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Published on: September 19, 2018
Modelling of Protein Kinase Signaling Pathways in Melanoma and Other Cancers
1Department of Dermatology, Venereology and Allergology, University of Leipzig, Philipp-Rosenthal-Str. 23, 04103 Leipzig, Germany. manfred.kunz@medizin.uni-leipzig.de.
Abstract:
Melanoma is a highly aggressive tumor with a strong dependence on intracellular signaling pathways. Almost half of all melanomas are driven by mutations in the v-Raf murine sarcoma viral oncogene homolog B (BRAF) with BRAFV600E being the most prevalent mutation. Recently developed targeted treatment directed against mutant BRAF and downstream mitogen-activated protein kinase (MAPK) MAP2K1 (also termed MEK1) have improved overall survival of melanoma patients. However, the MAPK signaling pathway is far more complex than a single chain of consecutively activated MAPK enzymes and it contains nested-, inherent feedback mechanisms, crosstalk with other signaling pathways, epigenetic regulatory mechanisms, and interacting small non-coding RNAs. A more complete understanding of this pathway is needed to better understand melanoma development and mechanisms of treatment resistance. Network reconstruction, analysis, and modelling under the systems biology paradigm have been used recently in different malignant tumors including melanoma to analyze and integrate 'omics' data, formulate mechanistic hypotheses on tumorigenesis, assess and personalize anticancer therapy, and propose new drug targets. Here we review the current knowledge of network modelling approaches in cancer with a special emphasis on melanoma.
Insights
Melanoma, a complex cancer, relies on signaling pathways like BRAF. Network modeling offers insights into melanoma development and treatment resistance by analyzing intricate pathway interactions.
Area of Science:
- Oncology
- Systems Biology
- Bioinformatics
Background:
- Melanoma is an aggressive cancer often driven by BRAF mutations.
- Targeted therapies against BRAF and MEK1 have improved survival.
- The MAPK signaling pathway is complex, involving feedback, crosstalk, and non-coding RNAs, necessitating deeper understanding for treatment resistance.
Purpose of the Study:
- To review network modeling approaches in cancer, focusing on melanoma.
- To highlight the complexity of the MAPK signaling pathway in melanoma.
- To explore how systems biology can advance melanoma research.
Main Methods:
- Review of current literature on network reconstruction, analysis, and modeling in cancer.
- Emphasis on applications in melanoma research.
- Integration of 'omics' data for mechanistic hypothesis generation.
Main Results:
- Network modeling is a valuable tool for analyzing complex signaling pathways in melanoma.
- Systems biology approaches aid in understanding melanoma development and treatment resistance.
- Modeling can inform personalized anticancer therapy and identify new drug targets.
Conclusions:
- A comprehensive understanding of the MAPK pathway through network modeling is crucial for melanoma.
- Systems biology paradigms offer powerful methods for dissecting melanoma complexity.
- Network modeling holds promise for improving melanoma treatment strategies and drug discovery.
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