate the efficacy of identified drug candidates through computational and transcriptomic analyses.
Main Methods:
- Construction of an HPV-induced CC protein interaction network (HPV2C) based on omics data from the GEO database.
- Modeling of a drug-target interaction (DTI) network using data from DrugBank and related resources.
- Network proximity analysis of HPV-host targets and DTIs within the human protein interactome to identify potential repurposable drugs.
Main Results:
- The framework identified 142 potential repurposable drugs targeting HPV-induced CC pathways.
- Of these, 51 drugs are already in clinical use for CC, and 33 possess antiviral activity.
- Gene set enrichment analysis and transcriptomic data validation confirmed the predictions, and 13 drug combinations were identified based on overlapping exposure.
Conclusions:
- The study presents an effective network-based methodology for the rapid identification of repurposable drugs and drug combinations against HPV-associated CC.
- This approach accelerates the drug discovery pipeline, offering a promising avenue for developing novel therapeutic strategies.
- The identified drug candidates and combinations warrant further investigation for clinical application in cervical cancer treatment.
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