High-throughput neural stem cell-based drug screening identifies S6K1 inhibition as a selective vulnerability in sonic hedgehog-medulloblastoma

• Published in: Neuro-oncology (Charlottesville, Va.) Vol. 26; no. 9; pp. 1685 - 1699
• Main Authors: Zhou, Leilei, van Bree, Niek, Boutin, Lola, Ryu, Jinhye, Moussaud, Simon, Liu, Mingzhi, Otrocka, Magdalena, Olsson, Magnus, Falk, Anna, Wilhelm, Margareta
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 05.09.2024
• Subjects: Medicin och hälsovetenskap; Pediatric Neuro-Oncology; precision cancer medicine; medulloblastoma; PF4708671; high-throughput drug screen; S6K1
• ISSN: 1522-8517; 1523-5866; 1523-5866
• DOI: 10.1093/neuonc/noae104

Abstract Background Medulloblastoma (MB) is one of the most common malignant brain tumors in children. Current treatments have increased overall survival but can lead to devastating side effects and late complications in survivors, emphasizing the need for new, improved targeted therapies that specifically eliminate tumor cells while sparing the normally developing brain. Methods Here, we used a sonic hedgehog (SHH)-MB model based on a patient-derived neuroepithelial stem cell system for an unbiased high-throughput screen with a library of 172 compounds with known targets. Compounds were evaluated in both healthy neural stem cells (NSCs) and tumor cells derived from the same patient. Based on the difference of cell viability and drug sensitivity score between normal cells and tumor cells, hit compounds were selected and further validated in vitro and in vivo. Results We identified PF4708671 (S6K1 inhibitor) as a potential agent that selectively targets SHH-driven MB tumor cells while sparing NSCs and differentiated neurons. Subsequent validation studies confirmed that PF4708671 inhibited the growth of SHH-MB tumor cells both in vitro and in vivo, and that knockdown of S6K1 resulted in reduced tumor formation. Conclusions Overall, our results suggest that inhibition of S6K1 specifically affects tumor growth, whereas it has less effect on non-tumor cells. Our data also show that the NES cell platform can be used to identify potentially effective new therapies and targets for SHH-MB.