Deep Sequencing Identifies IDH1 R132S Mutation in Adult Medulloblastoma (CGH)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE41990 | GEO | 2013/01/01
SECONDARY ACCESSION(S): PRJNA184596
REPOSITORIES: GEO
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Project description:Here we present the case of adult medulloblastoma with minimal chromosomal rearrangements. Data presented here are aCGH analyses of two biopsies of adult patient with a medulloblastoma which was classified as a Shh subgroup. Analyses were performed on 2 archival specimens of medulloblastoma, WHO Grade IV, seen at the Department of Pathology, Massachusetts General Hospital from 2007. This Series represents the CGH part of the study.
2013-01-01 | E-GEOD-41990 | biostudies-arrayexpress
Project description:Here we present the case of adult medulloblastoma with minimal chromosomal rearrangements but Shh expression profile and IDH1 mutation. Data presented here are NanoString analyses of two biopsies of adult patient with a medulloblastoma which was classified as a Shh subtype Analyses were performed on 2 archival specimens of medulloblastoma, WHO Grade IV, seen at the Department of Pathology, Massachusetts General Hospital in 2007.
2013-01-01 | E-GEOD-43123 | biostudies-arrayexpress
Project description:Here we present the case of adult medulloblastoma with minimal chromosomal rearrangements but Shh expression profile and IDH1 mutation. Data presented here are NanoString analyses of two biopsies of adult patient with a medulloblastoma which was classified as a Shh subtype
2013-01-01 | GSE43123 | GEO
Project description:DDX3X is an ATP-dependent RNA helicase. Missense mutations in DDX3X gene are known to occur in WNT, SHH subgroup medulloblastomas. The role of DDX3X in medulloblastoma biology was studied by downregulating its expression in a SHH subgroup Daoy medulloblastoma cell line. DDX3X knockdown resulted in considerable reduction in proliferation, clonogenic potential and anchorage-independent growth of the medulloblastoma cells. Transcriptome analysis was performed to delineate the molecular mechanism underlying reduction in the malignant potential of the medulloblastoma cells upon DDX3X knockdown. Exogenous expression of three DDX3X missense mutants in the DDX3X knockdown cells could restore the malignant potential of the medulloblastoma cells.
2023-03-31 | GSE201967 | GEO
Project description:We explore cellular heterogeneity in 28 childhood medulloblastoma (MB) (1 WNT, 9 SHH, 7 GP3 and 11 GP4) using single-cell RNA sequencing (scRNA-seq), immunohistochemistry and deconvolution of bulk transcriptomic data. Neoplastic cells are broadly clustered according to subgroup, and within subgroups discrete sample clustering is associated with chromosomal copy number variance. Each subgroup contains subpopulations exhibiting mitotic , undifferentiated and neuronal differentiated transcript profiles , corroborating other recent medulloblastoma scRNA-seq studies and identifying new subpopulations. We identify a photoreceptor-differentiated subpopulation that is predominantly found in GP3 medulloblastoma, and in SHH, a subpopulation that constitutes differentiating nodules . Deconvolution of a large transcriptomic dataset shows that neoplastic subpopulations are associated with major and minor subgroup subdivisions, for example, photoreceptor subpopulation cells are more abundant in GP3-alpha. This scRNA-seq dataset also demonstrates medulloblastoma subgroup-specific differences in the tumor microenvironment and immune landscape, and reveals an SHH nodule -associated myeloid subpopulation. Additionally, we perform scRNA-seq on genetically engineered mouse (GEM) models of GP3 and SHH medulloblastoma. These models specifically matched the corresponding human subgroup-specific neoplastic subpopulations. We provide an interactive online resource that facilitates exploration of these MB single cell datasets. Collectively, our findings advance our understanding of the neoplastic and immune landscape of the main medulloblastoma subgroups in both humans and GEM models.
2021-06-04 | GSE155446 | GEO
Project description:Purpose Integrated genomics approaches have identified at least four distinct biological variants in medulloblastoma: WNT, SHH, group C, and group D. Non-WNT/Non-SHH tumors are associated with metastatic dissemination and an unfavorable prognosis. Additional markers may enhance outcome prediction in Non-WNT/Non-SHH medulloblastomas. Experimental Design We combined transcriptomic and DNA copy-number analyses for 64 primary medulloblastomas. Bioinformatic tools were applied to discover marker genes of molecular variants. Differentially expressed transcripts were evaluated for prognostic value in the screening cohort. Immunopositivity for FSTL5 was correlated with molecular and prognostic subgroups for 235 non-overlapping medulloblastoma samples on two independent tissue microarrays (TMA). Results Unsupervised clustering analyses of transcriptome profiles confirmed four distinct molecular variants. Stable subgroup separation was achieved using only the 300 most varying transcripts. Specific distributions of clinical and molecular characteristics were noted for each cluster. Distinct expression patterns of FSTL5 in each molecular subgroup were confirmed by quantitative real-time PCR. Immunopositivity of FSTL5 identified a large cohort of patients (84 of 235 patients; 36%) at high risk for relapse and death. Importantly, over 50% of Non-WNT/Non-SHH tumors displayed FSTL5 negativity, delineating a large patient cohort with an excellent prognosis who would be considered intermediate/high-risk based on current molecular subtyping. Conclusions Comprehensive analyses of transcriptomic and genetic alterations delineate four distinct variants of medulloblastoma. The addition of FSTL5 immunohistochemistry to existing molecular stratification schemes can effectively identify those Non-WNT/Non-SHH tumors with a poor outcome. Immunohistochemical staining for FSTL5 could be a high-quality and practical tool for stratification and prognostication in future clinical trials of medulloblastoma. Whole-genome transcriptional profiling of human medulloblastomas. Subgrouping based on mRNA expression profiles. Fresh frozen tumor material was collected during tumor resection. Dye-swap design used for expression profiling. Reference was a pool of normal cerebellum tissue from 24 donors. Gene expression profiles illustrate distinct expression pattern at diagnosis. This submission represents the gene expression component of the study.
2011-07-01 | E-GEOD-28245 | biostudies-arrayexpress
Project description:GLI2 overexpression is a hallmark in SHH subgroup of medulloblastoma (SHH MB). Here we identify the targetome of Gli2 in two mouse models of SHH MB: SmoM2 overexpression and Sufu;Spop double knockout MB.
2018-12-13 | GSE112702 | GEO
Project description:GLI2 overexpression is a hallmark in SHH subgroup of medulloblastoma (SHH MB). Here we profile the transcriptome of two mouse models of SHH MB expressing high Gli2: SmoM2 overexpression and Sufu;Spop double knockout MB.
2018-12-13 | GSE112772 | GEO
Project description:Recent genomic approaches have suggested the existence of multiple distinct subtypes of medulloblastoma. We studied a large cohort of medulloblastomas to determine how many subgroups of the disease exist, how they differ, and the extent of overlap between subgroups. We determined gene expression profiles and DNA copy number aberrations for 103 primary medulloblastomas. Bioinformatic tools were used for class discovery of medulloblastoma subgroups based on the most informative genes in the dataset. Immunohistochemistry for subgroup-specific ‘signature’ genes was used to determine subgroup affiliation for 294 non-overlapping medulloblastomas on two independent tissue microarrays (TMAs). Multiple unsupervised analyses of transcriptional profiles identified four distinct, non-overlapping molecular variants: WNT, SHH, Group C, and Group D. Supervised analysis of these four subgroups revealed significant subgroup-specific demographics, histology, metastatic status, and DNA copy number aberrations. Immunohistochemistry for DKK1 (WNT), SFRP1 (SHH), NPR3 (Group C), and KCNA1 (Group D) could reliably and uniquely classify formalin fixed medulloblastomas in ~98% of cases. Group C patients (NPR3 +ve tumors) exhibited a significantly diminished progression free and overall survival irrespective of their metastatic status. Our integrative genomics approach to a large cohort of medulloblastomas has identified four disparate subgroups with distinct demographics, clinical presentation, transcriptional profiles, genetic abnormalities, and clinical outcome. Medulloblastomas can be reliably assigned to subgroups through immunohistochemistry, thereby making medulloblastoma sub-classification widely available. Future research on medulloblastoma and the development of clinical trials should take into consideration these four distinct types of medulloblastoma. A total of 103 primary medulloblastoma specimens were profiled by Affymetrix exon array and gene-level analysis was performed.
2010-09-13 | E-GEOD-21140 | biostudies-arrayexpress
Project description:Ptch+/- mice, which are predisposed to SHH subgroup medulloblastoma, were mutagenised using the Sleeping Beauty transposon to identify genes which increase the frequency of medulloblastoma formation. Gene expression in tumours was assessed both to investigate their relationship to human subgroup tumours, and to identify genes where expression was altered by mutagenesis.
2013-07-09 | GSE43994 | GEO