Project description:Glioblastoma (GBM), the most common malignant tumor originating in the brain remains incurable with few treatment advances despite decades of investigation. Treatment failure is often attributed to intratumoral heterogeneity, which fosters tumor evolution and selection of resistant clones. However, intratumoral heterogeneity and tumor evolution remain poorly understood in GBM as studies are typically based on single tissue biopsies and lack spatial context. Here, we have utilized pre-operative MRI scans and intra-operative 3-D surgical neuronavigation for 10 primary IDH-WT GBM patients to acquire 103 tissue samples that represent maximal tumor diversity and are mapped by 3-D spatial coordinates. We combine insights from deconvolution of GBM transcriptomes and chromatin landscapes with single-cell analysis to assess intratumoral heterogeneity of each program at the cellular level and to distinguish neuronal, glial, and immune programs aberrantly active in tumor cells from their counterparts in normal cells. Collectively, these data provide unprecedented insight into GBM intratumoral heterogeneity and evolution from single-cell to whole-tumor 3D spatial resolution, redefining current understanding and providing a rich resource of targets for therapeutic investigation.
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.
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:We have analyzed transcriptomic intra-tumor heterogeneity among 2-4 multiregional samples from each of 98 primary colorectal cancers. We investigated the level and prognostic value of intra-tumor heterogeniety of the consensus molecular subtypes, and identified subtypes more robust to heterogeneity based on genes with uniform expression levels across tumor regions.