Comprehensive genomic profiling of matched glioblastoma tumours, cell-lines, and xenografts reveals genomic stability and adaptation to disparate growth environments
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PROVIDER: EGAS00001002709 | EGA |
REPOSITORIES: EGA
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Project description:Glioblastoma Multiforme (GBM) is the most deadly brain tumor, and currently lacks effective treatment options. Brain tumor initiating cells (BTICs) and orthotopic xenografts are widely used in investigating GBM biology and new therapies for this aggressive disease. However, the genomic characteristics and molecular resemblance of these models to GBM tumors remain undetermined. We used massively parallel sequencing technology to decode the genomes and transcriptomes of BTICs and xenografts and their matched tumors in order to delineate the potential impacts of the distinct growth environments. Using data generated from whole‐genome sequencing of 201 samples and RNA sequencing of 118 samples, we showed that typical GBM genomic driver alterations found in the tumors were retained in BTICs and xenografts. In contrast, gene expression and methylation profiles indicated higher levels of divergence, likely due to the different growth environment for each sample type. These findings suggest that a comprehensive genomic understanding of in vitro and in vivo GBM model systems is crucial for interpreting data from drug‐screens, and can help control for biases introduced by cell culture conditions and the microenvironment in mouse models.
2019-03-22 | GSE128654 | GEO
Project description:Development of model systems that recapitulate the molecular heterogeneity observed amongst GBM tumors will expedite the testing of targeted molecular therapeutic strategies for GBM treatment. In this study, we profiled DNA copy number and mRNA expression in 21 independent GBM tumor lines maintained as subcutaneous xenografts (GBMX), and compared GBMX molecular signatures to those observed in GBM clinical specimens derived from The Cancer Genome Atlas (TCGA). The predominant copy number signature in both tumor groups was defined by chromosome-7-gain/chromosome-10-loss, a poor prognosis genetic signature. We also observed, at frequencies similar to that detected in TCGA GBMs genomic amplification and overexpression of known GBM oncogenes such as EGFR, MDM2, CDK6 and MYCN, and novel genes including NUP107, SLC35E3, MMP1, MMP13 and DDX1. The transcriptional signature of GBMX tumors, which was stable over multiple subcutaneous passages, was defined by overexpression of genes involved in M-phase, DNA Replication, and Chromosome organization (MRC) and was highly similar to the poor-prognosis mitosis-and-cell-cycle-module (MCM) in GBM. Assessment of gene expression in TCGA-derived GBMs revealed overexpression of MRC cancer genes AURKB, BIRC5, CCNB1, CCNB2, CDC2, CDK2, and FOXM1, which form a transcriptional network important for G2/M- progression and/or -checkpoint activation. In conclusion, our study supports propagation of GBM tumors as subcutaneous xenografts as a useful approach for sustaining key molecular characteristics of patient tumors, and highlights therapeutic opportunities conferred by this GBMX tumor panel for testing targeted therapeutic strategies for GBM treatment. Disease state analysis
2009-03-07 | GSE14804 | GEO
Project description:Development of model systems that recapitulate the molecular heterogeneity observed amongst GBM tumors will expedite the testing of targeted molecular therapeutic strategies for GBM treatment. In this study, we profiled DNA copy number and mRNA expression in 21 independent GBM tumor lines maintained as subcutaneous xenografts (GBMX), and compared GBMX molecular signatures to those observed in GBM clinical specimens derived from The Cancer Genome Atlas (TCGA). The predominant copy number signature in both tumor groups was defined by chromosome-7-gain/chromosome-10-loss, a poor prognosis genetic signature. We also observed, at frequencies similar to that detected in TCGA GBMs genomic amplification and overexpression of known GBM oncogenes such as EGFR, MDM2, CDK6 and MYCN, and novel genes including NUP107, SLC35E3, MMP1, MMP13 and DDX1. The transcriptional signature of GBMX tumors, which was stable over multiple subcutaneous passages, was defined by overexpression of genes involved in M-phase, DNA Replication, and Chromosome organization (MRC) and was highly similar to the poor-prognosis mitosis-and-cell-cycle-module (MCM) in GBM. Assessment of gene expression in TCGA-derived GBMs revealed overexpression of MRC cancer genes AURKB, BIRC5, CCNB1, CCNB2, CDC2, CDK2, and FOXM1, which form a transcriptional network important for G2/M- progression and/or -checkpoint activation. In conclusion, our study supports propagation of GBM tumors as subcutaneous xenografts as a useful approach for sustaining key molecular characteristics of patient tumors, and highlights therapeutic opportunities conferred by this GBMX tumor panel for testing targeted therapeutic strategies for GBM treatment. Keywords: Disease state analysis RNA expression was assessed in 38 samples: 34 GBM xenograft tumors (29 independent tumors with hybridization replicates for 5 tumors) and 4 non-neoplastic control brain samples
2009-03-07 | E-GEOD-14805 | biostudies-arrayexpress
Project description:Glioblastoma (GBM) patient-derived orthotopic xenografts (PDOXs) were derived from organotypic spheroids obtained from patient tumor samples. To detect whether gene expression profiles of GBM patient tumors are retained in PDOXs, we performed genome-wide transcript analysis by human-specific microarrays . In parallel, we analyzed GBM cell cultures and corresponding intracranial xenografts from stem-like (NCH421k, NCH644) and adherent GBM cell lines (U87, U251). PDOXs show a better transcriptomic resemblance with patient tumors than other preclinical models. The major difference is largely explained by the depletion of human-derived non-malignant cells.
2020-07-01 | GSE134470 | GEO
Project description:Development of model systems that recapitulate the molecular heterogeneity observed amongst GBM tumors will expedite the testing of targeted molecular therapeutic strategies for GBM treatment. In this study, we profiled DNA copy number and mRNA expression in 21 independent GBM tumor lines maintained as subcutaneous xenografts (GBMX), and compared GBMX molecular signatures to those observed in GBM clinical specimens derived from The Cancer Genome Atlas (TCGA). The predominant copy number signature in both tumor groups was defined by chromosome-7-gain/chromosome-10-loss, a poor prognosis genetic signature. We also observed, at frequencies similar to that detected in TCGA GBMs genomic amplification and overexpression of known GBM oncogenes such as EGFR, MDM2, CDK6 and MYCN, and novel genes including NUP107, SLC35E3, MMP1, MMP13 and DDX1. The transcriptional signature of GBMX tumors, which was stable over multiple subcutaneous passages, was defined by overexpression of genes involved in M-phase, DNA Replication, and Chromosome organization (MRC) and was highly similar to the poor-prognosis mitosis-and-cell-cycle-module (MCM) in GBM. Assessment of gene expression in TCGA-derived GBMs revealed overexpression of MRC cancer genes AURKB, BIRC5, CCNB1, CCNB2, CDC2, CDK2, and FOXM1, which form a transcriptional network important for G2/M- progression and/or -checkpoint activation. In conclusion, our study supports propagation of GBM tumors as subcutaneous xenografts as a useful approach for sustaining key molecular characteristics of patient tumors, and highlights therapeutic opportunities conferred by this GBMX tumor panel for testing targeted therapeutic strategies for GBM treatment. Keywords: Disease state analysis
2009-03-07 | GSE14805 | GEO
Project description:We cultured tumor cells from 22 GBM under medium conditions favoring the growth of neural stem cells. 11 out of 15 primary GBM contained a significant CD133+ subpopulation that comprised cells showing all hallmarks of neural stem cells. Cell lines derived from these CD133+ GBM showed a neurosphere-like, non-adherent growth pattern. In contrast, 4 out of 15 cell lines derived from primary GBM grew adherent in vitro and were driven by CD133- tumor cells that fulfilled stem cell criteria. In vivo, these GBM were characterized by a significantly lower proliferation index but similar GFAP staining as compared to CD133+ GBM. Gene arrays from 2x3 representative cells lines are given. Experiment Overall Design: Human glioblastoma cells cultured in DMEM supplemented with EGF, FGF, LIF, B27.
2007-11-01 | E-GEOD-7181 | biostudies-arrayexpress
Project description:Background Tumor heterogeneity is a major obstacle for finding effective treatment of Glioblastoma (GBM). Based on global expression analysis, GBM can be classified into distinct subtypes: Proneural, Neural, Classical and Mesenchymal. The signatures of these different tumor subtypes may reflect the phenotypes of cells giving rise to them. However, the experimental evidence connecting any specific subtype of GBM to particular cells of origin is lacking. In addition, it is unclear how different genetic alterations interact with cells of origin in determining tumor heterogeneity. This issue cannot be addressed by studying end-stage human tumors. Methodology/Principal Findings To address this issue, we used retroviruses to deliver transforming genetic lesions to glial progenitors in adult mouse brain. We compared the resulting tumors to human GBM. We found that different initiating genetic lesions gave rise to tumors with different growth rates. However all mouse tumors closely resembled the human Proneural GBM. Comparative analysis of these mouse tumors allowed us to identify a set of genes whose expression in humans with Proneural GBM correlates with survival. Conclusions/Significance This study offers insights into the relationship between adult glial progenitors and Proneural GBM, and allows us to identify molecular alterations that lead to more aggressive tumor growth. In addition, we present a new preclinical model that can be used to test treatments directed at a specific type of GBM in future studies. Gene expression profiling was performed on 20 tumors (12 Ptenf/f and 8 Ptenf/f; p53f/f) and 3 normal brains from mice. End stage tumors were used for expression array analysis. The platform used was Affymetrix GeneChip Mouse Genome 430A 2.0 Array. The microarray labeling, hybridization and quality controls were performed by following Affymetrix protocol.
2011-05-23 | E-GEOD-29458 | biostudies-arrayexpress
Project description:Cell-to-cell interactions between tumor cells and their microenvironment are critical determinants of tumor tissue biology and therapeutic responses. Interactions between glioblastoma (GBM) cells and endothelial cells (ECs) establish a purported stem cell niche. We hypothesized that genes that mediate these interactions would be important, particularly as therapeutic targets. Using a novel computational approach to deconvoluting expression data from mixed physical coculture of GBM cells and ECs, we identified upregulation of the cAMP specific phosphodiesterase PDE7B in GBM cells in response to ECs. We further found that elevated PDE7B expression occurs in most GBM cases and has a negative effect on survival. PDE7B overexpression resulted in the expansion of a stem-like cell subpopulation, increased tumor aggressiveness, and increased growth in an intracranial GBM model. This deconvolution algorithm provides a new tool for cancer biology, and these results identify PDE7B as a therapeutic target in GBM. 3 replicates from U87 monocultures, 3 replicates from HBMEC monocultures, 3 replicates from U87-HBMEC cocultures
2014-03-01 | E-GEOD-51253 | biostudies-arrayexpress
Project description:Tumor-associated microglia and macrophages (TAM) are the most numerous non-neoplastic populations in the tumor microenvironment of glioblastoma (GBM), the most common malignant brain tumor in adulthood. The mTOR pathway, an important regulator of cell survival and proliferation, is known to be upregulated in GBM, but little is known about a potential role of this pathway in TAM. Here, we show that GBM-initiating cells (GIC) induce mTOR signalling in TAM-Microglia (TAM-MG) but not TAM-Macrophages (TAM-BMDM) in in vitro and in vivo GBM mouse models. mTOR-dependent regulation of STAT3 and NF-ĸB activity promotes an immunosuppressed phenotype in TAM-MG which hinders effector T cell proliferation and immune reactivity, thereby contributing to tumor immune evasion and promoting tumor growth in a mouse model. The translational value of these results is demonstrated in whole transcriptome datasets of human GBM and in a novel in vitro model whereby IPSC-derived microglia-like cells are conditioned by syngeneic patient-derived GIC. These results raise the possibility that tumor cells might not be the primary target of mTOR inhibition, and TAM-MG should be considered instead.
2020-07-21 | GSE147329 | GEO
Project description:Background Tumor heterogeneity is a major obstacle for finding effective treatment of Glioblastoma (GBM). Based on global expression analysis, GBM can be classified into distinct subtypes: Proneural, Neural, Classical and Mesenchymal. The signatures of these different tumor subtypes may reflect the phenotypes of cells giving rise to them. However, the experimental evidence connecting any specific subtype of GBM to particular cells of origin is lacking. In addition, it is unclear how different genetic alterations interact with cells of origin in determining tumor heterogeneity. This issue cannot be addressed by studying end-stage human tumors. Methodology/Principal Findings To address this issue, we used retroviruses to deliver transforming genetic lesions to glial progenitors in adult mouse brain. We compared the resulting tumors to human GBM. We found that different initiating genetic lesions gave rise to tumors with different growth rates. However all mouse tumors closely resembled the human Proneural GBM. Comparative analysis of these mouse tumors allowed us to identify a set of genes whose expression in humans with Proneural GBM correlates with survival. Conclusions/Significance This study offers insights into the relationship between adult glial progenitors and Proneural GBM, and allows us to identify molecular alterations that lead to more aggressive tumor growth. In addition, we present a new preclinical model that can be used to test treatments directed at a specific type of GBM in future studies.
2011-05-23 | GSE29458 | GEO