20 research outputs found

    Tumor-specific mutations in low-frequency genes affect their functional properties

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    Causal genetic changes in oligodendrogliomas (OD) with 1p/19q co-deletion include mutations in IDH1, IDH2, CIC, FUBP1, TERT promoter and NOTCH1. However, it is generally assumed that more somatic mutations are required for tumorigenesis. This study aimed to establish whether genes mutated at low frequency can be involved in OD initiation and/or progression. We performed whole-genome sequencing on three anaplastic ODs with 1p/19q co-deletion. To estimate mutation frequency, we performed targeted resequencing on an additional 39 ODs. Whole-genome sequencing identified a total of 55 coding mutations (range 8–32 mutations per tumor), including known abnormalities in IDH1, IDH2, CIC and FUBP1. We also identified mutations in genes, most of which were previously not implicated in ODs. Targeted resequencing on 39 additional ODs confirmed that these genes are mutated at low frequency. Most of the mutations identified were predicted to have a deleterious functional effect. Functional analysis on a subset of these genes (e.g. NTN4 and MAGEH1) showed that the mutation affects the subcellular localization of the protein (n = 2/12). In addition, HOG cells stably expressing mutant GDI1 or XPO7 showed altered cell proliferation compared to those expressing wildtype constructs. Similarly, HOG cells expressing mutant SASH3 or GDI1 showed altered migration. The significantly higher rate of predicted deleterious mutations, the changes in subcellular localization and the effects on proliferation and/or migration indicate that many of these genes functionally may contribute to gliomagenesis and/or progression. These low-frequency genes and their affected pathways may provide new treatment targets for this tumor type

    The effect of dexamethasone on the microenvironment and efficacy of checkpoint inhibitors in glioblastoma: A systematic review

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    Background: Checkpoint inhibitor immunotherapy has not proven clinically effective in glioblastoma. This lack of effectiveness may be partially attributable to the frequent administration of dexamethasone in glioblastoma patients. In this systematic review, we assess whether dexamethasone (1) affects the glioblastoma microenvironment and (2) interferes with checkpoint inhibitor immunotherapy efficacy in the treatment of glioblastoma. Methods: PubMed and Embase were systematically searched for eligible articles published up to September 15, 2021. Both in vitro and in vivo preclinical studies, as well as clinical studies were selected. The following information was extracted from each study: Tumor model, corticosteroid treatment, and effects on individual immune components or checkpoint inhibitor immunotherapy. Results: Twenty-one preclinical studies in cellular glioma models (n = 10), animal glioma models (n = 6), and glioblastoma patient samples (n = 7), and 3 clinical studies were included. Preclinical studies show that dexamethasone decreases the presence of microglia and other macrophages as well as the number of T lymphocytes in both tumor tissue and periphery. Dexamethasone abrogates the antitumor effects of checkpoint inhibitors on T lymphocytes in preclinical studies. Although randomized studies directly addressing our research question are lacking, clinical studies suggest a negative association between corticosteroids and survival outcomes in glioblastoma patients receiving checkpoint inhibitors after adjustment for relevant prognostic factors. Conclusions: Preclinical research shows that dexamethasone inhibits the antitumor immune response in glioma, thereby promoting a protumorigenic microenvironment. The efficacy of checkpoint inhibitor immunotherapy in glioblastoma patients may therefore be negatively affected by the use of dexamethasone. Future research could investigate the potential of edema-reducing alternatives to dexamethasone

    Alternative normalization and analysis pipeline to address systematic bias in NanoString GeoMx Digital Spatial Profiling data

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    Spatial transcriptomics is a novel technique that provides RNA-expression data with tissue-contextual annotations. Quality assessments of such techniques using end-user generated data are often lacking. Here, we evaluated data from the NanoString GeoMx Digital Spatial Profiling (DSP) platform and standard processing pipelines. We queried 72 ROIs from 12 glioma samples, performed replicate experiments of eight samples for validation, and evaluated five external datasets. The data consistently showed vastly different signal intensities between samples and experimental conditions that resulted in biased analysis. We evaluated the performance of alternative normalization strategies and show that quantile normalization can adequately address the technical issues related to the differences in data distributions. Compared to bulk RNA sequencing, NanoString DSP data show a limited dynamic range which underestimates differences between conditions. Weighted gene co-expression network analysis allowed extraction of gene signatures associated with tissue phenotypes from ROI annotations. Nanostring GeoMx DSP data therefore require alternative normalization methods and analysis pipelines

    Differential Expression of Splicing Variants of the Human Caldesmon Gene (CALD1) in Glioma Neovascularization versus Normal Brain Microvasculature

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    Caldesmon is a cytoskeleton-associated protein which has not yet been related to neoplastic angiogenesis. In this study we investigated the expression of the caldesmon gene (CALD1) splicing variants and the protein expression level in glioma microvessels versus normal brain microvasculature. To exclude sources of splice variant expression from non-vascular components all possible cellular components present in control and glioma samples were pre-screened by laser-capture microdissection followed by RT-PCR before the cohort study. We discovered differential expression of the splicing variants of CALD1 in the tumor microvessels in contrast to normal brain microvasculature. Missplicing of exons 1, 1 + 4, and 1′ + 4 of the gene is exclusively found in glioma microvessels. To exclude the possibility that this missplicing results from splice-site mutations, mutation scanning was performed by a coupled in vitro transcription/translation assay (IVTT). No premature stop mutations were traced by the IVTT. The transcriptional changes consequently resulted in up-regulation at the protein expression level. The up-regulated expression of caldesmon was coincident with the down-regulated expression of tight junction proteins (occludin and ZO-1). The results support the notion that missplicing of the CALD1 gene in glioma microvasculature is an independent epigenetic event regulated at the transcriptional level. The event coexists with tight junction (TJ) breakdown of the endothelial cells in glioma microvasculature. The data reveal a novel mechanism contributing to dysfunctionality of glioma neovascularization

    Cognition and health-related quality of life in long-term survivors of high-grade glioma:an interactive perspective from patient and caregiver

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    Background: The health-related quality of life (HRQoL) and cognition are important indicators for the quality of survival in patients with high-grade glioma (HGG). However, data on long-term survivors and their caregivers are scarce. We aim to investigate the interaction between cognition and HRQoL in long-term survivors, their caregivers’ evaluations, and the effect on caregiver strain and burden.Methods: 21 long-term HGG (8 WHO grade III and 13 WHO grade IV) survivors (survival ≥ 5 years) and 15 caregivers were included. Cognition (verbal memory, attention, executive functioning, and language), HRQoL, anxiety and depression, caregiver strain, and caregiver burden were assessed with standardized measures. Questionnaires were completed by patients and/or their caregivers. Results: Mean survival was 12 years (grade III) and 8 years (grade IV). Cognition was significantly impaired with a large individual variety. Patients’ general HRQoL was not impaired but all functioning scales were deviant. Patient-proxy agreement was found in most HRQoL subscales. Three patients (14%) showed indications of anxiety or depression. One-third of the caregivers reported a high caregiver strain or a high burden. Test scores for attention, executive functioning, language, and/or verbal memory were correlated with perceived global health status, cognitive functioning, and/or communication deficits. Caregiver burden was not related to cognitive deficits.Conclusions: In long-term HGG survivors maintained HRQoL seems possible even when cognition is impaired in a large variety at the individual level. A tailored approach is therefore recommended to investigate the cognitive impairments and HRQoL in patients and the need for patient and caregiver support.</p

    Differential expression and prognostic significance of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis

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    The objective of this study was to identify differentially expressed and prognostically important genes in pediatric medulloblastoma and pediatric ependymoma by Affymetrix microarray analysis. Among the most discriminative genes, three members of the SOX transcription factor family were differentially expressed. Both SOX4 and SOX11 were significantly overexpressed in medulloblastoma (median, 11-fold and 5-fold, respectively) compared with ependymoma and normal cerebellum. SOX9 had greater expression in ependymoma (median, 16-fold) compared with normal cerebellum and medulloblastoma (p < 0.001 for all comparisons). The differential expression of the SOX genes was confirmed at the protein level by immunohistochemical analysis. Survival analysis of the most discriminative probe sets for each subgroup showed that 35 and 13 probe sets were predictive of survival in patients with medulloblastoma and ependymoma, respectively. There was a trend toward better survival with increasing SOX4 expression in medulloblastoma. SOX9 expression was predictive for favorable outcome in ependymoma. The mRNA levels of BCAT1, a mediator of amino acid breakdown, were higher (median, 15-fold) in medulloblastoma patients with metastases compared with those without metastasized disease (p < 0.01). However, the correlation between BCAT1 expression and metastatic medulloblastoma could not be confirmed at the protein level. The potential prognostic effect of the genes associated with outcome should be evaluated in ongoing studies using larger groups of patients. Furthermore, our findings support further analysis of the functional properties of the selected genes, especially SOX4 and BCAT1 for medulloblastoma and SOX9 for ependymoma, to evaluate the use of these genes as potential tumor markers, prognostic markers, and drug targets in pediatric brain tumors
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