Effects of Activating Mutations on EGFR Cellular Protein Turnover and Amino Acid Recycling Determined Using SILAC

Michael J Greig1, Sherry Niessen1, Scott L Weinrich2

  • 1Worldwide Medicinal Chemistry, Pfizer, Inc., La Jolla Laboratories, 10770 Science Center Drive, San Diego, CA 92121, USA.

Insights

Drug resistance in cancer therapy can arise from mutations in targeted proteins like epidermal growth factor receptor (EGFR). This study measured EGFR turnover rates, revealing variations influenced by mutations and amino acid recycling.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Protein mutations driving cancer therapy resistance can alter drug binding and protein stability.
  • Epidermal growth factor receptor (EGFR) is a key target in non-small cell lung cancer (NSCLC).
  • Understanding protein turnover is crucial for developing effective cancer treatments.

Purpose of the Study:

  • To measure the cellular turnover rates of wild-type (WT) and mutant epidermal growth factor receptor (EGFR).
  • To investigate the impact of specific EGFR mutations on protein turnover.
  • To assess the influence of essential amino acid recycling on EGFR turnover rate calculations.

Main Methods:

  • Stable Isotope Labeling by Amino acids in Cell culture (SILAC) coupled with Mass Spectrometry (MS) was used to measure protein turnover.
  • Turnover rates were analyzed for WT EGFR, single mutants (Del 746-750, L858R), and a double mutant (L858R/T790M).
  • Essential amino acid (Lysine and Arginine) recycling was quantified across different cell lines.

Main Results:

  • EGFR turnover rates varied significantly across non-small cell lung cancer cell lines, ranging from 28 hours (WT EGFR in A431 cells) to 7.5 hours (Del 746-750 mutant EGFR in PC-9 cells).
  • Measurement of EGFR turnover in cells treated with irreversible inhibitors presented challenges due to effects on cell viability.
  • Amino acid recycling rates differed between cell lines, leading to a 10-20% reduction in calculated EGFR turnover rates when accounted for.

Conclusions:

  • EGFR mutation status directly impacts its cellular turnover rate, a factor potentially contributing to drug resistance.
  • Amino acid recycling significantly affects the accurate determination of protein turnover rates.
  • These findings provide insights into the complex dynamics of EGFR in cancer and may inform future therapeutic strategies.