GEO DataSets

Analysis of grades III and IV gliomas of various histologic types. Results used to develop a gene-expression based, histology independent-classification scheme, and provide insight into the biology of gliomas.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 4 cell type, 2 disease state sets

Platform:

GPL97

Series:

GSE4412

85 Samples

Download data: CEL

(Submitter supplied) Migrated from 1.6 id: 1015897590491013 GEDP id: 760 In current clinical practice, histology-based grading of diffuse infiltrative gliomas is the best predictor of patient survival time. Yet histology provides little insight into the underlying biology of gliomas and is limited in its ability to identify and guide new molecularly targeted therapies. We have performed large-scale gene expression analysis using the Affymetrix HG U133 oligonucleotide arrays on 85 diffuse infiltrating gliomas of all histologic types to assess whether a gene expression-based, histology-independent classifier is predictive of survival and to determine whether gene expression signatures provide insight into the biology of gliomas. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL97 GPL96

170 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) Diffuse infiltrating gliomas are the most common primary brain malignancy found in adults, and Glioblastoma multiforme, the highest grade glioma, is associated with a median survival of 7 months. Transcriptional profiling has been applied to 85 gliomas from 74 patients to elucidate glioma biology, prognosticate survival, and define tumor sub-classes. These studies reveal that transcriptional profiling of gliomas is more accurate at predicting survival than traditional pathologic grading, and that gliomas characteristically express coordinately regulated genes of one of four molecular signatures: neurogenesis, synaptic transmission, mitotic, or extra-cellular matrix. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS1975 GDS1976

Platforms:

GPL96 GPL97

170 Samples

Download data: CEL, TXT

Analysis of grades III and IV gliomas of various histologic types. Results used to develop a gene-expression based, histology independent-classification scheme, and provide insight into the biology of gliomas.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 4 cell type, 2 disease state sets

Platform:

GPL96

Series:

GSE4412

85 Samples

Download data: CEL

(Submitter supplied) Histological classification of gliomas guides treatment decisions. Because of the high interobserver variability, we aimed to improve classification by performing gene expression profiling on a large cohort of glioma samples of all histological subtypes and grades. The seven identified intrinsic molecular subtypes are different from histological subgroups and correlate better to patient survival. Our data indicate that distinct molecular subgroups clearly benefit from treatment. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL8542

284 Samples

Download data: CEL, CHP

(Submitter supplied) Microarray analysis was used to determine the expression of 12,000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogliomas with classic histology. A 20-feature k-nearest neighbor model correctly classified 18 of the 21 classic cases in leave-one-out cross-validation when compared with pathological diagnoses. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL8300

50 Samples

Download data: CEL

(Submitter supplied) Mean age of patients was 53.2 years old (range, 18–80). Twenty-two patients were males, and 7 were females. Tissues were snap-frozen in liquid nitrogen within 5 min of harvesting, and stored thereafter at －80℃. Samples were specifically re-reviewed by a board-certified pathologist in our institution, using observation of sections of paraffin-embedded tissues that were adjacent or in close proximity to the frozen sample from which the RNA was extracted. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL876

29 Samples

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(Submitter supplied) Our goal was to identify gene expression features, using comprehensive gene expression profiling, that correlate with survival in conventional renal cell carcinomas (cRCCs). We profiled 177 cRCCs using high-density cDNA microarrays. Unsupervised hierarchical clustering analysis segregated cRCC into five gene expression subgroups. Expression subgroup was correlated with survival in long-term follow-up and was independent of grade, stage, and performance status. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

10 related Platforms

177 Samples

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(Submitter supplied) Aberrant splice variants are involved in the initiation and/or progression of glial brain tumors. We therefore set out to identify splice variants that are differentially expressed between histological subgroups of gliomas. Splice variants were identified using a novel platform that profiles the expression of virtually all known and predicted exons present in the human genome. Exon-level expression profiling was performed on 26 glioblastomas, 22 oligodendrogliomas and 6 control brain samples. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

55 Samples

Download data: CEL

(Submitter supplied) Our aim was to gain insight into the molecular pathways that distinguish pediatric- from adult-onset glioblastomas.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL9966

60 Samples

Download data: TXT

(Submitter supplied) Tumor cell lines and drug-resistant counterparts. These data support the publication Gyorffy et al, Oncogene 2005 (July), Prediction of doxorubicin sensitivity in breast tumors based on gene expression profiles of drug-resistant cell lines correlates with patient survival. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL2705 GPL2706

13 Samples

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(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

295 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

285 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 5 tumour samples Keywords: expression difference of cell types in tumour samples

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

10 Samples

Download data: CEL, CSV

(Submitter supplied) We performed gene expression profiling on 151 paraffin-embedded PLGGs from different locations, ages, histological subtypes as well as BRAF genetic status We also compared molecular differences to normal pediatric brain expression profiles to observe whether those patterns were mirrored in normal brain expression.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5474

166 Samples

Download data: TXT

(Submitter supplied) In modern clinical neuro-oncology the pathological diagnoses are very challenging creating significant clinical confusion and affecting therapeutic decisions and prognostic estimation. We investigated whether gene expression profiling, coupled with class prediction methodology, could be used to predict prognosis of gliomatosis cerebri in a more consistent manner then standard pathology. We report the results of a molecular study in fifty-nine cases of gliomatosis cerebri, correlating these results with prognosis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6964

59 Samples

Download data: TXT

(Submitter supplied) Gene expression profiling in 50 glial brain tumors and 4 normal brains using 42,000-feature cDNA microarrays (from total RNA). Tumors: 50 fresh-frozen glioma specimens subjected to standard WHO classification. Specimens included astrocytic [2 juvenile pilocytic astrocytomas, 1 low-grade astrocytic glioma, 1 anaplastic astrocytomas, 31 glioblastomas (of these 2 secondary glioblastomas and 2 gliosarcomas)], oligodendroglial [5 oligodendrogliomas, 3 anaplastic oligodendrogliomas], and 6 anaplastic oligoastrocytomas tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1813

Platform:

GPL1833

54 Samples

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Analysis of 50 glial brain tumors of various histogenesis. Results provide insight into the molecular mechanisms underlying gliomagenesis and define biological pathway maps associated with gliomagenesis as well as distinct glioma subtypes.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 6 disease state sets

Platform:

GPL1833

Series:

GSE2223

53 Samples

Download data

(Submitter supplied) We used microarrays to select the genes associated glioma patients survival. This study aimed to define genes associated with survival. Expression profiling was performed on 50 gliomas. A gene classifier was developed.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

50 Samples

Download data: CEL

(Submitter supplied) Background: Glioblastomas are the most common primary brain tumour in adults. While the prognosis for patients is poor, gene expression profiling has detected signatures that can sub-classify GBMs relative to histopathology and clinical variables. One category of GBM defined by a gene expression signature is termed ProNeural (PN), and has substantially longer patient survival relative to other gene expression-based subtypes of GBMs. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL570 GPL8300 GPL96

267 Samples

Download data: CEL