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Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays
Published on: September 19, 2018
Consequences of feedback in signal transduction for targeted therapies
Abstract:
Over the last two decades, many small-molecule inhibitors that target kinase signalling have been developed. More than 20 of these inhibitors are FDA (U.S. Food and Drug Administration)-approved and are now being used in the clinics to treat tumours; even more have entered clinical trials. However, resistance to these inhibitors, either intrinsic to the tumour or acquired during treatment, remains a major problem in targeted therapeutics. One of the mechanisms by which tumours become resistant is the rewiring of the signalling networks via feedback, by which the tumour cells re-activate signalling or activate alternative signalling pathways. In the present article, we review insights from recent quantitative signalling studies combining mathematical modelling and experiments that revealed how feedback rewires MAPK (mitogen-activated protein kinase)/PI3K (phosphoinositide 3-kinase) signalling upon treatment and how that affects drug sensitivity.
Insights
Tumours develop resistance to targeted therapies by rewiring signaling networks. Quantitative studies reveal how feedback loops in MAPK/PI3K pathways impact drug sensitivity, offering insights for improved cancer treatments.
Area of Science:
- Oncology
- Molecular Biology
- Systems Biology
Background:
- Over 20 FDA-approved kinase inhibitors are used clinically for cancer treatment.
- Tumor resistance to targeted therapies is a significant clinical challenge.
- Mechanisms of resistance include the rewiring of cellular signaling networks.
Purpose of the Study:
- To review insights from quantitative signaling studies on drug resistance.
- To explain how feedback mechanisms rewire signaling pathways.
- To elucidate the impact of rewiring on drug sensitivity.
Main Methods:
- Review of recent quantitative signaling studies.
- Integration of mathematical modeling with experimental data.
- Analysis of feedback loops in MAPK/PI3K signaling pathways.
Main Results:
- Feedback mechanisms can reactivate or reroute signaling pathways in tumors.
- Rewiring of MAPK/PI3K signaling networks occurs upon treatment.
- Altered signaling networks affect the sensitivity of tumors to kinase inhibitors.
Conclusions:
- Understanding feedback-driven signaling rewiring is crucial for overcoming drug resistance.
- Quantitative signaling studies provide valuable insights into complex cellular behaviors.
- This knowledge can inform the development of more effective targeted cancer therapies.
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