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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
Understand the acquired resistance of RTK inhibitors by computational receptor tyrosine kinases network
Yuanxin Tian1, Yunci Ma2, Shaoyu Wu1
1Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Abstract:
Receptor Tyrosine Kinase inhibitors are the most popular anti-cancer drug types. But the resistance is the major challenge. Our study on the network with 1334 proteins and their 2623 interactions which retrieved from 52 RTKs indicated that most RTKs proteins were the key controllers of the protein-protein network. Direct or indirect interactions with RTKs (shortest path of 2) were often associated with resistance to RTKs inhibitors in the literature. The results based on the KEGG pathway analysis demonstrated the Rap1 signal pathway would also contribute to the resistance of RTKs inhibitor as well as the known Ras pathway and PI3K/Akt pathway. The pathways can crosstalk within and between complex signals transduction networks, then activate the upstream or downstream pathway, and/or activate the other oncogenes, which lead to the acquired resistance. Our results gave a systematically global view to understand the drug resistance and provided a clue to how to combine the different targets or pathways for synergy of targeted RTKs inhibitors.
Insights
Drug resistance to Receptor Tyrosine Kinase (RTK) inhibitors is a major challenge. Our network analysis reveals RTKs as key controllers, with Rap1, Ras, and PI3K/Akt pathways contributing to resistance via crosstalk.
Area of Science:
- Oncology
- Systems Biology
- Pharmacology
Background:
- Receptor Tyrosine Kinase (RTK) inhibitors are vital anti-cancer therapeutics.
- Acquired drug resistance remains a significant clinical challenge, limiting treatment efficacy.
Purpose of the Study:
- To investigate the protein-protein interaction network of RTKs to understand mechanisms of drug resistance.
- To identify key signaling pathways involved in resistance to RTK inhibitors.
Main Methods:
- Construction and analysis of a protein-protein interaction network involving 1334 proteins and 2623 interactions from 52 RTKs.
- KEGG pathway analysis to identify relevant signaling cascades.
Main Results:
- RTK proteins were identified as central controllers within the protein-protein interaction network.
- Interactions within a shortest path of 2 from RTKs were frequently associated with drug resistance.
- The Rap1 signaling pathway, alongside the known Ras and PI3K/Akt pathways, was implicated in RTK inhibitor resistance.
Conclusions:
- RTK-centric network analysis provides a global view of drug resistance mechanisms.
- Pathway crosstalk, including Rap1, Ras, and PI3K/Akt, contributes to acquired resistance.
- Findings suggest potential combination strategies targeting multiple pathways for enhanced RTK inhibitor efficacy.
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