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A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
Published on: April 6, 2016
Therapeutic control and resistance of the EGFR-driven signaling network in glioblastoma
Francisco Azuaje1, Katja Tiemann2, Simone P Niclou3
1Department of Oncology, NorLux Neuro-Oncology Laboratory, Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg. Francisco.Azuaje@lih.lu.
Abstract:
The alteration of the epidermal growth factor receptor (EGFR)-driven signaling network is a characteristic feature of glioblastomas (GBM), and its inhibition represents a treatment strategy. However, EGFR-targeted interventions have been largely ineffective. Complex perturbations in this system are likely to be central to tumor cells with high adaptive capacity and resistance to therapies. We review key concepts and mechanisms relevant to EGFR-targeted treatment resistance at a systems level. Our understanding of treatment resistance as a systems-level phenomenon is necessary to develop effective therapeutic options for GBM patients. This is allowing us to go beyond the notion of therapeutic targets as single molecular components, into strategies that can weaken cancer signaling robustness and boost inherent network-level vulnerabilities.
Insights
Targeting the epidermal growth factor receptor (EGFR) in glioblastoma (GBM) is ineffective due to complex resistance mechanisms. A systems-level approach is needed to overcome treatment resistance and develop effective therapies for GBM patients.
Area of Science:
- Oncology
- Molecular Biology
- Systems Biology
Background:
- Alterations in the epidermal growth factor receptor (EGFR) signaling network are key features of glioblastoma (GBM).
- EGFR-targeted therapies are a common strategy for GBM treatment.
- Current EGFR-targeted interventions show limited efficacy in GBM patients.
Purpose of the Study:
- To review key concepts and mechanisms of EGFR-targeted treatment resistance in GBM.
- To understand treatment resistance as a systems-level phenomenon.
- To inform the development of effective therapeutic options for GBM.
Main Methods:
- Literature review of systems-level mechanisms.
- Analysis of EGFR signaling network perturbations.
- Examination of adaptive capacity and resistance in tumor cells.
Main Results:
- Complex perturbations within the EGFR signaling network contribute to treatment resistance.
- Tumor cells exhibit high adaptive capacity, leading to resistance.
- Current understanding of resistance is often limited to single molecular targets.
Conclusions:
- A systems-level understanding of EGFR-targeted treatment resistance is crucial for GBM.
- Therapeutic strategies should move beyond single molecular targets.
- Focusing on network-level vulnerabilities may overcome GBM resistance and improve patient outcomes.
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