Bhasin, M. K. | bioRxiv Science

bioRxiv2024

Medulloblastoma Spatial Transcriptomics Reveals Tumor Microenvironment Heterogeneity with High-Density Progenitor Cell Regions Correlating with High-Risk Disease

The tumor microenvironment (TME) of medulloblastoma (MB) influences progression and therapy response, presenting a promising target for therapeutic advances. Prior single-cell analyses have characterized the cellular components of the TME but lack spatial context. To address this, we performed spatial transcriptomic sequencing on sixteen pediatric MB samples obtained at diagnosis, including two matched diagnosis-relapse pairs. Our analyses revealed inter- and intra-tumoral heterogeneity within the TME, comprised of tumor-associated astrocytes (TAAs), macrophages (TAMs), stromal components, and distinct subpopulations of MB cells at different stages of neuronal differentiation and cell cycle progression. We identified dense regions of quiescent progenitor-like MB cells enriched in patients with high-risk (HR) features and an increase in TAAs, TAMs, and dysregulated vascular endothelium following relapse. Our study presents novel insights into the spatial architecture and cellular landscape of the medulloblastoma TME, highlighting spatial patterns linked to HR features and relapse, which may serve as potential therapeutic targets.

cancer biology↗

bioRxiv2022

Single Cell RNA Sequencing Driven Characterization of Pediatric Mixed Phenotype Acute Leukemia

BackgroundMixed phenotype acute leukemia (MPAL) is a rare subgroup of leukemia characterized by blast cells that display both myeloid and lymphoid lineage features, making this cancer difficult to diagnose and treat. A deeper characterization of MPAL at the molecular level is essential to better understand similarities/differences to the more common and better-studied leukemias, acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). Therefore, we performed single-cell RNA sequencing (scRNAseq) on MPAL bone marrow (BM) samples in an attempt to develop a more granular map of the MPAL microenvironment landscape. MethodsWe analyzed [~]16,000 cells from five pediatric MPAL BM samples collected at diagnosis to generate a single-cell transcriptomic landscape of B/Myeloid (B/My) and T/Myeloid (T/My) MPAL blasts and associated microenvironment cells. Cell clusters were identified using principal component analysis and uniform manifold approximation and projection (UMAP). Unsupervised analysis was performed to determine the overall relationship among B/My MPAL, T/My MPAL, and other acute leukemias - B-ALL, T-ALL, and AML. Supervised differentially expressed gene (DEG) analysis was performed to identify B/My and T/My MPAL blast-specific signatures. MPAL sample transcriptome profiles were compared with normal BM stem and immune cells to identify MPAL-specific dysregulation. Gene set enrichment analysis (GSEA) was performed, and significantly enriched pathways were compared in MPAL subtypes. Comparative analysis was performed on diagnostic samples based on their future minimal residual disease (MRD) and relapse status. ResultsB/My MPAL and T/My MPAL blasts displayed distinct subtype-specific blast signatures. UMAP analysis revealed that B/My MPAL samples had greater overlap with B-ALL samples, while T/My MPAL samples clustered separately from other acute leukemia subtypes. Genes overexpressed in both MPAL subtypes blasts compared to other leukemias and healthy controls included PLIN2, CD81, and UBE2S. B/My MPAL blast-specific genes included IRS2, SMIM3, and HBEGF, whereas T/My MPAL blast-overexpressed genes included IER5, BOD1L1, and HPGD. Sirtuin signaling, p38 MPAK signaling, and PI3K signaling pathways were upregulated in B/My MPAL blasts while oxidative phosphorylation and Rho family GTPases signaling pathways were upregulated in T/My MPAL blasts. Transcriptomic, pathways, and cell communication level differences were observed in the MPAL samples based on future MRD and clinical outcome status. ConclusionsWe have for the first time described the single-cell landscape of pediatric MPAL and demonstrate that B/My and T/My MPAL have unique scRNAseq profiles distinct from each other as well as from ALL and AML.

genomics↗