TMIC-56. LONGITUDINAL SINGLE CELL RNA SEQUENCING UNVEILS PHENOTYPIC CO-OPTION AND LINEAGE TRAITS OF MESENCHYMAL GLIOBLASTOMA AND GLIOMA-ASSOCIATED FIBROBLASTS

Abstract BACKGROUND Adult gliomas exhibit a high level of heterogeneity presenting a substantial challenge hampering development of targeted therapies. Bulk RNAseq studies have identified a mesenchymal gene expression signature across the glioma continuum, based on which a mesenchymal subtype of glioblastoma (MES-GBM) has been described. However, the mesenchymal phenotype of gliomas remains inconsistently defined and the origin of the mesenchymal signature has been debated). Single cell transcriptomic profiling has allowed resolution of gene expression profiles of tumor and non-tumor cells, leading to recent identification of cancer-associated fibroblasts in gliomas and improved understanding of the mesenchymal gene expression signature. METHODS We performed longitudinal scRNAseq analysis of organotypic human glioma slices from 8 patients cultured ex vivo for up to 3 weeks. RESULTS We found 2 of the 6 IDHwt glioblastomas exhibit the mesenchymal phenotype based on Consensus Methylation Profiling (NIH) and scRNAseq analysis, annotated as Mes-1 and Mes-2. The gene expression profiles of mesenchymal glioblastomas show limited concordance with that of either the proneural or classical glioblastoma signatures or of cell types in physiological human brain, with Mes-2 deviating more extensively from non-mesenchymal gliomas. Instead, single cell transcriptomics suggests a hyper-secretory phenotype and overlaps broadly with that of cancer-associated fibroblasts (CAFs) and both express FGF2, other growth factors, and cytokines. Notably, Mes-2 cells express minimal to no levels of genes associated with brain cell lineages, such as PTPRZ1 and SCG3, which are abundantly expressed in other glioma subtypes. CONCLUSIONS Taken together, our data reveals extended depth of glioma heterogeneity that distinguishes MES-GBM from other glioma subtypes and suggests a phenotypic and lineage linkage between MES-GBM and glioma-associated fibroblasts. Thus, new diagnostic and treatment strategies leveraging auto- and paracrine mechanisms underpinning tumor and non-tumor interactions including disruption of the FGF2-FGFR1 circuitry may apply specifically to MES-GBM.