GEO DataSets

Analysis of surgical brain tumors from high grade astrocytoma (HGA) patients with known clinical outcomes. Increased expression of immune function-related genes was positively correlated with longer survival. Results provide insight into molecular profiles associated with long-term survival in HGA.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 21 time sets

Platform:

GPL570

Series:

GSE33331

26 Samples

Download data: CEL

(Submitter supplied) Survival in the majority of high grade astrocytoma (HGA) patients is very poor, with only a rare population of long-term survivors. A better understanding of the biological factors associated with long-term survival in HGA would aid development of more effective therapy and prognostication. We used microarray gene expression profiling of 26 patient surgical samples with known clinical outcomes to discover novel prognostic markers.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4465

Platform:

GPL570

26 Samples

Download data: CEL

(Submitter supplied) Patients diagnosed with glioblastomas continue to have a dismal prognosis, highlighting the need for a better characterization of these tumors in order to identify more efficient therapies. In this study, we generated genome-wide expression data from normal brain and glioma samples, representing major glioma subtypes, using exon-level microarrays (n=70). A multi-component approach was used to characterize molecular pathways and tumor infiltrate, with particular focus on the poor prognosis primary glioblastomas (pGBM). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

70 Samples

Download data: CEL

(Submitter supplied) Ependymoma, the 3rd most common brain tumor in children, recurs in approximately 50% of patients. There is currently no robust marker that predicts for recurrence, which is a significant clinical problem We used global gene expression profiling of 19 patient surgical samples obtained at initial diagnosis and with known clinical outcomes to discover novel prognostic markers.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

19 Samples

Download data: CEL

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

65 Samples

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(Submitter supplied) Summary: Astrocytomas can be categorized as either low grade or high grade (glioblastoma). Low grade astrocytomas are not generally aggressive tumors whereas glioblastomas are and in turn have a high mortality rate. The purpose of this experiment is to identify genetic differences between the two types. Hypothesis: There will be a difference in RNA expression between high grade and low grade tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2853

Platforms:

GPL96 GPL8300

20 Samples

Download data: CEL

Comparison of low and high grade astrocytoma brain tumors. Results provide insight into the molecular differences between the two types of tumors.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 3 disease state, 2 other sets

Platform:

GPL8300

Series:

GSE3185

16 Samples

Download data: CEL

(Submitter supplied) Merkel cell carcinoma (MCC) is a polyomavirus-associated skin cancer that is frequently lethal and lacks established prognostic biomarkers. The purpose of this study was to use gene expression analysis to identify biomarkers that may improve prognostic accuracy and provide insight into MCC biology.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

35 Samples

Download data: CEL

(Submitter supplied) Osteosarcoma (OS) accounts for approximately 80% of all malignant bone tumors in the dog. Tumors are highly metastatic and long-term survival is poor. This study aims to investigate the prognosis associated gene expression profile in primary canine OS. Canine specific cDNA microarray representing 20,313 genes was used to analyze expression profiles in a panel of thirty-two primary osteosarcoma to identify genes associated with survival. more...

Organism:

Canis lupus familiaris

Type:

Expression profiling by array

Platform:

GPL5117

32 Samples

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(Submitter supplied) Astrocytomas are heterogeneous intracranial glial neoplasms ranging from the highly aggressive malignant glioblastoma multiforme (GBM) to the indolent, low-grade pilocytic astrocytoma. We have investigated whether DNA microarrays can identify gene expression differences between high-grade and low-grade glial tumors. We compared the transcriptional profile of 45 astrocytic tumors including 21 GBMs and 19 pilocytic astrocytomas using oligonucleotide-based microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL80

51 Samples

Download data: CEL, TXT

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

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platforms:

GPL19296 GPL19295

220 Samples

Download data: TXT

(Submitter supplied) We performed global microRNA expression profiling of a cohort of primary melanoma patient samples linked to a well-annotated clinical database. The goal of this study was to identify microRNA that are associated to or correlated with various clinical parameters and patient outcomes. Candidate microRNA were identified for building prognostic models and functional testing.

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL19296

119 Samples

Download data: TXT

(Submitter supplied) We performed global microRNA expression profiling of a cohort of primary melanoma patient samples linked to a well-annotated clinical database. The goal of this study was to identify microRNA that are associated to or correlated with various clinical parameters and patient outcomes. Candidate microRNA were identified for building prognostic models and functional testing.

Organism:

Homo sapiens; synthetic construct

Type:

Non-coding RNA profiling by array

Platform:

GPL19295

101 Samples

Download data: TXT

(Submitter supplied) The characteristics of immune cells infiltrating pediatric brain tumors is largely unexplored. A better understanding of these characteristics will provide a foundation for development of immunotherapy for pediatric brain tumors. Gene expression profiles were used to identify immune marker gene that are differentially expressed between various brain tumor types.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

130 Samples

Download data: CEL