Genome-wide CRISPR-Cas9 knockout screens identify DNMT1 as a druggable dependency in sonic hedgehog medulloblastoma.
Foteini TsiamiChiara LagoNoemi PozzaFrederica PiccioniXuesong ZhaoFabienne LülsbergDavid E RootLuca TiberiMarcel KoolCornelia BrendlePratiti BandopadhayayRosalind A SegalGhazaleh TabatabaiDaniel J MerkPublished in: Acta neuropathologica communications (2024)
Sonic hedgehog subgroup of medulloblastoma (SHH-MB) is characterized by aberrant activation of the SHH signaling pathway. An inhibition of the positive SHH regulator Smoothened (SMO) has demonstrated promising clinical efficacy. Yet, primary and acquired resistance to SMO inhibitors limit their efficacy. An understanding of underlying molecular mechanisms of resistance to therapy is warranted to bridge this unmet need. Here, we make use of genome-wide CRISPR-Cas9 knockout screens in murine SMB21 and human DAOY cells, in order to unravel genetic dependencies and drug-related genetic interactors that could serve as alternative therapeutic targets for SHH-MB. Our screens reinforce SMB21 cells as a faithful model system for SHH-MB, as opposed to DAOY cells, and identify members of the epigenetic machinery including DNA methyltransferase 1 (DNMT1) as druggable targets in SHH-dependent tumors. We show that Dnmt1 plays a crucial role in normal murine cerebellar development and is required for SHH-MB growth in vivo. Additionally, DNMT1 pharmacological inhibition alone and in combination with SMO inhibition effectively inhibits tumor growth in murine and human SHH-MB cell models and prolongs survival of SHH-MB mouse models by inhibiting SHH signaling output downstream of SMO. In conclusion, our data highlight the potential of inhibiting epigenetic regulators as a novel therapeutic avenue in SMO-inhibitor sensitive as well as resistant SHH-MBs.
Keyphrases
- genome wide
- dna methylation
- induced apoptosis
- crispr cas
- signaling pathway
- gene expression
- endothelial cells
- genome editing
- cell cycle arrest
- copy number
- high throughput
- stem cells
- endoplasmic reticulum stress
- mouse model
- transcription factor
- epithelial mesenchymal transition
- oxidative stress
- clinical trial
- single cell
- big data
- adverse drug
- single molecule
- pluripotent stem cells
- machine learning
- climate change
- data analysis
- double blind