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Transcription profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity at the gene expression level

ABSTRACT: Glioblastoma multiforme (GBM) is a highly heterogeneous disease that shows an enourmous range of genetic abnormalities in comparison to other astrocytic tumors. Intra-patient heterogeneity in GBM has been poorly characterized both at phenotypic and genomic level. During surgical GBM resections, we have extracted between 4 and 8 tumor subsamples from different areas of the malignant tissue that were at least 1cm apart. Our aim to asses the intra-tumoral heterogeneity at the gene expression level to uncover important dynamics underlying GBM progression that may have relevant implication for treatment.

ORGANISM(S): Homo sapiens

SUBMITTER: Spiteri Inmaculada

PROVIDER: S-ECPF-MTAB-1129 | biostudies-other |

REPOSITORIES: biostudies-other

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Transcription profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity at the gene expression level

Project description:Glioblastoma multiforme (GBM) is a highly heterogeneous disease that shows an enourmous range of genetic abnormalities in comparison to other astrocytic tumors. Intra-patient heterogeneity in GBM has been poorly characterized both at phenotypic and genomic level. During surgical GBM resections, we have extracted between 4 and 8 tumor subsamples from different areas of the malignant tissue that were at least 1cm apart. Our aim to asses the intra-tumoral heterogeneity at the gene expression level to uncover important dynamics underlying GBM progression that may have relevant implication for treatment.

2013-02-16 | E-MTAB-1129 | biostudies-arrayexpress

Profiling by array of human Glioblastoma multiforme (GBM) tumor samples to asses the intra-tumoral heterogeneity in genomic copy number aberrations

Project description:Glioblastoma multiforme (GBM) is a highly heterogeneous disease that shows an wide range of genetic abnormalities in comparison to other astrocytic tumors. We have extracted between 4 and 8 tumor subsamples from different areas of the malignant tissue that were at least 1cm apart. Our aim to asses the intra-tumoral heterogeneity by comparing copy number aberrations in different tumor areas to uncover important dynamics underlying GBM progression.

2013-02-15 | E-MTAB-1215 | biostudies-arrayexpress

FAM72, Glioblastoma Multiforme (GBM) and Beyond.

Project description:Neural stem cells (NSCs) offer great potential for regenerative medicine due to their excellent ability to differentiate into various specialized cell types of the brain. In the central nervous system (CNS), NSC renewal and differentiation are under strict control by the regulation of the pivotal SLIT-ROBO Rho GTPase activating protein 2 (SRGAP2)-Family with sequence similarity 72 (FAM72) master gene (i.e., |-SRGAP2-FAM72-|) via a divergent gene transcription activation mechanism. If the gene transcription control unit (i.e., the intergenic region of the two sub-gene units, SRGAP2 and FAM72) gets out of control, NSCs may transform into cancer stem cells and generate brain tumor cells responsible for brain cancer such as glioblastoma multiforme (GBM). Here, we discuss the surveillance of this |-SRGAP2-FAM72-| master gene and its role in GBM, and also in light of FAM72 for diagnosing various types of cancers outside of the CNS.

| S-EPMC7957592 | biostudies-literature

intra-tumoral heterogenity of glioblsatoma multiforme

Project description:Quantitative proteomics analysis of different areas of glioblastoma with triplex Isotope-Coded Protein Label (ICPL)

2016-12-02 | PRD000580 | Pride

Using Light for Therapy of Glioblastoma Multiforme (GBM).

Project description:: Glioblastoma multiforme (GBM) is the most malignant form of primary brain tumour with extremely poor prognosis. The current standard of care for newly diagnosed GBM includes maximal surgical resection followed by radiotherapy and adjuvant chemotherapy. The introduction of this protocol has improved overall survival, however recurrence is essentially inevitable. The key reason for that is that the surgical treatment fails to eradicate GBM cells completely, and adjacent parenchyma remains infiltrated by scattered GBM cells which become the source of recurrence. This stimulates interest to any supplementary methods which could help to destroy residual GBM cells and fight the infiltration. Photodynamic therapy (PDT) relies on photo-toxic effects induced by specific molecules (photosensitisers) upon absorption of photons from a light source. Such toxic effects are not specific to a particular molecular fingerprint of GBM, but rather depend on selective accumulation of the photosensitiser inside tumour cells or, perhaps their greater sensitivity to the effects, triggered by light. This gives hope that it might be possible to preferentially damage infiltrating GBM cells within the areas which cannot be surgically removed and further improve the chances of survival if an efficient photosensitiser and hardware for light delivery into the brain tissue are developed. So far, clinical trials with PDT were performed with one specific type of photosensitiser, protoporphyrin IX, which tends to accumulate in the cytoplasm of the GBM cells. In this review we discuss the idea that other types of molecules which build up in mitochondria could be explored as photosensitisers and used for PDT of these aggressive brain tumours.

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A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity.

Project description:Glioblastomas exhibit vast inter- and intra-tumoral heterogeneity, complicating the development of effective therapeutic strategies. Current in vitro models are limited in preserving the cellular and mutational diversity of parental tumors and require a prolonged generation time. Here, we report methods for generating and biobanking patient-derived glioblastoma organoids (GBOs) that recapitulate the histological features, cellular diversity, gene expression, and mutational profiles of their corresponding parental tumors. GBOs can be generated quickly with high reliability and exhibit rapid, aggressive infiltration when transplanted into adult rodent brains. We further demonstrate the utility of GBOs to test personalized therapies by correlating GBO mutational profiles with responses to specific drugs and by modeling chimeric antigen receptor T cell immunotherapy. Our studies show that GBOs maintain many key features of glioblastomas and can be rapidly deployed to investigate patient-specific treatment strategies. Additionally, our live biobank establishes a rich resource for basic and translational glioblastoma research.

| S-EPMC7556703 | biostudies-literature

Topographic mapping of the glioblastoma proteome reveals a triple-axis model of intra-tumoral heterogeneity.

Project description:Glioblastoma is an aggressive form of brain cancer with well-established patterns of intra-tumoral heterogeneity implicated in treatment resistance and progression. While regional and single cell transcriptomic variations of glioblastoma have been recently resolved, downstream phenotype-level proteomic programs have yet to be assigned across glioblastoma's hallmark histomorphologic niches. Here, we leverage mass spectrometry to spatially align abundance levels of 4,794 proteins to distinct histologic patterns across 20 patients and propose diverse molecular programs operational within these regional tumor compartments. Using machine learning, we overlay concordant transcriptional information, and define two distinct proteogenomic programs, MYC- and KRAS-axis hereon, that cooperate with hypoxia to produce a tri-dimensional model of intra-tumoral heterogeneity. Moreover, we highlight differential drug sensitivities and relative chemoresistance in glioblastoma cell lines with enhanced KRAS programs. Importantly, these pharmacological differences are less pronounced in transcriptional glioblastoma subgroups suggesting that this model may provide insights for targeting heterogeneity and overcoming therapy resistance.

| S-EPMC8748638 | biostudies-literature

GBM and microglia fraction of same glioblastoma multiforme (GBM)

Project description:Little is known about the immune performance and interactions of CNS microglia/macrophages in glioma patients. Microglia/macrophages were found to be the predominant immune cell infiltrating gliomas (approximately 1% of total cells); others identified are myeloid dendritic cells (DCs), plasmacytoid DCs, and T cells. Using a procedure enriching for CD11b/c+CD45+ glioma-infiltrating microglia/macrophages (GIMs) from postoperative tissue specimens of glioma patients (Hussain et al. Neuro Oncol. 2006 J;8(3):261-79) gene expression profiles were obtained form paired samples. The expression profiles are used to identify expression signatures contributed by GIMs in glioblastoma data sets (Murat et al, submitted).

2009-05-30 | GSE16119 | GEO

epihet for intra-tumoral epigenetic heterogeneity analysis and visualization.

Project description:Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor package, epihet, to calculate the intra-tumoral epigenetic heterogeneity and to perform differential epigenetic heterogeneity analysis. Furthermore, epihet can implement a biological network analysis workflow for transforming cancer-specific differential epigenetic heterogeneity loci into cancer-related biological function and clinical biomarkers. Finally, we demonstrated epihet utility on acute myeloid leukemia. We found statistically significant differential epigenetic heterogeneity (DEH) loci compared to normal controls and constructed co-epigenetic heterogeneity network and modules. epihet is available at https://bioconductor.org/packages/release/bioc/html/epihet.html .

| S-EPMC7801679 | biostudies-literature

Establishment and Biological Characterization of a Panel of Glioblastoma Multiforme (GBM) and GBM Variant Oncosphere Cell Lines.

Project description:Human tumor cell lines form the basis of the majority of present day laboratory cancer research. These models are vital to studying the molecular biology of tumors and preclinical testing of new therapies. When compared to traditional adherent cell lines, suspension cell lines recapitulate the genetic profiles and histologic features of glioblastoma multiforme (GBM) with higher fidelity. Using a modified neural stem cell culture technique, here we report the characterization of GBM cell lines including GBM variants.Tumor tissue samples were obtained intra-operatively and cultured in neural stem cell conditions containing growth factors. Tumor lines were characterized in vitro using differentiation assays followed by immunostaining for lineage-specific markers. In vivo tumor formation was assayed by orthotopic injection in nude mice. Genetic uniqueness was confirmed via short tandem repeat (STR) DNA profiling.Thirteen oncosphere lines derived from GBM and GBM variants, including a GBM with PNET features and a GBM with oligodendroglioma component, were established. All unique lines showed distinct genetic profiles by STR profiling. The lines assayed demonstrated a range of in vitro growth rates. Multipotency was confirmed using in vitro differentiation. Tumor formation demonstrated histologic features consistent with high grade gliomas, including invasion, necrosis, abnormal vascularization, and high mitotic rate. Xenografts derived from the GBM variants maintained histopathological features of the primary tumors.We have generated and characterized GBM suspension lines derived from patients with GBMs and GBM variants. These oncosphere cell lines will expand the resources available for preclinical study.

| S-EPMC4814135 | biostudies-literature

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