Modeling germline mutations in pineoblastoma uncovers lysosome disruption-based therapy

Philip E D Chung, Deena M A Gendoo, Ronak Ghanbari-Azarnier, Jeff C Liu, Zhe Jiang, Jennifer Tsui, Dong-Yu Wang, Xiao Xiao, Bryan Li, Adrian Dubuc, David Shih, Marc Remke, Ben Ho, Livia Garzia, Yaacov Ben-David, Seok-Gu Kang, Sidney Croul, Benjamin Haibe-Kains, Annie Huang, Michael D TaylorEldad Zacksenhaus

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
163 Downloads (Pure)

Abstract

Pineoblastoma is a rare pediatric cancer induced by germline mutations in the tumor suppressors RB1 or DICER1. Presence of leptomeningeal metastases is indicative of poor prognosis. Here we report that inactivation of Rb plus p53 via a WAP-Cre transgene, commonly used to target the mammary gland during pregnancy, induces metastatic pineoblastoma resembling the human disease with 100% penetrance. A stabilizing mutation rather than deletion of p53 accelerates metastatic dissemination. Deletion of Dicer1 plus p53 via WAP-Cre also predisposes to pineoblastoma, albeit with lower penetrance. In silico analysis predicts tricyclic antidepressants such as nortriptyline as potential therapeutics for both pineoblastoma models. Nortriptyline disrupts the lysosome, leading to accumulation of non-functional autophagosome, cathepsin B release and pineoblastoma cell death. Nortriptyline further synergizes with the antineoplastic drug gemcitabine to effectively suppress pineoblastoma in our preclinical models, offering new modality for this lethal childhood malignancy.

Original languageEnglish
Article number1825
Number of pages19
JournalNature Communications
Volume11
Issue number1
DOIs
Publication statusPublished - 14 Apr 2020

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Modeling germline mutations in pineoblastoma uncovers lysosome disruption-based therapy'. Together they form a unique fingerprint.

Cite this