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ABSTRACT:
PROVIDER: PRJNA178529 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The Genomics of Pilocytic Astrocytoma Formation in Neurofibromatosis type 1
| PRJNA178528 | ENA
Project description:Transcriptional profiles of pilocytic astrocytoma
| PRJNA295990 | ENA
Project description:Pilocytic astrocytomas (PAs) are the most common glioma in children. While many PAs; are slow growing or clinically indolent, others exhibit more aggressive features with tumor; recurrence and death. In order to identify genetic signatures that might predict PA clinical; behavior, we performed gene expression profiling on 41 primary PAs arising sporadically and in; patients with neurofibromatosis type 1 (NF1). While no expression signature was found that; could discriminate clinically-aggressive or recurrent tumors from more indolent cases, PAs; arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we; identified a gene expression signature that stratified PAs by location (supratentorial versus; infratentorial). Experiment Overall Design: 41 pilocytic astrocytoma samples were analyzed.
2008-06-14 | E-GEOD-5675 | biostudies-arrayexpress
Project description:Pilocytic astrocytomas (PAs) are the most common glioma in children. While many PAs are slow growing or clinically indolent, others exhibit more aggressive features with tumor recurrence and death. In order to identify genetic signatures that might predict PA clinical behavior, we performed gene expression profiling on 41 primary PAs arising sporadically and in patients with neurofibromatosis type 1 (NF1). While no expression signature was found that could discriminate clinically-aggressive or recurrent tumors from more indolent cases, PAs arising in patients with NF1 did exhibit a unique gene expression pattern. In addition, we identified a gene expression signature that stratified PAs by location (supratentorial versus infratentorial). Keywords: Human, WHO grade I, Brain tumor, Pilocytic astrocytoma, NF1
2007-03-14 | GSE5675 | GEO
Project description:<p>Neurofibromatosis type 1 (NF1) inherited cancer predisposition syndrome is one of the most common autosomal dominant tumor predisposition syndromes in which affected individuals develop brain tumors. These low-grade glial neoplasms (pilocytic astrocytomas) typically arise in children younger than 7 years of age and are hypothesized to result from a combination of germline and acquired somatic NF1 tumor suppressor gene mutations. In this study, whole genome sequence analysis was performed on three NF1-associated pilocytic astrocytoma tumors (NF1-PA) and matched normal blood samples to establish the genomic landscape of NF1-PA. These data support the existence of multiple distinct mechanisms (mutation, LOH, and methylation) underlying somatic NF1 inactivation in NF1-PA tumors.</p>
| phs000563 | dbGaP
Project description:DNA methylation data from pilocytic astrocytoma tumor samples and normal cerebellum controls
| PRJNA190897 | ENA
Project description:Gene expression data from pilocytic astrocytoma tumour samples and normal cerebellum controls
| PRJNA192667 | ENA
Project description:Pilocytic astrocytoma is the most common type of brain tumor in pediatric population, generally connected with favorable prognosis, although recurrences or dissemination sometimes are also observed. For tumors originating in supra- or infratentorial location different molecular background was suggested but plausible correlations between transcriptional profile and radiological features and/or clinical course are still undefined. The purpose of this study was to identify gene expression profiles related to the most frequent locations of this tumor, subtypes based on various radiological features and clinical pattern of the disease. According to the radiological features presented on MRI, all cases were divided into four subtypes: solid or mainly solid, cystic with an enhancing cyst wall, cystic with a non-enhancing cyst wall and solid with central necrosis. Bioinformatic analyses showed that gene expression profile of pilocytic astrocytoma highly depends on the tumor location. Most prominent differences were noted for IRX2, PAX3, CXCL14, LHX2, SIX6, CNTN1 and SIX1 genes expression which could distinguish pilocytic astrocytomas of different location even within supratentorial region. Analysis of the genes potentially associated between radiological features showed much weaker transcriptome differences. Single genes showed association with the tendency to progression. Here we showed that pilocytic astrocytomas of three different locations could be precisely differentiated on the basis of gene expression level but their transcriptional profiles did not strongly reflect the radiological appearance of the tumor or the course of the disease. Gene expression profiling was performed in 47 pilocytic astrocytoma tumours characterized by different localization, radiology and progression.
2015-10-30 | E-GEOD-73066 | biostudies-arrayexpress
Project description:Pilocytic astrocytoma (PA) is the most common pediatric brain tumor and driven by aberrant MAPK signaling, typically mediated by BRAF alterations. While five-year overall survival rates exceed 95%, tumor recurrence constitutes a major clinical challenge in incompletely resected tumors despite chemotherapeutic or radiation based therapies. Therefore, we used proteogenomics to discern the biological heterogeneity of PA to improve classification of this tumor entity and identify novel therapeutic targets. Our proteogenomics approach integrates RNA sequencing and LC/MS-based proteomic profiling data from a cohort of 58 confirmed, primary PA samples. An integrative genomics approach was conducted to discern the biological heterogeneity of PA and to identify aberrant pathway activation in these biological subgroups. In summary, Pilocytic astrocytomas segregate into two groups where younger patients are significantly associated with Group 1. Importantly, we validate the two distinct biological subgroups in two non-overlapping cohorts. The biological heterogeneity seen here may improve biological classification and reveal novel therapeutic targets specifically useful for non-resectable tumors with high risk of recurrent or progressive disease.
2023-10-24 | PXD035773 | Pride