Publications by authors named "Marni E Shore"
T cells are critical effectors of cancer immunotherapies, but little is known about their gene expression programs in diffuse gliomas. Here, we leverage single-cell RNA sequencing (RNA-seq) to chart the gene expression and clonal landscape of tumor-infiltrating T cells across 31 patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma and IDH mutant glioma. We identify potential effectors of anti-tumor immunity in subsets of T cells that co-express cytotoxic programs and several natural killer (NK) cell genes.
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- Synovial sarcoma (SyS) is an aggressive cancer driven by the SS18-SSX fusion, showing low levels of T cell infiltration, which indicates immune evasion.
- Researchers used single-cell RNA sequencing to analyze 16,872 cells from human SyS tumors, identifying a key malignant subpopulation linked to poorer clinical outcomes and immune-deprived areas.
- The study found that the malignant cell state is influenced by the SS18-SSX fusion and can be targeted with a combination of HDAC and CDK4/CDK6 inhibitors, boosting T cell responses and enhancing treatment effectiveness.
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- Ependymomas are a diverse group of brain tumors classified into distinct molecular groups, and this study uses single-cell RNA sequencing to explore their internal diversity and origins.
- The research shows that ependymomas consist of a hierarchy of cells, starting from undifferentiated cells that struggle to mature into specific types of neurons or glial cells, with well-differentiated cells found in more favorable tumor groups.
- The identified gene expression patterns are linked to patient survival rates and highlight potential targets for personalized treatments, emphasizing the significance of understanding the developmental hierarchy of these tumors for better clinical outcomes.
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- * Researchers conducted single-cell transcriptomics on 25 medulloblastomas to explore the heterogeneity within and between tumor types, noting specific characteristics for each subgroup.
- * The study found that different tumor groups have unique populations of undifferentiated and differentiated cells, with specific cell types correlating to patient age; this sheds light on the cellular development that drives the distinct behaviors of each medulloblastoma subtype.
Diverse genetic, epigenetic, and developmental programs drive glioblastoma, an incurable and poorly understood tumor, but their precise characterization remains challenging. Here, we use an integrative approach spanning single-cell RNA-sequencing of 28 tumors, bulk genetic and expression analysis of 401 specimens from the The Cancer Genome Atlas (TCGA), functional approaches, and single-cell lineage tracing to derive a unified model of cellular states and genetic diversity in glioblastoma. We find that malignant cells in glioblastoma exist in four main cellular states that recapitulate distinct neural cell types, are influenced by the tumor microenvironment, and exhibit plasticity.
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