EPCO-57. INTEGRATED ANALYSIS OF BULK AND SINGLE-CELL RNA SEQUENCING DATA OF PRIMARY AND METASTATIC PEDIATRIC MEDULLOBLASTOMA

Abstract Medulloblastoma (MB) is a highly aggressive and the most common brain tumor in childhood. MB presents a high intertumoral heterogeneity, with at least four molecular subgroups identified (SHH, WNT, Group 3, and Group 4). Metastatic MB, or Leptomeningeal Disease (LMD), is predominantly found in the MB Group 3 type. Although LMD represents a main clinical challenge, its molecular mechanisms remain poorly characterized. Recent research has shown that primary and MB metastasis diverge dramatically. Our work has focused on establishing therapy naïve Group 3 Patient-Derived Xenografts models of primary and metastatic Medulloblastoma to conduct transcriptomic profiling at the bulk and single-nuclei RNAseq levels to identify genetic drivers/pathways that sustain leptomeningeal disease compartment. Our results show various signaling pathways enriched across LMD models, such as MYC targets, unfolded protein response, and fatty acid metabolism. Using single-sample GSEA analysis (ssGSEA) and deconvolution approaches, we have also identified that our PDXes models retain neoplastic subpopulations previously identified in MB single-cell sequencing studies. Similarly, we have identified slight differences in cell subpopulation proportions between primary and leptomeningeal compartments. Our single-nuclei studies have confirmed these results and differentially expressed genes previously found in bulk RNAseq analyses. These results suggest the presence of cell populations enriched in the metastatic compartment with an aberrant transcription phenotype and adaptations in fatty acid metabolism to survive the leptomeningeal space. In conclusion, our work supports the notion that primary and LMD retain subpopulation clusters present in MB Group 3 tumors with different proportions in the metastatic compartment shown by bulkRNAseq deconvolution and single nuclei RNA analysis. We also show that primary and LMD are transcriptionally different, with various enriched pathways in the metastatic compartment and shared among LMD Group 3 PDX models. Through these approaches, we aim to elucidate the genetic dependencies of metastatic Medulloblastoma that will help for targeted therapies.