Transcriptomic profiling of a glioblastoma multiforme patient with matched control brain tissue
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Chen LY
PROVIDER: S-ECPF-GEOD-33328 | biostudies-other | 2012 Mar
REPOSITORIES: biostudies-other
Similar Datasets
Project description:To investigate differential gene expression, we analyzed the entire transcriptomes of tumor and matched normal brain tissues obtained from a patient who had glioblastoma multiforme. We extracted and sequenced the mRNA using Illumina GA2 platform. The raw data was analyzed using our recently developed program called RNASEQR, as well as ERANGE, MapSplice, SpliceMap, and TopHat.
2011-10-30 | GSE33328 | GEO
Project description:To investigate differential gene expression, we analyzed the entire transcriptomes of tumor and matched normal brain tissues obtained from a patient who had glioblastoma multiforme. We extracted and sequenced the mRNA using Illumina GA2 platform. The raw data was analyzed using our recently developed program called RNASEQR, as well as ERANGE, MapSplice, SpliceMap, and TopHat. Tumor and matched control brain tissues were obtained from a Han-Chinese patient.
2011-10-30 | E-GEOD-33328 | biostudies-arrayexpress
Project description:We used microarrays to investigate the whole genome gene expression level changes of LncRNAs in human Glioblastoma multiforme (GBM) and normal brain tissues, and try to find out some LncRNA associated with the tumorigenesis of GBM. The human LncRNA microarray analysis of 9 samples (5 GBM and 4 normal brain tissues) were completed. Total RNA from each sample was quantified and RNA integrity was assessed using standard denaturing agarose gel electrophoresis. Total RNA of each sample was used for labeling and array hybridization. Array scanning using the Agilent Scanner G250C. Scanned images were then imported into NimbleScan software (version 2.5) for expression data analysis. Differentially expressed LncRNAs were filtered out for further study.
| S-ECPF-GEOD-51146 | biostudies-other
Project description:Sequencing studies have provided novel insights into the heterogeneous molecular landscape of glioblastoma (GBM), unveiling a subset of patients with gene fusions. Tissue biopsy is highly invasive, limited by sampling frequency and incompletely representative of intra-tumor heterogeneity. Extracellular vesicle-based liquid biopsy provides a minimally invasive alternative to diagnose and monitor tumor-specific molecular aberrations in patient biofluids. Here, we used targeted RNA sequencing to screen GBM tissue and the matched plasma of patients (n = 9) for RNA fusion transcripts. We identified two novel fusion transcripts in GBM tissue and five novel fusions in the matched plasma of GBM patients. The fusion transcripts FGFR3-TACC3 and VTI1A-TCF7L2 were detected in both tissue and matched plasma. A longitudinal follow-up of a GBM patient with a FGFR3-TACC3 positive glioma revealed the potential of monitoring RNA fusions in plasma. In summary, we report a sensitive RNA-seq-based liquid biopsy strategy to detect RNA level fusion status in the plasma of GBM patients.
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Project description:Glioblastoma multiforme (GBM) (grade IV astrocytoma) has been assumed to be the most fatal type of glioma with low survival and high recurrence rates, even after prompt surgical removal and aggressive courses of treatment. Transcriptional reprogramming to stem cell-like state could explain some of the deregulated molecular signatures in GBM disease. The present study aimed to quantify the expression profiling of longevity-related transcriptional factors SOX2, OCT3/4, and NANOG to evaluate their diagnostic and performance values in high-grade gliomas. Forty-four specimens were obtained from glioblastoma patients (10 females and 34 males). Quantitative real-time polymerase chain reaction was applied for relative gene expression quantification. In silico network analysis was executed. NANOG and OCT3/4 mRNA expression levels were significantly downregulated while that of SOX2 was upregulated in cancer compared to noncancer tissues. Receiver operating characteristic curve analysis showed high diagnostic performance of NANOG and OCT3/4 than SOX2. However, the aberrant expressions of the genes studied were not associated with the prognostic variables in the current population. In conclusion, the current study highlighted the aberrant expression of certain longevity-associated transcription factors in glioblastoma multiforme which may direct the attention towards new strategies in the treatment of such lethal disease.
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Project description:Despite recent large-scale profiling efforts, the best prognostic predictor of glioblastoma multiforme (GBM) remains the patient's age at diagnosis. We describe a global pattern of tumor-exclusive co-occurring copy-number alterations (CNAs) that is correlated, possibly coordinated with GBM patients' survival and response to chemotherapy. The pattern is revealed by GSVD comparison of patient-matched but probe-independent GBM and normal aCGH datasets from The Cancer Genome Atlas (TCGA). We find that, first, the GSVD, formulated as a framework for comparatively modeling two composite datasets, removes from the pattern copy-number variations (CNVs) that occur in the normal human genome (e.g., female-specific X chromosome amplification) and experimental variations (e.g., in tissue batch, genomic center, hybridization date and scanner), without a-priori knowledge of these variations. Second, the pattern includes most known GBM-associated changes in chromosome numbers and focal CNAs, as well as several previously unreported CNAs in >3% of the patients. These include the biochemically putative drug target, cell cycle-regulated serine/threonine kinase-encoding TLK2, the cyclin E1-encoding CCNE1, and the Rb-binding histone demethylase-encoding KDM5A. Third, the pattern provides a better prognostic predictor than the chromosome numbers or any one focal CNA that it identifies, suggesting that the GBM survival phenotype is an outcome of its global genotype. The pattern is independent of age, and combined with age, makes a better predictor than age alone. GSVD comparison of matched profiles of a larger set of TCGA patients, inclusive of the initial set, confirms the global pattern. GSVD classification of the GBM profiles of an independent set of patients validates the prognostic contribution of the pattern.
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Project description:Hypothetically the intratumor genomic heterogeneity has the potential to foster the tumor-infiltrating lymphocytes (TILs) diversity or activity, but no one has directly connected them by simultaneously investigating somatic mutations, TILs diversity and immune response activity. We have performed whole-exome sequencing, immune repertoire sequencing and gene expression profiling analysis simultaneously on ten spatially separated tumor samples obtained from two tumor bulks (the primary tumor and its metastatic offspring) of a glioblastoma multiforme (GBM) patient as well as his peripheral blood. We found that although the multi-region samples from one tumor shared more common mutations than those from different ones, the TIL populations did not. The TILs repertoire diversity was not significantly correlated with and the number of nonsynonymous mutations (Spearman's rank correlation, p = 0.4614), but it was highly related to the local immune status as it showed a significant positive correlation both with the local immune cytolytic activity and its down regulating factors. Furthermore, the tumor region having the highest TILs repertoire diversity was founded to show simultaneous local immune activation and suppression. A 20-gene signature was found to represent such contradictory local immune status. 50 GBM patients were stratified by the expression pattern of this signature in their tumors. Survival analysis suggested most of GBM patients (~80%) might be suffered from the simultaneous local immune activation and suppression status, which was unfavorable to patients’ prognoses (log-rank test, p = 0.012). This finding was validated when the similar analysis applied to the existing TCGA GBM dataset (log-rank test, p = 0.005). Through integration analysis of multi-omics data, we provided new insight into the complex relationship among the characteristics of TILs repertoire, somatic mutation pattern, and immune status.
2017-06-01 | GSE83300 | GEO
Project description:We present an exceptional case of a patient with hemimegalencephaly and secondary intractable epilepsy treated with vagus nerve stimulation (VNS) and subsequent glioblastoma development in the hemimegalencephalic hemisphere 6 years after surgery. VNS (at age 18 years) led to a 60% reduction of intractable seizures. However, symptoms of intracranial hypertension suddenly occurred 6 years after surgery. A computed tomography scan revealed a brain tumor in the hemimegalencephalic hemisphere. Pathologic examination confirmed glioblastoma multiforme. The genetic background of hemimegalencephaly is discussed here, with attention paid to the available data about the malignant transformation of malformations of cortical development (MCDs). The case points to the need for adequate clinical and radiologic follow-up care for patients with MCDs including hemimegalencephaly.
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Project description:MicroRNAs are short non-coding RNA molecules playing regulatory roles in animals and plants by repressing translation or cleaving RNA transcripts. The specific modulation of several microRNAs has been recently associated to some forms of human cancer, suggesting that these short molecules can represent a new class of genes involved in oncogenesis. In our study, we examined by microarray the global expression levels of 245 microRNAs in glioblastoma multiforme (GBM), the most frequent and malignant of primary brain tumors. The analysis of both glioblastoma tissues and glioblastoma cell lines allowed us to identify a group of microRNAs whose expression is significantly altered in this tumor. The most interesting results came from miR-221, strongly upregulated in glioblastoma and a set of brain-enriched miRNAs, miR-128, miR-181a, miR-181b, miR-181c, which are down-regulated in glioblastoma.
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Project description:Quantitative analysis of human glioblastoma multiforme (GBM) using Tandem Mass Tags (TMT) reagent. Mass spectra comprised with global proteome and phosphoproteome with standard channel.
2020-07-06 | PXD015545 | Pride