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.
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.
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.
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:Surgical resection is the first choice of the standardized treatment scheme for glioblastoma and is performed under general anesthesia. Previous researches have shown that propofol and sevoflurane have different effects on the biological process of glioma cells from the molecular level. Some of them, for instance, control the glioma cell proliferation, invasion and migration In vitro or In vivo. We used mRNA microarray to discuss the effects of propofol and sevoflurane on gene expression in patients with glioblastoma. The correlation between DEGs and patients’ prognosis was further analyzed.