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Gene expression data from pilocytic astrocytoma tumour samples and normal cerebellum controls

ABSTRACT: Pilocytic astrocytomas (PA) are the most common brain tumor in pediatric patients and can cause significant morbidity, including chronic neurological deficiencies. They are characterized by activating alterations in the mitogen-activated protein kinase (MAPK) pathway, but little else is known about their development. To further define their molecular development, we analysed the global DNA methylation profiles of 61 PAs and 6 normal cerebellum samples and integrated this data with transcriptome profiling. These data revealed two subgroups of PA that separate according to tumor location (infratentorial versus supratentorial), and identified key neural developmental genes that are differentially methylated between the two groups. Significant expression differences were identified for the majority of differentially methylated genes, and these were unexpectedly associated with a strong positive correlation between methylation and expression. We also identified a large number of differentially methylated/expressed genes between cerebellar PAs and normal cerebellum, which included additional developmental genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE44971 | GEO | 2013/06/12

SECONDARY ACCESSION(S): PRJNA192667

REPOSITORIES: GEO

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Gene expression data from pilocytic astrocytoma tumour samples and normal cerebellum controls

Project description:Pilocytic astrocytomas (PA) are the most common brain tumor in pediatric patients and can cause significant morbidity, including chronic neurological deficiencies. They are characterized by activating alterations in the mitogen-activated protein kinase (MAPK) pathway, but little else is known about their development. To further define their molecular development, we analysed the global DNA methylation profiles of 61 PAs and 6 normal cerebellum samples and integrated this data with transcriptome profiling. These data revealed two subgroups of PA that separate according to tumor location (infratentorial versus supratentorial), and identified key neural developmental genes that are differentially methylated between the two groups. Significant expression differences were identified for the majority of differentially methylated genes, and these were unexpectedly associated with a strong positive correlation between methylation and expression. We also identified a large number of differentially methylated/expressed genes between cerebellar PAs and normal cerebellum, which included additional developmental genes. Total RNA from 49 PA tumour samples and 9 normal cerebellum samples (from commercial sources) were hybridised to the Affymetrix HG U133 Plus 2.0 microarrays.

2013-06-12 | E-GEOD-44971 | biostudies-arrayexpress

DNA methylation data from pilocytic astrocytoma tumor samples and normal cerebellum controls

Project description:Pilocytic astrocytomas (PA) are the most common brain tumor in pediatric patients and can cause significant morbidity, including chronic neurological deficiencies. They are characterized by activating alterations in the mitogen-activated protein kinase (MAPK) pathway, but little else is known about their development. To map the global DNA methylation profiles of these tumors, we analysed 61 PAs and 6 normal cerebellum samples using Illumina's Infinium HumanMethylation450 BeadChips. These data revealed two subgroups of PA that separate according to tumor location (infratentorial versus supratentorial), and identified key neural developmental genes that are differentially methylated between the two groups. Integration with transcriptome microarray data highlighted significant expression differences, which were unexpectedly associated with a strong positive correlation between methylation and expression. Differentially methylated probes were often identified within the gene body and/or regions up- or downstream of the gene, rather than at the transcription start site. We also identified a large number of differentially methylated genes between cerebellar PAs and normal cerebellum, which included additional developmental genes. Bisulphite converted DNA from 61 PA tumours (fresh frozen) and 6 normal cerebellum (from commerical sources) were hybridised to the Illumina Infinium HumanMethylation450 BeadChips.

2013-06-12 | E-GEOD-44684 | biostudies-arrayexpress

DNA methylation data from pilocytic astrocytoma tumor samples and normal cerebellum controls

Project description:Pilocytic astrocytomas (PA) are the most common brain tumor in pediatric patients and can cause significant morbidity, including chronic neurological deficiencies. They are characterized by activating alterations in the mitogen-activated protein kinase (MAPK) pathway, but little else is known about their development. To map the global DNA methylation profiles of these tumors, we analysed 61 PAs and 6 normal cerebellum samples using Illumina's Infinium HumanMethylation450 BeadChips. These data revealed two subgroups of PA that separate according to tumor location (infratentorial versus supratentorial), and identified key neural developmental genes that are differentially methylated between the two groups. Integration with transcriptome microarray data highlighted significant expression differences, which were unexpectedly associated with a strong positive correlation between methylation and expression. Differentially methylated probes were often identified within the gene body and/or regions up- or downstream of the gene, rather than at the transcription start site. We also identified a large number of differentially methylated genes between cerebellar PAs and normal cerebellum, which included additional developmental genes.

2013-06-12 | GSE44684 | GEO

Pilocytic astrocytoma

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

Transcription profiling of human pilocytic astrocytoma to develop molecular signatures

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

Transcriptional profiles of pilocytic astrocytoma

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.

2015-10-30 | GSE73066 | GEO

Transcriptional profiles of pilocytic astrocytoma

2015-10-30 | E-GEOD-73066 | biostudies-arrayexpress

Molecular refinement of pilocytic astrocytoma in adult patients

Project description:Genome wide DNA methylation profiling of 79 histologically diagnosed pilocytic astrocytoma (PA) in adults, of which we were able to upload 71 samples. The methylation profiling indicates that many of the histologically diagnosed PA do not show a concordant methylation classification.

2024-01-01 | GSE244566 | GEO

Proteogenomics reveals two distinct biological pilocytic astrocytoma subgroups

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

Proteogenomics reveals two distinct biological pilocytic astrocytoma subgroups

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.

2023-09-20 | GSE210353 | GEO

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