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.

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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