Mapping Tyrosine Kinases Based on a TK Activity-Representing Peptide Library Reveals a Role for SRC in H1975 Drug

Zhanwu Hou1, Caiting Meng1, Fei Yang1

  • 1Center for Mitochondrial Biology and Medicine & Douglas C. Wallace Institute for Mitochondrial and Epigenetic Information Sciences, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.

Insights

A new peptide library strategy monitors tyrosine kinase (TK) activity to understand cancer drug resistance. This approach identified SRC activity as key in overcoming resistance to EGFR inhibitors in non-small cell lung cancer.

Area of Science:

  • Biochemistry
  • Oncology
  • Proteomics

Background:

  • Tyrosine kinases (TKs) are critical targets in cancer therapy, with numerous TK inhibitors approved.
  • Cancer drug resistance, often due to kinome reprogramming, limits the long-term efficacy of TK inhibitors.
  • Monitoring TK activity is essential for understanding and overcoming drug resistance mechanisms.

Purpose of the Study:

  • To develop and validate a novel strategy for directly inferring TK activities.
  • To investigate TK activity heterogeneity in non-small cell lung cancer (NSCLC) cell lines.
  • To assess TK activity responses to EGFR inhibitor AZD9291 and identify resistance mechanisms.

Main Methods:

  • Development of a TK activity-representing peptide library-based multiple reaction monitoring (TARPL-MRM) strategy.
  • Assay of 87 human TKs by quantifying 301 phosphorylation sites.
  • Application of the TARPL-MRM strategy to NSCLC cell lines, including analysis of resistance to AZD9291.

Main Results:

  • Demonstrated heterogeneity of TK activity across different NSCLC cell lines.
  • Assessed the dynamic changes in TK activities in response to AZD9291 treatment.
  • Identified SRC activity as crucial for acquired resistance in H1975 cells and suggested SRC inhibition as a potential strategy to overcome resistance.

Conclusions:

  • The TARPL-MRM strategy provides a powerful tool for direct inference of TK activities.
  • This approach can reveal insights into cancer drug resistance mechanisms, such as acquired resistance to EGFR inhibitors in NSCLC.
  • The strategy holds potential for clinical diagnostics and the discovery of novel therapeutic targets for cancer treatment.

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