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Published on: October 3, 2025
'Pathway drug cocktail': targeting Ras signaling based on structural pathways
Ruth Nussinov1, Chung-Jung Tsai, Carla Mattos
1Basic Research Program, SAIC-Frederick, Inc., Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA; Sackler Institute of Molecular Medicine, Department of Human Genetics, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.
Targeting Ras mutations in tumors is challenging. Pathway drug cocktails, by hitting parallel pathways, offer a promising therapeutic strategy, especially when guided by structural pathway networks.
Area of Science:
- Oncology
- Molecular Biology
- Systems Biology
Background:
- Ras mutations are common drivers of tumorigenesis and are notoriously difficult to treat with single-agent therapies.
- Existing combination therapies targeting the Ras protein or its direct pathway have shown limited success.
- The complexity of signaling networks necessitates a deeper understanding for effective therapeutic intervention.
Purpose of the Study:
- To highlight the potential of 'pathway drug cocktails' for treating Ras-mutated tumors.
- To emphasize the need for a classified repertoire of pathway combinations.
- To underscore the importance of structural signaling pathway networks for advancing therapeutic platforms.
Main Methods:
- Leveraging structural knowledge of signaling pathways.
- Integrating pathway networks with functional and systems-level clinical data.
- Analyzing the interrelationship between Ras mutations and rewiring of the Ras network.
Main Results:
- Pathway drug cocktails show promise by targeting parallel pathways, offering a more effective approach than single-target drugs.
- Structural pathway networks are crucial for classifying and exploiting combination therapies.
- Understanding network rewiring can reveal vulnerabilities in tumorigenesis driven by Ras mutations.
Conclusions:
- Pathway drug cocktails represent a promising therapeutic paradigm for Ras-mutated cancers.
- The development of a classified repertoire of pathway combinations, informed by structural network data, is essential.
- This approach can be extended to target other signaling proteins implicated in cancer.
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