Ontology highlight
ABSTRACT:
PROVIDER: PRJNA762316 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15838573.fastq.gz | Fastqsanger.gz | |||
| SRR15838574.fastq.gz | Fastqsanger.gz | |||
| SRR15838575.fastq.gz | Fastqsanger.gz | |||
| SRR15838576.fastq.gz | Fastqsanger.gz | |||
| SRR15838577.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 16 |
Similar Datasets
Project description:We have generated and comprehensively characterized 30 patient-derived orthotopic xenograft (PDOX) models and 7 cell lines represeneting subgroups of medulloblastoma, high-grade glioma, atypical teratoid/rhabdoid tumor, ependymoma and pineoblastoma.
2018-10-25 | GSE99961 | GEO
Project description:We have generated and comprehensively characterized 30 patient-derived orthotopic xenograft (PDOX) models and 7 cell lines represeneting subgroups of medulloblastoma, high-grade glioma, atypical teratoid/rhabdoid tumor, ependymoma and pineoblastoma.
2018-10-25 | GSE99994 | GEO
Project description:We used a machine-learning framework to systematically discover prognostic long non-coding RNAs (lncRNAs) in 9,446 patient tumors of 30 types. We identified 166 prognostic lncRNAs whose transcript abundance correlated with patient risk and improved the performance of common clinical variables and molecular tumor subtypes. In lower-grade gliomas, discrete activation of HOXA10-AS indicated poor patient prognosis, neurodevelopmental pathway activation and a transcriptomic similarity to glioblastomas. To understand the role of HOXA10-AS in the hallmark pathways of glioma, we used RNA-seq to profile the patient-derived G797 glioma cells with siRNA-mediated HOXA10-AS knockdown (KD) and pcDNA3.1-Neomycin-mediated overexpression (OE) phenotypes. Both KD and OE were validated using RT-PCR. We found a pronounced transcriptional response to HOXA10-AS deregulation with 1,715 and 408 differentially expressed protein-coding genes detected in KD and OE cells, respectively (FDR < 0.05, absolute FC > 1.2), including 23 genes detected in both experiments, as well as known genes involved in glioma biology and Hippo signaling. Our study underscores the pan-cancer potential of the non-coding transcriptome for developing molecular biomarkers and innovative therapeutic strategies.
2021-10-02 | E-MTAB-10944 | biostudies-arrayexpress
Project description:Diffuse gliomas represent the most prevalent class of primary brain tumor. Despite significant recent advances in the understanding of glioblastoma (WHO IV), its most malignant subtype, lower-grade (WHO II and III) glioma variants remain comparatively understudied, especially in light of their notably variable clinical behavior. To examine the foundations of this heterogeneity, we performed multidimensional molecular profiling, including global transcriptional analysis, on 101 lower-grade diffuse astrocytic gliomas collected at our own institution, and validated our findings using publically available gene expression and copy number data from large independent patient cohorts. We found that IDH mutational status delineated molecularly and clinically distinct glioma subsets, with IDH mutant (IDH mt) tumors exhibiting TP53 mutations, PDGFRA overexpression, and prolonged survival, and IDH wild-type (IDH wt) tumors exhibiting EGFR amplification, PTEN loss, and unfavorable disease outcome. Furthermore, global expression profiling revealed three robust molecular subclasses within lower-grade diffuse astrocytic gliomas, two of which were predominantly IDH mt and one almost entirely IDH wt. IDH mt subclasses were distinguished from each other on the basis of TP53 mutations, DNA copy number abnormalities, and links to distinct stages of neurogenesis in the subventricular zone (SVZ). This latter finding implicates discrete pools of neuroglial progenitors as cells of origin for the different subclasses of IDH mt tumors. In summary, we have elucidated molecularly distinct subclasses of lower-grade diffuse astrocytic glioma that dictate clinical behavior and demonstrate fundamental associations with both IDH mutational status and neuroglial developmental stage. 80 tumor samples, one normal tissue sample (brain)
2012-02-24 | E-GEOD-35158 | biostudies-arrayexpress
Project description:To understand if the generation of xenograft and organoid models of breast cancer alters DNA methylation, we compared the genome-wide methylation profile of matching patient tumors, patient derived xenografts, and organoid cultures derived from xenografts.
2022-01-09 | GSE186747 | GEO
Project description:Expression profiling of lower-grade diffuse astrocytic glioma
| PRJNA150783 | ENA
Project description:The blood-brain barrier (BBB) plays important roles in brain tumor pathogenesis and treatment response, yet our understanding of its function and heterogeneity within or across brain tumor types remains poorly characterized. Here we analyze the neurovascular unit (NVU) of pediatric high-grade glioma (pHGG) and diffuse midline glioma (DMG) using patient derived xenografts and natively forming glioma mouse models. We show tumor-associated vascular differences between these glioma subtypes, and parallels between PDX and mouse model systems, with DMG models maintaining a more normal vascular architecture, BBB function and endothelial transcriptional program relative to pHGG models. Unlike prior work in angiogenic brain tumors, we find that expression of secreted Wnt antagonists do not alter the tumor-associated vascular phenotype in DMG tumor models. Together, these findings highlight vascular heterogeneity between pHGG and DMG and differences in their response to alterations in developmental BBB signals that may participate in driving these pathological differences.
2021-09-01 | GSE179372 | GEO
Project description:Li-Fraumeni syndrome (LFS) is a hereditary cancer predisposition syndrome caused by germline mutations in TP53. TP53 is the most common mutated gene in human cancer occurring in 30-50% of glioblastomas (GBM). Here, we highlight a precision medicine platform to identify potential targets for a GBM patient with LFS. We used novel comparative transcriptomics analysis to identify genes that are uniquely overexpressed in a LFS GBM patient relative to a cancer compen-dium of 12,747 tumor RNA sequencing datasets including 200 GBMs. We then used ex vivo pa-tient derived organoid (PDO) viability assays with 4 patient derived cell lines to test efficacy of our identified target. Our comparative transcriptomics bioinformatics pipeline identified that STAT1 and STAT2 were significantly overexpressed in our patient indicating ruxolitinib, a Janus kinase 1 and 2 inhibitor, as a potential therapy. In our institutional high-grade glioma cohort of 45 patients, the LFS patient had the highest level of STAT1 and STAT2 expression. STAT1 and STAT2 expression levels in 4 cell lines derived from patients (including the LFS patient) corre-lated with levels identified in the respective parent tumors. Using 2D and 3D assays from pa-tient derived cells, our LFS patient of interest was among the most sensitive to ruxolitinib in comparison to patients with lower STAT1 and STAT2 expression levels. Additionally a sphe-roid-based drug screening assay (3D-PREDICT) was performed and used to identify further therapeutic targets. This manuscript supports the use of comparative transcriptomics to identify personalized therapeutic targets in a functional precision medicine platform for malignant brain tumors.
2021-12-02 | GSE188739 | GEO
Project description:We describe the case of a low grade glioma in a 37 year old male patient showing an amplification of KRAS
2016-11-18 | GSE89982 | GEO
Project description:Advanced prostate cancer is a highly heterogenous disease with few in vitro models. We report generation of seven novel 3D organoid lines of patient-derived prostate cancer. We determine the copy number alterations of these lines using array CGH. They contain may classic alterations of prostate cancer such as lost of the short arm of chromosome 8 and gain of the long arm of chromosome 8. In addition, we found homozygous deleteion of tumor suppressor PTEN and CHD1 as well as the TMPRSS2-ERG interstitial deletion. Prostate cancer organoid lines, ~2 months after in vitro propagation, were used for profiling on Agilent 1M aCGH arrays per manufacturer's instructions. A pooled reference normal DNA was used as the reference.
2014-09-09 | E-GEOD-60612 | biostudies-arrayexpress