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Claire Sun, Paul Daniel, Nicole Chew, Hui Shi, Melissa Loi, Sarah Parackal, Mateusz Koptyra, Shazia Adjumain, Monty Panday, Dilru Habarakada, Motahhareh Tourchi, Naama Neeman, Adam Resnick, Chris Jones, Jason Cain, Ron Firestein, BIOL-01. GENERATION AND MULTI-OMICS CHARACTERIZATION OF 203 PEDIATRIC CNS TUMOUR MODELS REVEALS NEW THERAPEUTIC VULNERABILITIES, Neuro-Oncology, Volume 25, Issue Supplement_1, June 2023, Pages i5–i6, https://doi.org/10.1093/neuonc/noad073.020
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Abstract
Pediatric Central Nervous System (CNS) tumors are the leading cause of cancer-related death among children. Identifying new targeted therapies necessitates the use of pediatric cancer models that faithfully recapitulate the patient’s disease. However, the generation and characterization of pediatric cancer models has significantly lagged adult cancers, underscoring the urgent need to develop and characterize pediatric CNS models of disease. Herein, we establish a single-site collection of 233 CNS tumour cell lines, representing 14 distinct brain childhood tumor types. We subjected >200 cell lines to multi-omics analyses (DNA-sequencing, RNA-sequencing, DNA methylation, proteomics, phospho-proteomics), and in parallel performed pharmacological and genetic CRISPR-Cas9 loss of function screens to identify pediatric-specific treatment opportunities and biomarkers. Our work provides insight into specific pathway vulnerabilities in molecularly defined pediatric tumor classes and uncovers biomarker-linked therapeutic opportunities of clinical relevance. Cell line data and resources are provided in an open access portal (vicpcc.org.au/dashboard).
- cancer
- central nervous system
- central nervous system neoplasms
- adult
- biological markers
- cell lines
- child
- dna methylation
- pediatrics
- sequence analysis, dna
- sequence analysis, rna
- brain
- genetics
- neoplasms
- pharmacology
- proteomics
- childhood cancer
- cancer death rate
- molecular targeted therapy
- crispr-cas9
- clinical relevance
- multiomics