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Updated: Jul 9, 2025

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Network-targeting combination therapy of leptomeningeal glioblastoma using multiple synthetic lethal strategies: a
Michael P Castro1,2,3, Bence Sipos4, Saskia Biskup5
1Personalized Cancer Medicine, PLLC, Santa Monica, CA, United States.
Abstract:
Network targeting of disease-specific nodes represents a useful principle for designing combination cancer therapy. In this case of a patient with relapsed leptomeningeal glioblastoma, comprehensive molecular diagnosis led to the identification of a disease network characterized by multiple disease-specific synthetic lethal vulnerabilities involving DNA repair, REDOX homeostasis, and impaired autophagy which suggested a novel network-targeting combination therapy (NTCT). A treatment regimen consisting of lomustine, olaparib, digoxin, metformin, and high dose intravenous ascorbate was employed using the principle of intra-patient dose escalation to deliver the treatment with adequate safety measures to achieve a definitive clinical result.
Insights
This study explored a novel network-targeting combination therapy (NTCT) for relapsed leptomeningeal glioblastoma. The approach identified synthetic lethal vulnerabilities, guiding a multi-drug regimen for potential clinical benefit.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Leptomeningeal glioblastoma is an aggressive brain cancer with limited treatment options.
- Network targeting offers a promising strategy for developing novel combination cancer therapies.
- Identifying disease-specific vulnerabilities is key to designing effective treatments.
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