Project description:We assessed global gene expression changes in 32 human glioblastoma specimens Human mRNA profiles of 32 glioblastoma specimens, were obtained by sequencing on Illumina HiSeq 3000
Project description:The prevalence of glioblastoma increases with age. Advanced age is also one of the best-established risk factors for sporadic Alzheimer's disease (AD). Previous histopathological studies detected the occurrence of AD features in frontal cortex specimens from glioblastoma patients. This study aimed to identify AD-related transcript changes in cerebral cortex specimens obtained during surgery for glioblastoma. The study analyzed cerebral cortex specimens from three groups of glioblastoma patients (Group1, Group2, Group3). The transcriptome study of this Group1 includes specimens from 10 glioblastoma patients (Patient1-Patient10).
Project description:A study was performed which analyzed the transcriptome of cerebral cortex specimens obtained during surgery from glioblastoma patients. Specimens from three groups of glioblastoma patients (Group1, Group2, Group3) were analyzed. This part of the project presents data from Group3. The transcriptome study of Group3 includes cerebral cortex specimens from 12 glioblastoma patients (Patient27-Patient38).
Project description:The study performed whole genome microarray gene expression profiling of cerebral cortex specimens obtained during surgery from glioblastoma patients. The project analyzed specimens from three groups of glioblastoma patients (Group1, Group2, Group3). This part of the project presents data from Group2 and includes specimens from 16 glioblastoma patients (Patient11-Patient26).
Project description:MicroRNA profiles were determined for surgically excised glioblastoma specimens and compared with normal adjacent tissue in the same patients
Project description:We used a genome-wide coding gene expression profiling to identify a gene signature for the molecular classification or prognostic prediction of primary GBMs. Total RNA obtained from 21 surgical specimens of primary glioblastoma multiform.
Project description:MicroRNA has a great potential in predicting survival of cancer patient. We used a genome-wide microRNA expression profiling to identify a miRNA signature for the prediction of clinical outcome of primary GBM patients. Total RNA obtained from 82 surgical specimens of primary glioblastoma multiform and 5 normal brain tissues from areas surrounding arteriovenous malformations (AVM) as control.