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Published on: July 6, 2021
The complexities and versatility of the RAS-to-ERK signalling system in normal and cancer cells
Dirk Fey1, David Matallanas1, Jens Rauch1
1Systems Biology Ireland, UCD School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland; Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.
Abstract:
The intricate dynamic control and plasticity of RAS to ERK mitogenic, survival and apoptotic signalling has mystified researches for more than 30 years. Therapeutics targeting the oncogenic aberrations within this pathway often yield unsatisfactory, even undesired results, as in the case of paradoxical ERK activation in response to RAF inhibition. A direct approach of inhibiting single oncogenic proteins misses the dynamic network context governing the network signal processing. In this review, we discuss the signalling behaviour of RAS and RAF proteins in normal and in cancer cells, and the emerging systems-level properties of the RAS-to-ERK signalling network. We argue that to understand the dynamic complexities of this control system, mathematical models including mechanistic detail are required. Looking into the future, these dynamic models will build the foundation upon which more effective, rational approaches to cancer therapy will be developed.
Insights
Understanding the complex RAS-to-ERK signaling network is crucial for effective cancer therapy. Mathematical models are needed to capture its dynamic behavior and improve treatment strategies, moving beyond single-protein inhibition.
Area of Science:
- Cellular signaling pathways
- Cancer biology
- Systems biology
Background:
- The RAS-to-ERK pathway controls crucial cell functions like proliferation and survival.
- Current cancer therapies targeting this pathway often show limited efficacy due to complex signaling dynamics.
- Paradoxical effects, such as ERK activation during RAF inhibition, highlight the need for a deeper understanding.
Purpose of the Study:
- To review the signaling behavior of RAS and RAF proteins in normal and cancer cells.
- To discuss the systems-level properties of the RAS-to-ERK signaling network.
- To advocate for the use of mathematical modeling in understanding this complex pathway.
Main Methods:
- Literature review of RAS and RAF signaling.
- Analysis of systems-level properties of the RAS-to-ERK network.
- Discussion of the role of mathematical modeling in deciphering pathway dynamics.
Main Results:
- The RAS-to-ERK pathway exhibits intricate dynamic control and plasticity.
- Single-target inhibition strategies often fail due to the network's context-dependent signaling.
- Emerging systems-level properties reveal the complexity of signal processing within this network.
Conclusions:
- A comprehensive understanding of RAS-to-ERK signaling requires considering its dynamic and network properties.
- Mathematical models incorporating mechanistic details are essential for elucidating pathway complexities.
- Developing advanced, rational cancer therapies necessitates a foundation built on these dynamic models.
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