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Transcription profiling of human astrocytic tumours of grades I, II, III and IV

ABSTRACT: This study aims at investigating differential gene expression in human astrocytic tumours of grades I, II, III and IV. A total of 65 tumours were assessed using the Affymetrix U133A GeneChip. The study aims not only at discovering the main expression differences between astrocytic tumours of distinct histological grades but also wishes to correlate these findings with the known histopathological hallmarks of astrocytoma progression. Further, the study aims at correlating gene expression with previously obtained genomic information for several loci known to be involved in astrocytoma tumour progression.

ORGANISM(S): Homo sapiens

SUBMITTER: Petalidis Lawrence

PROVIDER: S-ECPF-GEOD-1993 | biostudies-other |

REPOSITORIES: biostudies-other

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Transcription profiling of human diffusely infiltrating astrocytic tumours, grades II, III and IV

Project description:This study aims at investigating differential gene expression in human diffusely infiltrating astrocytic tumours, grades II, III and IV. A total of 63 tumours were assessed using the Affymetrix U133A GeneChip. Samples comprised in this GEO submission are identical to those in submission GSE1993 with the exception of two pilocytic astrocytoma tumours (grade I) that have not been included. The study aims not only at discovering the main expression differences between astrocytic tumours of distinct histological grades but also wishes to correlate these findings with the known histopathological and biological hallmarks of astrocytoma progression. Further, the study aims at correlating gene expression with previously obtained genomic information for several loci known to be involved in astrocytoma tumour progression. Experiment Overall Design: A total of 63 tumours were assessed using the Affymetrix U133A GeneChip.

| S-ECPF-GEOD-2727 | biostudies-other

Transcription profiling of human astrocytic tumours of grades I, II, III and IV

Project description:This study aims at investigating differential gene expression in human astrocytic tumours of grades I, II, III and IV. A total of 65 tumours were assessed using the Affymetrix U133A GeneChip. The study aims not only at discovering the main expression differences between astrocytic tumours of distinct histological grades but also wishes to correlate these findings with the known histopathological hallmarks of astrocytoma progression. Further, the study aims at correlating gene expression with previously obtained genomic information for several loci known to be involved in astrocytoma tumour progression.

2008-06-12 | E-GEOD-1993 | biostudies-arrayexpress

Transcription profiling of human diffusely infiltrating astrocytic tumours, grades II, III and IV

2008-06-12 | E-GEOD-2727 | biostudies-arrayexpress

Transcription profiling of human grade II astrocytic tumor (astrocytomas) vs grade IV tumors (glioblastoma)

Project description:Comparison of grade II astrocytic tumor (astrocytomas) with grade IV tumors (glioblastoma)

| S-ECPF-MEXP-567 | biostudies-other

Transcription profiling of human grade II astrocytic tumor (astrocytomas) vs grade IV tumors (glioblastoma)

Project description:Comparison of grade II astrocytic tumor (astrocytomas) with grade IV tumors (glioblastoma)

2007-03-01 | E-MEXP-567 | biostudies-arrayexpress

Transcription profiling of human non ischemic cardiomyopathy (NICM)- (n=12) NYHA III-IV CHF patients

Project description: Not available

| S-DIXA-D-1174 | biostudies-other

Gene expression profiling of human ovarian tumours.

Project description:There is currently a lack of reliable diagnostic and prognostic markers for ovarian cancer. We established gene expression profiles for 120 human ovarian tumours to identify determinants of histologic subtype, grade and degree of malignancy. Unsupervised cluster analysis of the most variable set of expression data resulted in three major tumour groups. One consisted predominantly of benign tumours, one contained mostly malignant tumours, and one was comprised of a mixture of borderline and malignant tumours. Using two supervised approaches, we identified a set of genes that distinguished the benign, borderline and malignant phenotypes. These algorithms were unable to establish profiles for histologic subtype or grade. To validate these findings, the expression of 21 candidate genes selected from these analyses was measured by quantitative RT-PCR using an independent set of tumour samples. Hierarchical clustering of these data resulted in two major groups, one benign and one malignant, with the borderline tumours interspersed between the two groups. These results indicate that borderline ovarian tumours may be classified as either benign or malignant, and that this classifier could be useful for predicting the clinical course of borderline tumours. Immunohistochemical analysis also demonstrated increased expression of CD24 antigen in malignant versus benign tumour tissue. The data that we have generated will contribute to a growing body of expression data that more accurately define the biologic and clinical characteristics of ovarian cancers.

| S-EPMC2360705 | biostudies-literature

Differential gene expression in astrocytic tumours

2007-05-26 | GSE1993 | GEO

Predictors of subjective versus objective cognitive functioning in patients with stable grades II and III glioma.

Project description:BackgroundStudies in cancer and noncancer populations demonstrate lower than expected correlations between subjective cognitive symptoms and cognitive functioning as determined by standardized neuropsychological tests. This paper systematically examines the association between subjective and objective cognitive functioning in patients with low-grade glioma and the associations of these indicators of cognitive function with clusters of sociodemographic, clinical, and self-reported physical and mental health factors.MethodsMultiple regression analyses with the subjective and 2 objective indicators of cognitive functioning as dependent variables and 4 clusters of predictor variables were conducted in 169 patients with predominantly low-grade glioma.ResultsCorrelations between the subjective and the 2 objective cognitive indicators were negligible (0.04) to low (0.24). Objective cognitive deficits were predominantly associated with sociodemographic (older age, lower education, male sex) and clinical (left hemisphere tumor) variables, while lower ratings of subjective cognitive function were more closely related to self-reported mental health symptoms (fatigue, lower mental well-being), physical (motor) dysfunction and female sex. Self-reported communication deficits were associated significantly with both subjective and objective dysfunction.ConclusionsWe recommend that both subjective and objective measures of cognitive functioning, together with a measure of psychological distress, be used for comprehensive neuropsychological assessments of patients with glioma to determine which areas are most affected and which specific intervention strategies are most appropriate.

| S-EPMC4369705 | biostudies-literature

Expression and differential expression analysis of astrocytoma patient samples (WHO grades I and III) and primary glioblastoma (WHO grade IV)

Project description:Expression and differential expression analysis of astrocytoma patient samples (WHO grades I and III) and primary glioblastoma (WHO grade IV). Expression and differential expression was assessed by using an Agilent custom microarray (244K). The custom array contains probes for genomic regions that have been found to be differentially expressed (i) throughout cell cycle progression, (ii) in response to the anti-proliferative and pro-apoptotic p53 pathway, and (iii) the anti-apoptotic and pro-proliferative STAT-3 pathway by employing TAS (Kampa et al. "Novel RNAs identified from an in-depth analysis of the transcriptome of human chromosomes 21 and 22". Genome Research, 14:331-42, 2004). In addition, the Agilent custom array (244K) interrogates probes for genomic regions predicted to contain a conserved secondary structure identified by RNAz (Washietl et al. "Fast and reliable prediction of noncoding RNAs." Proc Natl Acad Sci USA. 102:2454-9, 2005.) or Evofold (Pedersen et al. "Identification and classification of conserved RNA secondary structures in the human genome." PLoS Comput Biol. 2:e33, 2006.), as well as known non-coding RNAs from public databases, and the Agilent mRNA probe set 014850.

2014-02-04 | GSE43911 | GEO

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