Project description:Glioblastoma (GB) is the most aggressive form of glioma and is characterized by a poor prognosis and high recurrence, despite intensive clinical interventions. To retrieve the key factors underlying the high malignancy of GB, we performed differential expression analysis between low and high-grade gliomas by using RNA-seq.
Project description:Glioblastoma (GB) is the most aggressive form of glioma and is characterized by a poor prognosis and high recurrence, despite intensive clinical interventions. To retrieve the key factors underlying the high malignancy of GB, we performed differential methylation analysis between low and high-grade gliomas by using Infinium MethylationEPIC beadchips.
Project description:We carried out the analyses of chromosome variations between low-grade and high-grade gliomas in Chinese population. We found out the differences in chromosomes, cytobands, genes, pathways and GO functions. To identify the glioma tissue-specific genomic alterations and compare the genomic variations between low-grade and high-grade gliomas.
Project description:We carried out the analyses of chromosome variations between low-grade and high-grade gliomas in Chinese population. We found out the differences in chromosomes, cytobands, genes, pathways and GO functions.
Project description:20% of patients affected with diffuse low-grade brain tumors have high cell density foci harboring higher KI67 index and DNA alterations. These foci may represent tumor progression towards high-grade gliomas. Here we performed transcriptome analysis of those foci vs adjacent tumoral tissues dissected from formalin fixed and paraffin embedded blocks.
Project description: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. Of the approximately 6800 genes that were analyzed, a set of 360 genes provided a molecular signature that distinguished between GBMs and pilocytic astrocytomas. Many transcripts that were increased in GBM were not previously associated with gliomas and were found to encode proteins with properties that suggest their involvement in cell proliferation or cell migration. Microarray-based data for a subset of genes was validated using real-time quantitative reverse transcription-PCR. Immunohistochemical analysis also localized the protein products of specific genes of interest to the neoplastic cells of high-grade astrocytomas. Our study has identified a large number of novel genes with distinct expression patterns in high-grade and low-grade gliomas.