EGFR inhibitors identified as a potential treatment for chordoma in a focused compound screen

Susanne Scheipl1,2, Michelle Barnard1,3,4, Lucia Cottone1

  • 1University College London Cancer Institute, London, UK.

Insights

This study screened compounds against chordoma (rare bone cancer) and found that epidermal growth factor receptor (EGFR) inhibitors show promise. Sapitinib demonstrated significant tumor reduction in mouse models, suggesting potential for chordoma treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Chordoma is a rare, aggressive bone malignancy with limited treatment options.
  • Identifying novel therapeutic targets is crucial for improving patient outcomes.

Purpose of the Study:

  • To identify effective compounds for chordoma treatment through a focused compound screen.
  • To evaluate the efficacy of epidermal growth factor receptor (EGFR) inhibitors in chordoma cell lines and in vivo models.

Main Methods:

  • Focused compound screen of 1097 compounds on chordoma cell lines.
  • Determination of half-maximal effective concentration (EC50) and selective cell kill.
  • In vitro and in vivo evaluation of lead compounds, including xenograft mouse models.
  • Analysis of genetic alterations and signaling pathways involved in drug resistance.

Main Results:

  • 27 compounds showed chordoma-selective cell kill, with 78% identified as EGFR/ERBB family inhibitors.
  • Sapitinib, gefitinib, and erlotinib demonstrated efficacy in sensitive chordoma cell lines, inducing apoptosis and suppressing EGFR signaling.
  • Sapitinib significantly reduced tumor growth in two distinct xenograft models.
  • No significant EGFR, ERBB2, or MET amplifications or mutations were detected in the tested cell lines.

Conclusions:

  • EGFR inhibitors represent a promising therapeutic strategy for chordoma treatment.
  • Sapitinib is a lead compound for further development in chordoma therapy.
  • Understanding resistance mechanisms, such as MET signaling, is essential for optimizing treatment strategies.