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Glioblastoma: From Molecular Mechanisms to Therapies
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Glioblastoma: From Molecular Mechanisms to Therapies

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 2214

Special Issue Editor

Dr. Lata Adnani

E-Mail Website
Guest Editor
The Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada
Interests: neuro-oncology; immunotherapy; stem cells; neuroscience

Special Issue Information

Dear Colleagues,

Glioblastoma multiforme (GBM) is a lethal malignant adult brain cancer, known to recur following conventional therapy (surgical resection, chemotherapy, radiotherapy). While GBM is classified based on the transcriptional status of cells, recent studies using single cell and spatial omics have identified inter- and intra-tumoral heterogeneity in GBM, suggesting a need for novel and personalized treatment options. The “cold” immunosuppressive microenvironment, coupled with the tight surveillance of the blood–brain barrier in GBM results in dismal outcomes of immunotherapy clinically. Cellular communication between glioma cells and its microenvironment (including immune cells, endothelial cells, pericytes, astrocytes, neurons, and others) occur via the exchange of signals in a contact-dependent or -independent fashion, triggering therapeutic resistance and other alterations in the recipient cell. The former uses contact-dependent signaling pathways or the formation of nanotubes, while the latter employs the uptake of soluble factors or molecules encased in nanosized particles called extracellular vesicles (EVs) from donor cells. EVs are also being investigated to identify unique biomarkers in a liquid biopsy platform in order to determine the GBM subtype and evolution post treatment. Therefore, intercellular communication in conjunction with recent implications due to microenvironmental reorganization stimulates explorations of novel therapeutic strategies beyond conventional treatments.

This Special Issue, entitled “Glioblastoma: From Molecular Mechanisms to Therapies”, invites contributions, including original research articles, reviews, multi-omic analysis, or short perspective articles, on all aspects relating to the complex molecular pathophysiology of GBM, including diagnostic and prognostic biomarkers and novel therapeutic approaches to treat GBM.

Dr. Lata Adnani
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • glioblastoma
  • heterogeneity
  • tumor microenvironment
  • therapy resistance
  • immunotherapy
  • extracellular vesicles
  • biomarkers
  • vascular endothelial cells
  • pericytes
  • blood–brain barrier

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Published Papers (2 papers)

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Research

35 pages, 18292 KiB  
Article
Identification of Prognostic Genes Related to Cell Senescence and Lipid Metabolism in Glioblastoma Based on Transcriptome and Single-Cell RNA-Seq Data
by Qiong Li and Hongde Liu
Int. J. Mol. Sci. 2025, 26(5), 1875; https://doi.org/10.3390/ijms26051875 - 21 Feb 2025
Viewed by 870
Abstract
Glioblastoma (GBM) is the most aggressive primary brain cancer, with poor prognosis due to its aggressive behavior and high heterogeneity. This study aimed to identify cellular senescence (CS) and lipid metabolism (LM)-related prognostic genes to improve GBM prognosis and treatment. Transcriptome and scRNA-seq [...] Read more.
Glioblastoma (GBM) is the most aggressive primary brain cancer, with poor prognosis due to its aggressive behavior and high heterogeneity. This study aimed to identify cellular senescence (CS) and lipid metabolism (LM)-related prognostic genes to improve GBM prognosis and treatment. Transcriptome and scRNA-seq data, CS-associated genes (CSAGs), and LM-related genes (LMRGs) were acquired from public databases. Prognostic genes were identified by intersecting CSAGs, LMRGs, and differentially expressed genes (DEGs), followed by WGCNA and univariate Cox regression. A risk model and nomogram were constructed. Analyses covered clinicopathological features, immune microenvironment, somatic mutations, and drug sensitivity. GBM scRNA-seq data identified key cells and prognostic gene expression. SOCS1 and PHB2 were identified as prognostic markers, contributing to the construction of a robust risk model with excellent predictive ability. High-risk group (HRG) patients had poorer survival, higher immune and stromal scores, and distinct somatic mutation profiles. Drug sensitivity analysis revealed significant differences in IC50 values. In microglia differentiation, SOCS1 and PHB2 showed dynamic expression patterns. These findings provide new strategies for GBM prognosis and treatment. Full article
(This article belongs to the Special Issue Glioblastoma: From Molecular Mechanisms to Therapies)
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17 pages, 2307 KiB  
Article
Clinicopathological Parameters and Immunohistochemical Profiles in Correlation with MRI Characteristics in Glioblastomas
by Tamás-Csaba Sipos, Kövecsi Attila, Lóránd Kocsis, Adrian Bălașa, Rareș Chinezu, Beáta Ágota Baróti and Zsuzsánna Pap
Int. J. Mol. Sci. 2024, 25(23), 13043; https://doi.org/10.3390/ijms252313043 - 4 Dec 2024
Viewed by 988
Abstract
Glioblastoma is considered the most aggressive tumor of the central nervous system. The tumor microenvironment includes several components, such as endothelial cells, immune cells, and extracellular matrix components like matrix metalloproteinase-9 (MMP-9), which facilitates the proliferation of endothelial cells with pro-angiogenic roles. The [...] Read more.
Glioblastoma is considered the most aggressive tumor of the central nervous system. The tumor microenvironment includes several components, such as endothelial cells, immune cells, and extracellular matrix components like matrix metalloproteinase-9 (MMP-9), which facilitates the proliferation of endothelial cells with pro-angiogenic roles. The MRI characteristics of glioblastomas can contribute to determining the prognosis. The aim of this study was to analyze the relationship between tumor angiogenesis in glioblastomas in association with MMP-9 immunoexpression. The results were correlated with the Ki-67 proliferation index, p53 immunoexpression, and the mutational status of IDH1 and ATRX, as well as MRI imaging data. This retrospective study included forty-four patients diagnosed with glioblastoma at the Department of Pathology, Târgu Mureș County Emergency Clinical Hospital. MMP-9 immunoexpression was observed in approximately half of the cases, more frequently in patients over 65 years old. Comparing the imaging data with the immunohistochemical results, we observed that the median tumor volume was higher in glioblastomas with IDH1 and p53 mutations, ATRX wild-type status, negative MMP-9 expression, and high Ki-67 proliferation indexes. The median values of MVD-CD34 and MVD-CD105 were higher in cases with extensive peritumoral edema in the contralateral hemisphere. Additionally, ATRX mutations were frequently associated with a more pronounced deviation of the median structures. To statistically validate the associations between MRI and the histopathological features of glioblastomas, further studies with larger cohorts are required. Full article
(This article belongs to the Special Issue Glioblastoma: From Molecular Mechanisms to Therapies)
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