Single cell RNA sequencing of three IDHwt glioblastoma patient tumors
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ABSTRACT:
PROVIDER: PRJEB47680 | ENA |
REPOSITORIES: ENA
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Project description:Single cell RNA sequencing was performed to allow expression-based identification of tumor versus normal cells from glioblastoma patient specimens. Identified tumor cells were then analyzed to assess the expression tumor-cell specific expression of TRIM26, WWP2, and SOX2.
2021-09-25 | E-MTAB-9435 | biostudies-arrayexpress
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Project description:Single cell derived clones were extracted from four glioblastoma tumors using fluorescence activated cell sorting with CD15 and CD133 markers. Unsorted bulk tumors were also derived. Genotyping and copy number analysis was carried out for each tumor separately. Patient blood was used as control for three tumors while the fourth tumor had no blood available and a control cohort of 226 individuals was used for the latter (see Silversides, C.K., et al., Rare copy number variations in adults with tetralogy of Fallot implicate novel risk gene pathways. PLoS genetics, 2012. 8(8): p. e1002843.)
2015-01-03 | E-MTAB-2694 | biostudies-arrayexpress
Project description:Single Cell RNA-seq of Glioblastoma Tumors and GBOs
| PRJNA595364 | ENA
Project description:Abstract. Background: Glioblastoma is the most common primary malignancy of the central nervous system with dismal prognosis. Differential gene expression classifies IDH-wildtype glioblastoma into three subtypes: proneural, mesenchymal and classical. Dasatinib, an inhibitor of the proto-oncogene tyrosine-protein kinase SRC, is one of many therapeutics that, despite promising preclinical results, has failed to improve overall survival in glioblastoma patients in clinical trials. We examined whether glioblastoma subtypes differ in their response to dasatinib therapy and could hence be used for patient enrichment strategies in clinical trials. Methods: We carried out in silico analyses of the TCGA glioblastoma gene expression data and single-cell RNA-Seq data, in combination with in vitro experiments using glioblastoma stem-like cells (GSCs) derived from primary patient tumors with complimentary gene expression profiling and immunohistochemistry analyses of tumor samples. Results: Patients suffering from the mesenchymal subtype of glioblastoma showed higher SRC pathway activation based on gene expression profiling, and accordingly, mesenchymal cells were more sensitive to SRC inhibition by dasatinib compared to proneural and classical cells. Furthermore, SERPINH1, a heat-shock protein relevant in many cancer entities, was shown to highly correlate with dasatinib response and with the mesenchymal subtype. Notably, SRC phosphorylation status was not able to reliably predict response to dasatinib treatment. Conclusion: This work highlights the need for rational methods of patient selection for clinical trials, and retrospectively sheds light on a possible gene expression subtype-led patient stratification strategy that could have improved the outcome of SRC inhibition in patients and could have implications for future trials.
2020-10-20 | GSE159607 | GEO
Project description:Abstract. Background: Glioblastoma is the most common primary malignancy of the central nervous system with dismal prognosis. Differential gene expression classifies IDH-wildtype glioblastoma into three subtypes: proneural, mesenchymal and classical. Dasatinib, an inhibitor of the proto-oncogene tyrosine-protein kinase SRC, is one of many therapeutics that, despite promising preclinical results, has failed to improve overall survival in glioblastoma patients in clinical trials. We examined whether glioblastoma subtypes differ in their response to dasatinib therapy and could hence be used for patient enrichment strategies in clinical trials. Methods: We carried out in silico analyses of the TCGA glioblastoma gene expression data and single-cell RNA-Seq data, in combination with in vitro experiments using glioblastoma stem-like cells (GSCs) derived from primary patient tumors with complimentary gene expression profiling and immunohistochemistry analyses of tumor samples. Results: Patients suffering from the mesenchymal subtype of glioblastoma showed higher SRC pathway activation based on gene expression profiling, and accordingly, mesenchymal cells were more sensitive to SRC inhibition by dasatinib compared to proneural and classical cells. Furthermore, SERPINH1, a heat-shock protein relevant in many cancer entities, was shown to highly correlate with dasatinib response and with the mesenchymal subtype. Notably, SRC phosphorylation status was not able to reliably predict response to dasatinib treatment. Conclusion: This work highlights the need for rational methods of patient selection for clinical trials, and retrospectively sheds light on a possible gene expression subtype-led patient stratification strategy that could have improved the outcome of SRC inhibition in patients and could have implications for future trials.
2020-10-20 | GSE159605 | GEO
Project description:Glioblastoma is the most aggressive and lethal malignant brain tumor. miRNA expression profiling could be useful in improving the classification of tumors and predicting their behavior. In this study, the miRNA expression patterns in glioblastoma tumor tissues and adjacent normal tissues were identified through expression profiling of a patient with glioblastoma. The results will hopefully enhance our understandings of the epigentic changes in glioblastoma progression and provide candidates for miRNAs-based targeting tharapy. A paired miRNAs tumor tissues and adjacent tissues of a glioblastoma patient was used in this study. miRNAs were isolated using miRNeasy FFPE Kit (Qiagen). Profiling was established by applying the Agilent human miRNA Microarray (8 M-CM-^W 60K, v16.0) (Agilent Technologies).
2014-09-17 | E-GEOD-61445 | biostudies-arrayexpress
Project description:Analysis of glioblastoma tissue and corresponding glioblastoma organoids by single cell RNA sequencing.
2019-12-26 | GSE141946 | GEO
Project description:Abstract from manuscript Glioblastoma develops an immunosuppressive microenvironment that fosters tumorigenesis and resistance to current therapeutic strategies. Here we use multiplexed tissue imaging and single-cell RNA-sequencing to characterize the composition, spatial organization, and clinical significance of extracellular purinergic signaling in glioblastoma. We show that glioblastoma exhibit strong expression of CD39 and CD73 ectoenzymes, correlating with increased adenosine levels. Microglia are the predominant source of CD39, while CD73 is principally expressed by tumor cells, particularly in tumors with amplification of EGFR and astrocyte-like differentiation. Spatially-resolved single-cell analyses demonstrate strong spatial correlation between tumor CD73 and microglial CD39, and that their spatial proximity is associated with poor clinical outcomes. Together, this data reveals that tumor CD73 expression correlates with tumor genotype, lineage differentiation, and functional states, and that core purine regulatory enzymes expressed by neoplastic and tumor-associated myeloid cells interact to promote a distinctive adenosine-rich signaling niche and immunosuppressive microenvironment potentially amenable to therapeutic targeting.
2022-06-27 | ST002203 | MetabolomicsWorkbench