DNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-22866
PROVIDER: PRJNA128155 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE22866: DNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Agilent Expression Study) GSE22867: DNA Methylation Profiling of Glioblastoma: Impact on Gene Expression and Clinical Outcome (Illumina) Refer to individual Series
2011-06-29 | E-GEOD-22891 | biostudies-arrayexpress
Project description:Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for 40 newly diagnosed glioblastoma patients. We have also screened for associations between CpG sites methylation levels and overall survival in a cohort of 50 patients uniformly treated with radiotherapy and chemotherapy with concomitant and adjuvant temozolomide (STUPP protocol). The methylation analysis identified 616 CpG sites differentially methylated between glioblastoma and control brain, a quarter being differentially expressed in a concordant way. Among these concordant CpG sites, 13 genes displayed, within our glioblastoma cohort, an inverse correlation between promoter methylation and expression levels: B3GNT5, FABP7, ZNF217, BST2, OAS1, SLC13A5, GSTM5, ME1, UBXD3, TSPYL5, FAAH, C7orf13, and C3orf14. The expression of these genes may be tightly regulated by epigenetic mechanisms. The survival analysis identified six CpG sites associated with overall survival. The SOX10 promoter methylation status (two CpG sites) stratifies the patients in a way similar to MGMT with improved performance based on Area Under the Curve criteria (0.78 vs. 0.71, p-value < 5.10-4). The methylation status of FNDC3B, TBX3, DGKI, and FSD1 promoters identify patients with MGMT methylated tumors non-responding to STUPP treatment (p-value < 1.10-4). These markers have a potential impact on therapeutic decision. 55 glioblastoma samples and 3 control brain samples were analysed.
2011-01-19 | E-GEOD-22867 | biostudies-arrayexpress
Project description:Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for 40 newly diagnosed glioblastoma patients. We have also screened for associations between CpG sites methylation levels and overall survival in a cohort of 50 patients uniformly treated with radiotherapy and chemotherapy with concomitant and adjuvant temozolomide (STUPP protocol). The methylation analysis identified 616 CpG sites differentially methylated between glioblastoma and control brain, a quarter being differentially expressed in a concordant way. Among these concordant CpG sites, 13 genes displayed, within our glioblastoma cohort, an inverse correlation between promoter methylation and expression levels: B3GNT5, FABP7, ZNF217, BST2, OAS1, SLC13A5, GSTM5, ME1, UBXD3, TSPYL5, FAAH, C7orf13, and C3orf14. The expression of these genes may be tightly regulated by epigenetic mechanisms. The survival analysis identified six CpG sites associated with overall survival. The SOX10 promoter methylation status (two CpG sites) stratifies the patients in a way similar to MGMT with improved performance based on Area Under the Curve criteria (0.78 vs. 0.71, p-value < 5.10-4). The methylation status of FNDC3B, TBX3, DGKI, and FSD1 promoters identify patients with MGMT methylated tumors non-responding to STUPP treatment (p-value < 1.10-4). These markers have a potential impact on therapeutic decision. 40 glioblastoma samples and 6 control brain samples were analysed. 2 distinct series of hybridizations were carried out, each containing GBMs and control brains.
2011-01-19 | E-GEOD-22866 | biostudies-arrayexpress
Project description:Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for 40 newly diagnosed glioblastoma patients. We have also screened for associations between CpG sites methylation levels and overall survival in a cohort of 50 patients uniformly treated with radiotherapy and chemotherapy with concomitant and adjuvant temozolomide (STUPP protocol). The methylation analysis identified 616 CpG sites differentially methylated between glioblastoma and control brain, a quarter being differentially expressed in a concordant way. Among these concordant CpG sites, 13 genes displayed, within our glioblastoma cohort, an inverse correlation between promoter methylation and expression levels: B3GNT5, FABP7, ZNF217, BST2, OAS1, SLC13A5, GSTM5, ME1, UBXD3, TSPYL5, FAAH, C7orf13, and C3orf14. The expression of these genes may be tightly regulated by epigenetic mechanisms. The survival analysis identified six CpG sites associated with overall survival. The SOX10 promoter methylation status (two CpG sites) stratifies the patients in a way similar to MGMT with improved performance based on Area Under the Curve criteria (0.78 vs. 0.71, p-value < 5.10-4). The methylation status of FNDC3B, TBX3, DGKI, and FSD1 promoters identify patients with MGMT methylated tumors non-responding to STUPP treatment (p-value < 1.10-4). These markers have a potential impact on therapeutic decision.
2011-01-19 | GSE22867 | GEO
Project description:Genome-scale measurements of DNA methylation levels are necessary to decipher the epigenetic events involved in glioblastoma aggressive phenotype, and to guide new therapeutic strategies. In that purpose, we performed a whole genome integrative analysis of the methylation and expression profiles for 40 newly diagnosed glioblastoma patients. We have also screened for associations between CpG sites methylation levels and overall survival in a cohort of 50 patients uniformly treated with radiotherapy and chemotherapy with concomitant and adjuvant temozolomide (STUPP protocol). The methylation analysis identified 616 CpG sites differentially methylated between glioblastoma and control brain, a quarter being differentially expressed in a concordant way. Among these concordant CpG sites, 13 genes displayed, within our glioblastoma cohort, an inverse correlation between promoter methylation and expression levels: B3GNT5, FABP7, ZNF217, BST2, OAS1, SLC13A5, GSTM5, ME1, UBXD3, TSPYL5, FAAH, C7orf13, and C3orf14. The expression of these genes may be tightly regulated by epigenetic mechanisms. The survival analysis identified six CpG sites associated with overall survival. The SOX10 promoter methylation status (two CpG sites) stratifies the patients in a way similar to MGMT with improved performance based on Area Under the Curve criteria (0.78 vs. 0.71, p-value < 5.10-4). The methylation status of FNDC3B, TBX3, DGKI, and FSD1 promoters identify patients with MGMT methylated tumors non-responding to STUPP treatment (p-value < 1.10-4). These markers have a potential impact on therapeutic decision.
2011-01-19 | GSE22866 | GEO
Project description: Not available
| S-EPMC3018478 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below.
2011-06-29 | GSE22891 | GEO
Project description: Not available
| S-ECPF-GEOD-22866 | biostudies-other
Project description:We aimed to identify a clinically useful biomarker using DNA methylation-based information to optimize the management of glioblastoma (GBM) patients. We identified a novel six-CpGs signature that predicts the clinical outcome in GBM. The methylation profiling of 79 GBM patients has been used as a validation cohort to demonstrate the performance and the robustness of the identified six-CpGs signature. The status of the âMGMTâ biomarker, traditionally used by clinicians to predict survival in GBM, is also indicated per sample.
2017-12-15 | E-MTAB-4969 | biostudies-arrayexpress
Project description:Host methylation predicts SARS-CoV-2 infection and clinical outcome
| PRJNA703929 | ENA