| Home > Publications database > Multiomic integration reveals tumoral heterogeneity of lipid dependence within lethal group 3 medulloblastoma. |
| Journal Article | DKFZ-2026-00133 |
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2026
Cell Press
Cambridge, Mass.
Abstract: Medulloblastoma, the most common malignant brain tumor of childhood, exhibits significant biological complexity that demands deeper exploration. Here, we present a large multiomics dataset integrating data from 384 primary medulloblastoma patient samples across five omic layers: CpG methylome, transcriptome, proteome, phosphoproteome, and metabolome, paired with associated clinical metadata. Data integration revealed intertumoral heterogeneity of lipid metabolism across proteomic subtypes. Notably, while the MYC-FASN-SCD axis drives lipid biosynthesis, pathway inhibition elicits a compensatory escape mechanism in vivo through exogenous fatty acid uptake. Unexpectedly, we demonstrated that MYC triggers lipid storage, creating a unique dependency on lipid droplet-mitochondria communications to sustain tumor maintenance in vivo. Together, this comprehensive analysis reveals a targetable vulnerability downstream of MYC that constitutes a promising therapeutic approach to treat currently untreatable medulloblastoma subtypes.
Keyword(s): lipid biosynthesis ; lipid droplets ; lipid oxidative stress ; medulloblastoma ; metabolomics ; multiomics integration ; pediatric cancer ; phosphoproteomics ; proteomics ; transcriptomics
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