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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.
Abstract:
Chordoma is a rare malignant bone tumour with a poor prognosis and limited therapeutic options. We undertook a focused compound screen (FCS) against 1097 compounds on three well-characterized chordoma cell lines; 154 compounds were selected from the single concentration screen (1 µm), based on their growth-inhibitory effect. Their half-maximal effective concentration (EC50 ) values were determined in chordoma cells and normal fibroblasts. Twenty-seven of these compounds displayed chordoma selective cell kill and 21/27 (78%) were found to be EGFR/ERBB family inhibitors. EGFR inhibitors in clinical development were then studied on an extended cell line panel of seven chordoma cell lines, four of which were sensitive to EGFR inhibition. Sapitinib (AstraZeneca) emerged as the lead compound, followed by gefitinib (AstraZeneca) and erlotinib (Roche/Genentech). The compounds were shown to induce apoptosis in the sensitive cell lines and suppressed phospho-EGFR and its downstream pathways in a dose-dependent manner. Analysis of substituent patterns suggested that EGFR-inhibitors with small aniline substituents in the 4-position of the quinazoline ring were more effective than inhibitors with large substituents in that position. Sapitinib showed significantly reduced tumour growth in two xenograft mouse models (U-CH1 xenograft and a patient-derived xenograft, SF8894). One of the resistant cell lines (U-CH2) was shown to express high levels of phospho-MET, a known bypass signalling pathway to EGFR. Neither amplifications (EGFR, ERBB2, MET) nor mutations in EGFR, ERBB2, ERBB4, PIK3CA, BRAF, NRAS, KRAS, PTEN, MET or other cancer gene hotspots were detected in the cell lines. Our findings are consistent with the reported (p-)EGFR expression in the majority of clinical samples, and provide evidence for exploring the efficacy of EGFR inhibitors in the treatment of patients with chordoma and studying possible resistance mechanisms to these compounds in vitro and in vivo. © 2016 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
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.
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