Genomic-Enabled Medicine for Recurrent Glioblastoma
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ABSTRACT: In this prospective study, we performed genome-wide tumor/normal exome sequencing and tumor RNA-sequencing for recurrent glioblastoma patients. A subset of patients had both enhancing tumor and non-enhancing tissue sequenced to investigate spatial heterogeneity of this disease. Together, this information builds our understanding of the genomic underpinnings of glioblastoma, and contributes toward the knowledge base for identifying and developing more effective treatments for patients with glioblastoma.
SECONDARY ACCESSION(S): PRJNA408009PRJNA408010
REPOSITORIES: dbGaP
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Project description:Abstract from manuscript Glioblastoma develops an immunosuppressive microenvironment that fosters tumorigenesis and resistance to current therapeutic strategies. Here we use multiplexed tissue imaging and single-cell RNA-sequencing to characterize the composition, spatial organization, and clinical significance of extracellular purinergic signaling in glioblastoma. We show that glioblastoma exhibit strong expression of CD39 and CD73 ectoenzymes, correlating with increased adenosine levels. Microglia are the predominant source of CD39, while CD73 is principally expressed by tumor cells, particularly in tumors with amplification of EGFR and astrocyte-like differentiation. Spatially-resolved single-cell analyses demonstrate strong spatial correlation between tumor CD73 and microglial CD39, and that their spatial proximity is associated with poor clinical outcomes. Together, this data reveals that tumor CD73 expression correlates with tumor genotype, lineage differentiation, and functional states, and that core purine regulatory enzymes expressed by neoplastic and tumor-associated myeloid cells interact to promote a distinctive adenosine-rich signaling niche and immunosuppressive microenvironment potentially amenable to therapeutic targeting.
2022-06-27 | ST002203 | MetabolomicsWorkbench
Project description:The paper describes a model of glioblastoma.
Created by COPASI 4.25 (Build 207)
This model is described in the article:
Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential Equations
Kristen Abernathy and Jeremy Burke BMC
Computational and Mathematical Methods in Medicine Volume 2016, Article ID 1239861, 11 pages
Abstract:
Despite improvements in cancer therapy and treatments, tumor recurrence is a common event in cancer patients. One explanation of recurrence is that cancer therapy focuses on treatment of tumor cells and does not eradicate cancer stem cells (CSCs). CSCs are postulated to behave similar to normal stem cells in that their role is to maintain homeostasis. That is, when the population of tumor cells is reduced or depleted by treatment, CSCs will repopulate the tumor, causing recurrence. In this paper, we study the application of the CSC Hypothesis to the treatment of glioblastoma multiforme by immunotherapy. We extend the work of Kogan et al. (2008) to incorporate the dynamics of CSCs, prove the existence of a recurrence state, and provide an analysis of possible cancerous states and their dependence on treatment levels.
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2024-09-02 | BIOMD0000000757 | BioModels
Project description:Background Despite maximal therapy with surgery, chemotherapy and radiotherapy, glioblastoma multiforme (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relate to failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multi-omics approach using transcriptomics, proteomics and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation that relates to ERBB4 signaling. A pathway tool has been developed to visualize and compare the different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxina and afatinib, that target these affected pathways. Afatinib targeting ERBB4 signaling is currently in clinical trials for GBM. Conclusions Large variation on all omics levels exist between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead a multi-omics approach can be used to identify affected pathways on the individual patient level and select potential treatment options.
2020-11-17 | PXD017952 | Pride
Project description:Purpose: To identify transcriptional changes by RNA-seq in tumor samples, before bevacizumab combination treatment and after bevacizumab combination treatment in both responding and non-responding recurrent glioblastoma patients
2017-04-20 | GSE79671 | GEO
Project description:Treatment of glioblastoma with anti-CSF-1R immunotherapy, radiotherapy, or surgical tumor resection were found to all induce a fibrotic response to treatment, which was highly associated with tumor recurrence. To investigate the drivers of fibrotic treatment response we performed multi-omic analysis of the glioblastoma microenvironment following treatment with anti-CSF-1R immunotherapy. Studies consisted of mass spectrometry proteomic analysis, single cell transcriptomics, and high-dimensional spatial analysis. These data identified a protective spatial niche that supported tumor cell survival following treatment, ultimately leading to tumor recurrence. Therapeutic inhibition of fibrotic treatment response blocked the formation of this niche, and significantly improved survival in anti-CSF-1R preclinical trials
2024-08-12 | PXD041689 | Pride
Project description:Circular RNAs are single-stranded covalently closed non-coding RNAs expressed in a variety of tissues and cells. Glioblastoma (GBM) is the most aggressive and lethal tumor in the central nervous system, characterized by high recurrence and mortality rates. Here we explore circRNA expression profiles in 26 primary and 3 recurrent GBM samples and compare them to healthy brain tissue. Additionally we compare expression of circRNA in GBM patients blood in comparison to healthy donor blood.
2024-06-29 | GSE196695 | GEO
Project description:Background: Glioblastoma mortality is driven by tumour progression or recurrence despite administering a therapeutic arsenal consisting of surgical resection, radiation, and alkylating chemotherapy. The genetic changes underlying tumour progression and chemotherapy resistance are poorly understood. Methods: In this work, we sought to define the relationship between EGFR amplification status, EGFR mRNA expression, and EGFR pathway activity. We compared RNA-sequencing data from matched primary and recurrent tumour samples (N = 40 patients, 20 with EGFR amplification). Results: In the setting of glioblastoma recurrence, the EGFR pathway was overexpressed regardless of EGFR amplification status, suggesting a common genomic endpoint in recurrent glioblastoma, although EGFR amplification did associate with higher EGFR mRNA expression. Three of forty patients in the study cohort had EGFR-amplified tumours and received targeted EGFR therapy. Their molecular subtypes and clinical outcomes did not significantly differ from patients who received conventional chemotherapy. Conclusion: Our findings suggest that while the EGFR amplification may confer a unique molecular profile in primary glioblastoma, pathway analysis reveals upregulation of the EGFR pathway in recurrence, regardless of amplification status. As such, the EGFR pathway may be a key mediator of glioblastoma progression.
2023-01-25 | GSE222515 | GEO
Project description:Recurrent glioblastoma (GBM) has a grim prognosis, though MGMT promoter methylation and IDH mutation provide a significant survival advantage. The product of IDH mutation, 2-hydroxyglutarate, increases global DNA methylation by inhibiting demethylases. While lower-grade IDH-mutant gliomas demonstrate increased methylation as a result of this process, DNA becomes relatively hypomethylated during progression from low-grade glioma to secondary (IDH-mutant) GBM. Here we show that global DNA hypomethylation also occurs during primary (IDH-wild type) GBM recurrence. Moreover, in a phase I trial of 14 patients with recurrent (IDH-wild type) GBM, we targeted DNA hypomethylation using a methyl donor treatment. In autopsied tumors from patients treated, we observed a global increase in DNA methylation compared to initial tumor. These results suggest that hypomethylation is a marker for recurrence, and its reprogramming represents a potential therapeutic vulnerability.
2021-12-31 | GSE111627 | GEO
Project description:Glioblastoma is immunologically “cold” and resistant to single-agent immune-checkpoint inhibitors (ICI). Our previous study of neoadjuvant pembrolizumab in surgically-accessible recurrent glioblastoma identified a molecular signature of response to ICI and suggested that neoadjuvant pembrolizumab may improve survival. To increase the power of this observation, we performed bulk-RNA seq on resected tumor tissue in an additional 25 patients with surgically-accessible recurrent glioblastoma. Neoadjuvant pembrolizumab was associated with suppression of cell cycle/cancer proliferation genes and upregulation of T-cell/interferon-related gene expression. This signature was unique to patients treated with neoadjuvant pembrolizumab and was an independent risk factor for survival. Our results demonstrate a clear pharmacodynamic effect of anti-PD1 therapy in glioblastoma and identify pathways that may mediate resistance. However, we did not confirm a survival benefit to neoadjuvant pembrolizumab in recurrent glioblastoma. Our new data suggests some patients may exhibit innate resistance to pre-surgical ICI and require other concomitant therapies to sensitize effectively.
2024-09-24 | GSE264695 | GEO
Project description:Glioblastoma (GBM), the most common malignant tumor originating in the brain remains incurable with few treatment advances despite decades of investigation. Treatment failure is often attributed to intratumoral heterogeneity, which fosters tumor evolution and selection of resistant clones. However, intratumoral heterogeneity and tumor evolution remain poorly understood in GBM as studies are typically based on single tissue biopsies and lack spatial context. Here, we have utilized pre-operative MRI scans and intra-operative 3-D surgical neuronavigation for 10 primary IDH-WT GBM patients to acquire 103 tissue samples that represent maximal tumor diversity and are mapped by 3-D spatial coordinates. We combine insights from deconvolution of GBM transcriptomes and chromatin landscapes with single-cell analysis to assess intratumoral heterogeneity of each program at the cellular level and to distinguish neuronal, glial, and immune programs aberrantly active in tumor cells from their counterparts in normal cells. Collectively, these data provide unprecedented insight into GBM intratumoral heterogeneity and evolution from single-cell to whole-tumor 3D spatial resolution, redefining current understanding and providing a rich resource of targets for therapeutic investigation.
2024-01-18 | GSE226726 | GEO