Project description:Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. We approached these problems by developing a classification system based on DNA microarray gene expression data derived from 99 patient samples. Here we demonstrate that medulloblastomas are molecularly distinct from other brain tumours including primitive neuroectodermal tumours (PNETs), atypical teratoid/rhabdoid tumours (AT/RTs) and malignant gliomas. Previously unrecognized evidence supporting the derivation of medulloblastomas from cerebellar granule cells through activation of the Sonic Hedgehog (SHH) pathway was also revealed. We show further that the clinical outcome of children with medulloblastomas is highly predictable on the basis of the gene expression profiles of their tumours at diagnosis. golub-00460 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Material Types: synthetic_RNA, organism_part, whole_organism, total_RNA Disease States: synthetic_RNA, organism_part, whole_orMedulloblastoma, renal rhabdoid tumor, Atypical Teratoid/Rhabdoid Tumor, Supratentorial PNET, Supratentorial PNET (pineoblastoma), Normal, Malignant Glioma, Extrarenal Rhabdoid Tumorganism, total_RNA
Project description:Atypical teratoid/rhabdoid tumor (AT/RT), which harbors INI1 mutation and exhibits a characteristic histology of rhabdoid cells, has a poor prognosis because of the lack of effective treatments. Here we established human INI1-deficient pluripotent stem cells (hPSCs), which developed AT/RT formation in vivo. However, INI1-deficient hPSC-derived neural progenitor cell (NPC) gave rise to mostly medulloblastoma-like tumors when transplanted into the mouse brain.
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify microRNA profiles We analysed the microRNA profiles in paediatric brain tumours as compared to normal adult brain. Our cohort included 14 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 1 papillary glioneuronal, and 7 adult brain controls.
Project description:In this study, we screened a cohort of 57 paediatric brain tumours, with a wide range of pathologies to identify gene expression profiles We analysed gene expression in paediatric brain tumours as compared to normal adult brain in order to understand the molecular profiles. Our cohort included 15 pilocytic astrocytomas, 3 diffuse astrocytomas, 2 anaplastic astrocytomas, 5 glioblastomas, 14 ependymomas, 9 medulloblastomas, 5 atypical teratoid/rhabdoid tumours, 4 choroid plexus papillomas, 8 adult brain and 8 foetal brain controls.
Project description:Embryonal tumors of the central nervous system (CNS) represent a highly malignant tumor group of medulloblastoma (MB), atypical teratoid/rhabdoid tumor (AT/RT), and primitive neuroectodermal tumor (PNET) that frequently afflict children. In this study, we report transcriptome traits in MB by using gene expression microarray analyses. We also compare MB dataset with AT/RT cases and AT/RT-like cases. 22 MB cases are subjected to transcriptome analysis
Project description:Despite in-depth knowledge of the molecular features and oncogenic drivers associated with adult and pediatric brain tumors, identifying effective targeted therapies for these cancers remains challenging. To identify novel gene dependencies in adult and pediatric brain tumor isolates, we integrated data from functional genomic lethality screens in primary brain tumor isolates with machine learning network models from lethality screens performed in >900 cancer cell lines. Integrated network models revealed molecular and phenotypic features that predict candidate genetic dependencies in multiple brain tumor types, including: atypical teratoid rhabdoid tumors, diffuse intrinsic pontine gliomas, ependymomas, medulloblastomas, and glioblastomas (primary and recurrent). Some examples of dependencies and predictors include: ADAR and MX1 protein expression; EFR3A and low EFR3B expression; FBXO42 and spindle assembly checkpoint activation; FGFR1 and high FGF2 expression; and SMARCC2 in SMARCB1 mutated ATRT tumors. In general, the results demonstrate that large functional genetic data sets can be leveraged to identify, validate, and categorize gene dependencies and their associated biomarkers in primary tumor isolates. The results also highlight some of the challenges and limitations of this approach.
Project description:SMARCB1 (Snf5/Ini1/Baf47) is a potent tumor suppressor, the loss of which serves as the diagnostic feature in Malignant Rhabdoid Tumors (MRT) and Atypical Teratoid/Rhabdoid Tumors (AT/RT), two highly aggressive forms of pediatric neoplasms. Here, we restore Smarcb1 expression in cells derived from Smarcb1-deficient tumors which developed in Smarcb1-heterozygous p53-/- mice. Profiling Smarcb1 dependent gene expression we find genes which are dependent on Smarcb1 expression to be enriched for ECM and cell adhesion functions. We identify Igfbp7, which is related to the insulin-like growth factor binding proteins family, as a downstream target of Smarcb1 transcriptional activity, and show that re-introduction of Igfbp7 alone can hinder tumor development.
Project description:SMARCB1 (Snf5/Ini1/Baf47) is a potent tumor suppressor, the loss of which serves as the diagnostic feature in Malignant Rhabdoid Tumors (MRT) and Atypical Teratoid/Rhabdoid Tumors (AT/RT), two highly aggressive forms of pediatric neoplasms. Here, we restore Smarcb1 expression in cells derived from Smarcb1-deficient tumors which developed in Smarcb1-heterozygous p53-/- mice. Profiling Smarcb1 dependent gene expression we find genes which are dependent on Smarcb1 expression to be enriched for ECM and cell adhesion functions. We identify Igfbp7, which is related to the insulin-like growth factor binding proteins family, as a downstream target of Smarcb1 transcriptional activity, and show that re-introduction of Igfbp7 alone can hinder tumor development. Two cancer cell lines, 167 and 365, derived from Smarcb1-deficient tumors which developed in Smarcb1-heterozygous p53-/- mice were re-infected with a retro-viral vector for Smarcb1 re-expression or an empty retro-viral vector as control. Total-RNA was collected 3 days post infection so as to enrich for direct targets of Smarcb1 transcriptionaly regulated genes