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Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Neurobiology and Clinical Neuroscience".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 7066

Special Issue Editor


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Guest Editor
Vagelos College of Physicians and Surgeons, New York, NY, USA
Interests: brain tumor

Special Issue Information

Dear Colleagues,

Glioblastoma (GBM) is a highly aggressive and invasive tumor that targets the central nervous system (CNS), boasting the lowest survival rate among CNS tumors with a median survival time of only 12–15 months. Its treatment protocol involves surgical resection, followed by fractionated radiotherapy and concurrent/adjuvant chemotherapy using temozolomide. Despite these clinical interventions, recurrence is prevalent, occurring in over 80% of cases at the resection cavity's edge within months post-treatment. This high recurrence rate and the tumor's location underscore the pressing need for a deeper understanding of therapeutic strategies.

An enhanced comprehension of GBM's molecular and cellular heterogeneity can not only refine subgroup categorization for precise diagnosis but also pave the way for targeted therapy success. Targeting the Warburg effect presents a promising avenue for GBM treatment due to its metabolic adaptability. Moreover, employing various immunotherapeutic approaches such as checkpoint inhibitors, vaccines, CAR-modified NK or T cells, and oncolytic virotherapy aims to bolster the immune response against GBM. Additionally, efforts to breach the blood–brain barrier (BBB) using nanotherapies (targeting GB cellular receptors or opening the BBB) or non-ionizing energies (high/low-intensity focused ultrasounds) offer potential breakthroughs to overcome current therapy limitations.

This Special Issue aims to delve into the pathophysiological mechanisms driving glioblastoma, uncover potential therapeutic targets, and explore advanced methodologies that hold promise in combating this lethal disease.

Dr. Thi Thu Trang Nguyen
Guest Editor

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Keywords

  • drug delivery methods (TTFields, nanoparticles)
  • immunotherapy
  • oncolytic virotherapy
  • cell metabolism (glycolysis, OXPHOS, fatty acid oxidation)
  • epigenetic
  • biomarkers
  • gene therapy (CRISPR/Cas9)

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Published Papers (5 papers)

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Research

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19 pages, 3840 KiB  
Article
Hypoxia-Regulated CD44 and xCT Expression Contributes to Late Postoperative Epilepsy in Glioblastoma
by Kosuke Kusakabe, Akihiro Inoue, Takanori Ohnishi, Yawara Nakamura, Yoshihiro Ohtsuka, Masahiro Nishikawa, Hajime Yano, Mohammed E. Choudhury, Motoki Murata, Shirabe Matsumoto, Satoshi Suehiro, Daisuke Yamashita, Seiji Shigekawa, Hideaki Watanabe and Takeharu Kunieda
Biomedicines 2025, 13(2), 372; https://doi.org/10.3390/biomedicines13020372 - 5 Feb 2025
Viewed by 483
Abstract
Background/Objectives: Late epilepsy occurring in the late stage after glioblastoma (GBM) resection is suggested to be caused by increased extracellular glutamate (Glu). To elucidate the mechanism underlying postoperative late epilepsy, the present study aimed to investigate the expressions and relations of molecules related [...] Read more.
Background/Objectives: Late epilepsy occurring in the late stage after glioblastoma (GBM) resection is suggested to be caused by increased extracellular glutamate (Glu). To elucidate the mechanism underlying postoperative late epilepsy, the present study aimed to investigate the expressions and relations of molecules related to Glu metabolism in tumor tissues from GBM patients and cultured glioma stem-like cells (GSCs). Methods: Expressions of CD44, xCT and excitatory amino acid transporter (EAAT) 2 and extracellular Glu concentration in GBM patients with and without epilepsy were examined and their relationships were analyzed. For the study using GSCs, expressions and relationships of the same molecules were analyzed and the effects of CD44 knock-down on xCT, EAAT2, and Glu were investigated. In addition, the effects of hypoxia on the expressions of these molecules were investigated. Results: Tumor tissues highly expressed CD44 and xCT in the periphery of GBM with epilepsy, whereas no significant difference in EAAT2 expression was seen between groups with and without epilepsy. Extracellular Glu concentration was higher in patients with epilepsy than those without epilepsy. GSCs displayed reciprocal expressions of CD44 and xCT. Concentrations of extracellular Glu coincided with the degree of xCT expression, and CD44 knock-down elevated xCT expression and extracellular Glu concentrations. Hypoxia of 1% O2 elevated expression of CD44, while 5% O2 increased xCT and extracellular Glu concentration. Conclusions: Late epilepsy after GBM resection was related to extracellular Glu concentrations that were regulated by reciprocal expression of CD44 and xCT, which were stimulated by differential hypoxia for each molecule. Full article
(This article belongs to the Special Issue Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives)
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Figure 1

Figure 1
<p>Concentrations of glutamate (Glu) in the tumor core and periphery of glioblastoma (GBM) samples with perioperative epilepsy (Group E) and without epilepsy (Group NE). Extracellular concentration of Glu was significantly larger in Group E, both in the tumor core and for total tumor tissue, than Group NE. In the tumor periphery, the Glu concentration in Group E tended to be larger compared to Group NE. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; E, Group E; NE, Group NE.</p>
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<p>Western blotting analysis comparing expressions of cluster of differentiation 44 (CD44), xCT, and excitatory amino acid transporter 2 (EAAT2) between Group E and NE in the tumor core and periphery. Group E showed higher expression of CD44 in the periphery and higher xCT in both the core and periphery of the tumor. No significant difference was seen for EAAT2. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; E, Group E; NE, Group NE.</p>
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<p>(<b>a</b>) Western blotting analysis of CD44, xCT, and EAAT2 expression showing on the gel. (<b>b</b>) Expressions of CD44, xCT, and EAAT2 and (<b>c</b>) extracellular Glu concentration in three glioma stem-like cell (GSC) lines, GSC-1, -2, and -3. GSC-2 showed the highest CD44 expression while displaying the lowest xCT and extracellular Glu concentration and the highest EAAT2. The pattern of extracellular Glu concentration coincided with that of xCT. Protein levels were normalized as ratios versus β-actin and indicated as “Relative protein levels”. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.005; *** <span class="html-italic">p</span> &lt; 0.0005.</p>
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<p>(<b>a</b>) Effects of <span class="html-italic">CD44</span> knockdown on expressions of xCT and EAAT2 and (<b>b</b>) extracellular Glu concentration in GSC-2. GSC-2* (stable <span class="html-italic">CD44</span>-knockdown cells) displayed an increased expression of xCT and also elevated extracellular Glu. No significant differences in EAAT2 were seen with CD44 knockdown. Protein levels were normalized as ratios versus β-actin and indicated as “Relative protein levels”. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.0005; **** <span class="html-italic">p</span> &lt; 0.00005.</p>
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<p>(<b>a</b>) Inhibition of xCT by sulfasalazine (SSZ) decreased extracellular Glu release and increased extracellular cysteine concentration in all GSCs. (<b>b</b>) Treatment of GSCs with SSZ promoted the cleaved poly-ADP ribose polymerase (PARP) under 5% O<sub>2</sub> hypoxic conditions, demonstrating the induction of apoptosis in all GSCs. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.005; *** <span class="html-italic">p</span> &lt; 0.0005; **** <span class="html-italic">p</span> &lt; 0.00005.</p>
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<p>(<b>a</b>) Extracellular Glu concentrations in the three GSC lines and GSC-2* under differential hypoxia of 1% and 5% O<sub>2</sub>. All GSCs showed a tendency toward an increase in Glu concentration by changing the hypoxia from 1% to 5% O<sub>2</sub>. In particular, GSC-2 was the only cell line to demonstrate a significant increase in Glu. (<b>b</b>) Effects of hypoxia (1% and 5% O<sub>2</sub>) on expressions of CD44, xCT, and EAAT2 in the three GSC lines. A tendency toward severe hypoxia increasing CD44 and EAAT2 expression and decreasing xCT expression was seen in all GSC lines compared to moderate hypoxia. Changes of CD44 and xCT expression between the two hypoxias were significant only in GSC-2. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.0005.</p>
Full article ">Figure 6 Cont.
<p>(<b>a</b>) Extracellular Glu concentrations in the three GSC lines and GSC-2* under differential hypoxia of 1% and 5% O<sub>2</sub>. All GSCs showed a tendency toward an increase in Glu concentration by changing the hypoxia from 1% to 5% O<sub>2</sub>. In particular, GSC-2 was the only cell line to demonstrate a significant increase in Glu. (<b>b</b>) Effects of hypoxia (1% and 5% O<sub>2</sub>) on expressions of CD44, xCT, and EAAT2 in the three GSC lines. A tendency toward severe hypoxia increasing CD44 and EAAT2 expression and decreasing xCT expression was seen in all GSC lines compared to moderate hypoxia. Changes of CD44 and xCT expression between the two hypoxias were significant only in GSC-2. ns, not significant; * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.0005.</p>
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<p>Hypothetical mechanisms underlying tumor recurrence and postoperative late epilepsy in GBM, with the two processes developing coordinately. After resection of high-invasive GBM, infiltrating GSCs, abundant with CD44, in the peritumoral area tend to remain and survive. These GSCs migrate toward the original tumor site around the resection cavity as tissue repairment progresses accompanied by altering hypoxia of 1% to 5% O<sub>2</sub>, prompted by activating vascular endothelial growth factor (VEGF). This area of moderate hypoxia provides a favorable condition for proliferation of cancer stem cells. Aggressive proliferation of GSCs leads to accumulation of reactive oxygen species (ROS). Consequently, xCT up-regulates to reduce the cytotoxicity while expression of CD44 decreases, demonstrating the converting phenotypes from high-invasive and high-migratory to low-invasive and high-proliferative tumor cells. Along with this, activated xCT releases excessive Glu in the extracellular space, which is expected to promote epileptogenicity in the pre-stage of tumor recurrence. To achieve this cellular behavior, co-existence and reciprocal expressions of CD44 and xCT should be required.</p>
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17 pages, 15430 KiB  
Article
CLIC4 Is a New Biomarker for Glioma Prognosis
by Zhichun Liu, Junhui Liu, Zhibiao Chen, Xiaonan Zhu, Rui Ding, Shulan Huang and Haitao Xu
Biomedicines 2024, 12(11), 2579; https://doi.org/10.3390/biomedicines12112579 - 11 Nov 2024
Viewed by 826
Abstract
Background: Chloride Intracellular Channel 4 (CLIC4) plays a versatile role in cellular functions beyond its role in primary chloride ion transport. Notably, many studies found an association between CLIC4 expression and cancers. However, the correlation between CLIC4 and glioma remains to [...] Read more.
Background: Chloride Intracellular Channel 4 (CLIC4) plays a versatile role in cellular functions beyond its role in primary chloride ion transport. Notably, many studies found an association between CLIC4 expression and cancers. However, the correlation between CLIC4 and glioma remains to be uncovered. Methods: A total of 3162 samples from nine public datasets were analyzed to reveal the relationship between CLIC4 expression and glioma malignancy or prognosis. Immunohistochemistry (IHC) staining was performed to examine the results in an in-house cohort. A nomogram model was constructed to predict the prognosis. Functional enrichment analysis was employed to find CLIC4-associated differentially expressed genes in glioma. Immune infiltration analysis, correlation analysis, and IHC staining were employed, aiming to examine the correlation between CLIC4 expression, immune cell infiltration, and ECM (extracellular matrix)-related genes. Results: The expression level of CLIC4 was correlated with the malignancy of glioma and the prognosis of patients. More aggressive gliomas and mesenchymal GBM are associated with a high expression of CLIC4. Gliomas with IDH mutation or 1p19q codeletion express a low level of CLIC4, and a high expression of CLIC4 correlates with poor prognosis. The nomogram model shows a good predictive performance. The DEGs (differentially expressed genes) in gliomas with high and low CLIC4 expression are enriched in extracellular matrix and immune functions. On the one hand, gliomas with high CLIC4 expression have a greater presence of macrophages, neutrophils, and eosinophils; on the other hand, a high CLIC4 expression in gliomas is positively associated with ECM-related genes. Conclusions: Compared to glioma cells with low CLIC4 expression, gliomas with high CLIC4 expression exhibit greater malignancy and poorer prognosis. Our findings indicate that a high level of CLIC4 correlates with high expression of ECM-related genes and the infiltration of macrophages, neutrophils, and eosinophils within glioma tissues. Full article
(This article belongs to the Special Issue Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives)
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Figure 1

Figure 1
<p>Transcription level of <span class="html-italic">CLIC4</span> in gliomas of public datasets. (<b>A</b>) <span class="html-italic">CLIC4</span> mRNA data of glioma tissues and normal brain tissues from six public datasets. (<b>B</b>) <span class="html-italic">CLIC4</span> mRNA data of glioma tissues from four public datasets. Each dataset was divided into three groups according to WHO grading. (<b>C</b>) <span class="html-italic">CLIC4</span> mRNA data of glioma tissues from two public datasets. Each one was divided into four groups according to IDH statue and 1p19q deletion. ns &gt; 0.05, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. NBT means normal brain tissue.</p>
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<p>Transcription level of <span class="html-italic">CLIC4</span> in different subtypes of GBM. (<b>A</b>) <span class="html-italic">CLIC4</span> mRNA in different subtypes of GBM from five datasets. (<b>B</b>) The correlation between CLIC4 expression and mesenchymal-related genes. ns &gt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Transcription level of CLIC4 in gliomas of clinic samples. (<b>A</b>) Representative IHC images of CLIC4 in normal brain tissue, LGG, and GBM. Scale bars were 500 µm, 100 µm, 50 µm, and 20 µm. (<b>B</b>) The average optical density of IHC staining. (<b>C</b>) Representative IHC images in IDH mut LGG, IDH WT LGG, and IDH WT GBM. Scale bars were 50 µm and 500 µm. ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Relationship between <span class="html-italic">CLIC4</span> mRNA expression and prognosis in patients with glioma. Differences in survival of different <span class="html-italic">CLIC4</span> mRNA expression levels were analyzed by Kaplan–Meier analysis. HR, hazard ratio.</p>
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<p>The nomogram model that includes clinicopathological factors (age, WHO grade, and IDH status) and <span class="html-italic">CLIC4</span> expression levels to predict the 1-, 3-, and 5-year survival rates of glioma patients.</p>
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<p>An analysis of the nomogram model’s calibration curve for predicting 1-, 3-, and 5-year survival rates.</p>
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<p>Based on the <span class="html-italic">CLIC4</span> expression levels in gliomas, functional enrichment analysis of differentially expressed genes (DEGs) was conducted. (<b>A</b>) GO enrichment analysis of the <span class="html-italic">CLIC4</span>-associated DEGs. (<b>B</b>) In glioma tissues, a Gene Set Enrichment Analysis was conducted using the <span class="html-italic">CLIC4</span>-associated DEGs between groups with high- and low-<span class="html-italic">CLIC4</span> expression.</p>
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<p>Inflammatory cells infiltrating into gliomas are correlated with <span class="html-italic">CLIC4</span> expression in cancer patients with <span class="html-italic">CLIC4</span> expression. (<b>A</b>) Spearman’s correlation analysis results in 24 immune cell types. (<b>B</b>) The infiltration levels of macrophage, neutrophils, eosinophils, pDCs, NK CD56bright cells, and treg cells. (<b>C</b>) The correlation chord diagram results between <span class="html-italic">CLIC4</span> expression and the immune cell markers. ns &gt; 0.05 * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>IHC staining of CD68 (<b>A</b>), VIM (<b>B</b>), SNAI1 (<b>C</b>), and MMP (<b>D</b>) in a low or high expression of CLIC4 glioma patients. Scale bars were 500 µm, 100 µm, and 20 µm.</p>
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<p>The correlation analysis between ECM-related genes and <span class="html-italic">CLIC4</span> expression in glioma patients.</p>
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17 pages, 288 KiB  
Article
CDKN2A Homozygous Deletion Is a Stronger Predictor of Outcome than IDH1/2-Mutation in CNS WHO Grade 4 Gliomas
by Sang Hyuk Lee, Tae Gyu Kim, Kyeong Hwa Ryu, Seok Hyun Kim and Young Zoon Kim
Biomedicines 2024, 12(10), 2256; https://doi.org/10.3390/biomedicines12102256 - 4 Oct 2024
Cited by 1 | Viewed by 1455
Abstract
Background: We primarily investigated the prognostic role of CDKN2A homozygous deletion in CNS WHO grade 4 gliomas. Additionally, we plan to examine traditional prognostic factors for grade 4 gliomas and validate the findings. Materials: We conducted a retrospective analysis of the [...] Read more.
Background: We primarily investigated the prognostic role of CDKN2A homozygous deletion in CNS WHO grade 4 gliomas. Additionally, we plan to examine traditional prognostic factors for grade 4 gliomas and validate the findings. Materials: We conducted a retrospective analysis of the glioma cohorts at our institute. We reviewed medical records spanning a 15-year period and examined pathological slides for an updated diagnosis according to the 2021 WHO classification of CNS tumors. We examined the IDH1/2 mutation and CDKN2A deletion using NGS analysis with ONCOaccuPanel®. Further, we examined traditional prognostic factors, including age, WHO performance status, extent of resection, and MGMT promoter methylation status. Results: The mean follow-up duration was 27.5 months (range: 4.1–43.5 months) and mean overall survival (OS) was 20.7 months (SD, ±1.759). After the exclusion of six patients with a poor status of pathologic samples, a total of 136 glioblastoma cases diagnosed by previous WHO classification criteria were newly classified into 29 (21.3%) astrocytoma, IDH-mutant, and CNS WHO grade 4 cases, and 107 (78.7%) glioblastoma, IDH-wildtype, and CNS WHO grade 4 cases. Among them, 61 (56.0%) had CDKN2A deletions. The high-risk group with CDKN2A deletion regardless of IDH1/2 mutation had a mean OS of 16.65 months (SD, ±1.554), the intermediate-risk group without CDKN2A deletion and with IDH1/2 mutation had a mean OS of 21.85 months (SD, ±2.082), and the low-risk group without CDKN2A deletion and with IDH1/2 mutation had a mean OS of 33.38 months (SD, ±2.946). Multifactor analysis showed that age (≥50 years vs. <50 years; HR 4.645), WHO performance (0, 1 vs. 2; HR 5.002), extent of resection (gross total resection vs. others; HR 5.528), MGMT promoter methylation, (methylated vs. unmethylated; HR 5.078), IDH1/2 mutation (mutant vs. wildtype; HR 6.352), and CDKN2A deletion (absence vs. presence; HR 13.454) were associated with OS independently. Conclusions: The present study suggests that CDKN2A deletion plays a powerful prognostic role in CNS WHO grade 4 gliomas. Even if CNS WHO grade 4 gliomas have mutant IDH1/2, they may have poor clinical outcomes because of CDKN2A deletion. Full article
(This article belongs to the Special Issue Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives)
11 pages, 2028 KiB  
Article
Epigenetic Characteristics in Primary and Recurrent Glioblastoma—Influence on the Clinical Course
by Alexander Quiring, Hannah Spielmann, Fritz Teping, Safwan Saffour, Fatemeh Khafaji, Walter Schulz-Schaeffer, Nathan Monfroy, Joachim Oertel, Stefan Linsler and Christoph Sippl
Biomedicines 2024, 12(9), 2078; https://doi.org/10.3390/biomedicines12092078 - 12 Sep 2024
Viewed by 861
Abstract
Objective: Epigenetic tumor characteristics are in focus for glioblastoma prognosis. This raises the question if these characteristics present with stable expression during the progression of the disease, and if potential temporal instability might influence their prognostic value. Methods: A total of 44 patients [...] Read more.
Objective: Epigenetic tumor characteristics are in focus for glioblastoma prognosis. This raises the question if these characteristics present with stable expression during the progression of the disease, and if potential temporal instability might influence their prognostic value. Methods: A total of 44 patients suffering from glioblastoma who were treated for their primary and relapse tumors were included in the study. Tumor specimens from the initial and recurrent tumor resection were subjected to evaluation of MGMT, p15, and p16 methylation statuses. MiRNA-21, -24, -26a, and -181d expression was evaluated as well. The stability of these epigenetic markers during the progression of the disease was correlated with further clinical data. A Cancer Genome Atlas (TCGA) dataset of 224 glioblastoma patients was used as an independent cohort to validate the results. Results: Instability was observed in all examined epigenetic markers. MGMT methylation changed in 30% of patients, p15 methylation changed in 35%, and p16 methylation changed in 37.5% of cases. MiRNA expression in corresponding initial and relapse tumor specimens varied considerably in general, individual cases presented with a stable expression. Patients with a decreased expression of miRNA-21 in their recurrence tumor showed significantly longer overall survival. These results are supported by the data from TCGA indicating similar results. Conclusions: Epigenetic characteristics may change during the course of glioblastoma disease. This may influence the prognostic value of derived molecular markers. Full article
(This article belongs to the Special Issue Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives)
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Figure 1

Figure 1
<p>Details of methylation analysis for each specimen. The cases are organized from left to right (1–40). The different methylation sites are indicated on the left, for the initial tumor and the relapse tumor. A methylated gene promoter is indicated in grey, a non-methylated one in white. The blue triangles indicate cases with a chance in methylation status between initial and relapse tumor tissue. The red tiles represent cases with no methylation result.</p>
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<p>Details of miRNA analysis for each specimen. The cases are organized from left to right (1–40). The different analyzed miRNAs are shown on the left, for the initial tumor and the relapse tumor. The color of each tile represents the expression value for the respective tumor specimen. The scale of color ranges from green (lowest expression) to red (highest expression) for the indicated miRNA.</p>
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<p>Mean miRNA expression in initial and relapse tumors. (<b>A</b>–<b>D</b>) indicate the expression of miRNA-21, miRNA-24, miRNA-26a, and miRNA-181d, respectively. The <span class="html-italic">y</span>-axis represents miRNA expression measured as relative expression level (REL). If a value is more than 1.5 standard deviations from the mean, it is considered a mild outlier and marked with a small circle (°). Extreme outliers, more than 3 standard deviations from the mean, are visualized with a star (*).</p>
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<p>A comparison between the study collective (<b>A</b>) and the TCGA control group (<b>B)</b> regarding miRNA-21 expression and survival. Patients with a decrease in the miRNA-21 expression in their relapse tumor (red curve) showed a significantly longer survival in both cohorts.</p>
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Review

Jump to: Research

26 pages, 2875 KiB  
Review
Revolutionizing Brain Tumor Care: Emerging Technologies and Strategies
by Trang T. T. Nguyen, Lloyd A. Greene, Hayk Mnatsakanyan and Christian E. Badr
Biomedicines 2024, 12(6), 1376; https://doi.org/10.3390/biomedicines12061376 - 20 Jun 2024
Viewed by 2614
Abstract
Glioblastoma multiforme (GBM) is one of the most aggressive forms of brain tumor, characterized by a daunting prognosis with a life expectancy hovering around 12–16 months. Despite a century of relentless research, only a select few drugs have received approval for brain tumor [...] Read more.
Glioblastoma multiforme (GBM) is one of the most aggressive forms of brain tumor, characterized by a daunting prognosis with a life expectancy hovering around 12–16 months. Despite a century of relentless research, only a select few drugs have received approval for brain tumor treatment, largely due to the formidable barrier posed by the blood–brain barrier. The current standard of care involves a multifaceted approach combining surgery, irradiation, and chemotherapy. However, recurrence often occurs within months despite these interventions. The formidable challenges of drug delivery to the brain and overcoming therapeutic resistance have become focal points in the treatment of brain tumors and are deemed essential to overcoming tumor recurrence. In recent years, a promising wave of advanced treatments has emerged, offering a glimpse of hope to overcome the limitations of existing therapies. This review aims to highlight cutting-edge technologies in the current and ongoing stages of development, providing patients with valuable insights to guide their choices in brain tumor treatment. Full article
(This article belongs to the Special Issue Glioblastoma: Pathogenetic, Diagnostic and Therapeutic Perspectives)
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Figure 1

Figure 1
<p>Multimodal approaches to glioblastoma treatment encompass various strategies. Robotic-assisted procedures enhance the effectiveness and accessibility of brain tumor surgery by offering heightened precision and minimal invasiveness. Alongside this, external beam radiation therapy utilizes computer-controlled linear accelerators to administer precise radiation doses to targeted areas within the tumor. Additionally, chemotherapy plays a crucial role by utilizing potent drugs to eliminate rapidly dividing cancer cells, often administered orally or intravenously to complement other treatment modalities like surgery and radiation therapy. Moreover, innovative strategies, such as immunotherapy and oncolytic virus therapy, are being explored to harness the immune system’s capabilities and directly combat cancer cells.</p>
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<p>Refining glioblastoma treatment involves employing methods for targeted therapy. <b>Upper left</b>: PARP inhibitors target an enzyme called poly ADP-ribose polymerase (PARP), which plays a key role in repairing damaged DNA. SSB: single strand break; DSB: double stand break; PARPi: PARP inhibitor. <b>Upper right</b>: HDAC inhibitors target enzymes known as histone deacetylases, which play a role in regulating gene expression. HDACi: HDAC inhibitor. <b>Lower left</b>: CDK4/6 inhibitors block the activities of cyclin-dependent kinases 4 and 6, which are involved in cell cycle progression. Cyclin-D-CDK4/6 complexes regulate the cell cycle by phosphorylating RB. Phosphorylated RB releases E2F, facilitating cell cycle progression from the G1 to S phase. CDK4/6i: CDK4/6 inhibitor; RB: Retinoblastoma tumor suppressor gene. <b>Lower right</b>: Bevacizumab blocks the action of vascular endothelial growth factor (VEGF) and inhibits angiogenesis, which is vital for tumor growth and metastasis. The figure was generated using BioRender.</p>
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<p>Current treatment for a newly diagnosed brain tumor. Patients will receive maximal safe surgical resection, followed by radiation therapy and adjuvant treatments like temozolomide and TTFields. The figure was generated using BioRender.</p>
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