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Epigenetic regulation of glioblastoma: Impact on tumor recurrence and treatment resistance
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Neurooncology and neurodegeneration. (Lene Uhrbom)ORCID iD: 0000-0002-6459-4237
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Description
Abstract [en]

Glioblastoma (GB) remains one of the most aggressive and lethal brain cancers, characterized by profound heterogeneity and resistance to standard therapies. The current treatment regimen with surgical resection and chemoradiotherapy is not curative and GB will almost always recur in proximity to the resection cavity. This thesis explores the molecular and phenotypic complexity of GB through a series of investigations that utilize advanced multiomic approaches to explore the interplay between epigenetic regulation, lineage specificity, and tumor microenvironment interactions.

Paper I employs single-nucleus RNA sequencing, ATAC sequencing, and whole exome sequencing to compare the central tumor mass with the invasive edge in GB patients revealing that peritumoral cells exhibit distinct phenotypes marked by increased invasiveness, immune activation, and mesenchymal-like states while showing reduced proliferative capacity. These cells possess fewer genetic alterations but undergo significant epigenetic reprogramming, suggesting that targeting the immune-driven epigenetic changes could be a promising therapeutic strategy to prevent tumor recurrence.

Paper II investigates the influence of TP53 mutational status on epigenetic regulation in GB. Two epigenetically distinct subgroups—ATAC-C2 and ATAC-C3—were identified, correlating with divergent survival outcomes. ATAC-C2 tumors, linked to disruptive TP53 mutations, exhibit a mesenchymal, immune-activated phenotype and resistance to standard therapy. In contrast, ATAC-C3 tumors, which retain functional p53 activity, demonstrate better therapeutic responsiveness. This underscores the therapeutic potential of targeting mutation-specific p53 reactivation and alternative agents to counteract resistance mechanisms.

Paper III focuses on enhancer signatures and their role in defining GB subgroups with divergent survival rates. By integrating ATAC-seq and CUT&Tag data, we identify distinct enhancer landscapes that drive mesenchymal-like and neural progenitor-like phenotypes in ATAC-C2 and ATAC-C3 subgroups, respectively. The results highlight that enhancer signatures are more predictive of patient prognosis than traditional transcriptome-based subtyping. Furthermore, the findings reveal lineage-specific transcription factor networks that shape each subgroup's aggressiveness and therapeutic response, paving the way for novel epigenetic therapeutic strategies.

Together, these papers contribute to a deeper understanding of GB biology by elucidating the epigenetic mechanisms underlying tumor heterogeneity, invasion, recurrence, and resistance. They highlight the significance of personalized therapeutic approaches tailored to the unique molecular landscapes of GB subgroups, emphasizing the potential of targeting immune-activated states, TP53 vulnerabilities, and enhancer-driven transcriptional programs.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2025. , p. 56
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 2127
Keywords [en]
Glioblastoma, Peritumoral cells, Chromatin Profiles, Epigenetic regulation
National Category
Basic Cancer Research
Identifiers
URN: urn:nbn:se:uu:diva-551506ISBN: 978-91-513-2401-2 (print)OAI: oai:DiVA.org:uu-551506DiVA, id: diva2:1940711
Public defence
2025-04-16, Rudbecksalen, Dag Hammarskjölds väg 20, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2025-03-26 Created: 2025-02-26 Last updated: 2025-03-26Bibliographically approved
List of papers
1. Multiome analysis of local peritumoral glioblastoma cells uncovers phenotypically unique subpopulations
Open this publication in new window or tab >>Multiome analysis of local peritumoral glioblastoma cells uncovers phenotypically unique subpopulations
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Glioblastoma (GB) is a highly aggressive and therapy-resistant primary brain tumor with a dismal prognosis. Relapse typically occurs near the resection cavity, suggesting the local peritumoral area as its origin. GB cells from this region have been understudied and validated models are currently unavailable. Here, we analyzed matched tissue samples from the bulk tumor and the local peritumoral region of 11 GB patients, with samples from six patients sustaining growth beyond passage 6. Edge cultures were consistently more invasive but had lower self-renewal and tumorigenic capabilities compared to their matched bulk cultures. Whole exome sequencing (WES) analysis showed that edge cells were evolutionary early. Single nucleus (sn) RNA and ATAC-sequencing revealed a shift from less to more differentiated cell states in edge cultures. Cluster analysis identified core-like and edge-like clusters that could be further divided into three subclusters through snATAC-seq analysis. The bulk cell subclusters resembled known GB molecular subtypes, while two edge subclusters exhibited unique immune-related features. Our findings show that GB edge cells are functionally and molecularly distinct from their matched bulk cells and suggest that epigenomic immunoediting drives their progression, warranting extended investigations to understand their unique targets and vulnerabilities.

Keywords
invasive cells, cell states, recurrence
National Category
Basic Cancer Research
Identifiers
urn:nbn:se:uu:diva-551507 (URN)
Available from: 2025-02-26 Created: 2025-02-26 Last updated: 2025-02-26
2. Lineage-dependent epigenetic regulation in glioblastoma is influenced by p53 mutational status
Open this publication in new window or tab >>Lineage-dependent epigenetic regulation in glioblastoma is influenced by p53 mutational status
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

Glioblastoma (GB) is a highly malignant brain tumor characterized by significant heterogeneity, poor prognosis, and resistance to standard-of-care therapies. Using Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) we identified two epigenetically distinct subgroups (ATAC-C2 and ATAC-C3) in IDH wild-type GB patients, revealing marked survival differences (median survival: 323.5 vs. 493 days). ATAC-C2 tumors showed higher treatment resistance, likely driven by mutant TP53 genotypes, while ATAC-C3 tumors exhibited intact p53 signaling and better responses to therapy. Functional analyses confirmed a predominance of dysfunctional TP53 mutations in ATAC-C2 and wild-type TP53 in ATAC-C3. In vitro studies demonstrated that p53 reactivation via PRIMA-1 treatment rescues viability in ATAC-C2 cell lines, but its efficacy was mutation-dependent. Connectivity Map analysis identified MG-132, a proteasome inhibitor, and SIB-1893, a selective antagonist of mGluR5, as potential therapeutic candidates for ATAC-C2. However, these compounds effectively reduced cell viability in both ATAC-C2 and ATAC-C3 cultures, suggesting a broader cytotoxic effect independent of p53 status. This study underscores the role of p53 and epigenetics in GB heterogeneity, survival, and treatment response and highlights the potential of adjuvant mutation-specific and novel agents for GB patients of the highly treatment-resistant ATAC-C2 subgroup.

National Category
Basic Cancer Research
Identifiers
urn:nbn:se:uu:diva-551571 (URN)
Available from: 2025-02-26 Created: 2025-02-26 Last updated: 2025-02-26
3. Enhancer signatures define glioblastoma subgroups with divergent patient survival
Open this publication in new window or tab >>Enhancer signatures define glioblastoma subgroups with divergent patient survival
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(English)Manuscript (preprint) (Other academic)
Abstract [en]

A detailed understanding of epigenetic regulation in glioblastoma (GB) is crucial for identifying molecular mechanisms and developing targeted therapies for GB. To elucidate these mechanisms, we integrated analyses of chromatin accessibility, histone modifications (H3K4me1, H3K4me3, H3K27ac, H3K27me3), and chromatin loops in human and mouse GCCs. Our analysis reveals that the enhancer marker H3K4me1 and the repressive marker H3K27me3 in human GCCs can separate patients into two subgroups with significant survival differences and enhancer signatures defining GB-subgroups. Trans-acting transcription factor (TF) enrichment analysis suggested that neural progenitor lineage-specific TFs, such as OLIG2, SOX4, POU family TFs (POU3F1, POU4F1, and POU3F4), SOX15, and FOXC2, are multiple acting TFs in different types of enhancers and determine the lineage specificity of human GCCs. Cross-species analysis between human and mouse GCCs identified key TFs that define lineage-specific subgroups and observed both conserved and species-specific regulatory mechanisms. Our work provides a comprehensive resource, enhances our understanding of the epigenetic landscape, and identifies potential targets for GB therapeutic intervention.

National Category
Basic Cancer Research
Identifiers
urn:nbn:se:uu:diva-551570 (URN)
Available from: 2025-02-26 Created: 2025-02-26 Last updated: 2025-02-26

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